Evidence map›Paper›PMID 38645168›Full record

ArticlebioRxiv : the preprint server for biology2024

Age-Invariant Genes: Multi-Tissue Identification and Characterization of Murine Reference Genes.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

John T GonzálezDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-1020-8783
Kyra ThrushAltos Labs, San Diego Institute of Sciences, San Diego, CA, USA.ORCID 0000-0002-3991-9597
Margarita MeerAltos Labs, San Diego Institute of Sciences, San Diego, CA, USA.ORCID 0000-0001-8249-7097
Morgan E LevineDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9890-9324
Albert T Higgins-ChenDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-2904-2741
Fleet Science Center · USYale University · US

Funding

Translational CoreP30AG038070 · NIA · JACKSON LABORATORY · PI Gary A Churchill · 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 serve as reference genes (often called housekeeping 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. We find age-invariant genes have shorter transcripts on average 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, though hallmarks of aging typically involve changes in cell maintenance mechanisms, select genes associated with these hallmarks resist fluctuations in expression with age. Finally, our analysis concludes no classical reference gene is appropriate for aging studies in all tissues. Instead, we provide tissue-specific and pan-tissue genes for assays utilizing reference gene normalization (i.e., RT-qPCR) that can be applied to animals across the lifespan.

Indexed as

housekeeping genesmammalian transcriptomeorgan agingRT-qPCR normalizationstable expression

Identifiers

PMID38645168
PMCPMC11030416
OpenAlexW4394782889

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.