Evidence map›Paper›PMID 39873648›Full record

ArticleAging2025

Age-invariant genes: multi-tissue identification and characterization of murine reference genes.

John T González, Kyra Thrush-Evensen, Margarita Meer, Morgan E Levine, Albert T Higgins-Chen

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Article in Aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

John T GonzálezDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06519, USA.
Kyra Thrush-EvensenAltos Labs, Institute of Computation, San Diego, CA 92114, USA.
Margarita MeerAltos Labs, Institute of Computation, San Diego, CA 92114, USA.
Morgan E LevineDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06519, USA.
Albert T Higgins-ChenDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06519, USA.

Funding

Translational CoreP30AG038070 · NIA · JACKSON LABORATORY · PI John Matthew Mahoney · 2010 to 2026
$19.3M
QUANTITATIVE ASSESSMENT OF BIOLOGICAL AGE AND ITS APPLICATIONSR01AG065403 · NIA · YALE UNIVERSITY · PI Vadim N. Gladyshev, Albert Tzongyang Higgins-Chen · 2020 to 2026
$4.2M
NIA NIH HHS P30 AG038070NIA NIH HHS R01 AG065403
6 · The paper itself

Abstract

Studies of the aging transcriptome focus on genes that change with age. But what can we learn from age-invariant genes-those that remain unchanged throughout the aging process? These genes also have a practical application: they can serve as reference genes in expression studies. Reference genes have mostly been identified and validated in young organisms, and no systematic investigation has been done across the lifespan. Here, we build upon a common pipeline for identifying reference genes in RNA-seq datasets to identify age-invariant genes across seventeen C57BL/6 mouse tissues (brain, lung, bone marrow, muscle, white blood cells, heart, small intestine, kidney, liver, pancreas, skin, brown, gonadal, marrow, and subcutaneous adipose tissue) spanning 1 to 21+ months of age. We identify 9 pan-tissue age-invariant genes, and many tissue-specific age-invariant genes. These genes are stable across the lifespan and are validated in independent bulk RNA-seq datasets and RT-qPCR. Age-invariant genes have shorter transcripts and are enriched for CpG islands. Interestingly, pathway enrichment analysis for age-invariant genes identifies an overrepresentation of molecular functions associated with some, but not all, hallmarks of aging. Thus, even though hallmarks of aging typically involve change, select genes associated with these hallmarks resist age-related change. Finally, our analysis provides a list of murine tissues where classical reference genes are appropriate for application in aging studies. However, no classical reference gene is appropriate across all aging tissues. Instead, we provide novel tissue-specific and pan-tissue reference genes for assays utilizing gene normalization (RT-qPCR) that can be applied to mice across the lifespan.

Indexed as

AgingTranscriptomeAnimalsGene Expression ProfilingMaleMiceMice, Inbred C57BLOrgan Specificityhousekeeping genesmammalian transcriptomeorgan agingRT-qPCR normalizationstable expression

Identifiers

PMID39873648
PMCPMC11810070

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.