Evidence map›Paper›PMID 26312481›Full record

ArticlePLoS computational biology2015

Prediction of Functionally Important Phospho-Regulatory Events in Xenopus laevis Oocytes.

Jeffrey R Johnson, Silvia D Santos, Tasha Johnson, Ursula Pieper, Marta Strumillo, Omar Wagih, Andrej Sali, Nevan J Krogan, Pedro Beltrao

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

9 authors.

Jeffrey R JohnsonDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, United States of America.
Silvia D SantosQuantitative Cell Biology group, MRC Clinical Sciences Centre, Imperial College, London, United Kingdom.
Tasha JohnsonDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, United States of America.
Ursula PieperDepartment of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, Byers Hall at Mission Bay, University of California, San Francisco, San Francisco, California, United States of America; Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, Byers Hall at Mission Bay, University of California, San Francisco, San Francisco, California, United States of America.
Marta StrumilloEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany and European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom.
Omar WagihEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany and European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom.
Andrej SaliDepartment of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, Byers Hall at Mission Bay, University of California, San Francisco, San Francisco, California, United States of America; Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, Byers Hall at Mission Bay, University of California, San Francisco, San Francisco, California, United States of America.
Nevan J KroganDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, United States of America; Gladstone Institutes, San Francisco, California, United States of America.
Pedro BeltraoEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany and European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom; iBiMED and Department of Health Sciences, University of Aveiro, Aveiro, Portugal.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
SUBPROJECT 5U54GM074945 · NIGMS · SGX PHARMACEUTICALS, INC. · PI BURLEY, STEPHEN KEVIN · 2005 to 2009
$46.2M
Medical Research Council MC_UP_1102/9NIAID NIH HHS P30 AI027763NIGMS NIH HHS U54 GM074945NIGMS NIH HHS U54GM074945
6 · The paper itself

Abstract

The African clawed frog Xenopus laevis is an important model organism for studies in developmental and cell biology, including cell-signaling. However, our knowledge of X. laevis protein post-translational modifications remains scarce. Here, we used a mass spectrometry-based approach to survey the phosphoproteome of this species, compiling a list of 2636 phosphosites. We used structural information and phosphoproteomic data for 13 other species in order to predict functionally important phospho-regulatory events. We found that the degree of conservation of phosphosites across species is predictive of sites with known molecular function. In addition, we predicted kinase-protein interactions for a set of cell-cycle kinases across all species. The degree of conservation of kinase-protein interactions was found to be predictive of functionally relevant regulatory interactions. Finally, using comparative protein structure models, we find that phosphosites within structured domains tend to be located at positions with high conformational flexibility. Our analysis suggests that a small class of phosphosites occurs in positions that have the potential to regulate protein conformation.

Indexed as

AnimalsFemaleMass SpectrometryModels, MolecularOocytesPhosphoproteinsPhosphorylationProtein Interaction MapsProteomicsXenopus laevisPhosphoproteins

Identifiers

PMID26312481
PMCPMC4552029

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Registered trials

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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.