Evidence map›Paper›PMID 32139741›Full record

ArticleScientific reports2020

Temporal changes in the gene expression heterogeneity during brain development and aging.

Ulaş Işıldak, Mehmet Somel, Janet M Thornton, Handan Melike Dönertaş

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Isoswitching drives the aging process in human brains.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Progress in Discovering Transcriptional Noise in Aging.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Article
  18. Measuring biological age using omics data.Nature reviews. Genetics · 2022
    Review
  19. Imaging Transcriptomics of Brain Disorders.Biological psychiatry global open science · 2022
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ulaş IşıldakDepartment of Biological Sciences, Middle East Technical University, 06800, Ankara, Turkey.ORCID http://orcid.org/0000-0001-6497-6254
Mehmet SomelDepartment of Biological Sciences, Middle East Technical University, 06800, Ankara, Turkey.ORCID http://orcid.org/0000-0002-3138-1307
Janet M ThorntonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.ORCID http://orcid.org/0000-0003-0824-4096
Handan Melike DönertaşEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. donertas.melike@gmail.com.ORCID http://orcid.org/0000-0002-9788-6535

Funding

Wellcome Trust
6 · The paper itself

Abstract

Cells in largely non-mitotic tissues such as the brain are prone to stochastic (epi-)genetic alterations that may cause increased variability between cells and individuals over time. Although increased inter-individual heterogeneity in gene expression was previously reported, whether this process starts during development or if it is restricted to the aging period has not yet been studied. The regulatory dynamics and functional significance of putative aging-related heterogeneity are also unknown. Here we address these by a meta-analysis of 19 transcriptome datasets from three independent studies, covering diverse human brain regions. We observed a significant increase in inter-individual heterogeneity during aging (20 + years) compared to postnatal development (0 to 20 years). Increased heterogeneity during aging was consistent among different brain regions at the gene level and associated with lifespan regulation and neuronal functions. Overall, our results show that increased expression heterogeneity is a characteristic of aging human brain, and may influence aging-related changes in brain functions.

Indexed as

Gene Expression ProfilingGene Expression Regulation, DevelopmentalTranscriptomeAdolescentAdultAgedAged, 80 and overAge FactorsAgingBiomarkersBrainChildChild, PreschoolFemaleHumansInfantBiomarkers

Identifiers

PMID32139741
PMCPMC7058021

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Registered trials

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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.