Evidence map›Paper›PMID 37314668›Full record

ArticleGeroScience2024

Deconstructing heterogeneity of replicative senescence in human mesenchymal stem cells at single cell resolution.

Atefeh Taherian Fard, Hannah C Leeson, Julio Aguado, Giovanni Pietrogrande, Dominique Power, Cecilia Gómez-Inclán, Huiwen Zheng, Christopher B Nelson, Farhad Soheilmoghaddam, Nick Glass and 8 more

Abstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

18 authors.

Atefeh Taherian FardAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Hannah C LeesonAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Julio AguadoAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Giovanni PietrograndeAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Dominique PowerAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Cecilia Gómez-InclánAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Huiwen ZhengAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Christopher B NelsonChildren's Medical Research Institute, University of Sydney, Westmead, Sydney, NSW, Australia.
Farhad SoheilmoghaddamAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Nick GlassAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Malindrie DharmaratneAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Ebony R WatsonAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Jennifer LuAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Sally MartinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Hilda A PickettChildren's Medical Research Institute, University of Sydney, Westmead, Sydney, NSW, Australia.
Justin Cooper-WhiteAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Ernst J WolvetangAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia. e.wolvetang@uq.edu.au.
Jessica C MarAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia. jessica.mar@uq.edu.au.

Funding

Australian Research Council Future Fellowship FT170100047Brisbane Children's Hospital Foundation Project-50308NHMRC Ideas Grant APP2001408University of Queensland Early Career Researcher Grant UQECR2058457
6 · The paper itself

Abstract

Following prolonged cell division, mesenchymal stem cells enter replicative senescence, a state of permanent cell cycle arrest that constrains the use of this cell type in regenerative medicine applications and that in vivo substantially contributes to organismal ageing. Multiple cellular processes such as telomere dysfunction, DNA damage and oncogene activation are implicated in promoting replicative senescence, but whether mesenchymal stem cells enter different pre-senescent and senescent states has remained unclear. To address this knowledge gap, we subjected serially passaged human ESC-derived mesenchymal stem cells (esMSCs) to single cell profiling and single cell RNA-sequencing during their progressive entry into replicative senescence. We found that esMSC transitioned through newly identified pre-senescent cell states before entering into three different senescent cell states. By deconstructing this heterogeneity and temporally ordering these pre-senescent and senescent esMSC subpopulations into developmental trajectories, we identified markers and predicted drivers of these cell states. Regulatory networks that capture connections between genes at each timepoint demonstrated a loss of connectivity, and specific genes altered their gene expression distributions as cells entered senescence. Collectively, this data reconciles previous observations that identified different senescence programs within an individual cell type and should enable the design of novel senotherapeutic regimes that can overcome in vitro MSC expansion constraints or that can perhaps slow organismal ageing.

Indexed as

Cellular SenescenceMesenchymal Stem CellsHumansCellular senescenceESC-derived mesenchymal stem cellsGene expression heterogeneitySingle cell RNA-seq data

Identifiers

PMID37314668
PMCPMC10828319

What OpenQuestion holds

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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 OpenQuestion graph.