Evidence map›Paper›PMID 36927728›Full record

ArticleeLife2023

High-throughput profiling of sequence recognition by tyrosine kinases and SH2 domains using bacterial peptide display.

Allyson Li, Rashmi Voleti, Minhee Lee, Dejan Gagoski, Neel H Shah

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 24 citations in OpenAlex.

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  14. Development of a Peptide Inhibitor Targeting the C-SH2 Domain of the SHP2 Phosphatase.Chembiochem : a European journal of chemical biology · 2025
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  20. The pathogenic T42A mutation in SHP2 rewires the interaction specificity of its N-terminal regulatory domain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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.

Allyson LiDepartment of Chemistry, Columbia University, New York, United States.ORCID 0000-0003-2359-7703
Rashmi VoletiDepartment of Chemistry, Columbia University, New York, United States.ORCID 0000-0002-3705-7460
Minhee LeeDepartment of Chemistry, Columbia University, New York, United States.ORCID 0000-0002-7141-7351
Dejan GagoskiDepartment of Chemistry, Columbia University, New York, United States.ORCID 0000-0001-6194-8514
Neel H ShahDepartment of Chemistry, Columbia University, New York, United States.ORCID 0000-0002-1186-0626
Columbia University · US

Funding

Probing tyrosine phosphatase structure and functionR35GM138014 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHAH, NEEL H · 2020 to 2024
$2.3M
NIGMS NIH HHS R35 GM138014
6 · The paper itself

Abstract

Tyrosine kinases and SH2 (phosphotyrosine recognition) domains have binding specificities that depend on the amino acid sequence surrounding the target (phospho)tyrosine residue. Although the preferred recognition motifs of many kinases and SH2 domains are known, we lack a quantitative description of sequence specificity that could guide predictions about signaling pathways or be used to design sequences for biomedical applications. Here, we present a platform that combines genetically encoded peptide libraries and deep sequencing to profile sequence recognition by tyrosine kinases and SH2 domains. We screened several tyrosine kinases against a million-peptide random library and used the resulting profiles to design high-activity sequences. We also screened several kinases against a library containing thousands of human proteome-derived peptides and their naturally-occurring variants. These screens recapitulated independently measured phosphorylation rates and revealed hundreds of phosphosite-proximal mutations that impact phosphosite recognition by tyrosine kinases. We extended this platform to the analysis of SH2 domains and showed that screens could predict relative binding affinities. Finally, we expanded our method to assess the impact of non-canonical and post-translationally modified amino acids on sequence recognition. This specificity profiling platform will shed new light on phosphotyrosine signaling and could readily be adapted to other protein modification/recognition domains.

Indexed as

Protein-Tyrosine Kinasessrc Homology DomainsHumansPeptide LibraryPhosphopeptidesPhosphotransferasesPhosphotyrosineTyrosinePeptide LibraryPhosphopeptidesPhosphotransferasesPhosphotyrosineProtein-Tyrosine KinasesTyrosineamber suppressionbiochemistrycell signalingchemical biologydeep sequencingE. coliphosphotyrosinesequence specificityvariant effects

Identifiers

PMID36927728
PMCPMC10065799
OpenAlexW4327587846

What Socratic 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 Socratic graph.