Evidence map›Paper›PMID 33942139›Full record

ArticleAnalytical and bioanalytical chemistry2021

Peptide array-based interactomics.

Daniel Perez Hernandez, Gunnar Dittmar

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Peptide Microarrays for Studying Autoantibodies in Neurological Disease.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Review
  6. 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 1 country.

Daniel Perez HernandezProteomics of Cellular Signalling, Department of Infection and Immunity, Luxembourg Institute of Health, 1 A Rue Thomas Edison, 1445, Strassen, Luxembourg.
Gunnar DittmarProteomics of Cellular Signalling, Department of Infection and Immunity, Luxembourg Institute of Health, 1 A Rue Thomas Edison, 1445, Strassen, Luxembourg. gunnar.dittmar@lih.lu.ORCID http://orcid.org/0000-0003-3647-8623
Luxembourg Institute of Health · LUUniversity of Luxembourg · LU

Funding

Fonds National de la Recherche Luxembourg 14707743 - CovSerum
6 · The paper itself

Abstract

The analysis of protein-protein interactions (PPIs) is essential for the understanding of cellular signaling. Besides probing PPIs with immunoprecipitation-based techniques, peptide pull-downs are an alternative tool specifically useful to study interactome changes induced by post-translational modifications. Peptides for pull-downs can be chemically synthesized and thus offer the possibility to include amino acid exchanges and post-translational modifications (PTMs) in the pull-down reaction. The combination of peptide pull-down and analysis of the binding partners with mass spectrometry offers the direct measurement of interactome changes induced by PTMs or by amino acid exchanges in the interaction site. The possibility of large-scale peptide synthesis on a membrane surface opened the possibility to systematically analyze interactome changes for mutations of many proteins at the same time. Short linear motifs (SLiMs) are amino acid patterns that can mediate protein binding. A significant number of SLiMs are located in regions of proteins, which are lacking a secondary structure, making the interaction motifs readily available for binding reactions. Peptides are particularly well suited to study protein interactions, which are based on SLiM-mediated binding. New technologies using arrayed peptides for interaction studies are able to identify SLIM-based interaction and identify the interaction motifs.

Indexed as

Protein Interaction MappingImmunoprecipitationMass SpectrometryPeptidesPeptidesIDRInteractomicsPRISMAProteomicsPTMSLiM

Identifiers

PMID33942139
PMCPMC8092715
OpenAlexW3159731292

What OpenQuestion holds

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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.