Evidence map›Paper›PMID 40596066›Full record

ArticleScientific reports2025

A single-cell atlas of the murine limb skeleton integrating the developmental and adult stages.

Tim Herpelinck, Liesbeth Ory, Tom Verbraeken, Gabriele Nasello, Mojtaba Barzegari, Johanna Bolander, Frank P Luyten, Przemko Tylzanowski, Liesbet Geris

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

9 authors.

Tim Herpelinck *Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Liesbeth Ory *Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Tom VerbraekenSkeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Gabriele NaselloSkeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Mojtaba BarzegariBiomechanics Section, Department of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Johanna BolanderWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, 7 NC, USA.
Frank P LuytenSkeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Przemko Tylzanowski *Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Liesbet Geris *Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium. liesbet.geris@kuleuven.be.

Funding

European Research Council 772418Fonds Wetenschappelijk Onderzoek 12C5923NFonds Wetenschappelijk Onderzoek 1S80021NFonds Wetenschappelijk Onderzoek G0D3420NHorizon 2020 H2020/2014-2021
6 · The paper itself

Abstract

The recent growth of single-cell transcriptomics has made single-cell RNA sequencing (scRNA-seq) into a near-routine technique. Breakthroughs in scalability have led to the creation of organism-wide transcriptomic datasets, aiming to comprehensively profile the cell types and states within an organism throughout its lifecycle. However, the skeleton remains an underrepresented organ system in organism-wide atlases. Given the skeleton's critical role as the central framework of the vertebrate body, its function in housing the hematopoietic niche, and its involvement in metabolic and homeostatic processes, its underrepresentation presents a significant gap in current reference atlas projects. To address this issue, we integrated ten separate murine, publicly available scRNA-seq datasets, which include limb skeletal cells and their developmental precursors, resulting in an atlas of 133,332 cells. This limb skeletal cell atlas describes cells within the mesenchymal lineage, focusing on the process from limb induction to adult bone formation, and encompasses 39 well-characterized cell types and states. By expanding the repertoire of time points and cell types within a single dataset, we enable more complete analyses of cell-cell communication or in silico perturbation studies. Together, these efforts present a valuable resource for researchers in skeletal biology, metabolism, and regenerative medicine, filling an important gap in current atlas mapping projects.

Indexed as

Bone and BonesExtremitiesSingle-Cell AnalysisAnimalsAtlases as TopicGene Expression ProfilingMiceTranscriptomeAtlasBioinformaticsBoneLimbMorphogenesisSingle-cellTranscriptome

Identifiers

PMID40596066
PMCPMC12215971

What Socratic holds

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LicenceCC BY
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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 Socratic graph.