Evidence map›Paper›PMID 35467654›Full record

ArticleJournal of visualized experiments : JoVE2022

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry.

Matthew Payea, Myriam Gorospe, Nathan Basisty

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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.

Matthew PayeaLaboratory of Genetics and Genomics, National Institute on Aging Intramural Research Program, National Institutes of Health.
Myriam GorospeLaboratory of Genetics and Genomics, National Institute on Aging Intramural Research Program, National Institutes of Health.
Nathan BasistyTranslational Gerontology Branch, National Institute on Aging Intramural Research Program, National Institutes of Health; nathan.basisty@nih.gov.
National Institutes of Health · US

Funding

Post-transcriptional Regulation Of Proliferative and Stress Response GenesZIAAG000511 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$25.4M
Influence of Post-transcriptional Gene Regulation on Cell Senescence and AgingZIAAG000393 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$24.1M
Post-transcriptional Regulation Of Proliferative and Stress Response GenesZ01AG000511 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM NONE · 1998 to 2008
$1.6M
Targeting, Quantifying, and Isolating Heterogeneous Populations of Senescent Cells from Tissues via Cell Surface and Secreted ProteomesZIAAG000346 · NIA · NATIONAL INSTITUTE ON AGING · PI BASISTY, NATHAN · 2021 to 2025
$648k
Proteomic Pipelines for the Quantification of Abundance and Turnover of Post-Translationally Modified Proteins in Aging StudiesZIAAG000347 · NIA · NATIONAL INSTITUTE ON AGING · PI BASISTY, NATHAN · 2021 to 2025
$298k
Intramural NIH HHS Z01 AG000511
6 · The paper itself

Abstract

Mounting evidence has shown that the accumulation of senescent cells in the central nervous system contributes to neurodegenerative disorders such as Alzheimer's and Parkinson's diseases. Cellular senescence is a state of permanent cell cycle arrest that typically occurs in response to exposure to sub-lethal stresses. However, like other non-dividing cells, senescent cells remain metabolically active and carry out many functions that require unique transcriptional and translational demands and widespread changes in the intracellular and secreted proteomes. Understanding how protein synthesis and decay rates change during senescence can illuminate the underlying mechanisms of cellular senescence and find potential therapeutic avenues for diseases exacerbated by senescent cells. This paper describes a method for proteome-scale evaluation of protein half-lives in non-dividing cells using pulsed stable isotope labeling by amino acids in cell culture (pSILAC) in combination with mass spectrometry. pSILAC involves metabolic labeling of cells with stable heavy isotope-containing versions of amino acids. Coupled with modern mass spectrometry approaches, pSILAC enables the measurement of protein turnover of hundreds or thousands of proteins in complex mixtures. After metabolic labeling, the turnover dynamics of proteins can be determined based on the relative enrichment of heavy isotopes in peptides detected by mass spectrometry. In this protocol, a workflow is described for the generation of senescent fibroblast cultures and similarly arrested quiescent fibroblasts, as well as a simplified, single-time point pSILAC labeling time-course that maximizes coverage of anticipated protein turnover rates. Further, a pipeline is presented for the analysis of pSILAC mass spectrometry data and user-friendly calculation of protein degradation rates using spreadsheets. The application of this protocol can be extended beyond senescent cells to any non-dividing cultured cells such as neurons.

Indexed as

Amino AcidsProteomeCells, CulturedIsotope LabelingMass SpectrometryProteolysisAmino AcidsProteome

Identifiers

PMID35467654
PMCPMC9899546
OpenAlexW4224863242

What OpenQuestion holds

Textmetadata
LicenceTDM
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.