Evidence map›Paper›PMID 22141333›Full record

ArticleJournal of proteome research2012

Phosphorylation of yeast transcription factors correlates with the evolution of novel sequence and function.

Mark Kaganovich, Michael Snyder

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Where do phosphosites come from and where do they go after gene duplication?International journal of evolutionary biology · 2012
    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 1 institution in 1 country.

Mark KaganovichDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, United States.
Michael Snyder
Stanford University · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
NHGRI NIH HHS T32 HG000044
6 · The paper itself

Abstract

Gene duplication is a significant source of novel genes and the dynamics of gene duplicate retention vs loss are poorly understood, particularly in terms of the functional and regulatory specialization of their gene products. We compiled a comprehensive data set of S. cerevisiae phosphosites to study the role of phosphorylation in yeast paralog divergence. We found that proteins coded by duplicated genes created in the Whole Genome Duplication (WGD) event and in a period prior to the WGD are significantly more phosphorylated than other duplicates or singletons. Though the amino acid sequence of each paralog of a given pair tends to diverge fairly similarly from their common ortholog in a related species, the phosphorylated amino acids tend to diverge in sequence from the ortholog at different rates. We observed that transcription factors (TFs) are disproportionately present among the set of duplicate genes and among the set of proteins that are phosphorylated. Interestingly, TFs that occur on higher levels of the transcription network hierarchy (i.e., tend to regulate other TFs) tend to be more phosphorylated than lower-level TFs. We found that TF paralog divergence in expression, binding, and sequence correlates with the abundance of phosphosites. Overall, these studies have important implications for understanding divergence of gene function and regulation in eukaryotes.

Indexed as

Evolution, MolecularAmino Acid SequenceGene Expression Regulation, FungalGene Regulatory NetworksMolecular Sequence DataPhosphoproteinsPhosphorylationSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, ProteinSequence Homology, Amino AcidTranscription FactorsPhosphoproteinsSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID22141333
PMCPMC4077355
OpenAlexW2074642367

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.