Evidence map›Paper›PMID 34946931›Full record

ArticleGenes2021

Age-Related Changes of Gene Expression Profiles in

Guillaume Bordet, Niraj Lodhi, Andrew Kossenkov, Alexei Tulin

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Article
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  6. Article
  7. Dynamic Changes in Gene Expression Through Aging inbioRxiv : the preprint server for biology · 2024
    Article
  8. Distribution of TRPC5 in the human lung: A study in body donors.Experimental and therapeutic medicine · 2024
    Article
  9. PARG Protein Regulation Roles inInternational journal of molecular sciences · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Adult health and transition stage-specific rotenone-mediatedFrontiers in molecular neuroscience · 2022
    Article
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

4 authors at 3 institutions in 1 country.

Guillaume BordetDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, 501 North Columbia Road, Stop 9061, Grand Forks, ND 58202, USA.ORCID 0000-0002-1346-0984
Niraj LodhiBasic Science Department, Fox Chase Cancer Center, Philadelphia, PA 19111, USA.ORCID 0000-0002-5940-2915
Andrew KossenkovGene Expression & Regulation Program, The Wistar Institute Cancer Center, Philadelphia, PA 19104, USA.
Alexei TulinDepartment of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota, 501 North Columbia Road, Stop 9061, Grand Forks, ND 58202, USA.ORCID 0000-0001-9618-4243
University of North Dakota · USFox Chase Cancer Center · USThe Wistar Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An individual's gene expression profile changes throughout their life. This change in gene expression is shaped by differences in physiological needs and functions between the younger and older organism. Despite intensive studies, the aging process is not fully understood, and several genes involved in this process may remain to be identified. Here we report a transcriptomic analysis of

Indexed as

Age FactorsAgingAnimalsDrosophila melanogasterDrosophila ProteinsFemaleGene ExpressionGene Expression ProfilingLongevityModels, AnimalTranscriptomeDrosophila Proteinsaging processescytochromeDrosophilamicroarraymuscle structure

Identifiers

PMID34946931
PMCPMC8701748
OpenAlexW4200494009

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.