Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA, USA.
J Bone Miner Res. 2023 Sep;38(9):1350-1363. doi: 10.1002/jbmr.4882. Epub 2023 Jul 27.
Genome-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).
全基因组关联研究(GWAS)已经提高了我们对骨质疏松症遗传基础的认识;然而,挑战在于将关联转化为因果基因。研究利用转录组学数据将疾病相关变异与基因联系起来,但很少有针对骨单细胞水平的群体转录组学数据集生成。为了解决这个挑战,我们使用单细胞 RNA-seq(scRNA-seq)对来自五只多样性远交(DO)小鼠的骨髓基质细胞(BMSC)在成骨条件下培养的转录组进行了分析。该研究的目的是确定 BMSC 是否可以作为一种模型,从大量小鼠中生成间充质谱系细胞的细胞类型特异性转录组图谱,为遗传研究提供信息。通过体外富集间充质谱系细胞,结合多个样本的混合和下游基因型去卷积,我们证明了该模型在群体水平研究中的可扩展性。我们证明了从高度矿化基质中分离 BMSC 对其活力或转录组特征几乎没有影响。此外,我们表明,在成骨条件下培养的 BMSC 是多样的,由具有间充质祖细胞、骨髓脂肪生成谱系前体(MALP)、成骨细胞、骨细胞样细胞和免疫细胞特征的细胞组成。重要的是,从转录组学的角度来看,所有细胞都与体内分离的细胞相似。我们采用 scRNA-seq 分析工具来确认所分析细胞类型的生物学身份。SCENIC 用于重建基因调控网络(GRN),我们观察到细胞类型显示出成骨和前脂肪生成谱系细胞的预期 GRN。此外,CELLECT 分析表明,成骨细胞、骨细胞样细胞和 MALP 捕获了骨密度(BMD)遗传力的重要组成部分。综上所述,这些数据表明,在成骨条件下培养的 BMSC 与 scRNA-seq 相结合,可以用作一种可扩展且具有生物学信息的模型,用于生成大量间充质谱系细胞的细胞类型特异性转录组图谱。