Literature DB >> 25223915

Differential expression of genes involved in the epigenetic regulation of cell identity in normal human mammary cell commitment and differentiation.

Danila Coradini1, Patrizia Boracchi, Saro Oriana, Elia Biganzoli, Federico Ambrogi.   

Abstract

The establishment and maintenance of mammary epithelial cell identity depends on the activity of a group of proteins, collectively called maintenance proteins, that act as epigenetic regulators of gene transcription through DNA methylation, histone modification, and chromatin remodeling. Increasing evidence indicates that dysregulation of these crucial proteins may disrupt epithelial cell integrity and trigger breast tumor initiation. Therefore, we explored in silico the expression pattern of a panel of 369 genes known to be involved in the establishment and maintenance of epithelial cell identity and mammary gland remodeling in cell subpopulations isolated from normal human mammary tissue and selectively enriched in their content of bipotent progenitors, committed luminal progenitors, and differentiated myoepithelial or differentiated luminal cells. The results indicated that, compared to bipotent cells, differentiated myoepithelial and luminal subpopulations were both characterized by the differential expression of 4 genes involved in cell identity maintenance: CBX6 and PCGF2, encoding proteins belonging to the Polycomb group, and SMARCD3 and SMARCE1, encoding proteins belonging to the Trithorax group. In addition to these common genes, the myoepithelial phenotype was associated with the differential expression of HDAC1, which encodes histone deacetylase 1, whereas the luminal phenotype was associated with the differential expression of SMARCA4 and HAT1, which encode a Trithorax protein and histone acetylase 1, respectively. The luminal compartment was further characterized by the overexpression of ALDH1A3 and GATA3, and the down-regulation of NOTCH4 and CCNB1, with the latter suggesting a block in cell cycle progression at the G2 phase. In contrast, myoepithelial differentiation was associated with the overexpression of MYC and the down-regulation of CCNE1, with the latter suggesting a block in cell cycle progression at the G1 phase.

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Year:  2014        PMID: 25223915      PMCID: PMC4198753          DOI: 10.5732/cjc.014.10066

Source DB:  PubMed          Journal:  Chin J Cancer        ISSN: 1944-446X


The mammary epithelium has been traditionally described as composed of polarized luminal and basally positioned myoepithelial cells organized to form lobulo-alveolar structures. According to the most recognized model, mature epithelial cells are generated from self-renewing undifferentiated mammary stem cells through a hierarchical process generating cell progeny that progressively differentiates into luminal and myoepithelial cells[1]. While mouse mammary stem cells are limited to the peripheral cap cells of terminal end buds, the basic structure of the human mammary gland is the terminal duct lobular unit, which includes the so-called breast epithelial stem cell zone. Essentially absent in lobules, stem cell zones are focally localized in ducts and contain scattered single stem cells or small clusters of cells composed of the progeny from a single progenitor[2]. Different from many other organs, the developmental program of the mammary gland is completed only postnatally when extensive mammary gland remodeling occurs in response to ovarian hormones. Terminal differentiation is associated with the acquisition of a heritable tissue-specific cell identity that depends on the differential expression of a predetermined set of genes. The expression of these genes is under the epigenetic control of some proteins, collectively termed maintenance proteins[3], which act essentially through DNA methylation, histone modification, and chromatin remodeling[4]. The best characterized maintenance proteins belong to the Trithorax and Polycomb groups[5]. Organized as multifactor complexes, Trithorax and Polycomb proteins control the transcription of many genes involved in stem cell renewal, pluripotency, and embryonic development[6]–[8]. Consequently, dysregulation in the expression and activity of Trithorax and Polycomb group components may have dramatic effects on cell identity and trigger pathologic alterations, including neoplastic transformation. Hence, elucidating the interrelations among the genes involved as regulators in the establishment and maintenance of mammary epithelial cell identity is of paramount importance for identifying the crucial elements that, when altered, may cause neoplastic transformation and lead to breast cancer. To this end, by making use of a publicly accessible microarray dataset[9], we explored the expression pattern of a panel of genes known to be involved in the control of cell identity and mammary gland remodeling in cell subpopulations isolated from normal human mammary tissue and selectively enriched in their content of bipotent progenitors, committed luminal progenitors, and differentiated myoepithelial or differentiated luminal cells.

Materials and Methods

Cell samples

As reported by Raouf et al.[9], cell subpopulations were isolated from three different reduction mammoplasty samples. Gene expression was determined using the U133-X3P Human GeneChip oligo-based microarray (Affymetrix, Santa Clara, CA, USA), and the corresponding microarray dataset was publicly available at the ArrayExpress website (http://ebi.ac.uk/arrayexpress/) under accession number E-GEOD-11395.

Gene set selection

After an extensive literature review, we established a panel of 369 genes including genes associated with the establishment and maintenance of cell identity, and mammary gland remodeling as well as genes involved in cell fate decision, cell growth control, cell polarity and adhesion, and steroid and TGF-β signaling. Of these 369 genes, 8 had no corresponding probe sets on U133-X3P GeneChip. Therefore, the gene set was actually composed of 361 elements for 842 Affymetrix probe sets, as verified by GeneAnnot system v2.2 (http://bioinfo2.weizmann.ac.il/geneannot/), which additionally provided information about the quality of connection between each probe set and the corresponding gene in terms of sensitivity and specificity[10]. Specifically, the sensitivity, defined as the fraction of probes in a probe set that match a respective gene, is the number of matching probes in a given probe set divided by the total number of probes in this probe set. The specificity indicates to what extent the probes of a probe set bind to genes, and it sums up the number of matching probes while giving lower weight to probes that match additional genes, divided by the total number of probes that match any gene.

Statistical analysis

Because some genes are recognized by more than a single probe set, each of which is characterized by an individual specificity and sensitivity that differently contribute to the gene expression value, prior to the analysis, a mean gene expression value was calculated after weighting each probe set for its own sensitivity and specificity. Namely, each gene expression value was multiplied by the semi sum of the sensitivity and specificity of the corresponding probe set. The differential gene expression between bipotent progenitors and differentiated basal, committed luminal, or differentiated luminal cells and between committed and differentiated luminal subpopulations was evaluated using an analysis of variance with pairing within each mammoplasty sample. To correct for multiple testing, the false discovery rate (FDR) with a cut-off of 10% was used[11]. All analyses were performed using the open source software R 2.11.1 package HDMD (http://www.R-project.org).

Results

Genes differentially expressed with an FDR < 0.1 in the total model

Of the 361 genes selected for the study, only 2 (ALDH5A1 and CCNE1) were proven to be differentially expressed with an FDR < 0.1 in the total model, i.e., considering bipotent progenitors, committed luminal, differentiated luminal, and differentiated basal cell subpopulations together. In particular, the expression of ALDH5A1, which encodes aldehyde dehydrogenase 5 family, member A1, was significantly increased in committed luminal cells, whereas the expression of CCNE1, which encodes Cyclin E1, was dramatically decreased in differentiated basal cells.

Genes differentially expressed with a P < 0.05 (single model) in the basal and/or luminal compartment

In addition to ALDH5A1 and CCNE1, 41 genes were proved to be differentially expressed in the basal and/or luminal compartment compared with bipotent progenitors (). Of these, 11 genes were differentially expressed (of note, in a similar manner) both in the basal and luminal compartments, 10 were differentially expressed exclusively in the basal cell subpopulation, and 20 were differentially expressed exclusively in the luminal compartment.
Table 1.

Genes differentially expressed (P < 0.05) in the basal and/or luminal compartment

Gene symbolGene nameBasal compartment
Luminal compartment
Fold change (95% CI)PFold change (95% CI)P
Common between the basal and luminal compartments
CBX6Chromobox homolog 6-4.77 (-7.89; -1.64)0.010-5.28 (-8.40; -2.16)0.006
ID3Inhibitor of DNA-binding 31.86 ( 0.55; 3.17)0.013-1.63 (-2.94; -0.32)0.023
ID4Inhibitor of DNA-binding 41.22 ( 0.44; 1.20)0.009-0.94 (-1.72; -0.16)0.026
JAM3Junctional adhesion molecule 3-1.78 (-3.14; -0.42)0.019-2.19 (-3.56; -0.83)0.008
MKI67Antigen identified by monoclonal antibody Ki-67-3.49 (-5.57; -1.41)0.006-2.11 (-4.19; -0.03)0.048
NOTCH3Notch homolog 30.86 ( 0.03; 1.70)0.0441.17 ( 0.34; 2.00)0.014
PCGF2Polycomb group ring finger 2-1.81 (-3.08; -0.55)0.013-1.34 (-2.61; -0.08)0.041
PFN2Profilin 23.09 ( 0.36; 5.82)0.0322.86 ( 0.13; 5.59)0.043
SMARCAD3SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily d, member 3-4.58 (-6.99; -2.16)0.004-3.86 (-6.28; -1.44)0.008
SMARCE1SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily e, member 12.22 ( 1.05; 3.39)0.0041.19 ( 0.02; 2.36)0.047
TGFBR1Transforming growth factor beta receptor 11.95 ( 0.90; 3.00)0.0041.63 ( 0.58; 2.68)0.009
Exclusive for the basal compartment
CADM1Cell adhesion molecule 11.19 ( 0.14; 2.25)0.032-0.61 (-1.67; 0.44)0.205
CCNE1Cyclin E1-4.38 (-5.64; -3.11)0.00020.06 (-1.20; 1.33)0.907
CLDN1Claudin 11.49 ( 0.14; 2.85)0.0360.21 (-1.14; 1.56)0.717
CRB3Crumbs homolog 3-2.84 (-4.24; -1.45)0.002-0.54 (-1.94; 0.86)0.380
DPY30Dpy-30 homolog (C. elegans)1.30 ( 0.07; 2.53)0.0410.38 (-0.85; 1.61)0.477
HDAC1Histone deacetylase 1-2.08 (-3.02; -1.15)0.0020.52 (-0.42; 1.45)0.223
MFGE8Milk fat globule-EGF factor 81.47 ( 0.07; 2.88)0.0430.99 (-0.41; 2.40)0.134
MLL4Myeloid/lymphoid or mixed-lineage leukemia 4-1.96 (-2.84; -1.09)0.0020.32 (-0.55; 1.19)0.405
MMEMembrane metallo-endopeptidase0.82 ( 0.04; 1.59)0.042-0.01 (-0.79; 0.77)0.976
MYCv-Myc myelocytomatosis viral oncogene homolog (avian)3.59 ( 0.17; 7.01)0.0430.11 (-3.31; 3.53)0.938
PRKCZProtein kinase C, zeta-2.58 (-5.11; -0.06)0.0470.42 (-2.10; 2.95)0.696
Exclusive for the luminal compartment
ALDH1A3Aldehyde dehydrogenase 1 family, member A31.02 (-3.91; 5.94)0.6315.60 ( 0.68; 10.52)0.032
ALDH5A1Aldehyde dehydrogenase 5 family, member A1-0.22 (-0.83; 0.39)0.4112.21 ( 1.60; 2.82)0.0001
CCNB1Cyclin B1-0.21 (-1.27; 0.86)0.652-2.30 (-3.36; -1.23)0.002
CLDN3Claudin 30.08 (-3.86; 4.02)0.962-3.94 (-7.88; -0.01)0.050
EMP1Epithelial membrane protein 11.98 (-0.38; 4.34)0.0852.84 ( 0.49; 5.20)0.026
EPCAMEpithelial cell adhesion molecule2.33 (-0.25; 4.90)0.0692.64 ( 0.06; 5.21)0.046
GATA3GATA-binding protein 30.31 (-0.63; 1.25)0.4451.30 ( 0.36; 2.24)0.015
HAT1Histone acetyltransferase 11.07 (-1.42; 3.56)0.3342.54 ( 0.05; 5.03)0.047
HES6Hairy and enhancer of split 60.46 (-0.33; 1.24)0.2040.78 ( 0.03; 1.57)0.049
ITGB4Integrin, beta 4-0.96 (-2.62; 0.69)0.205-1.76 (-3.42; -0.10)0.041
JAK3Janus kinase 3-1.34 (-2.94; 0.26)0.087-1.95 (-3.56; -0.35)0.025
MUC1Mucin 1, cell surface associated0.63 (-2.19; 3.45)0.6042.91 ( 0.09; 5.73)0.045
NOTCH4Notch homolog 4-0.74 (-4.79; 3.31)0.669-4.33 (-8.38; -0.28)0.040
SMARCA4SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily a, member 4-0.17 (-0.97; 0.63)0.6230.94 ( 0.14; 1.75)0.028
SOX10SRY (sex-determining region Y)-box 100.21 (-0.98; 1.40)0.6811.40 ( 0.21; 2.59)0.028
STAT5BSignal transducer and activator of transcription 5B-0.72 (-2.60; 1.16)0.3851.91 ( 0.03; 3.79)0.047
TGFB3Transforming growth factor, beta 30.02 (-0.53; 0.56)0.9431.40 ( 0.85; 1.95)0.001
THY1Thy-1 cell surface antigen-3.03 (-8.43; 2.38)0.220-5.75 (-11.2; -0.34)0.041
TIAM1T-cell lymphoma invasion and metastasis0.35 (-1.01; 1.70)0.5531.54 ( 0.19; 2.89)0.031
TJP3Tight junction protein 30.60 (-2.63; 3.83)0.6643.44 ( 0.21; 6.67)0.040
VIMVimentin-0.98 (-3.19; 1.23)0.320-3.10 (-5.31; -0.89)0.014

CI, confidence interval.

CI, confidence interval.

Scatter plots of the 11 genes found differentially expressed in both the basal and luminal compartments compared with bipotent cells.

BI, bipotent progenitors; CL, committed luminal cells; DL, differentiated luminal cells; DB, differentiated basal cells.

Genes differentially expressed in both compartments

The set of genes differentially expressed in both compartments included some elements involved in the activation of cell differentiation (TGFBR1, ID3, ID4, and NOTCH3) and the epigenetic control of gene transcription (CBX6, PCGF2, SMARCD3, and SMARCE1) or coding for proteins associated with cell morphology (PFN2 and JAM3) and cell proliferation (MKI67) ().
Figure 1.

Scatter plots of the 11 genes found differentially expressed in both the basal and luminal compartments compared with bipotent cells.

BI, bipotent progenitors; CL, committed luminal cells; DL, differentiated luminal cells; DB, differentiated basal cells.

Genes differentially expressed in the basal compartment

The set of genes associated with the basal subpopulation in an exclusive manner included elements encoding proteins involved in cell fate decision (MFGE8 and MYC), the epigenetic control of gene transcription (DPY30, HDAC1, and MLL4), cell cycle progression (CCNE1), cell polarity (CRB3 and PRKCZ), adhesion (CADM1 and CLDN1), and morphology (MME) ().
Figure 2.

Scatter plots of the genes found to be differentially expressed between differentiated basal cells and bipotent progenitors.

Abbreviations as in the legends of Figure 1.

Scatter plots of the genes found to be differentially expressed between differentiated basal cells and bipotent progenitors.

Abbreviations as in the legends of Figure 1.

Scatter plots of the genes found to be differentially expressed between the luminal compartment (committed or differentiated subpopulation) and bipotent progenitors.

Abbreviations as in the legends of Figure 1.

Genes differentially expressed in the luminal compartment

The set of genes specifically associated with the luminal subpopulation included elements coding for proteins involved in the TGF-β signaling pathway (TGFB3), cell fate decision (ALDH1A3, ALDH5A1, HES6, NOTCH4, and SOX10), the epigenetic control of gene transcription (HAT1 and SMARCA4), cell cycle progression (CCNB1), cell adhesion (CLDN3, ITGB4, TJP3, and TIAM1) and morphology (EMP1, EPCAM, GATA3, MUC1, and VIM), and cytokines (JAK3, STAT5B, and THY1) (). Consistent with the notion that mature basal cells have a pattern of expression similar to bipotent precursors, the luminal subpopulation showed a greater number of differentially expressed genes compared to the basal subpopulation.
Figure 3.

Scatter plots of the genes found to be differentially expressed between the luminal compartment (committed or differentiated subpopulation) and bipotent progenitors.

Abbreviations as in the legends of Figure 1.

Volcano plots

To allow a quick visual identification of the differentially expressed genes, we built a series of volcano plots combining, for each gene, the statistical significance with the magnitude of its change compared to a reference class (expressed as fold change). shows three of these volcano plots: the upper and middle panels illustrate the genes differentially expressed between differentiated basal or committed luminal cells and bipotent progenitors, whereas the lower panel illustrates the genes differentially expressed between committed and differentiated luminal subpopulations. To avoid misleading conclusions, we considered as biologically significant only genes having a fold change higher than 2. According to such a criterion, with respect to bipotent progenitors, mature basal cells were represented by 10 genes, 5 of which (CBX6, MKI67, PFN2, SMARCAD3, and SMARCE1) were in common with the luminal subpopulation, suggesting their modulation is associated with epithelial differentiation rather than with basal- or luminal-restricted commitment. With regard to the exclusive genes (CCNE1, CRB3, HDAC1, MYC, and PRKCZ), all but MYC were proven to be underexpressed, with a special mention for the dramatic down-regulation of CCNE1 (). As shown in , 11 genes characterized committed luminal cells (middle panel); an additional 7 genes were specifically associated with differentiated luminal cells (lower panel). Interestingly, the volcano plots indicated that, excluding the genes specifically associated with the luminal phenotype (namely, the overexpressed EMP1, EPCAM, MUC1, and TJP3 and the underexpressed VIM and THY1), the committed cells were characterized by the overexpression of ALDH1A3 and ALDH5A1 and the underexpression of NOTCH4, and the differentiated cells were characterized by the overexpression of HAT1 and the underexpression of CCNB1 and CLDN3.
Figure 4.

Volcano blots of the genes differentially expressed between differentiated basal cells and bipotent progenitors (upper panel), between committed luminal cells and bipotent progenitors (medium panel), or between differentiated luminal and committed luminal cells (lower panel).

Abbreviations as in the legends of Figure 1. Combining the statistical significance with the magnitude of the change (expressed as fold change), the volcano plot enables a quick visual identification of the genes differentially expressed. The dashed red line shows where the P = 0.05. Genes having a fold change higher than 2 are depicted in blue.

Volcano blots of the genes differentially expressed between differentiated basal cells and bipotent progenitors (upper panel), between committed luminal cells and bipotent progenitors (medium panel), or between differentiated luminal and committed luminal cells (lower panel).

Abbreviations as in the legends of Figure 1. Combining the statistical significance with the magnitude of the change (expressed as fold change), the volcano plot enables a quick visual identification of the genes differentially expressed. The dashed red line shows where the P = 0.05. Genes having a fold change higher than 2 are depicted in blue.

Discussion

We performed this in silico study to specifically explore the expression pattern of genes involved in the control of cell identity and mammary gland remodeling in normal bipotent progenitors, committed luminal cells, and differentiated basal and luminal cells isolated from reduction mammoplasty samples. Although the study suffers from the limitation common to the majority of studies involving only gene expression profiling, i.e., a lack of validation of the observed mRNA modulations at the protein level, our results provide interesting suggestions about the relationships among the genes that define epithelial cell identity and those involved in lineage differentiation. In particular, the findings indicate a portion of genes as common to the basal and luminal compartments, with each cell subpopulation being represented by an exclusive set of genes. Of note, among the genes differentially expressed in both compartments (), TGFBR1, ID3, ID4, and NOTCH3 were identified, all of which are known to be involved in the activation of the differentiation program. TGFBR1, ID3, and ID4, in fact, encode TGF-β receptor 1 and two transcription factors involved in the canonical TGF-β/Smad signaling pathway, whereas NOTCH3 encodes a single-pass type I membrane protein having a receptor function for several membrane-bound ligands (Jagged 1, Jagged 2, and Delta 1) during the cell fate determination of stem/progenitor cells in mammary differentiation[12]. Interestingly, although ID3 and ID4 expression levels were decreased in committed luminal cells, in keeping with the established role of inhibitor of DNA-binding (ID) proteins in enforcing the undifferentiated state of embryonic and somatic stem cells[13],[14], their expression levels increased in mature cells, which is in line with the tumor-suppressor activity exerted by some ID proteins, especially ID4[15]. Consistent with their common epithelial commitment, both compartments showed the overexpression of PFN2, which encodes Profilin 2, a structural protein involved in cytoskeleton organization, and the underexpression of JAM3, which codes for a junctional adhesion molecule specific to high endothelial cells. In addition, in agreement with the association between cell cycle arrest and differentiation, both compartments exhibited the underexpression of MKI67, which codes for the cell proliferation marker Ki-67. Regarding genes coding for cell identity maintenance proteins, 4 genes were proven to be differentially expressed in both compartments: CBX6 and PCGF2, belonging to the Polycomb group, and SMARCD3 and SMARCE1, belonging to the Trithorax group. Genetic studies have established that, in humans, Polycomb proteins are organized into two distinct complexes: polycomb repressive complex (PRC)-1 and PRC-2, which act cooperatively as transcriptional repressors. In particular, PRC-2 first catalyzes the trimethylation of histone H3 at lysine 27, and then PRC-1 promotes the monoubiquitination of histone H2A at lysine 119, blocking transcriptional elongation[16]. Consistent with this repressive process, CXB6 and PCGF2 were underexpressed in differentiated cells, thereby allowing the transcription of the genes involved in cell differentiation. In contrast, Trithorax proteins can act as transcriptional activators or repressors depending on the specific context and on the multiprotein complex in which they are included[17]. Hence, it is not surprising that we observed an apparent contrasting expression pattern of SMARCD3 (underexpressed) and SMARCE1 (overexpressed), which code for 2 regulatory proteins, Baf60c and Baf57. Recent studies have demonstrated that Baf57 depletion caused the transcriptional misregulation of various cell cycle-related genes[18], whereas the stable re-expression of the gene induced cell cycle arrest and apoptosis in breast cancer cells[19]. These findings suggest a role for Baf57 as a tumor suppressor. The present findings support this hypothesis because we found that the overexpression of SMARCE1 was associated with the underexpression of MKI67. With regard to genes differentially expressed in the basal compartment, our results indicate that normal myoepithelial differentiation is associated with the block of cell progression at the G1 phase of the cell cycle, as suggested by the down-regulation of CCNE1. Cyclin E1, which is involved in the control of cell cycle progression at the G1/S boundary[20], activates Cyclin-dependent kinase (Cdk)2 to overcome the G1/S restriction point. Conversely, low expression of Cyclin E1 prevents cell cycle progression and mitosis. As high levels of Cyclin E have been associated with basal-like breast cancer and a poor outcome[21], the present findings support the attractive hypothesis that the constitutive reactivation of CCNE1 expression might represent a crucial event in basal-like cancer development and progression. In apparent contrast with CCNE1 silencing, we observed the overexpression of MYC, which encodes a transcription factor involved in cell proliferation and is known as potent activator of tumorigenesis in a variety of cancers, including breast cancer[22]. Specifically, Myc controls the G1/S transition through the activation of the Cyclin E/Cdk2 complex, which in turn represses the expression of Cdk inhibitor P21Cip1. This apparently paradoxical association between MYC overexpression and CCNE1 underexpression is however consistent with the proposed context-dependent role of Myc in normal mammary epithelium. In fact, Myc can promote mammary epithelial terminal differentiation or cell proliferation according to the developmental stage[23]. The present findings support this stage-dependent role of MYC in promoting terminal differentiation: although silenced in bipotent progenitors, it was proven to be overexpressed in differentiated cells. Regarding genes coding for cell identity maintenance proteins, in addition to the above descriptions, mature basal cells were found to underexpress HDAC1, which codes histone deacetylase 1, an enzyme able to induce histone modification via the deacetylation of lysine residues on histone tails. Because histone deacetylase 1 promotes gene silencing when associated with Baf60c and Baf57, the observation that HDAC1 is underexpressed in differentiated cells, thus allowing gene transcription, is not surprising. As opposed to basal cells, in which cell cycle arrest is associated with CCNE1 down-regulation, our results indicate that luminal terminal differentiation is associated with the down-regulation of CCNB1, which encodes Cyclin B1, the Cyclin involved in the control of cell cycle progression at the G2/M boundary. Furthermore, the observation that, in contrast to mature cells, committed luminal cells constitutively express high levels of CCNB1 (similar to bipotent cells, ) suggests that attaining luminal differentiation specifically requires the block of cell cycle progression before entering mitosis. Interestingly, the underexpression of CCNB1, which was observed in mature luminal cells, accounts for the clinical evidence that Cyclin B1 overexpression in breast cancer is associated with aggressive tumors (high tumor grade, large tumor size, and high metastasis probability) and a poor prognosis[24]. Consistent with cell cycle arrest and terminal luminal differen-tiation [supported by the differential expression of several genes involved in cell adhesion (CLDN3, ITGB4, TJP3, and TIAM1) and morphology (EMP1, EPCAM, GATA3, MUC1, and VIM)], mature cells overexpressed HAT1, which encodes histone acetyltransferase 1, the enzyme able to acetylate lysine residues on histone tails to promote the relaxation of chromatin condensation and allow gene transcription. Of note, compared to mature cells, committed luminal cells were characterized by the differential expression of 3 genes involved in cell fate decision: ALDH1A3, ALDH5A1 (both overexpressed), and NOTCH4 (underexpressed). ALDH1A3 and ALDH5A1 code for 2 isoenzymes belonging to the family of aldehyde dehydrogenases (ALDHs) but with different functions. ALDH1A3 is a retinaldehyde dehydrogenase that catalyzes the biosynthesis of retinoic acid (a strong differentiation inducer), whereas ALDH5A1 is a mitochondrial NAD(+)-dependent succinic semialdehyde dehydrogenase. ALDH family members have been extensively investigated and are involved in several processes, including development; ALDH1A3, in particular, has been shown to increase at the point of progenitor cell commitment to the luminal lineage[25]. Consistent with this experimental evidence, our results indicate that although ALDH1A3 expression is low in bipotent progenitors, the gene shows a sharp increase in committed luminal cells (). Interestingly, the finding also supports the hypothesis that ALDH1A3 activates the luminal cell differentiation program as part of the retinoid signaling pathway in concert with Gata-3, the essential regulator of mammary gland morphogenesis and luminal cell differentiation[26], which we found to be overexpressed in differentiated luminal cells. ALDH1A3, in fact, catalyzes the biosynthesis of retinoic acid in mammary cells[27], and experimental studies have demonstrated that approximately two-thirds of human genes with binding sites for Gata-3 contain retinoic acid regulatory elements[28]. Regarding the down-regulation of NOTCH4, which is known to be critical for maintaining stem/progenitor cell activity[29], the present findings corroborate the notion of a diverse functional role of Notch receptors in the luminal lineage restriction process[30], as indicated by the complementary pattern of NOTCH3 and NOTCH4 expression. It is noteworthy that the present findings also corroborate two significant aspects of luminal/basal commitment and differentiation: the co-presence of both luminal and basal cytokeratins in undifferentiated and primitive luminal/myoepithelial progenitors and the lack of estrogen receptors in differentiated luminal cells. In fact, in agreement with the current opinion suggesting that the phenotype-restricted expression of cytokeratins is a late step in the process of lineage-specific differentiation[31], we found that all cell subpopulations, bipotent progenitors included, constitutively expressed high levels of both basal- (KRT5, KRT6B, KRT14, KRT16, and KRT17) and luminal-associated (KRT7, KRT8, KRT18, and KRT19) cytokeratins. Furthermore, consistent with the notion that estrogen receptor expression is a terminal event in luminal-specific differentiation, the ESR1 gene was found to be silenced in all subpopulations.

Conclusions

Although preliminary, the present findings indicated that the commitment and differentiation of normal human mammary cells are associated with the differential expression of a narrow panel of genes coding for some regulatory proteins belonging to the Polycomb and Trithorax groups or that are involved in the epigenetic control of gene transcription. In addition, the results provide evidence that basal differentiation is associated with the block of cell progression before entering mitosis, whereas luminal differentiation is associated with blockage at the G1 phase, during which Gata-3, the essential regulator of mammary gland morphogenesis, promotes and governs the expression of a plethora of genes involved in the establishment and maintenance of the luminal phenotype.
  28 in total

Review 1.  Polycomb repression: from cellular memory to cellular proliferation and cancer.

Authors:  Jacqueline J L Jacobs; Maarten van Lohuizen
Journal:  Biochim Biophys Acta       Date:  2002-06-21

Review 2.  Epigenetic regulation of cellular memory by the Polycomb and Trithorax group proteins.

Authors:  Leonie Ringrose; Renato Paro
Journal:  Annu Rev Genet       Date:  2004       Impact factor: 16.830

3.  Developmental stage determines the effects of MYC in the mammary epithelium.

Authors:  Collin M Blakely; Louis Sintasath; Celina M D'Cruz; Kristina T Hahn; Katherine D Dugan; George K Belka; Lewis A Chodosh
Journal:  Development       Date:  2005-02-02       Impact factor: 6.868

Review 4.  Polycomb silencers control cell fate, development and cancer.

Authors:  Anke Sparmann; Maarten van Lohuizen
Journal:  Nat Rev Cancer       Date:  2006-11       Impact factor: 60.716

5.  A role for BAF57 in cell cycle-dependent transcriptional regulation by the SWI/SNF chromatin remodeling complex.

Authors:  Nasun Hah; Annemieke Kolkman; Donald D Ruhl; W W M Pim Pijnappel; Albert J R Heck; H Th Marc Timmers; W Lee Kraus
Journal:  Cancer Res       Date:  2010-05-11       Impact factor: 12.701

6.  Retinoic acid biosynthesis by normal human breast epithelium is via aldehyde dehydrogenase 6, absent in MCF-7 cells.

Authors:  B N Rexer; W L Zheng; D E Ong
Journal:  Cancer Res       Date:  2001-10-01       Impact factor: 12.701

7.  High levels of Id1 expression define B1 type adult neural stem cells.

Authors:  Hyung-song Nam; Robert Benezra
Journal:  Cell Stem Cell       Date:  2009-11-06       Impact factor: 24.633

8.  Common adult stem cells in the human breast give rise to glandular and myoepithelial cell lineages: a new cell biological concept.

Authors:  Werner Böcker; Roland Moll; Christopher Poremba; Roland Holland; Paul J Van Diest; Peter Dervan; Horst Bürger; Daniel Wai; Raihanatou Ina Diallo; Burkhard Brandt; Hermann Herbst; Ansgar Schmidt; Markus M Lerch; Igor B Buchwallow
Journal:  Lab Invest       Date:  2002-06       Impact factor: 5.662

9.  Role of Notch signaling in cell-fate determination of human mammary stem/progenitor cells.

Authors:  Gabriela Dontu; Kyle W Jackson; Erin McNicholas; Mari J Kawamura; Wissam M Abdallah; Max S Wicha
Journal:  Breast Cancer Res       Date:  2004-08-16       Impact factor: 6.466

10.  Evidence for a stem cell hierarchy in the adult human breast.

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

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  7 in total

1.  MicroRNA miR-16-1 regulates CCNE1 (cyclin E1) gene expression in human cervical cancer cells.

Authors:  Ma Isabel Zubillaga-Guerrero; Luz Del Carmen Alarcón-Romero; Berenice Illades-Aguiar; Eugenia Flores-Alfaro; Víctor Hugo Bermúdez-Morales; Jessica Deas; Oscar Peralta-Zaragoza
Journal:  Int J Clin Exp Med       Date:  2015-09-15

2.  Tumor suppressor function of miR-483-3p on breast cancer via targeting of the cyclin E1 gene.

Authors:  Xiaoxi Huang; Jin Lyu
Journal:  Exp Ther Med       Date:  2018-07-23       Impact factor: 2.447

3.  Epithelial cell identity in hyperplastic precursors of breast cancer.

Authors:  Danila Coradini; Patrizia Boracchi; Saro Oriana; Elia Biganzoli; Federico Ambrogi
Journal:  Chin J Cancer       Date:  2015-03-05

4.  Functional screening of mammalian mechanosensitive genes using Drosophila RNAi library- Smarcd3/Bap60 is a mechanosensitive pro-inflammatory gene.

Authors:  Sandeep Kumar; In-Hwan Jang; Chan Woo Kim; Dong-Won Kang; Won Jae Lee; Hanjoong Jo
Journal:  Sci Rep       Date:  2016-11-07       Impact factor: 4.379

5.  BGRMI: A method for inferring gene regulatory networks from time-course gene expression data and its application in breast cancer research.

Authors:  Luis F Iglesias-Martinez; Walter Kolch; Tapesh Santra
Journal:  Sci Rep       Date:  2016-11-23       Impact factor: 4.379

6.  Polycomb group expression signatures in the malignant progression of gliomas.

Authors:  Qi Hu; Weining Wu; Ailiang Zeng; Tianfu Yu; Feng Shen; Er Nie; Yingyi Wang; Ning Liu; Junxia Zhang; Yongping You
Journal:  Oncol Lett       Date:  2017-02-20       Impact factor: 2.967

Review 7.  Molecular profiles to biology and pathways: a systems biology approach.

Authors:  Steven Van Laere; Luc Dirix; Peter Vermeulen
Journal:  Chin J Cancer       Date:  2016-06-16
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