Evidence map›Paper›PMID 34468274›Full record

ReviewExpert review of proteomics2021

Phosphoproteomics: a valuable tool for uncovering molecular signaling in cancer cells.

Jacqueline S Gerritsen, Forest M White

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of proteomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.5field-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

44 citing papers in PubMed, 77 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 1 institution in 1 country.

Jacqueline S GerritsenKoch Institute for Integrative Cancer Research; Center for Precision Cancer Medicine; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, U.S.A.
Forest M WhiteKoch Institute for Integrative Cancer Research; Center for Precision Cancer Medicine; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, U.S.A.
Massachusetts Institute of Technology · US

Funding

Trans Network ProjectU54CA210180 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2016 to 2020
$10.2M
Precision lung cancer therapy design through multiplexed adapter measurementU01CA215709 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HAURA, ERIC B., MEYER, AARON SAMUEL · 2017 to 2021
$2.3M
Identification of adaptive response mechanisms in breast cancer by information theory and proteomicsU01CA238720 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KRAVCHENKO-BALASHA, NATALY, WHITE, FOREST M · 2019 to 2023
$2.0M
Promoting Receptor Protein Tyrosine Phosphatase Activity by TargetingTransmembrane Domain InteractionsR01GM139998 · NIGMS · LEHIGH UNIVERSITY · PI LAZZARA, MATTHEW J, THEVENIN, DAMIEN · 2020 to 2023
$1.7M
NCI NIH HHS U01 CA215709NCI NIH HHS U01 CA238720NCI NIH HHS U54 CA210180NIGMS NIH HHS R01 GM139998
6 · The paper itself

Abstract

introductionMany pathologies, including cancer, have been associated with aberrant phosphorylation-mediated signaling networks that drive altered cell proliferation, migration, metabolic regulation, and can lead to systemic inflammation. Phosphoproteomics, the large-scale analysis of protein phosphorylation sites, has emerged as a powerful tool to define signaling network regulation and dysregulation in normal and pathological conditions. AREAS COVERED: We provide an overview of methodology for global phosphoproteomics as well as enrichment of specific subsets of the phosphoproteome, including phosphotyrosine and phospho-motif enrichment of kinase substrates. We review quantitative methods, advantages and limitations of different mass spectrometry acquisition formats, and computational approaches to extract biological insight from phosphoproteomics data. Throughout, we discuss various applications and their challenges in implementation. EXPERT OPINION: Over the past 20 years the field of phosphoproteomics has advanced to enable deep biological and clinical insight through the quantitative analysis of signaling networks. Future areas of development include Clinical Laboratory Improvement Amendments (CLIA)-approved methods for analysis of clinical samples, continued improvements in sensitivity to enable analysis of small numbers of rare cells and tissue microarrays, and computational methods to integrate data resulting from multiple systems-level quantitative analytical methods.

Indexed as

NeoplasmsProteomicsMass SpectrometryPhosphoproteinsPhosphorylationSignal TransductionPhosphoproteinsCancercellular networkskinase activitymass spectrometrymolecular signalingphosphoproteomicsphosphorylation

Identifiers

PMID34468274
PMCPMC8628306
OpenAlexW3198829668

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.