Evidence map›Paper›PMID 24595109›Full record

ArticleScience signaling2014

mMAPS: a flow-proteometric technique to analyze protein-protein interactions in individual signaling complexes.

Chao-Kai Chou, Heng-Huan Lee, Pei-Hsiang Tsou, Chun-Te Chen, Jung-Mao Hsu, Hirohito Yamaguchi, Ying-Nai Wang, Hong-Jen Lee, Jennifer L Hsu, Jin-Fong Lee and 2 more

Open access · greenAbstract read
In one paragraph

Article in Science signaling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 7 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

12 authors at 2 institutions in 2 countries.

Chao-Kai Chou1Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Heng-Huan Lee
Pei-Hsiang Tsou
Chun-Te Chen
Jung-Mao Hsu
Hirohito Yamaguchi
Ying-Nai Wang
Hong-Jen Lee
Jennifer L Hsu
Jin-Fong Lee
Jun Kameoka
Mien-Chie Hung
The University of Texas MD Anderson Cancer Center · USTexas A&M University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Tyrosine Kinase-Dependant and - Independent Pathways of EGFR in Breast Cancer ProP01CA099031 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUNG, MIEN-CHIE · 2003 to 2014
$11.6M
Tumor Progression of Nuclear EGFR in Breast CancerR01CA109311 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUNG, MIEN-CHIE · 2004 to 2014
$3.0M
NCI NIH HHS CA099031NCI NIH HHS CA109311NCI NIH HHS CA16672NCI NIH HHS P01 CA099031NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA109311
6 · The paper itself

Abstract

Signal transduction is a dynamic process that regulates cellular functions through multiple types of biomolecular interactions, such as the interactions between proteins and between proteins and nucleic acids. However, the techniques currently available for identifying protein-protein or protein-nucleic acid complexes typically provide information about the overall population of signaling complexes in a sample instead of information about the individual signaling complexes therein. We developed a technique called "microchannel for multiparameter analysis of proteins in a single complex" (mMAPS) that simultaneously detected individual target proteins either singly or in a multicomponent complex in cell or tissue lysates. We detected the target proteins labeled with fluorophores by flow proteometry, which provided quantified data in the form of multidimensional fluorescence plots. Using mMAPS, we quantified individual complexes of epidermal growth factor (EGF) with its receptor EGFR, EGFR with signal transducer and activator of transcription 3 (STAT3), and STAT3 with the acetylase p300 and DNA in lysates from cultured cells with and without treatment with EGF, as well as in lysates from tumor xenograft tissue. Consistent with the ability of this method to reveal the dynamics of signaling protein interactions, we observed that cells treated with EGF induced the interaction of EGF with EGFR and the autophosphorylation of EGFR, but this interaction decreased with longer treatment time. Thus, we expect that this technique may reveal new aspects of molecular interaction dynamics.

Indexed as

Clinical Laboratory TechniquesEpidermal Growth FactorErbB ReceptorsFluorescenceMultiprotein ComplexesProtein Interaction MapsProteomicsSignal TransductionSTAT3 Transcription FactorEpidermal Growth FactorErbB ReceptorsMultiprotein ComplexesSTAT3 Transcription Factor

Identifiers

PMID24595109
PMCPMC4120848
OpenAlexW2157383338

What OpenQuestion holds

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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.