Agnete S T Engelsen1,2,3, Katarzyna Wnuk-Lipinska1, Sebastien Bougnaud1,2, Fanny A Pelissier Vatter1,2, Crina Tiron1, René Villadsen4, Masaru Miyano5,6, Maria L Lotsberg1,2, Noëlly Madeleine1, Pouda Panahandeh1, Sushil Dhakal1, Tuan Zea Tan7, Stacey D'mello Peters1, Sturla Grøndal1, Sura M Aziz8,2,9, Silje Nord10, Lars Herfindal1, Martha R Stampfer5, Therese Sørlie10, Rolf A Brekken11, Oddbjørn Straume2,12, Nils Halberg1, Gro Gausdal1, Jean Paul Thiery2,3,13,7,14,15, Lars A Akslen8,2,9, Ole W Petersen4,16, Mark A LaBarge2,5,6, James B Lorens1,2. 1. Department of Biomedicine, University of Bergen, 5021 Bergen, Norway. 2. Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway. 3. INSERM UMR 1186, Integrative Tumor Immunology and Genetic Oncology, Gustave Roussy Cancer Campus Grand Paris, 94800 Villejuif, France. 4. Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Copenhagen N 2200, Denmark. 5. Biolgical Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. 6. Department of Population Sciences, Beckman Research Institute at City of Hope, Duarte, CA 91910, USA. 7. Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore. 8. Department of Clinical Science, University of Bergen, 5021 Bergen, Norway. 9. Department of Pathology, Haukeland University Hospital, 5021 Bergen, Norway. 10. Department of Cancer Research, Oslo University Hospital, 0310 Oslo, Norway. 11. Hamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, TX 75390, USA. 12. Department of Oncology and Medical Physics, Haukeland University Hospital, 5021 Bergen, Norway. 13. Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. 14. Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, A-STAR, Singapore 138673, Singapore. 15. Bioland Laboratory, Guangzhou Regenerative Medicine and Health, Bio-island, Guangzhou, 510320, China. 16. Novo Nordisk Foundation Center for Stem Cell Biology, University of Copenhagen, Copenhagen, Copenhagen N 2200, Denmark.
Abstract
The receptor tyrosine kinase AXL is associated with epithelial plasticity in several solid tumors including breast cancer and AXL-targeting agents are currently in clinical trials. We hypothesized that AXL is a driver of stemness traits in cancer by co-option of a regulatory function normally reserved for stem cells. AXL-expressing cells in human mammary epithelial ducts co-expressed markers associated with multipotency, and AXL inhibition abolished colony formation and self-maintenance activities while promoting terminal differentiation in vitro. Axl-null mice did not exhibit a strong developmental phenotype, but enrichment of Axl + cells was required for mouse mammary gland reconstitution upon transplantation, and Axl-null mice had reduced incidence of Wnt1-driven mammary tumors. An AXL-dependent gene signature is a feature of transcriptomes in basal breast cancers and reduced patient survival irrespective of subtype. Our interpretation is that AXL regulates access to epithelial plasticity programs in MaSCs and, when co-opted, maintains acquired stemness in breast cancer cells.
The receptor tyrosine kinase AXL is associated with epithelial plasticity in several solid tumors including breast cancer and AXL-targeting agents are currently in clinical trials. We hypothesized that AXL is a driver of stemness traits in cancer by co-option of a regulatory function normally reserved for stem cells. AXL-expressing cells in human mammary epithelial ducts co-expressed markers associated with multipotency, and AXL inhibition abolished colony formation and self-maintenance activities while promoting terminal differentiation in vitro. Axl-null mice did not exhibit a strong developmental phenotype, but enrichment of Axl + cells was required for mouse mammary gland reconstitution upon transplantation, and Axl-null mice had reduced incidence of Wnt1-driven mammary tumors. An AXL-dependent gene signature is a feature of transcriptomes in basal breast cancers and reduced patient survival irrespective of subtype. Our interpretation is that AXL regulates access to epithelial plasticity programs in MaSCs and, when co-opted, maintains acquired stemness in breast cancer cells.
Phenotypic plasticity, the capacity of a single genotype to exhibit variable phenotypes in different environments, is a key feature of epithelial homeostasis. The multi-lineage potential of epithelial stem cells is thought to be maintained by specific niche microenvironments and elicited by regenerative cues from tissue wounding and inflammation (Blanpain and Fuchs, 2014). Co-option of these homeostatic mechanisms by carcinoma cells facilitates transition between stem-like mesenchymal and differentiated epithelial states in response to tumor microenvironment dynamics and therapeutic challenge and is associated with poor clinical outcome (Nieto et al., 2016).The adult human mammary gland is a bilayer epithelium with basal-located myoepithelial (MEP) cells that surround luminal epithelial cells (LEPs) that are thought to be maintained by mammary stem cells (MaSCs), which continue to elude a consensus definition (Fridriksdottir et al., 2017; Petersen and Polyak, 2010; Villadsen et al., 2007; Eirew et al., 2008). The breast epithelium exhibits remarkable organ-scale remodeling during puberty and multiple lactation cycles that requires a renewable reservoir of stem and committed progenitor cells (Visvader and Stingl, 2014). Stem cell-related gene expression programs are utilized by breast cancer cells during malignant progression – here also referred to as co-option (Lawson et al., 2015; Billaud and Santoro, 2011). Transcription factors (e.g. SNAI1/2) that regulate the epithelial-to-mesenchymal transition (EMT) gene program during early development influence MaSC state transitions, and their dysregulation causes luminal compartment expansion (Phillips et al., 2014; Ye et al., 2015). The AXL receptor tyrosine kinase (RTK) is associated with malignant progression and poor patient survival in several malignancies including breast cancer (Davidsen et al., 2017). AXL is activated by a single ligand, GAS6, that activates a unique RTK signaling network in cancer cells (Meyer et al., 2013). AXL expression is correlated with epithelial-mesenchymal transition, immune evasion, increased metastatic potential, as well as therapeutic resistance in several tumor types (Gjerdrum et al., 2010; Ludwig et al., 2018; Zhang et al., 2012; Antony et al., 2016; Lotsberg et al., 2020; Terry et al., 2019). AXL is therefore an important therapeutic target, and AXL kinase inhibitors are currently in clinical trials (Davidsen et al., 2017).In contrast to the prominence of AXL in cancer progression, the role of AXL signaling in normal physiology is comparatively unknown, limiting our understanding of the consequences of AXL activation in malignant progression. We hypothesize that AXL is a gatekeeper to the signaling cascades and gene programs that enable epithelial plasticity, and that its principle role in normal epithelia is to regulate access to programs that are permissive for stem or progenitor cell states. Herein we identify AXL as a conserved mediator that governs human and mouse MaSC activity, providing a conserved marker of adult stem cells that is correlated with epithelial plasticity.
Results
AXL Expression Is a Feature of Rare Adult Human Breast Epithelial Cells
AXL knockout mice are viable and do not show a developmental phenotype (Lu and Lemke, 2001); thus there is no evidence linking AXL to developmental EMT. This prompted us to investigate whether AXL is a heretofore unappreciated feature of adult human mammary epithelia. Immunofluorescence staining for AXL expression in normal human breast tissue specimens detected infrequent AXL-expressing cells. A subset of the AXL-expressing cells in human mammary gland overlap with the K14/K19 double-positive population, a phenotype associated with multipotency (Shimono et al., 2009; Huo and Macara, 2014; Dravis et al., 2015; Lilja et al., 2018; Wuidart et al., 2018; Spike et al., 2012; Giraddi et al., 2018; Chen et al., 2017) (Figures 1A–1D). Small clusters of AXL+ epithelial cells co-expressing of luminal (K19) and basal (K14) markers were also detected in lobular acini (Figures 1E–1H). In ductal structures, AXL-expressing cells represent a unique population of cells with strong AXL staining (Figure 1I). RNA in situ hybridization (RNA-ISH) analysis of the ductal structures verified this expression pattern (Figure 1J (AXL, brown)). Epithelial cells with >15 AXL mRNA transcripts comprised a minority of cells of the mammary epithelium, consistent with a low Histo-score of 63 (Figure 1L). In contrast, RNA-ISH for the AXL-ligand GAS6 (Figure 1K), revealed a more widely distributed expression among most LEPs, and this heterogeneous expression pattern is correspondingly reflected in the higher Histo-score of 141 (Figure 1M). Dual RNA-ISH detected cells with GAS6 transcripts in LEP that were adjacent to the AXL-expressing cells in the same FFPE tissue sections (Figure 1N; RNA-ISH controls are shown in Figure S1). Collectively, these results suggested that AXL-expressing cells constitute a rare population of cells in the mammary epithelium. Some of the weaker staining AXL-positive cells in the ductal and lobular epithelium are K14+/K19+ positive, and based on RNA-ISH the GAS6 ligand is produced mainly by luminal cells.
Figure 1
AXL Expression Is a Feature of Rare Adult Human Breast Epithelial Cells
AXL is expressed in rare epithelial cells in normal breast epithelium.
(A–D) (A) Multi-color immunofluorescence analysis of normal breast epithelium biopsies (n = 20). The ducts shown in (A–D) are formalin-fixed paraffin-embedded (FFPE) tissue sections stained with monoclonal antibodies against AXL (MAB10C9, white), MEP-specific cytokeratin 14 (K14, red), and luminal epithelial-specific cytokeratin 19 (K19, green); nuclear counterstain (DAPI, blue).
(E-H) Cryosections of normal human breast epithelium stained with monoclonal antibodies against: (E) AXL (ab21965, green), (F) K19 (magenta), (G) K14 (red). Overlay (H) reveals the areas of co-localized expression of AXL, K19, and K14 (white) in the lobular acini.
(I) Chromogenic IHC of AXL (ab21965, HRP-DAB brown) on FFPE sections of human mammary tissue. Counterstain by hematoxylin (blue).
(J–M) RNA in situ hybridization (RNA-ISH) on FFPE breast tissue specimens reveal the localization and distribution of (J) AXL mRNA transcripts, and (K) mRNA transcripts of the AXL-ligand GAS6. Each dot (brown, HRP-DAB) represents a single RNA molecule. (L and M) Histo-score analysis was performed to quantify the heterogeneity of the AXL and GAS6 mRNA transcripts within the breast epithelium at the single cell level. The Histo-score of transcript expression was determined by categorizing epithelial cells in five predefined bins based on the number of transcripts per cell. Distribution (% of cells/bin) as well as Histo-scores provided on a range of 0-400 is given.
(N) Dual RNA ISH on paraffin-embedded section of normal human breast specimen reveal the spatial distribution and juxtaposition of AXL (AP-based Fast Red) and GAS6 (HRP-based Green) mRNA transcripts within the normal human mammary epithelium. Counterstain by hematoxylin (blue).
The ducts shown in (A–D), (I), and (M–K), and (N), and the lobular acini shown in (E–H) are obtained from tumor biopsies from different patients.
AXL Expression Is a Feature of Rare Adult Human Breast Epithelial CellsAXL is expressed in rare epithelial cells in normal breast epithelium.(A–D) (A) Multi-color immunofluorescence analysis of normal breast epithelium biopsies (n = 20). The ducts shown in (A–D) are formalin-fixed paraffin-embedded (FFPE) tissue sections stained with monoclonal antibodies against AXL (MAB10C9, white), MEP-specific cytokeratin 14 (K14, red), and luminal epithelial-specific cytokeratin 19 (K19, green); nuclear counterstain (DAPI, blue).(E-H) Cryosections of normal human breast epithelium stained with monoclonal antibodies against: (E) AXL (ab21965, green), (F) K19 (magenta), (G) K14 (red). Overlay (H) reveals the areas of co-localized expression of AXL, K19, and K14 (white) in the lobular acini.(I) Chromogenic IHC of AXL (ab21965, HRP-DAB brown) on FFPE sections of human mammary tissue. Counterstain by hematoxylin (blue).(J–M) RNA in situ hybridization (RNA-ISH) on FFPE breast tissue specimens reveal the localization and distribution of (J) AXL mRNA transcripts, and (K) mRNA transcripts of the AXL-ligand GAS6. Each dot (brown, HRP-DAB) represents a single RNA molecule. (L and M) Histo-score analysis was performed to quantify the heterogeneity of the AXL and GAS6 mRNA transcripts within the breast epithelium at the single cell level. The Histo-score of transcript expression was determined by categorizing epithelial cells in five predefined bins based on the number of transcripts per cell. Distribution (% of cells/bin) as well as Histo-scores provided on a range of 0-400 is given.(N) Dual RNA ISH on paraffin-embedded section of normal human breast specimen reveal the spatial distribution and juxtaposition of AXL (AP-based Fast Red) and GAS6 (HRP-based Green) mRNA transcripts within the normal human mammary epithelium. Counterstain by hematoxylin (blue).The ducts shown in (A–D), (I), and (M–K), and (N), and the lobular acini shown in (E–H) are obtained from tumor biopsies from different patients.
Phenotypic Characterization of AXL-Expressing Cells in Human Breast Epithelium
To further characterize the population of AXL+ cells in mammary epithelia, we analyzed primary uncultured human mammary epithelial cells (HMECs) from reduction mammoplasty specimens by flow cytometry using AXL antibody in addition to a panel of LEP, MEP, and stem/progenitor cell markers: CD227, CD10, EPCAM, CD49f. AXL-expressing HMEC represented 1–6% of the total HMEC population from different individuals (n = 5), which partitioned into an EPCAM+/CD49f+ subpopulation that is discrete from differentiated LEP (CD227+/CD10-) and MEP (CD227-/CD10+) populations (Figures 2A–2D). The EPCAM/CD49f/CD227/CD10/AXL FACS-analyzed HMECs were evaluated by spanning-tree progression analysis of density-normalized events (SPADE) to generate a putative hierarchical tree. The SPADE technique organizes groups of similar cells next to each other based on expression similarity, creating tree-like structures. AXL expression was highest in the node located at the apex of separate LEP (CD227 biased) and MEP (CD49f biased) radiations (Figure 2E). Next, we evaluated the expression of AXL, KIT, K14, and K19, among 25 other proteins, in a 29-marker mass cytometry (CyTOF) data set derived from dissociated primary breast epithelia of 57 women (Pelissier Vatter et al., 2018). Non-linear dimensionality reduction by t-distributed stochastic neighbor embedding projection and unsupervised clustering of intra-lineage subpopulations identified distinct LEP, MEP, and progenitor cells (Figure 2F). This high-dimensional analysis showed that AXL was primarily associated with KIT/K14/K19 expressing progenitor cells (Figures 2G and 2H). Notably, K14 was expressed relatively more than K19, which is anecdotally consistent with our immunofluorescence observations that K19 exhibits consistently lower, yet detectable, expression. Previously EpCAM+/CD49f + epithelia that express K14 and K19, and shared properties of LEP and MEP, were shown to be enriched for multipotent activity in human mammary epithelia (Villadsen et al., 2007). Epithelial cells expressing KIT were shown to be enriched for multipotent epithelial cell activity (Garbe et al., 2012; Lim et al., 2009; Pelissier et al., 2014). The finding that AXL also is expressed in epithelial cells bearing this same constellation of markers suggests that AXL may be a marker and regulator of multipotent cells in the human mammary epithelium.
Figure 2
Phenotypic Characterization of AXL-Expressing Cells in Human Breast Epithelium
Analysis of AXL expression by flow cytometry of primary human breast epithelial cells (HMECs) isolated from patient reduction mammoplasty tissue samples.
(A) Total surface AXL staining of human breast epithelial cells isolated from epithelial-enriched preparations of reduction mammoplasty samples (range: 1–6%, n = 5 different patient biopsies; 500,000 events collected for each flow cytometry experiment displayed).
(B–E) (B) EPCAM/CD49f staining pattern of AXL-expressing cells (blue; gate shown in (E) within total human breast epithelial cell population (red topography map) (C) CD227/CD10 staining pattern and gating of LEP (green box) and MEP (red box) populations in epithelial-enriched preparations from reduction mammoplasty samples. (D) EPCAM/CD49f staining pattern and resolution of epithelial hierarchy cell types in enriched human breast epithelial and residual stromal cells isolated from reduction mammoplasty samples show enrichment of AXL-expressing cells in the stem/progenitor subpopulation (E) Analysis of HMEC EPCAM/CD49f/CD227/CD10/AXL flow cytometry data (from Figures 1C and 1D; 500,000 events; two different patients) using spanning-tree progression analysis of density-normalized events (SPADE), a computational approach to determine cell hierarchies from multiparametric data (Qiu et al., 2011). The SPADE-generated HMEC hierarchical tree comprises a continuum of distinct cell subpopulations depicted as circles with radii corresponding to cell number. The predicted HMEC hierarchy shows common origin at the apex with two radiations, MEP biased and LEP biased populations, respectively. Relative expression of a surface marker on cells within the hierarchy is shown on a blue (low expression) to red (high expression) scale. LEP-biased cells that express CD227, MEP-biased cells that express CD49f, and AXL-expressing cells are shown superimposed onto the HMEC hierarchy. Differentiated LEP and MEP cell populations occupy the left and right lineage radiations respectively, while AXL is expressed primarily in the putative bipotent epithelial stem/progenitor subpopulations found at the apex of the hierarchical tree.
(F) High-dimensional mass cytometry-based analysis of primary human mammary epithelia reveals a progenitor population expressing AXL, KIT K14 and K19. Non-linear dimensionality reduction, t-distributed stochastic neighbor embedding (tSNE) (Amir El et al., 2013) created a projection of 29 marker expression in 2D. Each point depicts a single cell of dissociated uncultured breast epithelia from women <30 years old (merged and subsampled at 50,000 cells, n = 7) (Pelissier Vatter et al., 2018). The raw data have been transformed with arcsinh with the cofactor of 5. Intra-lineage subpopulations were identified as distinct clusters of cells with shared phenotypes using PhenoGraph software (Levine et al., 2015). Unsupervised clustering identified four distinct phenotypes of LEP (LEP1–4), seven types of MEP (MEP1–7), a progenitor subpopulation and a low-expressing cell phenotype. The LEP and MEP clusters were merged and the tSNE projection of the PhenoGraph clusters is represented.
(G) Heatmaps of Z score of KIT, AXL, K14 and K19 expression in PhenoGraph clusters of uncultured breast epithelia from women <30 years old (merged, n = 7).
(H) tSNE projection (generated as described in detail for (F)), showing the relative expression of AXL, KIT, K19, and K14, respectively. The relative expression of these markers is shown on a violet-blue (low expression) to red (high expression) rainbow scale representing ion-counts from 0-27,500/cell.
Phenotypic Characterization of AXL-Expressing Cells in Human Breast EpitheliumAnalysis of AXL expression by flow cytometry of primary human breast epithelial cells (HMECs) isolated from patient reduction mammoplasty tissue samples.(A) Total surface AXL staining of human breast epithelial cells isolated from epithelial-enriched preparations of reduction mammoplasty samples (range: 1–6%, n = 5 different patient biopsies; 500,000 events collected for each flow cytometry experiment displayed).(B–E) (B) EPCAM/CD49f staining pattern of AXL-expressing cells (blue; gate shown in (E) within total human breast epithelial cell population (red topography map) (C) CD227/CD10 staining pattern and gating of LEP (green box) and MEP (red box) populations in epithelial-enriched preparations from reduction mammoplasty samples. (D) EPCAM/CD49f staining pattern and resolution of epithelial hierarchy cell types in enriched human breast epithelial and residual stromal cells isolated from reduction mammoplasty samples show enrichment of AXL-expressing cells in the stem/progenitor subpopulation (E) Analysis of HMEC EPCAM/CD49f/CD227/CD10/AXL flow cytometry data (from Figures 1C and 1D; 500,000 events; two different patients) using spanning-tree progression analysis of density-normalized events (SPADE), a computational approach to determine cell hierarchies from multiparametric data (Qiu et al., 2011). The SPADE-generated HMEC hierarchical tree comprises a continuum of distinct cell subpopulations depicted as circles with radii corresponding to cell number. The predicted HMEC hierarchy shows common origin at the apex with two radiations, MEP biased and LEP biased populations, respectively. Relative expression of a surface marker on cells within the hierarchy is shown on a blue (low expression) to red (high expression) scale. LEP-biased cells that express CD227, MEP-biased cells that express CD49f, and AXL-expressing cells are shown superimposed onto the HMEC hierarchy. Differentiated LEP and MEP cell populations occupy the left and right lineage radiations respectively, while AXL is expressed primarily in the putative bipotent epithelial stem/progenitor subpopulations found at the apex of the hierarchical tree.(F) High-dimensional mass cytometry-based analysis of primary human mammary epithelia reveals a progenitor population expressing AXL, KIT K14 and K19. Non-linear dimensionality reduction, t-distributed stochastic neighbor embedding (tSNE) (Amir El et al., 2013) created a projection of 29 marker expression in 2D. Each point depicts a single cell of dissociated uncultured breast epithelia from women <30 years old (merged and subsampled at 50,000 cells, n = 7) (Pelissier Vatter et al., 2018). The raw data have been transformed with arcsinh with the cofactor of 5. Intra-lineage subpopulations were identified as distinct clusters of cells with shared phenotypes using PhenoGraph software (Levine et al., 2015). Unsupervised clustering identified four distinct phenotypes of LEP (LEP1–4), seven types of MEP (MEP1–7), a progenitor subpopulation and a low-expressing cell phenotype. The LEP and MEP clusters were merged and the tSNE projection of the PhenoGraph clusters is represented.(G) Heatmaps of Z score of KIT, AXL, K14 and K19 expression in PhenoGraph clusters of uncultured breast epithelia from women <30 years old (merged, n = 7).(H) tSNE projection (generated as described in detail for (F)), showing the relative expression of AXL, KIT, K19, and K14, respectively. The relative expression of these markers is shown on a violet-blue (low expression) to red (high expression) rainbow scale representing ion-counts from 0-27,500/cell.
KIT+/AXL + Primary HMECs Display a Unique Transcriptional Profile
We next examined the distribution of AXL expression relative to KIT in situ. Immunofluorescence staining of normal breast tissue revealed that KIT+AXL+ breast epithelial cells were predominantly positioned basally relative to KIT+AXL− staining cells that were positioned adjacent to the lumen (Figure 3A). Primary HMEC were enriched by FACS based on expression of KIT, and AXL was found to be expressed by 16% of the KIT+ epithelial population, thus representing about 1% of the total primary mammary epithelial cell population (Figure 3B). To further delineate the difference between these epithelial populations, we sorted KIT+AXL+ and KIT+AXL− cells, and CD227+CD10- LEP and CD227−CD10+ MEP subpopulations from primary HMEC at fourth passage (from two different women) and performed whole-genome expression analysis. Unsupervised hierarchical clustering identified distinct KIT+AXL+, KIT+AXL−, LEP, and MEP populations (Figure 3C). Principal component analysis of gene expression data revealed strong separation of KIT+AXL+, LEP and MEP populations, whereas the KIT+AXL− HMEC showed greater similarity to differentiated LEPs (Figure 3D). These results are consistent with the hypothesis that KIT+AXL+ cells represent a distinct breast epithelial progenitor population compared to the KIT+AXL− population.
Figure 3
AXL Is Required for Self-Renewal and Generation of Differentiated Acini from Human Breast Epithelial Cells Ex vivo
(A) AXL is co-expressed with KIT on breast epithelial cells. Immunofluorescence of normal breast epithelial ducts in normal human breast biopsy FFPE sections (n = 6) show AXL (red), KIT (green), and AXL+/KIT + double-positive cells (yellow). Nuclear counterstain by DAPI (blue). Scalebar: 30 μm.
(B) AXL expression defines a subpopulation of KIT-expressing breast epithelial progenitors. Flow cytometry-based quantification of KIT and AXL surface expression levels in human breast epithelial cells isolated from reduction mammoplasty samples (>100,000 sorted events; n = 3 patient samples). Quadrant gates and percentages of total events/gate are shown.
(C) AXL defines a distinct breast epithelial KIT-expressing progenitor subpopulation. Unsupervised hierarchical clustering based on whole-genome gene expression analysis (Illumina Bead Array) of FACS-isolated KIT+/AXL+, KIT+/AXL−, CD227+ luminal (LEP) and CD10 + myoepithelial (MEP) subpopulations of HMEC cells (independent FACS analysis of HMEC strains 240L and 122L at passage 4). Weighted average linkage (WPGMA); Distance metric: Pearson's Correlation.
(D) KIT+ progenitors lacking AXL show gene expression evidence of luminal commitment. Principal component correspondence plot derived from whole-genome gene expression analysis of KIT+/AXL+, KIT+/AXL−, CD227+ luminal (LEP), and CD10+ myoepithelial (MEP) FACS-isolated cells. X axis component variance: 22.387%; Y axis component variance: 17.091%; Total variance retained: 39.478%.
(E) Serial passage analysis of the percentage of CD227+/CD10- luminal cells (LEP) in the HMEC strains 240L and 122L seeded at passage 4 in the presence of DMSO (control), KIT tyrosine kinase inhibitor (TKI) (imatinib, 1 μM) or AXL TKI (bemcentinib, 600 nM). %LEP was normalized to passage 0. Observed half-life values + - SD for each treatment condition (insert) were calculated using the formula: t ∗ ln(2)/ln(N0/Nt) (p < 0.05).
(F) AXL activity is required for breast progenitor cell self-renewal as analyzed by secondary mammosphere formation generated by flow cytometry-enriched KIT + human mammary epithelial cell progenitors treated with DMSO (control), KIT TKI (imatinib, 1 μM), or AXL TKI (bemcentinib, 600 nM). Y axis represents total number of secondary mammospheres formed per well (mean ± S.E.M., n = 72; ∗∗p = 0.0075, t test).
(G) AXL is required for efficient formation of bilayered epithelial organoids in laminin-rich ECM assays. Image analysis of phase contrast images of mammary acini-like colonies formed from flow cytometry-enriched KIT + human mammary epithelial cell progenitor cells in 3D embedded laminin-rich ECM (lrECM) (matrigel), treated with DMSO (control), KIT TKI (imatinib, 1 μM), and AXL TKI (bemcentinib, 600 nM), respectively. Number of acini formed per 50.000 sorted KIT+ progenitor cells (mean ± S.E.M., n = 72; p values derived from t test) is shown by size distribution (Acini area: mm2).
(H) Size distribution of organoids formed under the conditions described i (G) (Area: mm2). Brightfield images and immunofluorescence analysis of representative organoids (inserts) display cytokeratin 14 (K14, red); cytokeratin 19 (K19, green); and nuclear counterstain: DAPI (blue). Scalebar 50 uM.
AXL Is Required for Self-Renewal and Generation of Differentiated Acini from Human Breast Epithelial Cells Ex vivo(A) AXL is co-expressed with KIT on breast epithelial cells. Immunofluorescence of normal breast epithelial ducts in normal human breast biopsy FFPE sections (n = 6) show AXL (red), KIT (green), and AXL+/KIT + double-positive cells (yellow). Nuclear counterstain by DAPI (blue). Scalebar: 30 μm.(B) AXL expression defines a subpopulation of KIT-expressing breast epithelial progenitors. Flow cytometry-based quantification of KIT and AXL surface expression levels in human breast epithelial cells isolated from reduction mammoplasty samples (>100,000 sorted events; n = 3 patient samples). Quadrant gates and percentages of total events/gate are shown.(C) AXL defines a distinct breast epithelial KIT-expressing progenitor subpopulation. Unsupervised hierarchical clustering based on whole-genome gene expression analysis (Illumina Bead Array) of FACS-isolated KIT+/AXL+, KIT+/AXL−, CD227+ luminal (LEP) and CD10 + myoepithelial (MEP) subpopulations of HMEC cells (independent FACS analysis of HMEC strains 240L and 122L at passage 4). Weighted average linkage (WPGMA); Distance metric: Pearson's Correlation.(D) KIT+ progenitors lacking AXL show gene expression evidence of luminal commitment. Principal component correspondence plot derived from whole-genome gene expression analysis of KIT+/AXL+, KIT+/AXL−, CD227+ luminal (LEP), and CD10+ myoepithelial (MEP) FACS-isolated cells. X axis component variance: 22.387%; Y axis component variance: 17.091%; Total variance retained: 39.478%.(E) Serial passage analysis of the percentage of CD227+/CD10- luminal cells (LEP) in the HMEC strains 240L and 122L seeded at passage 4 in the presence of DMSO (control), KIT tyrosine kinase inhibitor (TKI) (imatinib, 1 μM) or AXL TKI (bemcentinib, 600 nM). %LEP was normalized to passage 0. Observed half-life values + - SD for each treatment condition (insert) were calculated using the formula: t ∗ ln(2)/ln(N0/Nt) (p < 0.05).(F) AXL activity is required for breast progenitor cell self-renewal as analyzed by secondary mammosphere formation generated by flow cytometry-enriched KIT + human mammary epithelial cell progenitors treated with DMSO (control), KIT TKI (imatinib, 1 μM), or AXL TKI (bemcentinib, 600 nM). Y axis represents total number of secondary mammospheres formed per well (mean ± S.E.M., n = 72; ∗∗p = 0.0075, t test).(G) AXL is required for efficient formation of bilayered epithelial organoids in laminin-rich ECM assays. Image analysis of phase contrast images of mammary acini-like colonies formed from flow cytometry-enriched KIT + human mammary epithelial cell progenitor cells in 3D embedded laminin-rich ECM (lrECM) (matrigel), treated with DMSO (control), KIT TKI (imatinib, 1 μM), and AXL TKI (bemcentinib, 600 nM), respectively. Number of acini formed per 50.000 sorted KIT+ progenitor cells (mean ± S.E.M., n = 72; p values derived from t test) is shown by size distribution (Acini area: mm2).(H) Size distribution of organoids formed under the conditions described i (G) (Area: mm2). Brightfield images and immunofluorescence analysis of representative organoids (inserts) display cytokeratin 14 (K14, red); cytokeratin 19 (K19, green); and nuclear counterstain: DAPI (blue). Scalebar 50 uM.
AXL Kinase Activity Is Required for Self-Renewal and Acini Formation in Primary HMECs Ex Vivo Assays
To address the function of AXL signaling during differentiation, we cultured HMEC in the presence of an AXL-specific small molecule tyrosine kinase inhibitor (TKI) and monitored changes in the percentage of LEPs during subsequent passages. Standard in vitro culture of HMEC does not maintain the LEP population effectively, with an observed half-life of 3.8 ± 0.2 days due to the favored expansion of cells with basal properties, such as MEP (Figure 3E) (Garbe et al., 2012). Addition of a selective AXL TKI (bemcentinib, 600 nM) (Holland et al., 2010) counteracted LEP loss in culture (observed LEP half-life of 11.9 ± 5.9 days; p = 0.43), consistent with a pro-luminal differentiation effect, whereas a KIT TKI (imatinib, 1 μM) did not significantly alter LEP half-life (5.8 ± 0.5 days) (Figure 3E). Next, we assessed the requirement of AXL signal transduction for in vitro secondary mammosphere formation by HMEC enriched for KIT expression through two passages. Secondary mammosphere formation assays are frequently used a measure of self-maintenance activity. Secondary mammosphere formation was not affected by treatment with imatinib, but was reduced more than 4-fold by treatment with the AXL-inhibitor bemcentinib (Figure 3F). Formation of multi-lineage acini in 3D laminin-rich ECM (lrECM) was also significantly inhibited by treatment with bemcentinib, and only a few single K19-staining cells were observed in culture post-treatment (Figures 3G and 3H). Functional ex vivo assays showed that AXL kinase activity is required for self-renewal and maintenance of multi-lineage differentiation potential of AXL+KIT+ HMECs. Taken together, in situ, multiparameter cytometry, gene expression, and functional cell-based ex vivo analyses of primary human mammary epithelia align and suggest that AXL+/KIT+ cells exhibit multipotent activity. AXL−/KIT+ cells reside in the luminal compartment and exhibit activity consistent with luminal-biased progenitors. Our data do not establish a direct hierarchy between the two cell types.
AXL Is Required for Regeneration of Mouse Mammary Glands upon Transplantation
To explore the role of AXL in mouse mammary epithelia, we examined the mammary glands from a mouse strain that carries a targeted LacZ gene knock-in mutation that disrupts AXL protein expression (B6.129P2-Axltm1Dgen/J; Figures S2A and S2B). Analysis of the mammary glands of nulliparous adult expressing Axl (wild type) mice and the functional knockout Axl mice showed no statistically significant difference in estrogen receptor alpha (ESR1), progesterone receptor, or proliferation marker Ki67 (Figures 4A, S3B, and S3D). These results indicated that differentiated lineages present in the luminal compartment of Axl glands were similar to wild type (Figures S3B and S3D). Morphometric analysis of H&E stained FFPE tissue sections revealed a significant increase in the average caliber (cross-sectional area) of ducts from Axl mice (n = 9) compared to ducts from wild type mice (n = 7, p < 0.0001) (Figure 4C). Image analysis of ductal diameters in carmine alum stained mammary gland whole mounts from 16-week-old Axl (n = 9) and Axl wild type mice (n = 8) confirmed differences in the overall size distributions (Figures 4B and S3A). β-galactosidase histochemistry revealed basal localization of LacZ-expressing cells in adult ducts (Figure 4D), sites where mouse mammary multipotent epithelial stem cells are thought to reside (Joshi et al., 2012). Mammary ducts from Axl glands stained by immunofluorescence for detection of transgene product Beta-galactosidase in combination with MEP-marker K5 and LEP marker K8 confirmed the basal localization of the cells harboring the LacZ transgene (Figure 4E).
Figure 4
AXL Is Required for Regeneration of Mouse Mammary Glands upon Transplantation
(A) Immunostaining of FFPE sections of mammary glands from adult heterozygous Axl mice and homozygous functional AXL knockout Axl of the B6.129P2-Axltm1Dgen/J mice revealed no significant difference in estrogen alpha receptor (ESR1) expression. Quantification is shown in Figure S3A. Scalebar: 100 μm.
(B) Carmine alum stained whole mounts of mammary glands from adult Axl and Axl mice. Quantification of ductal diameter based on whole mounts are shown in Figure S3A. Scalebar: 250 μm.
(C) Morphometric histological analysis of HE stained mammary epithelial ducts from 16-week-old AXL (n = 7) and Axl (n = 9) mice. Quantification of the epithelial ducts were evaluated from HE stained FFPE sections. Both inguinal glands were harvested and included in the analysis, and area of epithelial structures from 10 separate fields/gland were included in the analysis (Mann-Whitney p < 0.0001).
(D) AXL promoter drives β-galactosidase expression in the two AxlLacZ alleles of homozygous Axl mice. Whole mount beta-galactosidase histochemistry reveal the transgene expression from Axl promoter activity of mammary epithelial ducts. Glands were FFPE embedded post-staining and sections counterstained by eosin. Scalebar: 50 μm.
(E) Immunofluorescent staining of β–galactosidase (white), K8 (red), and K5 (green) reveal the localization of transgene expressing cells relative to the luminal (K8+) and basal (K5+) population in mammary epithelial ducts of homozygous Axl mice. Image without DAPI (blue) nuclear stain is displayed the right to allow better visual inspection of the transgene expression (white) relative to K8 (red) and K5 (green). Scalebar: 30 μm.
(F and G) (F) FACS sorted cells expressing high (5% upper gate) and low (65% lower gate) cells were used for subsequent in vitro assays and limiting dilution transplantation assays (G) Representative whole mount image of cleared mammary fat pad repopulated by 100 FDGhigh cells from heterozygous Axl mammary gland (left panel). Repopulating mammary epithelial outgrowths were found in 8/8 animals in this group (filled black circles). Representative whole mount image of mammary gland of animal reconstituted with 100 FDG+ cells from homozygous Axl mammary glands (right panel). Repopulating mammary epithelial outgrowths were observed in 1/8 animals in this group (filled black, and empty circles, respectively). Data from one of three representative experiments are shown. Scalebar: 0.5 mm.
(H) Quantification of solid (black shaded bars) and acinar (gray shaded bars) in vitro colonies per 1000 seeded cells. Solid organoids were significantly reduced in the cultures derived from Axl animals (t test: p = 0.0023).
(I) Limiting dilution in vivo mammary transplantation assay of FDGhigh and FDGlow cell populations. The number of mammary outgrowths per transplantation group were quantified 8 weeks post-implantation, and the stem cell frequency and confidence intervals were calculated by limiting dilution analysis using Extreme Limiting Dilution Analysis (ELDA) software (http://bioinf.wehi.edu.au/software/elda/) (Hu and Smyth, 2009).
(J) Images of of mammary epithelial cells in 3D embedded organoids derived from Axl cells (upper row) and Axl cells in 3D laminin-rich ECM (lrECM) culture (lower row) reveal the undifferentiated solid organoids derived from Axl and the differentiated acini formed by Axl cells. As indicated, images represent (from left to right) brightfield images of live organoid cultures; HE stained organoids in formalin-fixed paraffin embedded (FFPE) sections, and immunofluorescence (IF) of FFPE sections with the markers K5 (green), K8 (red) and K5/K8 co-staining (yellow). The pictures to the right in the panel show beta-gal (green), K8 (red). Counterstain by DAPI (blue). Scalebars: 50 μm.
AXL Is Required for Regeneration of Mouse Mammary Glands upon Transplantation(A) Immunostaining of FFPE sections of mammary glands from adult heterozygous Axl mice and homozygous functional AXL knockout Axl of the B6.129P2-Axltm1Dgen/J mice revealed no significant difference in estrogen alpha receptor (ESR1) expression. Quantification is shown in Figure S3A. Scalebar: 100 μm.(B) Carmine alum stained whole mounts of mammary glands from adult Axl and Axl mice. Quantification of ductal diameter based on whole mounts are shown in Figure S3A. Scalebar: 250 μm.(C) Morphometric histological analysis of HE stained mammary epithelial ducts from 16-week-old AXL (n = 7) and Axl (n = 9) mice. Quantification of the epithelial ducts were evaluated from HE stained FFPE sections. Both inguinal glands were harvested and included in the analysis, and area of epithelial structures from 10 separate fields/gland were included in the analysis (Mann-Whitney p < 0.0001).(D) AXL promoter drives β-galactosidase expression in the two AxlLacZ alleles of homozygous Axl mice. Whole mount beta-galactosidase histochemistry reveal the transgene expression from Axl promoter activity of mammary epithelial ducts. Glands were FFPE embedded post-staining and sections counterstained by eosin. Scalebar: 50 μm.(E) Immunofluorescent staining of β–galactosidase (white), K8 (red), and K5 (green) reveal the localization of transgene expressing cells relative to the luminal (K8+) and basal (K5+) population in mammary epithelial ducts of homozygous Axl mice. Image without DAPI (blue) nuclear stain is displayed the right to allow better visual inspection of the transgene expression (white) relative to K8 (red) and K5 (green). Scalebar: 30 μm.(F and G) (F) FACS sorted cells expressing high (5% upper gate) and low (65% lower gate) cells were used for subsequent in vitro assays and limiting dilution transplantation assays (G) Representative whole mount image of cleared mammary fat pad repopulated by 100 FDGhigh cells from heterozygous Axl mammary gland (left panel). Repopulating mammary epithelial outgrowths were found in 8/8 animals in this group (filled black circles). Representative whole mount image of mammary gland of animal reconstituted with 100 FDG+ cells from homozygous Axl mammary glands (right panel). Repopulating mammary epithelial outgrowths were observed in 1/8 animals in this group (filled black, and empty circles, respectively). Data from one of three representative experiments are shown. Scalebar: 0.5 mm.(H) Quantification of solid (black shaded bars) and acinar (gray shaded bars) in vitro colonies per 1000 seeded cells. Solid organoids were significantly reduced in the cultures derived from Axl animals (t test: p = 0.0023).(I) Limiting dilution in vivo mammary transplantation assay of FDGhigh and FDGlow cell populations. The number of mammary outgrowths per transplantation group were quantified 8 weeks post-implantation, and the stem cell frequency and confidence intervals were calculated by limiting dilution analysis using Extreme Limiting Dilution Analysis (ELDA) software (http://bioinf.wehi.edu.au/software/elda/) (Hu and Smyth, 2009).(J) Images of of mammary epithelial cells in 3D embedded organoids derived from Axl cells (upper row) and Axl cells in 3D laminin-rich ECM (lrECM) culture (lower row) reveal the undifferentiated solid organoids derived from Axl and the differentiated acini formed by Axl cells. As indicated, images represent (from left to right) brightfield images of live organoid cultures; HE stained organoids in formalin-fixed paraffin embedded (FFPE) sections, and immunofluorescence (IF) of FFPE sections with the markers K5 (green), K8 (red) and K5/K8 co-staining (yellow). The pictures to the right in the panel show beta-gal (green), K8 (red). Counterstain by DAPI (blue). Scalebars: 50 μm.The observed phenotype of Axl
mammary glands is consistent with the viability of Axl-knockout animals; however, we speculated that forced postnatal regeneration of the mammary epithelia would exert sufficient stress to overcome compensatory mechanisms and reveal a more penetrant Axl-null phenotype. Thus, we evaluated the effect of AXL on mammary gland reconstitution upon transplantation of sorted cells in serial dilution. Lineage-negative (i.e. CD45-, CD31-, CD11b−) AXL-expressing cells were enriched from dissociated Axl and Axl adult mammary glands by FACS using the fluorogenic β-galactosidase substrate fluorescein Di-β-D-galactopyranoside (FDG). An FDGhigh gate (highest 5%) was used to enrich for AXL-expressing cells, while AXL-negative cells were sorted using an FDGlow gate (lowest 65%) (Figure 4F). Serial dilutions of cells sorted on the basis of FDG (from 10,000 to 100 cells) were implanted into cleared fat pads of recipient prepubescent nude mice. Eight weeks post-transplantation, the mammary glands were harvested, fixated, and whole mount stained with carmine alum to visualize epithelial outgrowths. Mammary repopulating units (MRUs) frequencies were estimated by extreme limiting dilution analysis. FDGhigh
Axl cells readily repopulated the cleared fat pads with extensive mammary epithelial trees, whereas FDGlow
Axl cells displayed a significantly reduced MRU frequency, as did the Axl cells (Figures 4G and 4I). Hence, sorting for AXL expression enriched for adult murine mammary cells with repopulating activity in ex vivo organ reconstitution assay.A number of previous reports show that luminal-biased progenitor cells cultured in 3D lrECM form hollow acini, whereas isolated MRU-competent MaSC form dense, pleomorphic structures (Lim et al., 2009; Shackleton et al., 2006; Stingl et al., 2006; Guo et al., 2012). FACS-isolated FDGhigh mammary epithelial cells from Axl mice formed solid basal/stem-like colonies in lrECM characteristic of regenerative MaSC (Figures 4H and 4J upper row), whereas the FACS-isolated FDGhigh mammary epithelial cells from Axl mice formed significantly less colonies, and the colonies were predominantly well differentiated bilayered acini with basal K5 expressing and luminal K8 expressing compartments of cells (Figures 4H and 4J lower row).
Transcriptome of Sorted AXL + Mammary Cells Are Enriched in Genes Characteristic of Sorted MaSC Populations
Transcriptomes from FACS sorted FDGhigh and FDGlow cells isolated from Axl adult mammary glands were then compared to previously published gene expression signatures from sorted mammary epithelial populations (Lim et al., 2009). Consistent with the functional analyses described above, the sorted FDGhigh cell population isolated from Axl mammary glands displayed significant transcriptional similarity with MaSC populations enriched using previously described markers (CD49fhi CD29hi CD24+ Sca1-subset) (Figures 5A and 5B). Indeed, CD61/CD49f flow cytometry analysis of dissociated mammary glands showed an increase in the luminal progenitor and LEP populations, and a slight reduction of the basal/stem population in cells from Axl mice compared to Axl mice (Figure 5C). Whole mount adult mammary gland epithelia from Axl mammary glands displayed a significant reduction in the number of alveolar buds at ductal termini compared to Axl mammary glands (Figure 5D).
Figure 5
Gene Signatures Associated with Mammary Stem Cells (MaSC Population) Are Enriched in Murine Mammary Gland AXL + Cells and Loss of AXL Promotes Differentiation
(A) The gene set enrichment analysis of FDGhigh versus FDGlow populations of Axl mammary cells revealed high similarity with published gene expression datasets from the MaSC-population enriched using standard markers (Lim et al., 2009). Enrichment plots for: MaSC = mammary stem cells; LuM = Luminal mature; LuP = Luminal progenitors, are shown. The top portion of the plot shows the running enrichment score for the gene set (green line) as the analysis moves along the ranked list of genes (x axis; red color indicates genes with higher expression and blue indicates low expression when the two gene-sets are compared). NES = normalized Enrichment Score. FDR = False discovery rate.
(B) The gene set enrichment analysis of FDGhigh versus FDGlow populations of Axl mammary cells. NES = Normalized Enrichment Score is given for the comparison with the previously described gene signatures of MaSC = mammary stem cells; LuM = Luminal mature; LuP = Luminal progenitors (D) The gene set enrichment analysis of FDGhigh versus FDGlow populations of Axl mammary cells.
(C) Expression of CD61 and CD49f in lineage-negative cells isolated from Axl (left) and Axl (right) mammary glands. Gating and percentage of total cells for different mammary cell populations is shown. Back gating of FDGhigh cells confirm that AXL expression more prominent in the CD49fhi/CD61+ MEP/MaSC population than in the CD49flow/CD61low LEP population.
(D) Quantification of alveolar buds at the termini of ducts of mammary glands were performed on whole mounts from Axl (wild type, n = 8) and Axl (AXL-null, n = 8) mice, 2 inguinal glands per animal (t test, p < 0.0001).
(E) Quantification of alveolar buds at the termini of ducts of mammary glands from mice treated for 5 months with warfarin (1 mg/L in drinking water). Quantification were performed on inguinal mammary gland whole mounts (n = 10 control glands, n = 10 warfarin treated glands), p=<0.0001, t test.
Gene Signatures Associated with Mammary Stem Cells (MaSC Population) Are Enriched in Murine Mammary Gland AXL + Cells and Loss of AXL Promotes Differentiation(A) The gene set enrichment analysis of FDGhigh versus FDGlow populations of Axl mammary cells revealed high similarity with published gene expression datasets from the MaSC-population enriched using standard markers (Lim et al., 2009). Enrichment plots for: MaSC = mammary stem cells; LuM = Luminal mature; LuP = Luminal progenitors, are shown. The top portion of the plot shows the running enrichment score for the gene set (green line) as the analysis moves along the ranked list of genes (x axis; red color indicates genes with higher expression and blue indicates low expression when the two gene-sets are compared). NES = normalized Enrichment Score. FDR = False discovery rate.(B) The gene set enrichment analysis of FDGhigh versus FDGlow populations of Axl mammary cells. NES = Normalized Enrichment Score is given for the comparison with the previously described gene signatures of MaSC = mammary stem cells; LuM = Luminal mature; LuP = Luminal progenitors (D) The gene set enrichment analysis of FDGhigh versus FDGlow populations of Axl mammary cells.(C) Expression of CD61 and CD49f in lineage-negative cells isolated from Axl (left) and Axl (right) mammary glands. Gating and percentage of total cells for different mammary cell populations is shown. Back gating of FDGhigh cells confirm that AXL expression more prominent in the CD49fhi/CD61+ MEP/MaSC population than in the CD49flow/CD61low LEP population.(D) Quantification of alveolar buds at the termini of ducts of mammary glands were performed on whole mounts from Axl (wild type, n = 8) and Axl (AXL-null, n = 8) mice, 2 inguinal glands per animal (t test, p < 0.0001).(E) Quantification of alveolar buds at the termini of ducts of mammary glands from mice treated for 5 months with warfarin (1 mg/L in drinking water). Quantification were performed on inguinal mammary gland whole mounts (n = 10 control glands, n = 10 warfarin treated glands), p=<0.0001, t test.We hypothesized that AXL regulation of MaSC luminal potency in adult mammary gland regeneration could be governed by juxtacrine interactions between GAS6-producing LEP and AXL-expressing MaSC. Warfarin has previously been shown to be a well-tolerated inhibitor of GAS6-AXL signaling (Kirane et al., 2015). Thus, to test this model, we treated adult mice (12 weeks old) for 5 months with warfarin administered ad libitum in the drinking water to inhibit post-translational glutamic acid gamma-carboxylation of GAS6. Gamma-carboxylation of GAS6 has been shown to be required for strong AXL activation, and warfarin, a gamma-carboxylation inhibitor, converts GAS6 into a selective AXL antagonist (Lew et al., 2014; Kirane et al., 2015). Analysis of whole mounted adult mammary glands after 5 months of warfarin treatment demonstrated a significant reduction in the number of terminal alveolar buds in the warfarin treated group (Figure 5E), which phenocopied the Axl animals (Figure 5D). A significant reduction in the number of terminal alveolar buds/gland was furthermore detected in pubescent warfarin treated mice (Figures S4A–S4C). Collectively, these results are consistent with a pro-differentiation phenotype of mammary glands of nulliparous adult Axl-null animals, as well as in AXL-antagonized wild type animals.
AXL MaSC Regulation Is Associated with Breast Cancer
We next examined whether gene signatures of normal AXL+ MaSC were an underlying feature of mammary tumors. Gene set enrichment analysis was used to detect the most differentially expressed genes between sorted FDGhigh
Axl and Axl mammary cells. A signature comprising 33 downregulated and 37 upregulated genes was identified (rank product test, Table S1). Genes in this set have not been previously associated with MaSC, and thus may represent an unprecedented facet of the regenerative adult MaSC cell state (Figure 6A and Table S1). Notably, the AXL MaSC gene signature (AXL-stem) is not significantly enriched for core EMT genes. The generic EMT score captures the universal features of EMT based on expression of 315 EMT-related genes, and computed EMT scores range from −1 (epithelial) to 1 (mesenchymal) (Tan et al., 2014). The FDG high sorted cell population of Axl+/LacZ mice has a mean generic EMT score of 0.24, while FDG high sorted cells of AxlLacZ/LacZ mice have a mean generic EMT score of 0.21. Thus, these comparable intermediate mesenchymal EMT scores support a heretofore unappreciated role for AXL signaling in epithelial plasticity more generally, rather than maintaining EMT per se.
Figure 6
AXL MaSC Regulation Is Associated with Breast Cancer
(A) Volcano plot of significance versus fold gene expression change between the FDGhigh populations from Axl and Axl adult mouse mammary epithelial cells. The most highly differentially expressed genes (cutoff: 1.5-fold change) are shaded.
(B) The Metabric breast cancer patient cohort (n = 1,980 patients) (Curtis et al., 2012) was interrogated with the AXL MaSC gene signature (AXL-stem, Table S1) to access the distribution correlated with the degree of basal-like gene expression in breast cancer (ρ = 0.181, p = 5.5 × 10-16).
(C) The Metabric breast cancer patient cohort (n = 1,980) (Curtis et al., 2012) was interrogated with the AXL MaSC gene expression signature (AXL-stem, Table S1) to assess the influence of the AXL stem gene expression signature on clinical endpoints. AXL-stem score was significantly elevated in the core basal subtype of integrative cluster 10 (IC10) subtyped tumors from the Metabric breast cancer patient cohort (n = 1,980) (Curtis et al., 2012) (p = 5.2 × 10-33, Kruskal-Wallis rank test).
(D) AXL-stem score was associated with breast cancer-specific outcome in a univariate model, stratified for hospital (p = 0.00496; hazard ratio: 1.026) and in a multivariate model correcting for grade and lymph node status (p = 0.00899; hazard ratio: 1.024, Cox proportional hazards regression, Breitling et al., 2004).
AXL MaSC Regulation Is Associated with Breast Cancer(A) Volcano plot of significance versus fold gene expression change between the FDGhigh populations from Axl and Axl adult mouse mammary epithelial cells. The most highly differentially expressed genes (cutoff: 1.5-fold change) are shaded.(B) The Metabric breast cancer patient cohort (n = 1,980 patients) (Curtis et al., 2012) was interrogated with the AXL MaSC gene signature (AXL-stem, Table S1) to access the distribution correlated with the degree of basal-like gene expression in breast cancer (ρ = 0.181, p = 5.5 × 10-16).(C) The Metabric breast cancer patient cohort (n = 1,980) (Curtis et al., 2012) was interrogated with the AXL MaSC gene expression signature (AXL-stem, Table S1) to assess the influence of the AXL stem gene expression signature on clinical endpoints. AXL-stem score was significantly elevated in the core basal subtype of integrative cluster 10 (IC10) subtyped tumors from the Metabric breast cancer patient cohort (n = 1,980) (Curtis et al., 2012) (p = 5.2 × 10-33, Kruskal-Wallis rank test).(D) AXL-stem score was associated with breast cancer-specific outcome in a univariate model, stratified for hospital (p = 0.00496; hazard ratio: 1.026) and in a multivariate model correcting for grade and lymph node status (p = 0.00899; hazard ratio: 1.024, Cox proportional hazards regression, Breitling et al., 2004).We and others have previously showed that AXL protein and mRNA expression is frequently detectable in basal-like breast cancer subtypes (Gjerdrum et al., 2010; Blick et al., 2010). The AXL-stem signature correlated with the degree of basal-like gene expression in the Metabric breast cancer patient cohort (Curtis et al., 2012) (Figure 6B) and was significantly elevated in basal-like breast tumor subtypes (PAM50 and IC10 subtypes; Figures 6C and S5). Furthermore, the AXL-stem score was significantly associated with breast cancer-specific patient survival in a univariate model and in a multivariate model correcting for grade and lymph node status (Figure 6D). Hence, the AXL-dependent gene expression signature from murine MaSC correlates with clinical outcome in human breast cancer.
AXL Signaling Is Required for Breast Cancer Cell Phenotypic Plasticity
Expression of the AXL-stem genes in breast cancer may reflect a co-option of MaSC-related regenerative activity that drives epithelial plasticity in breast cancer. SNAI2/Slug expression in immortalized human breast epithelial cell lines such as MCF10A engages an EMT-related stem cell program that results in expression of the AXL RTK (Gjerdrum et al., 2010; Vuoriluoto et al., 2011; Jokela et al., 2018). AXL knockdown were shown to reverse the SNAI2/Slug-dependent mesenchymal phenotype, restoring epithelial morphology and molecular marker expression, and blocking sphere-forming activity, without affecting SNAI2/Slug protein levels (Figures 7A–7D). Ectopic expression of AXL did not drive EMT in MCF10a (Figure S6). These results indicated that AXL signaling is required for SNAI2/Slug-dependent regulation of the EMT program. HMLER is a cell line generated by oncogenic transformation of HMECs that displays increased tumorgenicity upon overexpression of SNAI2/Slug (Mani et al., 2008). AXL knockdown significantly decreased tumor incidence independent of SNAI2/Slug overexpression in this model (Figure 7E). The 4T1 murine mammary tumor model enables tumor-forming experiments in isogenic, immune-competent mice. Tumorsphere formation with 4T1 cells was nearly abolished by treatment with warfarin (3uM) or with bemcentinib (900 nM) (Figure 7F). Pretreatment of 4TL with paclitaxel (3 nM) reduced tumor incidence following implantation, and pretreatment with paclitaxel and bemcentinib (600 nM) completely prevented tumor formation (Figure 7G). Furthermore, bemcentinib administered in vivo (both 50 and 100 mg/kg) decreased 4T1 tumor growth in syngeneic host mice (Figure 7H). These results support the notion that AXL is required to sustain epithelial plasticity traits that facilitate tumor formation in mammary glands.
Figure 7
AXL Is Required for Breast Cancer Cell Phenotypic Plasticity, and Genetic Ablation of AXL Significantly Reduces Mammary Tumor Incidence in the MMTV-Wnt1 Mice
(A) AXL expression is required for SNAI2/Slug-induced EMT. MCF10a cells transduced with control or SNAI2/Slug retroviral expression vectors (GFP), and AXL-targeting shRNA (shAXL) or luciferase targeting control shRNA vectors (shLuc) (RFP). Transduced cells were sorted based on GFP and RFP expression, and analyzed for AXL (140 kDa), SNAI2/Slug (30 kDa), and epithelial markers E-cadherin (135 kDa), β-catenin (92 kDa) and mesenchymal markers vimentin (55 kDa), and N-cadherin (100 kDa) by Western blotting. Loading control: β-actin (42 kDa).
(B) AXL-dependent loss of cell-surface glycoprotein CD44 shown by flow cytometric analysis of MCF10a/Slug/shAXL and MCF10a/Slug/shLuc cells.
(C) AXL expression is required for self-renewal activity. Quantification of mammosphere formation by MCF10a/Slug/shAXL and MCF10a/Slug/shLuc cells. Y axis represents total number of mammospheres formed per well (mean ± S.D., n = 5; ∗p < 0.05, t test).
(D) Phase contrast images of MCF10a/Slug/shAXL and MCF10a/Slug/shLuc cells grown as monolayer (2D, upper) and colony formation in 3D embedded laminin-rich ECM (lrECM) (matrigel, lower) reveal that Slug-mediated mesenchymal cell morphology and invasiveness are AXL-dependent.
(E) AXL is required for tumor initiation in vivo. Tumor incidence of HMLER/shLuc, HMLER/shAXL2 and HMLER/Slug/shAXL2 and HMLER/Slug/shLuc cells injected s.c. into recipient NOD-SCID mice at limiting dilutions (between 106-103 cells). HMLER/Slug/shAXL2 versus HMLER/Slug/shLuc, p = 0.0002, Fisher's exact test.
(F) Inhibition of AXL signaling using warfarin (3 uM) or AXL tyrosine kinase inhibitor (TKI) bemcentinib (900 nM) blocks 4T1 tumorsphere formation. Tumorsphere formation (day 7) was scored as Total Area (pixels2)/20,000 cells using ImageJ Analysis. Data plotted relative to vehicle (DMSO) treated cells (mean ± S.D., n = 6; ∗∗∗p = 0.0005, t test).
(G) Reduced tumor incidence of 4T1 cells pretreated in vitro with 3 nM paclitaxel in the presence of 600 nM bemcentinib prior to injection injected into syngeneic host mice at limiting dilution versus in vitro treatment with 3 nM paclitaxel alone (p = 0.0108, Fisher's exact test).
(H) Inhibition of AXL kinase activity reduces mammary tumor formation. Bioluminescence (total photon counts) from tumors formed from orthotopically-implanted 4T1-luciferase (4T1Luc) cells at Day 7 treated with bemcentinib (50 and 100 mg/kg QD) (mean ± S.D., n = 6; ∗p < 0.05, ∗∗p < 0.005, one-way ANOVA).
(I) Spontaneous mammary tumor incidence in genetically modified animals carrying MMTV-Wnt1 and the AXLLacZ knock-in allele. Comparison of tumor incidence between female AXL wild type MMTV-Wnt1:Axl and AXL wild type MMTV-Wnt1:Axl and AXL-null MMTV-Wnt1:Axl animals revealed that Wnt1-induced mammary tumor incidence (within 14 months) was significantly reduced in the AXL-null background (p = 0.0002, Fisher's exact test, two-tailed).
(J) Kaplan-Meier survival analysis of MMTV-Wnt1 animals (Log rank (Mantel-Cox) test, Chi square: 14.98, p = 0.0001).
(K) Relative mRNA expression levels of a selection of significantly deregulated genes associated with EMT, CSC and WNT pathways in tumor cells isolated from MMTV-Wnt1:Axl (n = 4) versus MMTV-Wnt1:Axl (n = 6) animals. The expression levels of the MMTV-Wnt1:Axl tumors were quantified relative to MMTV-Wnt1:Axl. Data are reported as mean fold changes ±SEM after normalization to the levels of housekeeping genes (ACTB, B2M, GAPDH, GUSB, HSP90AB1) in the panel. ∗p < 0.05, ∗∗p < 0.01 (Unpaired Student's t test).
AXL Is Required for Breast Cancer Cell Phenotypic Plasticity, and Genetic Ablation of AXL Significantly Reduces Mammary Tumor Incidence in the MMTV-Wnt1 Mice(A) AXL expression is required for SNAI2/Slug-induced EMT. MCF10a cells transduced with control or SNAI2/Slug retroviral expression vectors (GFP), and AXL-targeting shRNA (shAXL) or luciferase targeting control shRNA vectors (shLuc) (RFP). Transduced cells were sorted based on GFP and RFP expression, and analyzed for AXL (140 kDa), SNAI2/Slug (30 kDa), and epithelial markers E-cadherin (135 kDa), β-catenin (92 kDa) and mesenchymal markers vimentin (55 kDa), and N-cadherin (100 kDa) by Western blotting. Loading control: β-actin (42 kDa).(B) AXL-dependent loss of cell-surface glycoprotein CD44 shown by flow cytometric analysis of MCF10a/Slug/shAXL and MCF10a/Slug/shLuc cells.(C) AXL expression is required for self-renewal activity. Quantification of mammosphere formation by MCF10a/Slug/shAXL and MCF10a/Slug/shLuc cells. Y axis represents total number of mammospheres formed per well (mean ± S.D., n = 5; ∗p < 0.05, t test).(D) Phase contrast images of MCF10a/Slug/shAXL and MCF10a/Slug/shLuc cells grown as monolayer (2D, upper) and colony formation in 3D embedded laminin-rich ECM (lrECM) (matrigel, lower) reveal that Slug-mediated mesenchymal cell morphology and invasiveness are AXL-dependent.(E) AXL is required for tumor initiation in vivo. Tumor incidence of HMLER/shLuc, HMLER/shAXL2 and HMLER/Slug/shAXL2 and HMLER/Slug/shLuc cells injected s.c. into recipient NOD-SCID mice at limiting dilutions (between 106-103 cells). HMLER/Slug/shAXL2 versus HMLER/Slug/shLuc, p = 0.0002, Fisher's exact test.(F) Inhibition of AXL signaling using warfarin (3 uM) or AXL tyrosine kinase inhibitor (TKI) bemcentinib (900 nM) blocks 4T1 tumorsphere formation. Tumorsphere formation (day 7) was scored as Total Area (pixels2)/20,000 cells using ImageJ Analysis. Data plotted relative to vehicle (DMSO) treated cells (mean ± S.D., n = 6; ∗∗∗p = 0.0005, t test).(G) Reduced tumor incidence of 4T1 cells pretreated in vitro with 3 nM paclitaxel in the presence of 600 nM bemcentinib prior to injection injected into syngeneic host mice at limiting dilution versus in vitro treatment with 3 nM paclitaxel alone (p = 0.0108, Fisher's exact test).(H) Inhibition of AXL kinase activity reduces mammary tumor formation. Bioluminescence (total photon counts) from tumors formed from orthotopically-implanted 4T1-luciferase (4T1Luc) cells at Day 7 treated with bemcentinib (50 and 100 mg/kg QD) (mean ± S.D., n = 6; ∗p < 0.05, ∗∗p < 0.005, one-way ANOVA).(I) Spontaneous mammary tumor incidence in genetically modified animals carrying MMTV-Wnt1 and the AXLLacZ knock-in allele. Comparison of tumor incidence between female AXL wild type MMTV-Wnt1:Axl and AXL wild type MMTV-Wnt1:Axl and AXL-null MMTV-Wnt1:Axl animals revealed that Wnt1-induced mammary tumor incidence (within 14 months) was significantly reduced in the AXL-null background (p = 0.0002, Fisher's exact test, two-tailed).(J) Kaplan-Meier survival analysis of MMTV-Wnt1 animals (Log rank (Mantel-Cox) test, Chi square: 14.98, p = 0.0001).(K) Relative mRNA expression levels of a selection of significantly deregulated genes associated with EMT, CSC and WNT pathways in tumor cells isolated from MMTV-Wnt1:Axl (n = 4) versus MMTV-Wnt1:Axl (n = 6) animals. The expression levels of the MMTV-Wnt1:Axl tumors were quantified relative to MMTV-Wnt1:Axl. Data are reported as mean fold changes ±SEM after normalization to the levels of housekeeping genes (ACTB, B2M, GAPDH, GUSB, HSP90AB1) in the panel. ∗p < 0.05, ∗∗p < 0.01 (Unpaired Student's t test).
AXL Is Required for Efficient MMTV-Wnt1 Mammary Tumorigenesis
Mammary tumors arise in the MMTV-Wnt1 model within an expanded MaSC pool and aberrant multipotent progenitor cells (Lim et al., 2009; Vaillant et al., 2008). Finally, in order to investigate the role of AXL in Wnt1-induced malignant transformation, we crossed the AxlLacZ knock-in and MMTV-Wnt1 mouse strains. As expected, female MMTV-Wnt1:Axl and MMTV-Wnt1:Axl animals developed mammary tumors with high penetrance (Figure 7I). Strikingly, the incidence of mammary tumor development was reduced in the functional Axl-knockout MMTV-Wnt1:Axl animals (Figure 7I), reflected also by the significantly increased survival of these animals (Figure 7J). Thus, AXL expression supported efficient Wnt1-mediated tumorigenesis, and comparison of gene expression in mammary tumor cells isolated from MMTV-Wnt1 animals revealed significantly reduced expression of WNT, EMT, and cancer stem cell genes in rare tumors from the Axl
background (Figures 7K and S8).
Discussion
AXL is expressed in multiple cancer types and is associated with poor clinical outcome and resistance to a number of therapies, including immune checkpoint inhibitors (Davidsen et al., 2017; Hugo et al., 2016; Goyette et al., 2018). While the presence of AXL in pathological contexts is increasingly well documented, our understanding of the role of AXL in normal physiology is lacking, with the current study providing evidence of a conserved role for AXL in human and murine mammary gland outside of innate immune regulation.Supported by analysis of healthy human breast tissue, genetic mouse models, and patient tumor gene expression, our results are consistent with the interpretation that AXL is expressed by epithelial cells that are in a stem cell state. Our data suggest that AXL is so far a singular example of a putative MaSC marker that is conserved in human and mouse mammary epithelia. Data support the role of AXL as a regulator of a cellular plasticity program that endows a rare proportion of HMECs with the ability to transition between multipotent and differentiated states. Our multiparametric gene and marker expression data sets as well as functional ex vivo analyses are consistent with the interpretation that AXL is required for conditional expansion of a multipotent MaSC population in the adult mammary gland of both humans and rodents. In particular, AXL was found to regulate a unique gene set, AXL-stem, in regenerative MaSC that was inclusive of ARTN, is a GDNF-family/syndecan-3 ligand, a gene family associated with stem cell self-renewal (Merrell and Stanger, 2016), and linked to EMT and drug resistance traits in breast cancer (Kang et al., 2009; Ding et al., 2014). The AXL-stem signature identified in murine MaSC correlated with clinical outcome in the human Metabric breast cancer patient cohort. Significantly elevated in basal-like breast tumor subtypes (PAM50 and IC10 subtypes), the AXL-stem signature was correlated with poorer overall survival across all breast cancer subtypes. AXL may allow breast cancer cells the capacity to transition between distinct phenotypic states with different functional traits that support tumorigenesis (Visvader and Stingl, 2014). More work is necessary to determine if AXL signaling is a characteristic of long-lived multipotent MaSC or whether it is necessary for expansion and acquired multi-lineage differentiation potential during certain regenerative conditions (Rios et al., 2014; Van Keymeulen et al., 2011).AXL was shown to be required for the efficient formation of bilayered acini in lrECM assays from FACS enriched KIT + HMECs, and AXL inhibition prevented LEP loss in 2D HMEC culture and significantly decreased self-renewal capacity in secondary mammosphere assays. Although we cannot rule out the possibility that AXL+ MaSC are luminal-biased, both mammary transplantation in cleared murine fat pads and acinus formation assays with primary human cells showed a capacity for self-renewal and multi-lineage differentiation at least ex vivo. Multi-color immunofluorescence staining of mammary tissues showed that AXL + cells expressed also the intermediate filament proteins K14 and K19 that were located in a basal or suprabasal position, in ducts. FACS staining showed that AXL + cells were enriched among EpCAM+/CD49f+ cells. Our previous work showed that EpCAM+/CD49f+ HMECs that exhibited stem cell activity co-expressed K14 and K19 (Villadsen et al., 2007). EpCAMlow/CD10high epithelial cells also were enriched for stem cell activities and were reported to express K14 and K18, but not K19 (Bachelard-Cascales et al., 2010). Taken together, we interpreted these findings such that cells in MaSC states have shared properties of MEP and luminal cells. From the human high-dimensional expression data, it is evident that the KIT+AXL− HMEC are more luminal lineage-biased, and their localization adjacent to the lumen, and the similarity of gene expression to CD227+/CD10-/KIT− luminal cells supported this interpretation. However, more work and lineage tracing experiments are needed to determine definitively the lineage potential of the AXL + mammary epithelial population.A conundrum raised by our results is that Axl-null animals are able to develop functional mammary glands, yet upon ex vivo transplantation into cleared fat pads of recipient mice the sorted Axl-null epithelial cells showed a significant reduction in the ability to reconstitute the mammary tree. Relatedly, the GAS6-null mouse also develops functional mammary glands (Mills et al., 2018). Knockout of the TAM family member Mer did show a developmental phenotype during post-lactational involution as it was shown necessary for mediating epithelial efferocytosis of apoptotic cells, but AXL and Tyro3 were explicitly not required for that process (Sandahl et al., 2010). The importance of the mammary gland for mammals implies strong evolutionary pressure to favor gland development with much redundancy. Indeed, we are not aware of any reports of gene knockouts that reach adulthood and have no mammary gland. AXL is an imprinted gene, which rather suggests that fine-tuned temporal and spatial regulation of AXL expression during embryonic development is crucial. AXL + epithelial cells were enriched for their ability to form mammary glands in the cleared fat pad assay, which may be a better representation of regeneration or even wound repair. Historically, a number of gene knockout animals have shown no overt phenotype until stressors were applied, and this may be an example in which AXL was essential for allowing the mammary epithelial cells to survive in, or even to establish, the regenerative niche. Furthermore, as we have noted above, the role of AXL in cancer progression is being increasingly appreciated and the regenerative or wound healing microenvironment has also been used to characterize the tumor microenvironment. Even though cell transfer and tissue regeneration assays are considered a gold standard for stem cell biology, it is worth recognizing that the assays are prone to disrupting solid tissues in a way that might be orthogonal to development.A reasonable interpretation of our data is that AXL allows access to gene expression programs that repress the luminal phenotype. Hence, removal of signaling through the AXL pathway is sufficient to allow cells to access the luminal differentiation program. Indeed lineage-priming occurs in the expanded stem cell population during pregnancy prior to commitment along the alveolar lineage (Pal et al., 2013). Interfering with AXL expression in double-positive epithelial cells may push the progenitor profile into a different compartment, or the cells lose self-renewal abilities in favor of terminal differentiation due to a transition from a symmetric to an asymmetric mode of stem cell division. Although the mode of stem cell division was not directly addressed in this study, the increased mammary tumor incidence in the MMTV-Wnt model as well as the impact of AXL inhibition in ex vivo assays could support a model where AXL act as a mediator of symmetric self-renewing stem cell division, and the differentiation induced upon AXL inhibition is due to a switch to an asymmetric or symmetric differentiating stem cell division which is less advantageous for stem cell expansion and neoplastic transformation.The striking reduction of Wnt1-driven mammary tumors in the Axl-null background was associated with a reduced expression of WNT-signaling genes (e.g. Wnt5a, Wnt10a, Wnt1, Fzd5, Mycn), genes associated with EMT (e.g. Twist1, Snai2, Vim), and K19 and Tgfb1/Tgfbr1 expression. It is tempting to speculate that AXL may support Wnt1-induced multipotent stem-like properties (Vaillant et al., 2008). Further characterization of the MMTV-Wnt1 tumor data is required; more mechanistic insights should be gathered to determine if Axl depletion leads to an impairment of Wnt signaling, or whether the effect is independent of Wnt.We recently found that warfarin-use is associated with lower cancer risk in a large retrospective epidemiology study (Haaland et al., 2017). The vitamin K antagonist warfarin selectively inhibits gamma-carboxylation of Gla domain proteins, of which there are only 14 encoded in the human genome, most representing coagulation factors predominantly expressed in the liver. GAS6 is an outlier in this group with expression in several tissues and whose only known function is as the sole ligand for AXL (and a shared lower affinity ligand for MERTK/TYRO3). Of note, GAS6 is an estrogen inducible gene in mammary epithelial cells, and by bridging the kinase ectodomain and externalized phosphatidylserine (PS) displayed e.g on apoptotic cells, gamma-carboxylation of the GAS6 Gla domain is required for strong AXL activation, but not for MERTK/TYRO3 activation (Lew et al., 2014). Thus, “Gla-less” GAS6 is a specific AXL antagonist (Lew et al., 2014). Relevant to our warfarin experiments, and unaccounted for so far, is the possibility that other Gla domain proteins (periostin and osteocalcin) that are mainly expressed in the stroma were affected in a way that alters mammary epithelial activity.Based on the data presented here we propose a working model where juxtracrine GAS6 and AXL interactions support microenvironmental PS-sensing and adult mammary gland stem cell expansion in the context of tissue damage and regeneration that deserves to be further explored in relevant models. Collectively, the results support further exploring aberrant AXL signaling as a therapeutic target in the treatment as well as chemoprevention of breast cancers.
Limitations of the Study
The study of human breast epithelial stem cells is hampered by a lack of experimental models and thus our current understanding of mammary gland biology is derived largely from rodent models. Although a number of flow cytometric markers are used to enrich for MaSC, a consensus set of markers that identifies multipotent MaSC in both human and mouse mammary remain elusive. This lack of common markers and mechanistic understanding governing human and mouse multipotent MaSC has brought into question how congruent MaSC biology is between these two species, casting doubt on the relevance of results determined in mouse studies, particularly for breast cancer. Furthermore, it remains to be elucidated whether regeneration of adult mammary tissue from endogenous stem cells exploits the same molecular pathways used to establish the mammary epithelium during development. As the ability of sorted cells to form mammary glands in the cleared fat pad assay may be a better representation of regeneration, and the role of GAS6-AXL signaling in murine mammary gland development have not been addressed. From emerging high-dimensional data, one can speculate that a continuum of cells along the differentiation axis is far more complex than previously anticipated and remains to be explored further.
Resource Availability
Lead Contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, James Lorens (jim.lorens@uib.no).
Materials Availability
All unique/stable reagents generated in this study are available from the Lead Contact upon request pending completed Materials Transfer Agreement.
Data and Code Availability
The CyTOF data reported in this paper is accessible through Mendeley: https://doi.org/10.17632/j7mrbgt3hh.1. The BeadChip array data of sorted cells from B6.129P2-Axltm1Dgen/J mice are accessible through GEO database, accession number: GSE156662: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE156662.
Methods
All methods can be found in the accompanying Transparent Methods supplemental file.
Authors: Benjamin T Spike; Dannielle D Engle; Jennifer C Lin; Samantha K Cheung; Justin La; Geoffrey M Wahl Journal: Cell Stem Cell Date: 2012-02-03 Impact factor: 24.633
Authors: Bhupinder Pal; Toula Bouras; Wei Shi; François Vaillant; Julie M Sheridan; Naiyang Fu; Kelsey Breslin; Kun Jiang; Matthew E Ritchie; Matthew Young; Geoffrey J Lindeman; Gordon K Smyth; Jane E Visvader Journal: Cell Rep Date: 2013-01-31 Impact factor: 9.423
Authors: Elgene Lim; François Vaillant; Di Wu; Natasha C Forrest; Bhupinder Pal; Adam H Hart; Marie-Liesse Asselin-Labat; David E Gyorki; Teresa Ward; Audrey Partanen; Frank Feleppa; Lily I Huschtscha; Heather J Thorne; Stephen B Fox; Max Yan; Juliet D French; Melissa A Brown; Gordon K Smyth; Jane E Visvader; Geoffrey J Lindeman Journal: Nat Med Date: 2009-08-02 Impact factor: 53.440
Authors: Christina Curtis; Sohrab P Shah; Suet-Feung Chin; Gulisa Turashvili; Oscar M Rueda; Mark J Dunning; Doug Speed; Andy G Lynch; Shamith Samarajiwa; Yinyin Yuan; Stefan Gräf; Gavin Ha; Gholamreza Haffari; Ali Bashashati; Roslin Russell; Steven McKinney; Anita Langerød; Andrew Green; Elena Provenzano; Gordon Wishart; Sarah Pinder; Peter Watson; Florian Markowetz; Leigh Murphy; Ian Ellis; Arnie Purushotham; Anne-Lise Børresen-Dale; James D Brenton; Simon Tavaré; Carlos Caldas; Samuel Aparicio Journal: Nature Date: 2012-04-18 Impact factor: 49.962
Authors: Erin D Lew; Jennifer Oh; Patrick G Burrola; Irit Lax; Anna Zagórska; Paqui G Través; Joseph Schlessinger; Greg Lemke Journal: Elife Date: 2014-09-29 Impact factor: 8.140
Authors: René Villadsen; Agla J Fridriksdottir; Lone Rønnov-Jessen; Thorarinn Gudjonsson; Fritz Rank; Mark A LaBarge; Mina J Bissell; Ole W Petersen Journal: J Cell Biol Date: 2007-04-09 Impact factor: 10.539
Authors: Sarah Phillips; Aleix Prat; Maja Sedic; Theresa Proia; Ania Wronski; Sohini Mazumdar; Adam Skibinski; Stephanie H Shirley; Charles M Perou; Grace Gill; Piyush B Gupta; Charlotte Kuperwasser Journal: Stem Cell Reports Date: 2014-04-24 Impact factor: 7.765
Authors: Rajshekhar R Giraddi; Chi-Yeh Chung; Richard E Heinz; Ozlen Balcioglu; Mark Novotny; Christy L Trejo; Christopher Dravis; Berhane M Hagos; Elnaz Mirzaei Mehrabad; Luo Wei Rodewald; Jae Y Hwang; Cheng Fan; Roger Lasken; Katherine E Varley; Charles M Perou; Geoffrey M Wahl; Benjamin T Spike Journal: Cell Rep Date: 2018-08-07 Impact factor: 9.423
Authors: Ankita B Jaykumar; Sakina Plumber; David M Barry; Derk Binns; Chonlarat Wichaidit; Magdalena Grzemska; Svetlana Earnest; Elizabeth J Goldsmith; Ondine Cleaver; Melanie H Cobb Journal: Proc Natl Acad Sci U S A Date: 2022-07-22 Impact factor: 12.779
Authors: Katharina Theresa Kohler; Nadine Goldhammer; Samuel Demharter; Ulrich Pfisterer; Konstantin Khodosevich; Lone Rønnov-Jessen; Ole William Petersen; René Villadsen; Jiyoung Kim Journal: NPJ Breast Cancer Date: 2022-07-12
Authors: Maria L Lotsberg; Gro V Røsland; Austin J Rayford; Sissel E Dyrstad; Camilla T Ekanger; Ning Lu; Kirstine Frantz; Linda E B Stuhr; Henrik J Ditzel; Jean Paul Thiery; Lars A Akslen; James B Lorens; Agnete S T Engelsen Journal: Front Oncol Date: 2022-04-22 Impact factor: 5.738
Authors: Agnete S T Engelsen; Maria L Lotsberg; Raefa Abou Khouzam; Jean-Paul Thiery; James B Lorens; Salem Chouaib; Stéphane Terry Journal: Front Immunol Date: 2022-04-27 Impact factor: 8.786
Authors: Sundus F Shalabi; Masaru Miyano; Rosalyn W Sayaman; Jennifer C Lopez; Tiina A Jokela; Michael E Todhunter; Stefan Hinz; James C Garbe; Martha R Stampfer; Kai Kessenbrock; Victoria E Seewaldt; Mark A LaBarge Journal: Nat Aging Date: 2021-09-14