Single‐Cell Transcriptomics of Bone Marrow Stromal Cells in Diversity Outbred Mice: A Model for Population‐Level scRNA‐Seq Studies

Author:

Dillard Luke J1ORCID,Rosenow Will T1,Calabrese Gina M1,Mesner Larry D12,Al‐Barghouthi Basel M13,Abood Abdullah13ORCID,Farber Emily A1,Onengut‐Gumuscu Suna12,Tommasini Steven M4,Horowitz Mark A4,Rosen Clifford J5,Yao Lutian6ORCID,Qin Ling6ORCID,Farber Charles R123ORCID

Affiliation:

1. Center for Public Health Genomics, School of Medicine University of Virginia Charlottesville VA USA

2. Department of Public Health Sciences, School of Medicine University of Virginia Charlottesville VA USA

3. Department of Biochemistry and Molecular Genetics, School of Medicine University of Virginia Charlottesville VA USA

4. Department of Orthopaedics and Rehabilitation Yale School of Medicine New Haven CT USA

5. Maine Medical Center Research Institute Scarborough ME USA

6. Department of Orthopaedic Surgery, Perelman School of Medicine University of Pennsylvania Philadelphia PA USA

Abstract

ABSTRACTGenome‐wide association studies (GWASs) have advanced our understanding of the genetics of osteoporosis; however, the challenge has been converting associations to causal genes. Studies have utilized transcriptomics data to link disease‐associated variants to genes, but few population transcriptomics data sets have been generated on bone at the single‐cell level. To address this challenge, we profiled the transcriptomes of bone marrow–derived stromal cells (BMSCs) cultured under osteogenic conditions from five diversity outbred (DO) mice using single‐cell RNA‐seq (scRNA‐seq). The goal of the study was to determine if BMSCs could serve as a model to generate cell type–specific transcriptomic profiles of mesenchymal lineage cells from large populations of mice to inform genetic studies. By enriching for mesenchymal lineage cells in vitro, coupled with pooling of multiple samples and downstream genotype deconvolution, we demonstrate the scalability of this model for population‐level studies. We demonstrate that dissociation of BMSCs from a heavily mineralized matrix had little effect on viability or their transcriptomic signatures. Furthermore, we show that BMSCs cultured under osteogenic conditions are diverse and consist of cells with characteristics of mesenchymal progenitors, marrow adipogenic lineage precursors (MALPs), osteoblasts, osteocyte‐like cells, and immune cells. Importantly, all cells were similar from a transcriptomic perspective to cells isolated in vivo. We employed scRNA‐seq analytical tools to confirm the biological identity of profiled cell types. SCENIC was used to reconstruct gene regulatory networks (GRNs), and we observed that cell types show GRNs expected of osteogenic and pre‐adipogenic lineage cells. Further, CELLECT analysis showed that osteoblasts, osteocyte‐like cells, and MALPs captured a significant component of bone mineral density (BMD) heritability. Together, these data suggest that BMSCs cultured under osteogenic conditions coupled with scRNA‐seq can be used as a scalable and biologically informative model to generate cell type–specific transcriptomic profiles of mesenchymal lineage cells in large populations. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Orthopedics and Sports Medicine,Endocrinology, Diabetes and Metabolism

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