Evidence map›Paper›PMID 34905167›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Lysine Acetylation Stoichiometry Analysis at the Proteome Level.

Jeovanis Gil, Sergio Encarnación-Guevara

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Biochemistry and regulation of histone lysine L-lactylation.Nature reviews. Molecular cell biology · 2026
    Review
  2. Article
  3. Article
  4. Frontiers in microbiology · 2022
    Article
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

2 authors at 2 institutions in 2 countries.

Jeovanis GilBiomarkers and Epidemiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Sergio Encarnación-GuevaraCenter for Genomic Sciences, National Autonomous University of Mexico, Cuernavaca, Morelos, Mexico. encarnac@ccg.unam.mx.
Lund University · SEUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysine acetylation is a widespread posttranslational modification (PTM) in all kingdoms of live. A large number of proteins involved in most of biological pathways are targets of this PTM. The lysine acetylation is a reversible modification controlled by two main groups of enzymes, lysine acetyltransferases responsible for transferring the acetyl group of acetylCoA to the side chain of lysine residues and lysine deacetylases which effectively remove the acetyl tag. Dysregulation of enzymes that control acetylation and/or target proteins have been associated with a growing number of human pathologies. Lysine acetylation is largely a modification that occurs at low stoichiometry at its target sites. Here we describe a method to identify lysine acetylation sites and estimate their site occupancy at the proteome scale. The method relies on a high-resolution mass spectrometry-based proteomics approach, which includes a specific chemical acetylation reaction on unmodified lysine residues that carry heavy isotopes. The procedures described here have been applied to cell line cultures and to clinically relevant samples stored as both snap-frozen and formalin-fixed paraffin-embedded (FFPE) tissues.

Indexed as

ProteomeAcetylationHumansLysineProtein Processing, Post-TranslationalProteomicsLysineProteomeCell linesFFPE tissueFrozen tissueLysine acetylationMass spectrometry-based proteomicsN-acetoxysuccinimide-d3Stoichiometry

Identifiers

PMID34905167
OpenAlexW4200264640

What OpenQuestion holds

Textmetadata
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.