Evidence map›Paper›PMID 23842000›Full record

ArticleMolecular & cellular proteomics : MCP2013

Identification of methyllysine peptides binding to chromobox protein homolog 6 chromodomain in the human proteome.

Nan Li, Richard S L Stein, Wei He, Elizabeth Komives, Wei Wang

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Nan LiDepartment of Chemistry and Biochemistry, 9500 Gilman Drive, University of California, San Diego, La Jolla, California 92093-0359;
Richard S L Stein
Wei He
Elizabeth Komives
Wei Wang
University of California, San Diego · US

Funding

Protein recognition for modular domainsR01GM085188 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, WEI · 2009 to 2012
$1.2M
NIGMS NIH HHS GM085188NIGMS NIH HHS R01 GM085188
6 · The paper itself

Abstract

Methylation is one of the important post-translational modifications that play critical roles in regulating protein functions. Proteomic identification of this post-translational modification and understanding how it affects protein activity remain great challenges. We tackled this problem from the aspect of methylation mediating protein-protein interaction. Using the chromodomain of human chromobox protein homolog 6 as a model system, we developed a systematic approach that integrates structure modeling, bioinformatics analysis, and peptide microarray experiments to identify lysine residues that are methylated and recognized by the chromodomain in the human proteome. Given the important role of chromobox protein homolog 6 as a reader of histone modifications, it was interesting to find that the majority of its interacting partners identified via this approach function in chromatin remodeling and transcriptional regulation. Our study not only illustrates a novel angle for identifying methyllysines on a proteome-wide scale and elucidating their potential roles in regulating protein function, but also suggests possible strategies for engineering the chromodomain-peptide interface to enhance the recognition of and manipulate the signal transduction mediated by such interactions.

Indexed as

Chromosomal Proteins, Non-HistoneHumansLysineMethylationModels, MolecularPeptidesProtein Processing, Post-TranslationalProtein Structure, TertiaryProteomeChromosomal Proteins, Non-HistoneLysinePeptidesProteome

Identifiers

PMID23842000
PMCPMC3790288
OpenAlexW2095810583

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.