Evidence map›Paper›PMID 32840480›Full record

ArticleeLife2020

Ageing compromises mouse thymus function and remodels epithelial cell differentiation.

Jeanette Baran-Gale, Michael D Morgan, Stefano Maio, Fatima Dhalla, Irene Calvo-Asensio, Mary E Deadman, Adam E Handel, Ashley Maynard, Steven Chen, Foad Green and 8 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

125 citing papers in PubMed, 189 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. What Do We Know About Immune System Aging from Human and Animal Studies?International journal of molecular sciences · 2026
    Review
  6. Article
  7. Review
  8. Article
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  11. Article
  12. Article
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  15. Review
  16. Kidney Disease as a Driver of Immunosenescence: Mechanisms and Potential Interventions.Journal of the American Society of Nephrology : JASN · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. Review

65 more citing papers are in PubMed but not listed here.

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 at 7 institutions in 3 countries.

Jeanette Baran-Gale *MRC Human Genetics Unit, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-8779-328X
Michael D Morgan *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.ORCID 0000-0003-0757-0711
Stefano MaioWeatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.
Fatima DhallaWeatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.
Irene Calvo-AsensioDepartment of Biomedicine, University of Basel, and University Children's Hospital, Basel, Switzerland.ORCID 0000-0002-9356-6008
Mary E DeadmanWeatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.
Adam E HandelWeatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-8385-6346
Ashley MaynardChan Zuckerberg Biohub, San Francisco, United States.
Steven ChenChan Zuckerberg Biohub, San Francisco, United States.
Foad GreenChan Zuckerberg Biohub, San Francisco, United States.
Rene V SitChan Zuckerberg Biohub, San Francisco, United States.
Norma F NeffChan Zuckerberg Biohub, San Francisco, United States.
Spyros DarmanisChan Zuckerberg Biohub, San Francisco, United States.
Weilun TanChan Zuckerberg Biohub, San Francisco, United States.
Andy P MayChan Zuckerberg Biohub, San Francisco, United States.
John C MarioniWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.ORCID 0000-0001-9092-0852
Chris P PontingMRC Human Genetics Unit, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-0202-7816
Georg A HolländerWeatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8790-0874
Chan Zuckerberg Initiative (United States) · USUniversity of Oxford · GBInstitute of Genetics and Cancer · GBUniversity of Basel · CHEuropean Bioinformatics Institute · GBNational Institute for Health Research · GBUniversity of Cambridge · GB

Funding

Cancer Research UK 22231Medical Research Council MC_UU_00007/15Swiss National Science Foundation 310030_184672Swiss National Science Foundation IZLJZ3_171050Wellcome Trust
6 · The paper itself

Abstract

Ageing is characterised by cellular senescence, leading to imbalanced tissue maintenance, cell death and compromised organ function. This is first observed in the thymus, the primary lymphoid organ that generates and selects T cells. However, the molecular and cellular mechanisms underpinning these ageing processes remain unclear. Here, we show that mouse ageing leads to less efficient T cell selection, decreased self-antigen representation and increased T cell receptor repertoire diversity. Using a combination of single-cell RNA-seq and lineage-tracing, we find that progenitor cells are the principal targets of ageing, whereas the function of individual mature thymic epithelial cells is compromised only modestly. Specifically, an early-life precursor cell population, retained in the mouse cortex postnatally, is virtually extinguished at puberty. Concomitantly, a medullary precursor cell quiesces, thereby impairing maintenance of the medullary epithelium. Thus, ageing disrupts thymic progenitor differentiation and impairs the core immunological functions of the thymus.

Indexed as

AgingCell DifferentiationAnimalsEpithelial CellsFemaleMiceMice, Inbred C57BLSingle-Cell AnalysisThymus GlandTranscriptomeageingdevelopmental dynamicsimmunologyinflammationmousesingle-cellt cell selectionThymus

Identifiers

PMID32840480
PMCPMC7490013
OpenAlexW3035486810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.