Literature DB >> 31018138

In Situ Modification of Tissue Stem and Progenitor Cell Genomes.

Jill M Goldstein1, Mohammadsharif Tabebordbar2, Kexian Zhu3, Leo D Wang4, Kathleen A Messemer1, Bryan Peacker1, Sara Ashrafi Kakhki1, Meryem Gonzalez-Celeiro5, Yulia Shwartz6, Jason K W Cheng7, Ru Xiao8, Trisha Barungi8, Charles Albright7, Ya-Chieh Hsu6, Luk H Vandenberghe9, Amy J Wagers10.   

Abstract

In vivo delivery of genome-modifying enzymes holds significant promise for therapeutic applications and functional genetic screening. Delivery to endogenous tissue stem cells, which provide an enduring source of cell replacement during homeostasis and regeneration, is of particular interest. Here, we use a sensitive Cre/lox fluorescent reporter system to test the efficiency of genome modification following in vivo transduction by adeno-associated viruses (AAVs) in tissue stem and progenitor cells. We combine immunophenotypic analyses with in vitro and in vivo assays of stem cell function to reveal effective targeting of skeletal muscle satellite cells, mesenchymal progenitors, hematopoietic stem cells, and dermal cell subsets using multiple AAV serotypes. Genome modification rates achieved through this system reached >60%, and modified cells retained key functional properties. This study establishes a powerful platform to genetically alter tissue progenitors within their physiological niche while preserving their native stem cell properties and regulatory interactions.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AAV; dermal; gene modification; hematopoietic; mesenchymal; muscle; progenitor; satellite cell; stem cell

Mesh:

Year:  2019        PMID: 31018138      PMCID: PMC6858480          DOI: 10.1016/j.celrep.2019.03.105

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


INTRODUCTION

Effective organ function requires both homeostatic maintenance of appropriate cell numbers and injury-induced repair responses that can replace damaged cells, both processes that rely on tissue stem cells. Studies spanning multiple decades have sought to define key molecular regulators of tissue stem cell function; however, the pace at which investigators have been able to interrogate and define such mediators has been constrained by the technological limitations of generating genetically engineered mice and of stem cell transplantation models typically used for such studies. In particular, transgenic and gene knockout-based approaches require the generation and breeding of multiple distinct genetically engineered deletion and/or floxed alleles to disrupt genes of interest in a ubiquitous or tissue-specific manner, and this challenge is exacerbated when the combinatorial effects of perturbing several genes are of interest. Likewise, ex vivo genomic manipulation of stem cells requires the isolation and transplantation of these cells, which disturbs key regulatory interactions present in endogenous stem cell niches and can profoundly modify normal stem cell properties (Wagers, 2012). Thus, the field would benefit tremendously from the availability of a programmable, in vivo platform to manipulate gene expression in endogenous stem cells without the need to isolate them or to generate complex, multiallelic transgenic animals. Previous work from our laboratory used a fluorescent reporter system to monitor in vivo delivery of DNA encoding Cre recombinase, a sequence-targeted genome-modifying enzyme, to skeletal muscle stem cells (also known as muscle satellite cells) using adeno-associated viruses (AAVs) (Tabebordbar et al., 2016). In that study, systemic Cre delivery to neonatal mice harboring a Rosa26-tdTomato Ai9 reporter allele using AAV serotype 9 (AAV9-Cre) resulted in modification of ~10% of the total satellite cell pool (as indicated by tdTomato fluorescence). Analogous administration of AAV-CRISPR, a system composed of two AAV vectors (one encoding Staphylococcus aureus Cas9 [saCas9] and a second encoding dual U6-driven guide RNAs targeting sequences flanking the STOP cassette upstream of the Ai9 reporter allele), induced tdTomato fluorescence in 2%–4% of endogenous satellite cells (Tabebordbar et al., 2016). These results suggest that endogenous muscle satellite cells in neonatal animals are accessible to systemically administered AAVs and can be modified following transduction by these vectors carrying genome-targeting enzymes. Encouraged by these initial results, we have applied this same tdTomato reporter system in this study to investigate whether systemic AAV administration can also transduce satellite cells in adult animals and whether this approach might be extended to additional AAV serotypes and distinct tissue stem cells and progenitor populations. We report efficient transduction of adult mouse satellite cells following in vivo systemic delivery of AAVCre, reaching >60% of the total satellite cell pool and representing a 6-fold increase over our previous study in neonatal mice (Tabebordbar et al., 2016). We further reveal that this transduction capacity is not limited to AAV9 but extends to additional AAV serotypes, including AAV8 and Anc80L65 (hereafter designated Anc80). Finally, we report the transduction and genome modification of multiple non-myogenic stem and progenitor cells, including mesenchymal progenitors in the skeletal muscle and dermis, as well as hematopoietic stem and progenitor cells in the bone marrow. Subsequent isolation, differentiation, and transplantation studies confirm that the targeted tissue stem cells retain their regenerative functions following in situ AAV transduction and genome modification. Collectively, these studies document efficient in vivo genome modification of distinct lineages of stem and progenitor cells across multiple anatomical niches using AAV delivery in adult mammals. This system presents exciting opportunities to pursue in vivo gene activation, disruption, and editing strategies in tissue-resident stem cells for therapeutic purposes, as well as approaches to induce or inactivate transgenic or endogenous alleles to uncover novel molecular regulators of stem and progenitor cells within their native niches.

RESULTS

We previously demonstrated the feasibility of in vivo gene modification in satellite cells by AAV9-mediated delivery of genome-modifying enzymes (Tabebordbar et al., 2016). As noted earlier, we observed transduction of satellite cells after intraperitoneal delivery of AAV9-Cre in neonatal mice (~10%) and following intramuscular delivery of AAV9-Cre in adult mice (~35%). However, we did not evaluate adult satellite cell transduction rates following intravenous injection (Tabebordbar et al., 2016). Thus, in the current study, we asked whether systemic AAV administration to adult animals might target satellite cells and whether this systemic delivery approach in adults may likewise target other stem cell and progenitor populations in distinct anatomical locations. To perform this proof-of-concept study, we produced AAV particles encoding Cre recombinase (AAV-Cre) downstream of a cytomegalovirus (CMV) promoter and a chimeric intron packaged with AAV8, AAV9, or Anc80 (Zinn et al., 2015) and injected them intravenously into young adult (6 weeks old) Ai9 mice (on an mdx background: mdx;Ai9 mice) (Figure 1A). The Ai9 allele encodes a Rosa26-LoxP-STOP-LoxP-tdTomato reporter, which enables irreversible labeling of targeted cells with tdTomato fluorescence, detectable with single-cell resolution, after Cre-mediated excision of the STOP cassette (Madisen et al., 2010). AAVCre particles were injected intravenously by either the tail vein or the retro-orbital sinus at a low dose (5.5 × 1011 to 8 × 1011 viralgenomes [vg] per mouse) or a high dose (2.2 × 1012 vg per mouse). Tissues were then analyzed 2–3 weeks after injection for the presence of tdTomato fluorescence in three well-defined regenerative adult precursor cell populations—skeletal muscle satellite cells, muscle-resident mesenchymal progenitor cells, and bone marrow-localized hematopoietic stem and progenitor cells—all of which are easily identifiable by extensively validated cell surface marker profiles (Cerletti et al., 2008; Kiel et al., 2005; Maesner et al., 2016; Sherwood et al., 2004).
Figure 1.

Systemic AAV-Cre Administration Transduces Muscle Satellite Cells

(A) Experimental design. AAVs encoding Cre recombinase were injected into mdx;Ai9 mice, which carry a Rosa26-LSL-tdTomato reporter. i.v., intravenous; LSL, LoxP-STOP-LoxP.

(B) Representative flow cytometric analysis of skeletal muscle satellite cells isolated from mdx;Ai9 mice injected intravenously with AAV-Cre packaged in various serotypes at a low dose (~5.5 × 1011 to 8 × 1011 vg) or a high dose (~2.2 × 1012 vg). MuSCs, muscle satellite cells.

(C) Quantification of the frequency of AAV-transduced and Cre-recombined tdTomato+ muscle satellite cells.

Data points from individual mice are overlaid with mean ± SD. n = 4 mice injected with each AAV serotype per group, n = 3 vehicle-injected mice per group. vg, viral genomes; Anc80, Anc80L65.

See also Figures S1, S2, S5, and S6 and Table S1.

We detected tdTomato+ muscle satellite cells, defined as CD45CD11b (Mac-1)− Ter119Sca-1– β1-integrin+ CXCR4+ cells (Figure S1C) (Cerletti et al., 2008; Maesner et al., 2016; Sherwood et al., 2004), at frequencies ranging from 8% to 62% in all animals injected with AAV-Cre (n = 24 mice) irrespective of the anatomical location of intravenous injection (retro-orbital or tail vein), indicating robust and reproducible Cre-dependent recombination following in vivo transduction of these cells by AAV (Figures 1B and 1C). No tdTomato+ cells were detected in vehicle-injected controls (n = 6) (Figures 1B and 1C). Comparing mice injected with the same serotype of AAV, the percentage of tdTomato+ satellite cells roughly correlated with the dose of AAV injected, and on average, more than half of the total pool of satellite cells was transduced and genetically modified with the higher doses of either AAV8-Cre or Anc80-Cre (Figure 1C). We validated these findings by immunofluorescence analysis in a subset (n = 3) of high-dose AAV8-Cre-injected animals, confirming the presence of tdTomato+ muscle satellite cells (marked by Pax7 expression and by their localization beneath the basal lamina) (Seale et al., 2000) in 29 of 30 of sections analyzed from three AAV-Cre-injected mice (Figure S1A). No tdTomato+ cells were detected in sections from uninjected controls. Quantification of these microscopy data across all three animals indicated an average ~34% of Pax7+ satellite cells that were also tdTomato+ (Figure S1B), similar to results obtained by flow cytometry (Figure 1C). We observed substantial variability in the frequency of tdTomato+ Pax7+ muscle satellite cells present in different sections prepared from the same muscle (Figure S1B), suggesting that AAV transduction, and subsequent genome modification events, may not be distributed evenly throughout the muscle tissue. We next investigated whether in vivo AAV-transduced and genome-modified satellite cells maintained their myogenic capacity (Figure 1A). Satellite cells sorted from the muscles of AAV-Cre-injected mice retained their ability to proliferate, differentiate, and fuse to form tdTomato+ myosin heavy chain (MHC)-expressing myotubes when cultured ex vivo (Figure 2A). The relative intensity of the tdTomato signal in fused myotubes appeared to reflect the transduction efficiencies of the sorted populations (as determined by fluorescence-activated cell sorting [FACS]), with more highly transduced populations generating visibly brighter tdTomato+ myotubes (Figure 2A). Consistent with the unperturbed proliferation and differentiation properties of AAV-Cre-transduced tdTomato+ satellite cells, relative quantification of myogenic gene expression indicated equivalent levels of Pax7, Myf5, and Myog expression, with a slight (~25%) reduction in Myod1 in tdTomato+ satellite cells compared to tdTomato– satellite cells (Figure S1D). Finally, we confirmed that AAV-transduced muscle satellite cells retain their myogenic stem cell properties using stringent in vivo transplantation assays. tdTomato+ satellite cells preserved their capacity to engraft, generate tdTomato+ muscle fibers (Figure 2C), and replenish the pool of sublaminar Pax7+ satellite cells (Figure 2B) following isolation and transplantation into preinjured recipient muscle. Collectively, these results confirm retention of key myogenic features and satellite cell functions after in vivo AAV transduction of muscle satellite cells in adult animals.
Figure 2.

AAV-Transduced Muscle Satellite Cells Retain Differentiation and Engraftment Potential

(A) Representative immunofluorescence images of myosin heavy chain (MHC)-stained myotubes differentiated from muscle satellite cells isolated from mice injected with different AAV serotypes at low or high doses. Green, MHC; red, tdTomato; blue, Hoechst. Scale bar, 100 μm. Anc80, Anc80L65.

(B) Representative immunofluorescence images analyzing satellite cell engraftment in tibialis anterior (TA) muscles from mdx mice that either were not transplanted (top row, control) or were transplanted with 50,000 FACS-purified tdTomato+ muscle satellite cells from high-dose AAV8-Cre-injected Ai9 mice (bottom row). TA muscles from 2 transplanted legs and 2 non-transplanted contralateral legs were analyzed 3 weeks post-transplantation. White arrowheads denote Pax7+ tdTomat− muscle satellite cells. White arrows denote Pax7+ tdTomato+ muscle satellite cells. tdTomato+ myofibers are also apparent. Blue, DAPI; white, laminin; green, Pax7; red, tdTomato. Scale bar, 20 μm.

(C) Representative images analyzing muscle fiber engraftment in TA muscles from mdx mice 3 weeks after injection of vehicle only (top row, control) or of muscle satellite cells harvested from mdx;Ai9 mice injected previously with high-dose AAV8-Cre (bottom row). Red, tdTomato; green, wheat germ agglutinin (WGA); blue, DAPI. Scale bar, 100 μm.

See also Figures S1, S2, S5, and S6 and Table S1.

In addition to the satellite cell compartment, we detected tdTomato+ cells in a subset (ranging from 8% to 46%) of muscle-resident Sca-1+ mesenchymal progenitors, which can differentiate to form adipocytes (Figures S1C, S1F, and S1G) (Hettmer et al., 2011; Schulz et al., 2011; Sherwood et al., 2004; Tan et al., 2011), and a subset (ranging from 4% to 33%) of muscle-infiltrating hematopoietic cells (marked by CD45, Mac-1, and/or Ter119) within the muscles of animals injected with different serotypes of AAVCre (Figures S1C and S1E). A separate experiment evaluating systemic administration of AAV6, AAV8, or AAV9 encoding Cre recombinase under the control of the CMV promoter similarly showed transduction of muscle satellite cells (ranging from 6% to 13%) and muscle-localized Sca-1+ progenitors (ranging from 5% to 6%), emphasizing the reproducibility of this in vivo delivery system (Table S1). Finally, we assessed local delivery methods to target muscle progenitors using AAV-Cre. For these studies, we used mdx;Ai9 animals carrying a Pax7-ZsGreen allele to transgenically mark muscle satellite cells (Figure S2A) (Arpke et al., 2013; Bosnakovski et al., 2008; Maesner et al., 2016). We delivered 6 3 × 1011 vg/mouse of AAV-Cre using serotypes 1, 8, or 9 via direct intramuscular injection, and similar to our results with systemic delivery, analysis of skeletal muscles 3 weeks after local injection of AAV-Cre revealed tdTomato expression in a substantial fraction of hematopoietic lineage cells (ranging from 33% to 62%) (Figure S2B), Sca-1+ mesenchymal progenitors (ranging from 62% to 80%) (Figure S2C), and satellite cells (ranging from 10% to 23%) (Figure S2D). Although this genetic approach to mark muscle satellite cells using a Pax7 reporter allele in mdx muscle has been applied previously by our group and others (Filareto et al., 2015; Tabebordbar et al., 2016), we cannot rule out that the Pax7-ZsGreen allele may also mark some myoblast cells in the mdx mouse. Nonetheless, together with the results obtained following systemic AAV delivery, these data demonstrate efficient, dose-dependent, and reproducible transduction and delivery of a genome-modifying enzyme by multiple AAV serotypes into skeletal muscle satellite cells and mesenchymal progenitors within their native niche. To determine whether additional stem cell populations in other anatomical niches might be similarly targeted by systemic AAV administration, we analyzed bone marrow cells harvested from mice injected intravenously with AAV8, AAV9, or Anc80 encoding Cre recombinase (Figure 3A). We observed detectable tdTomato expression within immunophenotypically identified hematopoietic stem cells (HSCs; defined as Lin−Sca-1+c-kit+CD48CD150+) (ranging from 3% to 38%) (Figures 3B and 3C). These results were reproducible using intravenous delivery through either the tail vein or the retro-orbital sinus (Figure 3C) and in a separate experiment in which we injected CMV-driven Cre using AAV6, AAV8, or AAV9-Cre (Table S1). Similar to our results with skeletal muscle satellite cells, bone marrow HSCs were transduced and modified by multiple AAV serotypes with efficiencies that roughly correlated with viral titer (Figure 3C).
Figure 3.

Systemic Injection of AAV-Cre Transduces Functional Hematopoietic Stem Cells

(A) Experimental design. AAVs encoding Cre recombinase were injected into mdx;Ai9 mice carrying the Rosa26-LSL-tdTomato reporter. i.v., intravenous; LSL, LoxP-STOP-LoxP; HSPCs, hematopoietic stem and progenitor cells.

(B) HSC gating strategy (Lin−Sca-1+c-Kit+CD48−CD150+) from bone marrow (BM) and representative flow cytometric analysis of tdTomato expression within HSCs. LSK: Lin−Sca-1+c-Kit+.

(C) Frequency of HSCs expressing tdTomato. Data points from individual mice are overlaid with mean ± SD. n = 4 mice injected with each AAV serotype per group, n = 3 vehicle-injected mice per group.

(D) Percentage of donor chimerism among live peripheral blood cells of primary recipients at monthly intervals post-transplantation. Data points represent mean ± SD. n = 8 primary recipients per group.

(E) Frequency of primary recipients with tdTomato+ multilineage engraftment within the indicated peripheral blood lineages at 16 weeks post-transplant. For each lineage, tdTomato+ engraftment was scored based on satisfaction of two criteria: >1% CD45.2+ cells and >1% tdTomato+ among CD45.2+ cells.

(F–I) Frequency of tdTomato+ cells among live CD45.2+ peripheral blood (F) T cells, (G) B cells, (H) monocytes, and (I) neutrophils in primary recipients at 16 weeks post-transplantation. For each lineage, only recipients exhibiting >1% CD45.2+ cells within that lineage are shown. Individual data points are shown overlaid with mean ± SD. n = 6–8 primary recipients per group.

(J) Percentage of tdTomato+ HSCs among CD45.2+ HSCs in primary recipients at 6 months post-transplantation Individual data points are shown overlaid with mean ± SD. n = 6–8 primary recipients per group.

vg, viral genomes; Anc80, Anc80L65.

See also Figures S3–S6 and Tables S1 and S2.

In addition to HSCs, we investigated the targeting of more committed hematopoietic precursors in the bone marrow by systemically delivered AAV-Cre. tdTomato fluorescence was detected in multiple subsets of bone marrow progenitors, including common myeloid progenitors (CMPs) (Lin−Sca-1c-Kit+CD34+FcγRlow, ranging from 4% to 26%), granulocyte monocyte progenitors (GMPs) (Lin−Sca-1c-Kit+CD34+FcγR+, ranging from 5% to 17%), and megakaryocyte erythroid progenitors (MEPs) (Lin−Sca-1c-Kit+CD34−FcγR−, ranging from 2.5% to 12%) (Figures S3B and S3F–S3H). tdTomato+ cells were also detected among lineage-committed erythroid precursors, including EryA cells (basophilic erythroblasts) (Ter119+CD71+FSChigh, ranging from 23% to 74%), EryB cells (late basophilic and polychromatic erythroblasts) (Ter119+CD71+FSClow, ranging from 9% to 20%), and a small fraction of EryC cells (orthochromatic erythroblasts and reticulocytes) (Ter119+CD71−FSClow, ranging from 0.8% to 2.5%) (Figures S3A and S3C–S3E). Detection of tdTomato+ lineage-restricted hematopoietic progenitors suggests that these cells were either directly transduced by AAV-Cre or that they arose from a more upstream precursor cell within the 14 days after AAV injection. To determine whether the in vivo transduced tdTomato+ HSCs detected by immunophenotyping retained stem cell engraftment, self-renewal, and differentiation potential, we applied rigorous primary and secondary transplantation assays to evaluate the long-term reconstituting function of HSCs transduced by AAV-Cre. We isolated Linlow tdTomato+ bone marrow cells by FACS from AAV-Cre-injected Ai9 mice expressing the CD45.2 allotype and transplanted these cells into lethally irradiated congenic CD45.1+ recipients (Figure 3A). Monthly assessments of peripheral blood chimerism revealed high levels of donor (CD45.2+) cell engraftment among all primary transplant recipients (Figure 3D). In addition, all recipients exhibited enduring contributions of tdTomato+ CD45.2+ donor-derived peripheral blood cells in multiple hematopoietic lineages at 16 weeks post-transplant (Figures 3E–3I). Analysis of tdTomato expression in the bone marrow further revealed the presence of donor-derived CD45.2+ tdTomato+ HSCs in 45 of 46 recipient mice analyzed (Figure 3J). The detection of tdTomato− CD45.2+ donor-derived peripheral blood cells and HSCs in the transplanted recipients likely reflects our decision to perform single, rather than double, sorts to maximize cell yield over cell purity (Figures 3F–3J). We next performed secondary transplantation of bone marrow cells from a subset of previously engrafted primary recipient mice (Figure 3A). Analysis of donor chimerism levels within secondary recipients revealed a range of approximately 20%–80% among peripheral blood cells (Figure 4A). Of these secondary recipients, a majority showed multilineage engraftment by tdTomato+ donor cells at 16 weeks post-transplant (Figures 4B–4F). Moreover, tdTomato+ donor-derived HSCs were detected in the bone marrow of secondary recipients 4–5 months post-transplant (Figure 4G), providing functional evidence that AAV-Cre transduced long-term reconstituting HSCs within the initial injected animals, rather than long-lived oligolineage progenitors (Busch et al., 2015; Sawai et al., 2016; Sun et al., 2014). We also evaluated transduction of HSCs following local injection of AAV serotypes 1, 2, 5, 6, 8, 9, 10, and Anc80, with immunophenotypically (Figures S4A and S4B) and functionally (Figures S4C–S4F) defined tdTomato+ HSCs and tdTomato+ hematopoietic progenitors (Table S2) detected in the bone marrow in multiple AAV-injected animals. Altogether, these data provide strong evidence that local or systemic injection of any of several AAV serotypes encoding a sequence-specific DNA-modifying enzyme can allow for transduction of multiple subsets of endogenous bone marrow stem and progenitor cells, including the most primitive, long-term reconstituting HSCs. This strategy enables irreversible genomic modification, sustained through multiple rounds of hematopoietic regeneration as assayed in transplantation assays, of long-term reconstituting HSCs residing within their native niche.
Figure 4.

AAV-Transduced Hematopoietic Stem Cells Exhibit Long-Term Reconstitution Potential following Secondary Transplantation

(A) Percentage of donor chimerism among live peripheral blood cells in secondary recipients at monthly intervals post-transplantation. Data points represent mean ± SD. n = 6–9 secondary recipients per group.

(B) Frequency of secondary recipients with tdTomato+ multilineage engraftment within indicated peripheral blood lineages at 16 weeks post-transplant. tdTomato+ engraftment was determined using the same criteria as in Figure 3E.

(C–F) Frequency of tdTomato+ cells among live CD45.2+ peripheral blood (C) T cells, (D) B cells, (E) monocytes, and (F) neutrophils in secondary recipients at 16 weeks post-transplantation. For each lineage, only recipients exhibiting >1% CD45.2+ cells within that lineage are shown. Individual data points are shown overlaid with mean ± SD. n = 6–9 mice per group.

(G) Percentage of tdTomato+ HSCs among CD45.2+ HSCs in secondary recipients at 4–5 months post-transplantation. Individual data points are shown overlaid with mean ± SD. n = 6–9 secondary recipients per group.

vg, viral genomes; Anc80, Anc80L65.

See also Figures S5 and S6 and Table S1.

Lastly, to extend our analysis beyond skeletal muscle and hematopoietic tissues, we collected skin tissue from a subset of animals injected with high-dose AAV8-Cre and evaluated whether systemic delivery of AAV might also transduce discrete precursor cell populations within this well-defined anatomical compartment. We observed tdTomato fluorescence within hematopoietic cells localized in the skin (CD45+, ranging from 7% to 22%) (Figures S5A, S5B, and S5H), as expected from our bone marrow analyses, and in dermal fibroblasts (Figure S5C) marked by CD140a expression (also known as Pdgfra) (Collins et al., 2011). Using flow cytometry, we evaluated tdTomato expression within four populations of CD45CD140a+ dermal fibroblasts, distinguishable by combinatorial expression of CD24 and Sca-1 (Figure S5A) (Zhang et al., 2016). tdTomato fluorescence was detected in each of these dermal subsets, including adipocyte precursors (CD24+Sca-1+, ranging from 8% to 26%) (Figures S5E and S5H), dermal papilla cells (CD24Sca-1−, ranging from 13% to 20%) (Figures S5F and S5H), and two populations of dermal fibroblasts (CD24+Sca-1−, ranging from 2% to 4%, and CD24Sca-1+, ranging from 16% to 27%) (Figures S5D, S5G, and S5H). Thus, systemically administered AAVs target multiple immunophenotypically distinct cell populations in mammalian skin, including precursors of dermal adipose and connective tissue that support epidermal homeostasis and regeneration (reviewed in Driskell et al., 2014). In concert with the analyses of skeletal muscle and bone marrow cell populations presented earlier, these data demonstrate the utility of systemic AAV administration to accomplish direct genome modification in multiple adult cell lineages and within anatomically distinct tissue compartments.

DISCUSSION

In this study, we document efficient delivery of DNA-modifying enzymes by AAVs to enable permanent genome modifications within tissue stem cell populations in vivo. This highly programmable approach demonstrates effectiveness in three lineages of stem and progenitor cells (myogenic, mesenchymal, and hematopoietic), and in three distinct anatomical niches (skeletal muscle, bone marrow, and skin) and is highly likely to be generalizable to other DNA-modifying enzymes, including CRISPR/Cas-based systems, as well as additional regenerative cell types in other organ systems and species. A distinct advantage of our approach is that it allows for manipulation of stem cell genomes in situ without requiring cell isolation, culture, or subsequent transplantation, thereby preserving native regulatory interactions and extant stem cell properties. This system also mitigates challenges and toxicities associated with ex vivo stem cell modification and subsequent transplantation, such as the failure of in vitro conditions to maintain robust stem cell function, the necessary use of ablative conditioning, and the unavoidable risk of graft failure (Morgan et al., 2017). We anticipate that the opportunity to directly transduce endogenous tissue stem cells with DNA-modifying enzymes will be of direct and specific relevance for ongoing academic and commercial efforts aimed at therapeutic gene editing in stem cells, all of which have, to this point, considered it necessary to purify stem cells for ex vivo modification and re-infusion (Morgan et al., 2017). A key finding of our work is that AAVs can efficiently transduce multiple adult tissue stem and progenitor cell types in vivo. These results contrast to some degree with previous reports concluding that AAVs do not effectively transduce skeletal muscle satellite cells in adult animals following local or systemic administration (Arnett et al., 2014; Chamberlain and Chamberlain, 2017; Chang et al., 2016). In one of these prior studies (Arnett et al., 2014), systemic administration of AAV6 encoding CMV-driven EGFP into 4-week-old mice did not result in detectable Pax7+/EGFP+ satellite cells 4 weeks after injection. Meanwhile, intramuscular administration of AAV6 or AAV9 encoding CMV-EGFP into 8-week-old mice resulted in no detectable Pax7+/EGFP+ satellite cells 2 weeks post-injection, while similar administration of AAV8-CMV-EGFP resulted in a minority (<5%) of the satellite cell compartment expressing EGFP (Arnett et al., 2014). One potential explanation for these discrepancies could be that our study used a more sensitive Cre/lox-driven system to robustly drive tdTomato fluorescence from the mouse genome in the AAV-transduced cells and their progeny, as opposed to monitoring expression of the introduced EGFP protein encoded by the AAV genome, which may exhibit transient expression. Ultimately, our results demonstrate that AAVs are capable of transducing satellite cells at efficiencies required for therapeutic gene editing. Our approach, in which cells are permanently modified following AAV transduction, also allowed us to detect delivery of AAV cargo to non-myogenic stem and progenitor cells, including bone marrow localized HSCs. While detection in recent years of naturally occurring clade F AAV variants in healthy human CD34+ hematopoietic cells (termed AAVHSC) (Smith et al., 2014) suggests the existence of AAVs that can transduce such cells, our report demonstrates the efficient in vivo transduction of these cells by recombinant AAV vectors and confirms the preservation of HSC function post-transduction using immunophenotyping and transplantation assays. Still, it will be important in future studies to investigate whether AAV transduction influences global gene expression levels within stem cell populations and whether AAVs preferentially transduce certain subsets of tissue stem cells over others. In addition to targeting muscle satellite cells and HSCs, our finding that AAVs transduce mesenchymal progenitor cells in vivo has important potential applications for this cell population. Mesenchymal progenitors are well-established regulators of myogenesis (Joe et al., 2010), and they represent a major source of fibrosis and adipose deposition in aging and muscle disease (Joe et al., 2010; Lounev et al., 2009; Uezumi et al., 2010, 2014). Thus, these cells are potential targets for anti-fibrotic interventions or for manipulations that will promote their promyogenic activities. In addition, because little is known about the mechanisms that govern the actions of these cells, including regulators of their proliferation, differentiation, or role in trophic support for muscle, we anticipate that targeting this population of cells could be useful for revealing such mechanisms and for advancing our understanding of muscle maintenance and regeneration. This in turn could lead to therapeutic interventions that mitigate the detrimental impacts of these cells and promote their pro-myogenic activity. Given the large number of studies that have used Cre models to manipulate gene expression in these cells for such purposes (Heredia et al., 2013; Kopinke et al., 2017; Lees-Shepard et al., 2018; Roberts et al., 2013), we anticipate that our system provides an alternative and in some cases more facile system for gene manipulation, which will be of interest to researchers seeking to uncover the biology of this unique class of tissue progenitors. Our current and prior efforts to target tissue stem and progenitor cells using AAV-mediated delivery of Cre or CRISPR complexes (Tabebordbar et al., 2016) establish a broadly accessible platform for in vivo delivery of genome-modifying enzymes. One key difference between using AAVs to deliver Cre recombinase and using CRISPR is whether a single- or dual-vector system is necessary to deliver the desired components. In this study, we delivered Cre-recombinase via a single AAV, such that any cell that received the AAV cargo would have sufficient genetic material to execute Cre-mediated genome modification. However, extending this approach to more complex CRISPR/Cas-based systems involving Cas9 and multiple guide RNAs may require co-transduction with multiple AAV vectors due to the limited ~ 4.7-kb packaging capacity of AAVs. In our previously published study (Tabebordbar et al., 2016), we co-administered two AAVs to perform in vivo CRISPR editing: one AAV encoding CMV-driven saCas9 and a second AAV encoding two U6-driven guide RNAs targeting the locus of interest (Tabebordbar et al., 2016). While we did observe CRISPR-mediated targeting using this dual-vector system, future efforts to harness minimal stem cell-specific promoters could reduce this approach to a single-vector system, which may improve editing efficiency. An important consideration regarding the potential applicability of AAV-mediated transduction of tissue stem cells to humans is the impact of an induced immune response to repeated AAV dosing. This issue has been extensively reviewed elsewhere, and it has not precluded clinical testing of AAV-based therapeutics for various diseases in human populations (Colella et al., 2017; Mingozzi and High, 2011). An additional consideration for translating these findings to humans is the dose of AAV necessary to achieve sufficient transduction of tissue stem and progenitor cells, because a report suggested that high-dose systemic administration of AAV can induce liver toxicity (Hinderer et al., 2018). The AAV doses used in our studies reported here are comparable with those used in many therapeutically oriented preclinical studies in mice (Bengtsson et al., 2017; Chamberlain and Chamberlain, 2017; Long et al., 2016; Nelson et al., 2016; Tabebordbar et al., 2016; Yang et al., 2016) and canines (Amoasii et al., 2018), as well as those used in successful human trials for spinal muscular atrophy gene therapy (Mendell et al., 2017). While we did not observe overt signs of liver toxicity in the mice in our study (Figure S6), we acknowledge that this issue remains an important consideration for future development of AAV-based therapeutics. The in vivo AAV system described here also overcomes critical technological and practical limitations associated with current experimental systems for interrogating stem cell function. In particular, commonly employed transgenic and gene knockout-based models frequently require complex breeding schemes to introduce multiple alleles, necessitating significant investment of both time and resources. Such approaches become even more challenging when assessing gene-targeting effects in aged animals, in non-standard genetic backgrounds, or in a combinatorial fashion. In contrast, AAV-mediated delivery of programmable DNA-modifying enzymes can be applied across a range of animal ages and strains and to various individual and multiplexed genetic loci. In addition, the AAV-Cre strategy used here provides an alternative and complementary approach to tamoxifen-inducible Cre- (CreER) dependent gene activation or inactivation strategies that additionally enables researchers to bypass the potentially confounding effects of hormone administration (Patel et al., 2017). This technology is therefore likely to have important applications in accelerating the pace at which gene functions and interactions can be interrogated in vivo and in tissue progenitors. Our results also indicate that multiple AAV serotypes exhibit tropism for tissue stem and progenitor cells, establishing a foundation for the development of more specific and selective systems, including identification of AAV capsid variants that transduce particular stem cell populations and of naturally occurring or synthetic gene regulatory elements that restrict expression of AAV-encoded genes to only these cell types. Ultimately, this system may be adapted to enable rapid and direct in vivo screening of candidate and unknown gene targets suspected to specifically influence stem cell phenotypes.

STAR★METHODS

CONTACT FOR REAGENT AND RESOURCE SHARING

Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Amy Wagers (amy_wagers@harvard.edu).

EXPERIMENTAL MODEL AND SUBJECT DETAILS

Mice

Mice were housed at the animal facility at the Harvard University/Faculty of Arts and Sciences Biological Research Infrastructure, which is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care (AALAC). All procedures were performed under protocols approved by the Institutional Animal Care and Use Committee (IACUC). Mice were housed in standard ventilated racks at a maximum density of 5 mice per cage. Room temperature was maintained at 22°C ± 1°C with 30%–70% humidity. Mice were kept on a 12-hour light/dark cycle and provided food and water ad libitum. Breeder mice were kept on irradiated PicoLab Mouse Diet 20 5058 (LabDiet, St. Louis, MO), and non-breeder mice were kept on irradiated LabDiet Prolab Isopro RMH 3000 5P75 (LabDiet, St. Louis, MO). Cages were filled with 1/4 inch Anderson’s Bed o Cob bedding (The Andersons, Inc., Maumee, OH) and each contained one nestlet (2 × 2” compressed cotton square, Ancare, Bellmore, NY) and one red mouse hut (certified poly-carbonate; 3 3/4” wide x 1 7/8” tall x 3” long, BioServ, Flemington, NJ). Cage changes were performed at least every 14 days, and more frequently if necessary. Animal health surveillance was performed quarterly by PCR testing of index animals and through swabs from rack plenums. C57BL/10ScSn-Dmd/J (mdx; C57BL/10ScSnJ background), B6;129S6-Gt(ROSA)26Sortm9(CAG-tdTomato)Hze/J (Ai9; B6/129S6 background), B6.SJL-Ptprc Pepc/BoyJ (CD45.1; C57BL/6J background), B6.Cg-Tg(Pax7-ZsGreen)1Kyba/J (Pax7-ZsGreen; C57BL/6J background) and C57BL/6J mouse strains were used for this study. To generate mdx; Ai9 homozygous mice, mdx mice were bred to Ai9 homozygous mice. mdx; Ai9 mice were bred with Pax7-Zsgreen mice to generate mdx;Ai9;Pax7-Zsgreen animals. The Pax7-zsGreen allele has been extensively validated in multiple studies to mark skeletal muscle satellite cells by flow cytometry (Arpke et al., 2013; Bosnakovski et al., 2008; Maesner et al., 2016). Animals were randomly assigned to experimental and control groups. All mice used for experiments were immunocompetent. For intrafemoral injection experiments, 6–9-month-old male and female Ai9 homozygous animals were injected with AAV-Cre or vehicle. 6 weeks post injection, mice were euthanized and hematopoietic cells were isolated for flow cytometry analysis and FACS. For systemic injection experiments, 6-week-old male mdx; Ai9 homozygous mice were injected with AAV-Cre or vehicle via tail vein or retroorbital injection. 2 weeks post injection, mice were harvested and liver, skeletal muscle and hematopoietic cells were collected for analysis. Histopathological assessment of hematoxylin & eosin stained sections of liver tissue from a subset of AAV-Cre and control-injected animals, performed in a blinded fashion by a skilled mouse pathologist (R. Bronson), did not reveal signs of tissue pathology (Figure S6B). For hematopoietic cell transplantation experiments, bone marrow cells from homozygous CD45.1 mice were collected and depleted for Sca-1 to use for helper marrow. Homozygous CD45.1 mice were used as recipients for primary and secondary hematopoietic stem and progenitor cell (HSPC) transplants. Following HSPC transplantation, recipient animals were kept on antibiotic water containing 0.67mg/mL Sulfadiazine Trimethoprim for 4 weeks post-transplant.

METHOD DETAILS

AAV selection and production

Multiple AAV serotypes were used, with a particular emphasis on serotypes with broad biodistribution (Zincarelli et al., 2008). For the intrafemoral injection experiments, we evaluated a panel of 7 AAV serotypes (1, 2, 5, 6, 8, 9 and 10) and identified those that targeted HSCs with the greatest efficiency. A smaller panel of 3 AAV serotypes (1, 8, 9) was used for the intramuscular injection experiments. We did not move forward with AAV1 for the systemic injection experiments because it is known to induce a greater inflammatory response than the other AAV serotypes (Lu and Song, 2009), which may limit its usefulness in preclinical testing or in disease modeling applications. The selection of AAV serotypes used for the systemic injection experiments was based on our previous work showing that AAV9 effectively transduces muscle satellite cells in vivo (Tabebordbar et al., 2016). For our preliminary analyses (Table S1), we administered AAV9 via tail vein injection along with two additional serotypes: AAV6 and AAV8, both of which have been shown to target skeletal muscle following in vivo delivery (Blankinship et al., 2004; Wang et al., 2005). Building off of these results, we next performed systemic tail vein administration of AAV8 and AAV9, and also included Anc80L65, an ancestral AAV with robust tropism for skeletal muscle and other organs (Zinn et al., 2015), to express Cre recombinase downstream of CMV promoter and a chimeric intron. For systemic retro-orbital AAV administration, we focused particularly on Anc80 and AAV8, both of which exhibited higher targeting efficiency for blood and muscle stem cells in the tail vein injection experiments. Furthermore, we included two doses of AAV8 to assess if injecting a higher concentration of AAV resulted in a greater transduction efficiency. For systemic injection experiments using AAV8, AAV9 and Anc80L65, AAV production was performed by the Gene Transfer Vector Core (GTVC) at the Grousbeck Gene Therapy Center at the Schepens Eye Research Institute and Massachusetts Eye and Ear as described previously (Lock et al., 2010; Zinn et al., 2015). For intrafemoral injection experiments using AAV serotypes 1, 2, 5, 6, 8, 9 and 10, AAVs were produced at the University of Pennsylvania Penn Vector Core. For the systemic injection experiment using AAV6, AAV8, and AAV9, AAV production was done by the UMASS medical school vector core.

Muscle stem cell isolation and in vitro differentiation

Muscle stem cell isolation from mdx;Ai9 mice systemically injected with AAV-Cre was performed as previously described (Cerletti et al., 2008; Sherwood et al., 2004). Briefly, tibialis anterior (TA), gastrocnemius, triceps, quadriceps and abdominal muscles were digested with collagenase and dispase and myofiber-associated cells were isolated by centrifugation. The cells were stained with an antibody mix (APC-Cy7 anti-CD45 (1:200), APC-Cy7 anti-CD11b (1:200), APC-Cy7 anti-TER119 (1:200), APC anti-Sca-1 (1:200), FITC anti-CD29 (β1-integrin) (1:100), Biotin anti-CD184 (CXCR4) (1:100)) for 30 min on ice, followed by a secondary staining with Streptavidin-PE-Cy7 (1:100) for 15 minutes on ice. Propidium iodide (PI) and calcein blue were used to discriminate dead and live cells, respectively. CD45CD11b (Mac-1)− Ter119Sca-1− β1-integrin+ CXCR4+ cells were isolated by FACS as muscle satellite cells;Sca-1+, CD45CD11bTer119− cells were isolated as mesenchymal progenitors; Lineage (CD45, CD11b, Ter119)+ cells were gated as Lin+ blood cells for analysis. For in vitro expansion of satellite cells isolated from AAV-transduced muscles, satellite cells were seeded on collagen/laminin-coated plates in F10 containing 20% donor horse serum, 1% penicillin-streptomycin, and 1% glutamax. 5 ng/ml bFGF was added to the medium daily. Media was refreshed every other day. After 5 days, satellite cells were harvested, cell numbers were counted and cells were re-plated in multiple wells of a 96 well plate for differentiation. The next day, media was changed to DMEM containing 2% donor horse serum and 1% penicillin-streptomycin. Myotubes were fixed with 4% paraformalde-hyde after 60 or 72 hours in differentiation media. Muscle stem cell isolation from AAV-Cre injected TA muscles of mdx;Pax7-ZsGreen+/−;Ai9 mice was performed as previously described (Tabebordbar et al., 2016). Briefly, individual TA muscles were separately minced using scissors followed by two digestion steps in collagenase and dispase. Muscles were triturated in between and after the digestion steps. The homogenate was centrifuged, re-suspended, and filtered before another round of centrifugation and resuspension. Cells were stained with an antibody mix of APC anti-Sca-1 (1:200), APC-Cy7 anti-CD45 (1:200), APC-Cy7 anti-CD11b (Mac-1) (1:200), and APC-Cy7 anti-Ter119 (1:200). Propidium iodide (PI) and calcein blue were used to discriminate dead and live cells, respectively. CD45CD11b (Mac-1)−Ter119Sca-1Pax7-ZsGreen+ cells were isolated as muscle satellite cells. This transgenic line has been used previously in multiple studies for the identification and isolation of muscle satellite cells, with extensive validation studies performed by multiple groups (Arpke et al., 2013; Bosnakovski et al., 2008; Maesner et al., 2016), including a study from our lab which specifically addressed the issue of satellite cell identification by flow cytometry (Maesner et al., 2016).

Muscle Sca-1+ progenitor isolation and adipogenic differentiation

Sca-1+ progenitor (Sca-1+, CD45CD11b (Mac-1)− Ter119−) isolation from mdx;Ai9 mice systemically injected with AAV-Cre was performed as previously described (Hettmer et al., 2011; Schulz et al., 2011; Tan et al., 2011). Briefly, freshly sorted Sca-1+ cells were plated in collagen/laminin-coated 96 well plates and expanded for 8 days in growth medium (F10 containing 20% donor horse serum, 1% penicillin-streptomycin, and 1% glutamax) and provided with 5 ng of bFGF daily with fresh media changes every other day. After 8 days in growth medium, cells were switched to Adipogenic Induction Media (DMEM containing 10% FBS, 1% penicillin/streptomycin, 1 mM Dexamethasone, 100 nM Insulin, 1 mM Rosiglitazone and 0.5 mM 3-isobutyl-1-methylxanthine) for 2 days and then switched to Adipogenic Differentiation Media (DMEM containing 10% FBS, 1% penicillin/streptomycin and 100 nM Insulin) for an additional 8 days. Media was changed every other day, and cells were stained with BODIPY™ 493/503 as per manufacturer’s instructions.

Muscle satellite cell transplantation

One day before transplantation, 25 μL of 10 μM Cardiotoxin gamma from Naja pallida was injected to the tibialis anterior (TA) muscles of anesthetized 7–8 week-old male mdx recipient mice. Up to 50,000 single-sorted tdTomato+ satellite cells or vehicle (staining media) alone was injected into the pre-injured tibialis anterior (TA) muscles. The injected TA muscles were harvested 3 weeks post-transplantation for cryosectioning and fluorescence detection.

Immunofluorescence

For myosin heavy chain (MHC) staining of in vitro differentiated myotubes, myotubes were permeabilized using 0.5% Triton X-100 for 15 minutes at room temperature, washed 2 × 5 minutes with DPBS, and blocked with 5% Normal Goat Serum, 2% BSA, 2% protein concentrate (from M.O.M.™ Basic Kit), and 0.1% Tween-20 for 1 hour at room temperature. Cells were washed 2 × 5 minutes with DPBS, incubated with anti-skeletal myosin type II (fast-twitch) (1:200) and anti-skeletal myosin type I (slow-twitch) (1:100) at 4°C overnight, washed 3 × 5 minutes with DPBS, and incubated with goat anti-mouse IgG Alexa 488 conjugate secondary antibody (1:250). After washing for 3 × 5 minutes with DPBS, cells were stained with 10 mg/ml Hoechst. For staining of skeletal muscle tissue, tibialis anterior (TA) muscles were dissected and immediately fixed in 1% PFA for one hour at room temperature, washed with DPBS, and cryopreserved in 30% sucrose at 4°C overnight. Tissues were then embedded in O.C.T. compound, cryopreserved in super-cooled isopentane, and sectioned using a Leica CM1860 cryostat (Leica Biosystems). Sections were post-fixed in 2% PFA for 5 minutes, incubated in 0.1 M glycine buffer for 5 minutes, and permeabilized in 0.3% Triton X-100/DPBS for 20 minutes. Sections were blocked with 10% M.O.M. IgG blocking reagent, and further blocked with 1% M.O.M. IgG blocking reagent, 3% BSA, 8% M.O.M protein concentrate, and 5% Normal Goat Serum. Primary antibody staining was performed using anti-Pax7 (15 μg/mL) and Rabbit anti-laminin (1:200) at 4°C overnight. The following day, sections were washed and stained with goat anti-mouse IgG1 Alexa Fluor 488 (1:250) and goat anti-rabbit IgG H+L Alexa Fluor 647 (1:250). Slides were mounted with VectashieldHardSet Antifade Mounting Medium containing DAPI, and images were captured using a Zeiss LSM 880 inverted confocal microscope. For quantification of Pax7+ tdTomato+ sublaminar cells by immunofluorescence analysis, 60–80 Pax7+ sublaminar cells were quantified per animal among 10 0.181mm2 fields. For staining of skin tissue, dorsal skin samples were fixed for 15 minutes using 4% PFA at room temperature, washed extensively with PBS, immersed in 30% sucrose overnight at 4°C and embedded in O.C.T. 30 μM sections were blocked for 1–2 hours (5% Donkey serum, 1% BSA, 2% Cold water fish gelatin in 0.3% Triton in PBS), incubated with anti-CD140a (1:200) and anti-RFP (1:1000) antibodies overnight at 4°C and incubated for 2–4 hours at room temperature with Donkey anti-goat IgG Alexa 488 (1:400) or Donkey anti-rabbit Cy3 (1:400) secondary antibodies. DAPI was used for counterstaining.

RNA isolation, cDNA synthesis and Real-time PCR

Satellite cells were sorted directly into Trizol LS and stored at −80°C. Total RNA was isolated according to manufacturer’s instructions. cDNA was synthesized using the SuperScript IV VILO Master Mix with ezDNase Enzyme kit. Quantitative PCR was performed on a QuantStudio 6 Flex Real-Time PCR system. The following TaqMan assays were used to evaluate relative gene expression: Pax7 (Mm01354484_m1), Myf5 (Mm00435125_m1), Myod1 (Mm00440387_m1), Myog (Mm00446194_m1) and Gapdh (Mm99999915_g1).

HSPC Isolation and Flow Cytometry Analysis/FACS

Bone marrow cells were flushed from all 4 long bones (2 femurs and 2 tibias) with a 21-gauge needle into staining media (HBSS containing 2%FBS), resuspended, and filtered through a 40 μm cell strainer. Cells were pelleted and subjected to ACK lysis for 5 minutes on ice (except when analyzing erythroid precursor cells), re-filtered through a 40 μm strainer, and washed with staining media. To identify HSCs from AAV-injected mice, cells were stained with the following antibodies for 45 minutes on ice: CD3-ef450 or CD3-biotin (1:100), B220-ef450 or B220-biotin (1:200), Ter119-ef450 or Ter119-biotin (1:100), Gr-1-ef450 or Gr-1-biotin (1:400), CD11b-APC-Cy7 (1:200), c-Kit-APC (1:200), Sca-1-PE-Cy7 (1:200), CD48-FITC (1:200), and CD150-BV510 (1:50). When biotinylated antibodies were used, cells were washed and incubated with Streptavidin-ef450 (1:200) for 30 minutes on ice. To identify HSCs from transplanted mice, cells were stained with the following antibodies for 45 minutes on ice: Lineage Cocktail-Pacific Blue (1:20), c-Kit-APC (1:200), Sca-1-PE-Cy7 (1:200), CD48-FITC (1:200), CD150-BV510 (1:50), and CD45.2-AF700 (1:100). To identify myeloid progenitors from AAV-injected mice, cells were stained with the following antibodies for 60 minutes on ice: CD3-ef450 or CD3-biotin (1:100), B220-ef450 or B220-biotin (1:200), Ter119-ef450 or Ter119-biotin (1:100), Gr-1-ef450 or Gr-1-biotin (1:400), CD11b-APC-Cy7 (1:200), c-Kit-APC (1:200), Sca-1-PE-Cy7 (1:200), CD34-FITC (1:25) and CD16/CD32-AF700 (1:100). For biotinylated antibodies, cells were washed and incubated with Streptavidin-ef450 (1:200) for 30 minutes on ice. To identify erythroid precursor cells from AAV-injected mice, cells were stained with the following antibodies for 30 minutes on ice: CD71-FITC (1:200) and Ter119-APC (1:200). For all HSPC staining panels, cells were washed after antibody/streptavidin incubation and resuspended in staining media, and Sytox Blue (1:1,000) was added immediately prior to FACS to mark dead cells. Cells were analyzed on a BD LSR II flow cytometer and sorting was performed on a BD FACS Aria II. Data analysis was performed using BD FACS Diva and FlowJo software.

HSPC Transplantation

For each animal, Linlow tdTomato+ live bone marrow cells were singly sorted from bone marrow into staining media containing 10% FBS. As CD11b (Mac-1) expression has been reported to increase on HSCs in certain contexts of inflammation or stress (Randall and Weissman, 1997), we did not sort tdTomato+ bone marrow cells for transplantation on the basis of CD11b expression, in case this marker might be altered in its expression following AAV administration. Cells from each donor animal were combined with 6×105 Sca-1-depleted radioprotective CD45.1 helper bone marrow cells and injected intravenously into two lethally irradiated (950 rads, split dose) anesthetized CD45.1 recipient animals (3×105 helper marrow cells per recipient). Cells were injected with a 28-gauge insulin syringe into the retroorbital sinus. Sca-1 depletion was performed by staining ACK-lysed CD45.1 bone marrow cells with Sca-1-APC (1:200) for 10 minutes on ice, washing and incubating with anti-APC microbeads for 20 minutes on ice. Cells were washed and depleted using the AutoMACS Separator (Depletes program). Depletion efficiency was confirmed by flow cytometry analysis. 7-AAD (1:20) was used as a viability dye and was added to cells immediately prior to analysis.

Peripheral blood collection and flow cytometry analysis

Donor chimerism and tdTomato analysis was performed from peripheral blood samples of primary and secondary transplant recipients at 4, 8, 12 and 16 weeks post-transplant. Peripheral blood was collected via the tail vein into a 1.5mL tube containing 100 μL of PBS/10mM EDTA and stored on ice. 1mL of 2%Dextran/PBS was added to the samples, mixed and incubated at 37°C for 30 minutes to sediment red blood cells. The remaining cells were washed and subjected to ACK lysis for 5 minutes on ice. Cells were washed, filtered through a 40 μm cell strainer, and resuspended in HBSS/2% FBS/10mM EDTA containing anti-CD16/CD32 (1:50) for 5 minutes on ice. Cells were stained with the following antibodies for 30 minutes on ice: CD3-PE-Cy7 (1:65), B220-FITC (1:100), CD11b-APC-Cy7 (1:200), Gr-1-Biotin (1:400), CD45.1-Pacific Blue (1:100) and CD45.2-APC (1:100). Cells were washed and stained with Streptavidin-Pacific Orange (1:500) for 30 minutes on ice. Cells were washed, resuspended in HBSS/2% FBS/10mM EDTA, and 7-AAD (1:20) was added immediately prior to analysis. Cells were analyzed on a BD LSR II flow cytometer, and data analysis was performed using BD FACS Diva and FlowJo software.

Liver histology

Liver tissue was harvested and fixed in 4% paraformaldehyde for approximately 24 hours, then transferred to 70% ethanol. Samples were submitted to the Rodent Histopathology Core at the Dana-Farber/Harvard Cancer Center, embedded in paraffin, sectioned and stained with hematoxylin and eosin. Slides were analyzed and scored for histopathology by a Rodent Histopathologist in a blinded manner.

Skin cell isolation and flow cytometry analysis

Mouse back skin was dissected. Dissected skin (dermis facing down) was incubated in 0.25% Collagenase in HBSS for 40–60 minutes at 37°C. The dermis was then scraped using a surgical scalpel. Collected cells were centrifuged for 8 minutes at 350xg at 4°C.Single cell suspensions were obtained by incubation with trypsin-EDTA at 37°C for 10 minutes and filtering through 70 μM and 40 μM filters. Single cell suspensions were then centrifuged for 8 minutes at 350xg at 4°C, re-suspended in 5% FBS in PBS and stained for 30 minutes. The following antibodies were used: CD45-ef450 (1:250), CD140a-biotin (1:250), Streptavidin-APC (1:500), CD24-FITC (1:200), and Sca-1-PerCP-Cy5.5 (1:1000). DAPI was used to exclude dead cells. Blood-lineage cells were gated as CD45+. Dermal fibroblasts were gated as CD45CD140a+, then further divided based on CD24 and Sca-1 expression. Cells were analyzed on a BD FACS Aria II, and data analysis was performed using BD FACS Diva and FlowJo software.

QUANTIFICATION AND STATISTICAL ANALYSIS

GraphPad Prism software was used to perform statistical analyses. For the real-time PCR analysis, paired t test was used to calculate statistical significance between the two groups. Repeated-measures ANOVA was used for longitudinal analyses of donor chimerism. Results with a p value < 0.05 were considered statistically significant. Information on replicates is reported in the figure legends.

KEY RESOURCES TABLE

REAGENT or RESOURCESOURCEIDENTIFIER
Antibodies
Armenian Hamster Anti-Mouse CD3e ePluor® 450Thermo Fisher ScientificCat #48-0031-80; RRID: AB_10733280
Rat Anti-Human/Mouse CD45R (B220) eFluor® 450Thermo Fisher ScientificCat #48-0452-80; RRID: AB_1548763
Rat Anti-Mouse TER-119 eFluor® 450Thermo Fisher ScientificCat #48-5921-80; RRID: AB_1518809
Rat Anti-Mouse Ly-6G/Ly-6C (Gr-1) eFluor® 450Thermo Fisher ScientificCat #48-5931-82; RRID: AB_1548788
Rat Anti-Mouse/Human CD11b APC-Cy7BiolegendCat#101226; RRID: AB_830642
Rat Anti-Mouse Ly-6A/E (Sca-1) PE-Cy7BiolegendCat#108114; RRID: AB_493596
Rat Anti-Mouse CD117 (c-Kit) APCBD BiosciencesCat #553356; RRID: AB_398536
Armenian Hamster Anti-Mouse CD48 PITCBiolegendCat#103404; RRID: AB_313019
Rat Anti-Mouse CD150 (SLAM) Brilliant Violet 510BiolegendCat#115929; RRID: AB_2562189
Rat Anti-Mouse CD16/CD32 (Mouse BD PC Block)BD BiosciencesCat #553142; RRID: AB_394657
Rat Anti-Mouse CD3 antibody PE-Cy7BiolegendCat#100220; RRID: AB_1732057
Rat Anti-Human/Mouse CD45R (B220) PITCThermo Fisher ScientificCat #11-0452-85; RRID: AB_465055
Rat Anti-Mouse Ly-6G/Ly-6C (Gr-1)BiotinBiolegendCat #108404; RRID: AB_313369
Mouse Anti-Mouse CD45.1 Pacific BlueBiolegendCat #110722; RRID: AB_492866
Mouse Anti-Mouse CD45.2 APCBiolegendCat#109814; RRID: AB_389211
Rat Anti-Mouse Lineage Cocktail Pacific BlueBiolegendCat#133310; RRID: AB_11150779
Mouse Anti-Mouse CD45.2 Alexa Fluor® 700BiolegendCat #109822; RRID: AB_493731
Rat Anti-Mouse TER-119 APCBiolegendCat#116212; RRID: AB_313713
Rat Anti-Mouse CD71 PITCBD BiosciencesCat #553266; RRID: AB_394743
Armenian Hamster Anti-Mouse CD3e BiotinBiolegendCat#100304; RRID: AB_312669
Rat Anti-Human/Mouse CD45R (B220) BiotinThermo Fisher ScientificCat #13-0452-82; RRID: AB_466449
Rat Anti-Mouse CD19 BiotinBiolegendCat #115504; RRID: AB_313639
Rat Anti-Mouse TER-119 BiotinBiolegendCat#116204; RRID: AB_313705
Rat Anti-Mouse Ly-6G/Ly-6C (Gr-1)BiotinBiolegendCat #108404; RRID: AB_313369
eBioscience Streptavidin ePluor450Thermo Fisher ScientificCat #48-4317-82; RRID: AB_10359737
Rat Anti-Mouse CD34 PITCThermo Fisher ScientificCat #11-0341-85; RRID: AB_465022
Rat Anti-Mouse CD16/CD32 Alexa Fluor® 700Thermo Fisher ScientificCat #56-0161-82; RRID: AB_493994
Rat Anti-Mouse/Human CD11b APCBiolegendCat#101212; RRID: AB_312795
Rat Anti-Mouse Ly-6G Pacific BlueBiolegendCat#127612; RRID: AB_2251161
Rat Anti-Mouse Ly-6A/E (Sca-1) APCBiolegendCat#108112; RRID: AB_313349
Rat Anti-Mouse CD45 APC-Cy7BD BiosciencesCat #557659; RRID: AB_396774
Rat Anti-Mouse CD11b APC-Cy7BD BiosciencesCat #557657; RRID: AB_396772
Rat Anti-Mouse Ter-119 APC-Cy7BiolegendCat#116223; RRID: AB_2137788
Rat Anti-Mouse Ly-6A/E (Sca-1) APCThermo Fisher ScientificCat #17-5981-82; RRID: AB_469487
Hamster Anti-Mouse/Rat CD29 (β1-integrin) PITCBiolegendCat#102206; RRID: AB_312883
Rat Anti-Mouse CD184 (CXCR4) BiotinBD BiosciencesCat #551968; RRID: AB_394307
Anti-Myosin (Skeletal, Past) antibodyMillipore SigmaCat #M4276; RRID: AB_477190
Anti-Myosin (Skeletal, Slow) antibodyMillipore SigmaCat #M8421; RRID: AB_477248
Mouse Anti-Pax7 antibodyDevelopmental Studies Hybridoma BankCat #AB_528428; RRID: AB_528428
Rabbit Anti-Laminin antibodyMillipore SigmaCat #AB2034; RRID: AB_91209
Goat Anti-mouse IgG1, Alexa Fluor 488Thermo Fisher ScientificCat #A-21121; RRID: AB_2535764
Goat Anti-rabbit IgG (H+L), Alexa Fluor 647Thermo Fisher ScientificCat #A-21244; RRID: AB_2535812
Mouse on Mouse (M.O.M.™) Basic KitVector LaboratoriesCat #BMK-2202; RRID: AB_2336833
Streptavidin-PE-Cy7BD BiosciencesCat #557598; RRID: AB_I0049577
CD45-ePluor450Thermo Fisher ScientificCat #48-0451-82; RRID: AB_1518806
CD140a (PDGPRa) -biotinThermo Fisher ScientificCat #13-1401-82; RRID: AB_466607
CD24-PITCThermo Fisher ScientificCat #11-0242-82; RRID: AB_464988
Sca-1-PerCP-Cy5.5Thermo Fisher ScientificCat #45-5981-82; RRID: AB_914372
Goat anti-mouse CD140a (PDGPRa)R&D systemsCat #AP1062-SP; RRID: AB_2236897
Rabbit anti-RPPRocklandCat #600-401-379; RRID: AB_2209751
Alexa Fluor 488 Affinipure Donkey anti-goat IgGJackson ImmunoresearchCat #705-545-147; RRID: AB_2336933
Cy ™ 3 Affinipure Donkey anti-rabbit IgGJackson ImmunoresearchCat #711-165-152; RRID: AB_2307443
4’,6-diamino-2-phenyNndole (DAPI)Thermo Fisher ScientificCat #D1306; RRID: AB_2629482
SYTOX Blue Dead Cell Stain, for flow cytometryThermo Fisher ScientificCat #S34857
7-AADBD BiosciencesCat #559925
Streptavidin, Pacific Orange conjugateThermo Fisher ScientificCat #S32365
Anti-APC MicrobeadsMiltenyi BiotecCat#120-001-265
Wheat Germ Agglutinin, Alexa Fluor 488 ConjugateThermo Fisher ScientificCat#W11261
Propidium IodideMillipore SigmaCat#P4170-25MG
Calcein Blue, AMThermo Fisher ScientificCat#C1429
eBioscience™ Streptavidin-APCThermo Fisher ScientificCat#17-4317-82
Bacterial and Virus Strains
ElectroMAX™ Stbl4™ Competent CellsThermo Fisher ScientificCat#11635018
Chemicals, Peptides, and Recombinant Proteins
HBSS, calcium, magnesium, no phenol redThermo Fisher ScientificCat#14025-134
PBS (for cell culture)GE Healthcare (Hyclone)Cat#SH30071.03
PBS (for staining media)Millipore SigmaCat#P6178-500mL
Dulbecco’s Phosphate-Buffered Saline (DPBS), no calcium, no magnesiumThermo Fisher ScientificCat#14190-250
Collagen I Rat ProteinThermo Fisher ScientificCat#A1048301
Natural Mouse Laminin, 1mgThermo Fisher ScientificCat#23017015
PGP-Basic, recombinantMillipore SigmaCat #P0291
DMEM, high glucoseThermo Fisher ScientificCat#11965118
Ham’s P10 Nutrient Mix, 500ml bottleThermo Fisher ScientificCat#11550043
Donor Horse SerumAtlanta BiologicalsCat#S12150
Penicillin-StreptomycinThermo Fisher ScientificCat#15140122
GlutaMAX SupplementThermo Fisher ScientificCat#35050061
DexamethasoneMillipore SigmaCat#D1756
Insulin solution from bovine pancreasMillipore SigmaCat#I0516
RosiglitazoneCayman ChemicalCat#71740
3-isobutyl-1-methylxanthineMillipore SigmaCat #I5879
Paraformaldehyde, 32% solutionVWRCat#100496-496
Triton X-100Millipore SigmaCat #T9284
Triton X-100Thermo Fisher ScientificCat#BP151
Normal Goat Serum, Jackson ImmunoVWRCat#102643-594
Donkey SerumMillipore SigmaCat #D9663
Bovine Serum Albumin (BSA)Millipore SigmaCat #A9647
Bovine Serum Albumin (BSA)Millipore SigmaCat #A7030
Gelatin from cold water fish skinMillipore SigmaCat #G7765
Tween 20Millipore SigmaCat #P1379
BODIPY™ 493/503Thermo Fisher ScientificCat #D3922
Hoechst 33342, Trihydrochloride, TrihydrateThermo Fisher ScientificCat #H1399
Cardiotoxin gamma from Naja pallidaLatoxinCat #L8102
EDTA (0.5M), pH 8.0Thermo Fisher ScientificCat #AM9261
DextranMillipore SigmaCat #31392
ACK Lysing BufferThermo Fisher ScientificCat #A1049201
IodixanolAxis-Shield PoC ASCat #AXS-1114542-5
Trizol LSThermo Fisher ScientificCat #1029610
Isopentane (2-Methylbutane)Millipore SigmaCat #M32631
Paraformaldehyde (PPA), 32% solution, EM gradeVWRCat #100496-496
Vectashield HardSet Antifade Mounting Medium with DAPIVector LaboratoriesCat #H-1200
Critical Commercial Assays
SuperScript IV VILO Master Mix with ezDNase EnzymeThermo Fisher ScientificCat #11766050
Pax7 TaqMan assayThermo Fisher ScientificMm01354484_m1
Myf5 TaqMan assayThermo Fisher ScientificMm00435125_m1
Myod1 TaqMan assayThermo Fisher ScientificMm00440387_m1
Myog TaqMan assayThermo Fisher ScientificMm00446194_m1
Gapdh TaqMan assayThermo Fisher ScientificMm99999915_g1
TaqMan Past Advanced Master MixThermo Fisher ScientificCat #4444557
Experimental Models: Cell Lines
HEK293ATCCCat #CRL-1573; RRID: CVCL_0045
Experimental Models: Organisms/Strains
Mouse: C57B/10ScSn-Dmdmdx/JThe Jackson LaboratoryJAX: 001801; RRID: IMSR_JAX:001801
Mouse: B6;129S6-Gt(ROSA)26Sortm9 (CAG-tdTomato)Hze/JThe Jackson LaboratoryJAX: 007905; RRID: IMSR_JAX:007905
Mouse: B6.Cg-Tg(Pax7-ZsGreen)1Kyba/JThe Jackson LaboratoryJAX: 029549; RRID: IMSR_JAX:029549
Mouse: B6.SJL-Ptprca Pepcb/BoyJThe Jackson LaboratoryJAX: 002014; RRID: IMSR_JAX:002014
Mouse: C57BL/6JThe Jackson LaboratoryJAX: 000664; RRID: IMSR_JAX:000664
Oligonucleotides
Pax7_zsGreen_F; CTGCATGTACCACGAGTCCAN/A
Pax7_zsGreen_R; GTCAGGTGCCACTTCTGGTTN/A
tdTomato_WT_F; AAGGGAGCTGCAGTGGAGTAN/A
tdTomato_WT_R; CCGAAAATCTGTGGGAAGTCN/A
tdTomato_Knock-in_F; CTGTTCCTGTACGGCATGGN/A
tdTomato_Knock-in_R; GGCATTAAAGCAGCGTATCCN/A
Recombinant DNA
Package plasmid (pAAV2/Anc80) L65AAP)AddgeneCat #92307
Transgene plasmid (pAAV Cre)GTVCIn house production
pAAV-Cre control plasmidCell BiolabsAAV-401
Helper plasmid (ΔP6)GTVCIn house production
Package plasmid (pKAAV2/8, pKAAV2/9)GTVCIn house production
REAGENT or RESOURCESOURCEIDENTIFIER
Software and Algorithms
BD PACSDiva™ Software v8.0.2BD Biosciences http://www.bdbiosciences.com/us/instruments/research/software/flow-cytometry-acquisition/bd-facsdiva-software/m/111112/overview ;RRID: SCR_001456
FlowJo v10.1r5FlowJohttps://www.flowjo.com/solutions/flowjo;RRID: SCR_008520
Other
Covidien Monoject Softpack Insulin Syringe, 1/2mL, 28Gx 1/2”Covidien1188528012
Equisul-SDT® (Sulfadiazine Trimethoprim)Aurora PharmaceuticalCat #28002
Irradiated PicoLab Mouse Diet 20 5058LabDiet, St. Louis, MOCat #0007689
Irradiated LabDiet Prolab Isopro RMH 3000 5P75LabDiet, St. Louis, MOCat #0006972
Tissue-Tek® O.C.T. Compound, Sakura® PinetekVWR25608-930
  21 in total

Review 1.  Correction of muscular dystrophies by CRISPR gene editing.

Authors:  Francesco Chemello; Rhonda Bassel-Duby; Eric N Olson
Journal:  J Clin Invest       Date:  2020-06-01       Impact factor: 14.808

2.  Comparison of dystrophin expression following gene editing and gene replacement in an aged preclinical DMD animal model.

Authors:  Niclas E Bengtsson; Julie M Crudele; Jordan M Klaiman; Christine L Halbert; Stephen D Hauschka; Jeffrey S Chamberlain
Journal:  Mol Ther       Date:  2022-02-08       Impact factor: 12.910

3.  Cell Types Promoting Goosebumps Form a Niche to Regulate Hair Follicle Stem Cells.

Authors:  Yulia Shwartz; Meryem Gonzalez-Celeiro; Chih-Lung Chen; H Amalia Pasolli; Shu-Hsien Sheu; Sabrina Mai-Yi Fan; Farnaz Shamsi; Steven Assaad; Edrick Tai-Yu Lin; Bing Zhang; Pai-Chi Tsai; Megan He; Yu-Hua Tseng; Sung-Jan Lin; Ya-Chieh Hsu
Journal:  Cell       Date:  2020-07-16       Impact factor: 41.582

Review 4.  Tissue Stem Cells: Architects of Their Niches.

Authors:  Elaine Fuchs; Helen M Blau
Journal:  Cell Stem Cell       Date:  2020-10-01       Impact factor: 24.633

Review 5.  CRISPR for Neuromuscular Disorders: Gene Editing and Beyond.

Authors:  Courtney S Young; April D Pyle; Melissa J Spencer
Journal:  Physiology (Bethesda)       Date:  2019-09-01

6.  Transduction Efficiency of Adeno-Associated Virus Serotypes After Local Injection in Mouse and Human Skeletal Muscle.

Authors:  Laura Muraine; Mona Bensalah; Jamila Dhiab; Gonzalo Cordova; Ludovic Arandel; Alix Marhic; Maud Chapart; Stéphane Vasseur; Sofia Benkhelifa-Ziyyat; Anne Bigot; Gillian Butler-Browne; Vincent Mouly; Elisa Negroni; Capucine Trollet
Journal:  Hum Gene Ther       Date:  2020-01-24       Impact factor: 5.695

7.  Dystrophin Gene-Editing Stability Is Dependent on Dystrophin Levels in Skeletal but Not Cardiac Muscles.

Authors:  Niclas E Bengtsson; Hichem Tasfaout; Stephen D Hauschka; Jeffrey S Chamberlain
Journal:  Mol Ther       Date:  2020-11-05       Impact factor: 11.454

8.  Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across species.

Authors:  Mohammadsharif Tabebordbar; Kim A Lagerborg; Alexandra Stanton; Emily M King; Simon Ye; Liana Tellez; Allison Krunnfusz; Sahar Tavakoli; Jeffrey J Widrick; Kathleen A Messemer; Emily C Troiano; Behzad Moghadaszadeh; Bryan L Peacker; Krystynne A Leacock; Naftali Horwitz; Alan H Beggs; Amy J Wagers; Pardis C Sabeti
Journal:  Cell       Date:  2021-09-09       Impact factor: 66.850

9.  Corticosterone inhibits GAS6 to govern hair follicle stem-cell quiescence.

Authors:  Sekyu Choi; Bing Zhang; Sai Ma; Meryem Gonzalez-Celeiro; Daniel Stein; Xin Jin; Seung Tea Kim; Yuan-Lin Kang; Antoine Besnard; Amelie Rezza; Laura Grisanti; Jason D Buenrostro; Michael Rendl; Matthias Nahrendorf; Amar Sahay; Ya-Chieh Hsu
Journal:  Nature       Date:  2021-03-31       Impact factor: 49.962

10.  Efficient precise in vivo base editing in adult dystrophic mice.

Authors:  Li Xu; Chen Zhang; Haiwen Li; Peipei Wang; Yandi Gao; Nahush A Mokadam; Jianjie Ma; W David Arnold; Renzhi Han
Journal:  Nat Commun       Date:  2021-06-17       Impact factor: 14.919

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