Evidence map›Paper›PMID 40364976›Full record

ArticleBio-protocol2025

Proteome Birthdating: A Single-Sample Approach for Measuring Global Turnover Dynamics and "Protein Age".

Michael E Meadow, Sarah Broas, Margaret Hoare, Maria Ahmed, Fatemeh Alimohammadi, Kevin A Welle, Kyle Swovick, Jennifer R Hryhorenko, Anushka Jain, John C Martinez and 4 more

Abstract read
In one paragraph

Article in Bio-protocol, 2025. 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

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

14 authors.

Michael E MeadowDepartment of Biology, University of Rochester, NY, USA.
Sarah BroasDepartment of Biology, University of Rochester, NY, USA.
Margaret HoareDepartment of Biology, University of Rochester, NY, USA.
Maria AhmedDepartment of Biology, University of Rochester, NY, USA.
Fatemeh AlimohammadiDepartment of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, NY, USA.
Kevin A WelleUniversity of Rochester Mass Spectrometry Resource Laboratory, NY, USA.
Kyle SwovickUniversity of Rochester Mass Spectrometry Resource Laboratory, NY, USA.
Jennifer R HryhorenkoUniversity of Rochester Mass Spectrometry Resource Laboratory, NY, USA.
Anushka JainDepartment of Biology, University of Rochester, NY, USA.
John C MartinezDepartment of Biology, University of Rochester, NY, USA.
Andrei SeluanovDepartment of Biology, University of Rochester, NY, USA.
Vera GorbunovaDepartment of Biology, University of Rochester, NY, USA.
Abigail BuchwalterCardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA.
Sina GhaemmaghamiDepartment of Biology, University of Rochester, NY, USA.

Funding

The role of hyaluronan in longevity and cancer resistance of longest-lived rodentP01AG047200 · NIA · UNIVERSITY OF ROCHESTER · PI Andrei Seluanov · 2014 to 2026
$36.9M
The prevalence and mechanism of selectivity in basal autophagyR35GM119502 · NIGMS · UNIVERSITY OF ROCHESTER · PI SINA GHAEMMAGHAMI · 2016 to 2026
$5.9M
Regulation of epigenome stability by SIRT6 during aging. Supplement: Does centenarian variant of SIRT6 or bowhead whale SIRT6 confer protection from Alzheimer's disease?R37AG046320 · NIA · UNIVERSITY OF ROCHESTER · PI Andrei Seluanov · 2019 to 2026
$4.7M
Regulation of genome stability by SITR6R01AG046320 · NIA · UNIVERSITY OF ROCHESTER · PI SELUANOV, ANDREI · 2014 to 2018
$1.9M
Orbitrap Fusion Lumos Mass Spectrometer for UR Proteomics ResearchS10OD025242 · OD · UNIVERSITY OF ROCHESTER · PI GHAEMMAGHAMI, SINA · 2018 to 2018
$1.1M
NIA NIH HHS P01 AG047200NIA NIH HHS R01 AG046320NIA NIH HHS R37 AG046320NIGMS NIH HHS R35 GM119502NIH HHS S10 OD025242
6 · The paper itself

Abstract

Within a cell, proteins have distinct and highly variable half-lives. As a result, the molecular ages of proteins can range from seconds to years. How the age of a protein influences its environmental interactions is a largely unexplored area of biology. To facilitate such studies, we recently developed a technique termed "proteome birthdating" that differentially labels proteins based on their time of synthesis. Proteome birthdating enables analyses of age distributions of the proteome by tandem mass spectrometry (LC-MS/MS) and provides a methodology for investigating the protein age selectivity of diverse cellular pathways. Proteome birthdating can also provide measurements of protein turnover kinetics from single, sequentially labeled samples. Here, we provide a practical guide for conducting proteome birthdating in in vitro model systems. The outlined workflow covers cell culture, isotopic labeling, protein extraction, enzymatic digestion, peptide cleanup, mass spectrometry, data processing, and theoretical considerations for interpretation of the resulting data. Key features • Proteome birthdating barcodes the proteome with isotopically labeled precursors based on time of synthesis or "age." • Global protein turnover kinetics can be analyzed from single, sequentially labeled biological samples. • Protein age distributions of subsets of the proteome can be analyzed (e.g., ubiquitinated proteins). • Age selectivity of protein properties, cellular pathways, or disease states can be investigated.

Indexed as

Mass spectrometryNeutron-encoded amino acidsProtein ageProtein turnoverProteome birthdating

Identifiers

PMID40364976
PMCPMC12067312

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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.