Evidence map›Paper›PMID 28255713›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Quantitative Phosphoproteomic Analysis of T-Cell Receptor Signaling.

Nagib Ahsan, Arthur R Salomon

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.0field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Nagib AhsanDivision of Biology and Medicine, Alpert Medical School, Brown University, Providence, RI, 02903, USA.
Arthur R SalomonCenter for Cancer Research and Development, Proteomics Core Facility, Rhode Island Hospital, Providence, RI, 02903, USA. art@drsalomon.com.
Center for Cancer Research · USRhode Island Hospital · US

Funding

Understand the metabolic fitness of naïve T cellsP01AI091580 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JEROEN ROOSE · 2011 to 2026
$31.1M
COBRE Center for Cancer Research DevelopmentP30GM110759 · NIGMS · RHODE ISLAND HOSPITAL · PI RAMRATNAM, BHARAT · 2015 to 2019
$6.3M
Phosphoproteomic Analysis of T Cell Activation PathwaysR01AI083636 · NIAID · BROWN UNIVERSITY · PI SALOMON, ARTHUR ROBERT · 2010 to 2021
$4.0M
Acquisition of an Orbitrap XL ETD Mass Spectrometer through Upgrading an LTQS10RR027027 · NCRR · BROWN UNIVERSITY · PI HAWROT, EDWARD · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027027NIAID NIH HHS P01 AI091580NIAID NIH HHS R01 AI083636NIGMS NIH HHS P30 GM110759
6 · The paper itself

Abstract

TCR signaling critically depends on protein phosphorylation across many proteins. Localization of each phosphorylation event relative to the T-cell receptor (TCR) and canonical T-cell signaling proteins will provide clues about the structure of TCR signaling networks. Quantitative phosphoproteomic analysis by mass spectrometry provides a wide-scale view of cellular phosphorylation networks. However, analysis of phosphorylation by mass spectrometry is still challenging due to the relative low abundance of phosphorylated proteins relative to all proteins and the extraordinary diversity of phosphorylation sites across the proteome. Highly selective enrichment of phosphorylated peptides is essential to provide the most comprehensive view of the phosphoproteome. Optimization of phosphopeptide enrichment methods coupled with highly sensitive mass spectrometry workflows significantly improves the sequencing depth of the phosphoproteome to over 10,000 unique phosphorylation sites from complex cell lysates. Here we describe a step-by-step method for phosphoproteomic analysis that has achieved widespread success for identification of serine, threonine, and tyrosine phosphorylation. Reproducible quantification of relative phosphopeptide abundance is provided by intensity-based label-free quantitation. An ideal set of mass spectrometry analysis parameters is also provided that optimize the yield of identified sites. We also provide guidelines for the bioinformatic analysis of this type of data to assess the quality of the data and to comply with proteomic data reporting requirements.

Indexed as

AnimalsHumansPhosphoproteinsPhosphorylationProteomicsReceptors, Antigen, T-CellSignal TransductionT-LymphocytesPhosphoproteinsReceptors, Antigen, T-CellImmunoaffinity purificationLabel-free quantitationMass spectrometryPhosphoproteomicsT-Cell signalingTyrosine phosphorylation

Identifiers

PMID28255713
PMCPMC5573147
OpenAlexW2593991541

What Socratic 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 Socratic graph.