Evidence map›Paper›PMID 37436066›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2023

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

Luke J Dillard, Will T Rosenow, Gina M Calabrese, Larry D Mesner, Basel M Al-Barghouthi, Abdullah Abood, Emily A Farber, Suna Onengut-Gumuscu, Steven M Tommasini, Mark A Horowitz and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Luke J DillardCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-8293-0479
Will T RosenowCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Gina M CalabreseCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Larry D MesnerCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Basel M Al-BarghouthiCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Abdullah AboodCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-5714-6375
Emily A FarberCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Suna Onengut-GumuscuCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Steven M TommasiniDepartment of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Mark A HorowitzDepartment of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Clifford J RosenMaine Medical Center Research Institute, Scarborough, ME, USA.
Lutian YaoDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-0652-2075
Ling QinDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2582-0078
Charles R FarberCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-6748-4711
University of Virginia · USUniversity of Pennsylvania · USYale University · USMaine Medical Center · US

Funding

Genetic analysis of bone strengthR01AR068345 · NIAMS · UNIVERSITY OF VIRGINIA · PI FARBER, CHARLES R, HOROWITZ, MARK C · 2016 to 2020
$3.1M
Informing Osteoporosis GWAS Using NetworksR01AR077992 · NIAMS · UNIVERSITY OF VIRGINIA · PI FARBER, CHARLES R · 2020 to 2025
$2.8M
NIAMS NIH HHS R01 AR068345NIAMS NIH HHS R01 AR077992NIH HHS R01AR077992NIH HHS R01AR68345
6 · The paper itself

Abstract

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).

Indexed as

Collaborative Cross MiceMesenchymal Stem CellsAnimalsBone Marrow CellsCell DifferentiationCells, CulturedGenome-Wide Association StudyMiceOsteogenesisSingle-Cell Gene Expression AnalysisStromal CellsTranscriptomeOSTEOBLASTSOSTEOCYTESOSTEOPOROSISSTROMAL/STEM CELLSSYSTEMS BIOLOGY - OTHER

Identifiers

PMID37436066
PMCPMC10528806
OpenAlexW4383998708

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.