Evidence map›Paper›PMID 29889213›Full record

ArticleNature biotechnology2018

Encoding human serine phosphopeptides in bacteria for proteome-wide identification of phosphorylation-dependent interactions.

Karl W Barber, Paul Muir, Richard V Szeligowski, Svetlana Rogulina, Mark Gerstein, Jeffrey R Sampson, Farren J Isaacs, Jesse Rinehart

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Phosphoproteome-derived peptide libraries for deep specificity profiling of phosphatases and phospholyases.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. BeyondChemical reviews · 2025
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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

8 authors at 2 institutions in 1 country.

Karl W BarberDepartment of Cellular & Molecular Physiology, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-0672-8409
Paul MuirSystems Biology Institute, Yale University, West Haven, Connecticut, USA.
Richard V SzeligowskiSystems Biology Institute, Yale University, West Haven, Connecticut, USA.
Svetlana RogulinaDepartment of Cellular & Molecular Physiology, Yale University, New Haven, Connecticut, USA.
Mark GersteinSystems Biology Institute, Yale University, West Haven, Connecticut, USA.ORCID 0000-0002-9746-3719
Jeffrey R SampsonAgilent Laboratories, Agilent Technologies, Santa Clara, California, USA.
Farren J IsaacsSystems Biology Institute, Yale University, West Haven, Connecticut, USA.ORCID 0000-0001-8615-8236
Jesse RinehartDepartment of Cellular & Molecular Physiology, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-4839-4005
Yale University · USAgilent Technologies (United States) · US

Funding

The Regulation of Renal Epithelial Cell Junction Assembly and PolarizationP01DK017433 · NIDDK · YALE UNIVERSITY · PI FORBUSH, BLISS · 1986 to 2018
$29.5M
Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
Revealing substrates and phosphoproteome level function of human STE20 kinasesR01GM117230 · NIGMS · YALE UNIVERSITY · PI ISAACS, FARREN J., RINEHART, JESSE · 2015 to 2024
$3.2M
Prioritizing rare variants associated with cancer using non-coding annotationR01HG008126 · NHGRI · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER · 2016 to 2018
$2.4M
Expanding the genetic code with phosphotyrosine and phosphothreonineR01GM125951 · NIGMS · YALE UNIVERSITY · PI ISAACS, FARREN J., RINEHART, JESSE · 2018 to 2021
$1.2M
NCI NIH HHS U54 CA209992NHGRI NIH HHS R01 HG008126NIDDK NIH HHS P01 DK017433NIGMS NIH HHS R01 GM117230NIGMS NIH HHS R01 GM125951
6 · The paper itself

Abstract

Post-translational phosphorylation is essential to human cellular processes, but the transient, heterogeneous nature of this modification complicates its study in native systems. We developed an approach to interrogate phosphorylation and its role in protein-protein interactions on a proteome-wide scale. We genetically encoded phosphoserine in recoded E. coli and generated a peptide-based heterologous representation of the human serine phosphoproteome. We designed a single-plasmid library encoding >100,000 human phosphopeptides and confirmed the site-specific incorporation of phosphoserine in >36,000 of these peptides. We then integrated our phosphopeptide library into an approach known as Hi-P to enable proteome-level screens for serine-phosphorylation-dependent human protein interactions. Using Hi-P, we found hundreds of known and potentially new phosphoserine-dependent interactors with 14-3-3 proteins and WW domains. These phosphosites retained important binding characteristics of the native human phosphoproteome, as determined by motif analysis and pull-downs using full-length phosphoproteins. This technology can be used to interrogate user-defined phosphoproteomes in any organism, tissue, or disease of interest.

Indexed as

14-3-3 ProteinsAmino Acid MotifsEscherichia coliGene LibraryHumansPeptidesPhosphorylationPhosphoserinePlasmidsProtein Interaction MapsProteomeSerine ProteasesWW Domains14-3-3 ProteinsPeptidesPhosphoserineProteomeSerine Proteases

Identifiers

PMID29889213
PMCPMC6590076
OpenAlexW2808325313

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.