Evidence map›Paper›PMID 26512033›Full record

ReviewBriefings in functional genomics2016

Building a KATalogue of acetyllysine targeting and function.

Michael Downey, Kristin Baetz

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Genes and Longevity of Lifespan.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Post-translational changes inFrontiers in immunology · 2022
    Article
  6. Article
  7. Lysine acetylation as drug target in fungi: an underexplored potential in Aspergillus spp.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mechanisms of Nucleosome Dynamics In Vivo.Cold Spring Harbor perspectives in medicine · 2016
    Review
  13. 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.

Michael Downey
Kristin Baetz

Funding

Canadian Institutes of Health Research MOP-142403
6 · The paper itself

Abstract

Acetylation is a dynamic post-translational modification that is attached to protein substrates by lysine acetyltransferases (KATs) and removed by lysine deacetylases (KDACs). While these enzymes are best characterized as histone modifiers and regulators of gene transcription, work in a number of systems highlights that acetylation is a pervasive modification and suggests a broad scope for KAT and KDAC functions in the cell. As we move beyond generating lists of acetylated proteins, the acetylation field is in dire need of robust tools to connect acetylation and deacetylation machineries to their respective substrates and to dissect the function of individual sites. The Saccharomyces cerevisiae model system provides such a toolkit in the context of both tried and true genetic techniques and cutting-edge proteomic and cell imaging methods. Here, we review these methods in the context of their contributions to acetylation research thus far and suggest strategies for addressing lingering questions in the field.

Indexed as

GenomicsProteomicsAcetylationAmidohydrolasesBiotinylationLysineLysine AcetyltransferasesProtein Array AnalysisProtein Processing, Post-TranslationalSaccharomyces cerevisiaeSynthetic Lethal MutationsTandem Mass SpectrometryAmidohydrolasesLysineLysine Acetyltransferasesacetylationacetylomehigh-content screeningKATKDACsynthetic lethality

Identifiers

PMID26512033
PMCPMC4803063

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.