Evidence map›Paper›PMID 32500641›Full record

ArticleAging cell2020

Repetitive elements as a transcriptomic marker of aging: Evidence in multiple datasets and models.

Thomas J LaRocca, Alyssa N Cavalier, Devin Wahl

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
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  11. A multi-omics analysis of human fibroblasts overexpressing anbioRxiv : the preprint server for biology · 2025
    Article
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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

3 authors at 1 institution in 1 country.

Thomas J LaRoccaDepartment of Health and Exercise Science, Center for Healthy Aging, Colorado State University, Fort Collins, CO, USA.ORCID 0000-0002-2393-7299
Alyssa N CavalierDepartment of Health and Exercise Science, Center for Healthy Aging, Colorado State University, Fort Collins, CO, USA.
Devin WahlDepartment of Health and Exercise Science, Center for Healthy Aging, Colorado State University, Fort Collins, CO, USA.ORCID 0000-0003-2794-0185
Colorado State University · US

Funding

Inclusive Transcriptomics to Uncover Molecular Mechanisms Underlying HealthspanR21AG060302 · NIA · COLORADO STATE UNIVERSITY · PI LAROCCA, THOMAS · 2019 to 2020
$765k
NIA NIH HHS AG060302NIA NIH HHS R21 AG060302
6 · The paper itself

Abstract

Transcriptomic markers of aging can be useful for studying age-related processes and diseases. However, noncoding repetitive element (RE) transcripts, which may play an important role in aging, are commonly overlooked in transcriptome studies-and their potential as a transcriptomic marker of aging has not been evaluated. Here, we used multiple RNA-seq datasets generated from human samples and Caenorhabditis elegans and found that most RE transcripts (a) accumulate progressively with aging; (b) can be used to accurately predict age; and (c) may be a good marker of biological age. The strong RE/aging correlations we observed are consistent with growing evidence that RE transcripts contribute directly to aging and disease.

Indexed as

AgingAnimalsCaenorhabditis elegansTranscriptomeagingCaenorhabditis eleganshumanrepetitive elementstranscriptomicstransposable elements

Identifiers

PMID32500641
PMCPMC7412685
OpenAlexW3032919728

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.