Evidence map›Paper›PMID 39763824›Full record

ArticlebioRxiv : the preprint server for biology2024

Expanding the Landscape of Aging via Orbitrap Astral Mass Spectrometry and Tandem Mass Tag (TMT) Integration.

Gregory R Keele, Yue Dou, Seth P Kodikara, Erin D Jeffery, Dina Bai, Joao A Paulo, Steven P Gygi, Xiao Tian, Tian Zhang

Abstract 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Gregory R KeeleResearch Triangle Institute International, Research Triangle Park, NC 27709, USA.ORCID 0000-0002-1843-7900
Yue DouDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Seth P KodikaraDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Erin D JefferyDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0001-9511-7719
Dina BaiDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0001-9595-1199
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4291-413X
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-7626-0034
Xiao TianSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA.
Tian ZhangDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.

Funding

A new multi-pathway kinase activity assay applied to compound library screening in cancer biologyR00CA273170 · NCI · UNIVERSITY OF VIRGINIA · PI ZHANG, TIAN · 2023 to 2025
$747k
Epigenetic Reprogramming to Counteract Neuronal Aging and DegenerationR00AG068303 · NIA · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI XIAO TIAN · 2024 to 2026
$742k
NCI NIH HHS R00 CA273170NIA NIH HHS R00 AG068303
6 · The paper itself

Abstract

Aging results in a progressive decline in physiological function due to the deterioration of essential biological processes, such as transcription and RNA splicing, ultimately increasing mortality risk. Although proteomics is emerging as a powerful tool for elucidating the molecular mechanisms of aging, existing studies are constrained by limited proteome coverage and only observe a narrow range of lifespan. To overcome these limitations, we integrated the Orbitrap Astral Mass Spectrometer with the multiplex tandem mass tag (TMT) technology to profile the proteomes of three brain tissues (cortex, hippocampus, striatum) and kidney in the C57BL/6JN mouse model, achieving quantification of 8,954 to 9,376 proteins per tissue (cumulatively 12,749 across all tissues). Our sample population represents balanced sampling across both sexes and three age groups (3, 12, and 20 months), comprising young adulthood to early late life (approximately 20-60 years of age for human lifespan). To enhance quantitative accuracy, we developed a peptide filtering strategy based on resolution and signal-to-noise thresholds. Our analysis uncovered distinct tissue-specific patterns of protein abundance, with age and sex differences in the kidney, while brain tissues exhibit notable age changes and limited sex differences. In addition, we identified both proteomic changes that are linear with age (

Identifiers

PMID39763824
PMCPMC11702764

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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.