Evidence map›Paper›PMID 24201312›Full record

ArticleMolecular bioSystems2014

Integrated analysis of the Wnt responsive proteome in human cells reveals diverse and cell-type specific networks.

J Song, Z Wang, R M Ewing

Abstract read
In one paragraph

Article in Molecular bioSystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 16 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

3 authors at 2 institutions in 2 countries.

J SongCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH 44106, USA. jing.song@case.edu.
Z Wang
R M Ewing
Case Western Reserve University · USUniversity of Southampton · GB

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARK R CHANCE · 1987 to 2026
$142.3M
Targeting 15-PGDH in Colon Cancer Prognosis, Prediction, Treatment and PreventionP50CA150964 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARKOWITZ, SANFORD D. · 2011 to 2022
$24.6M
Mechanisms of suppression of colon cancer by receptor tyrosine phosphatase PTPRTR01CA127590 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI WANG, ZHENGHE · 2007 to 2017
$2.9M
Training Programs in Cancer PharmacologyR25CA148052 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI NOY, NOA · 2010 to 2014
$2.1M
Developing novel technology for mapping dynamic oncoprotein interaction networksR21CA160060 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI WANG, ZHENGHE · 2012 to 2013
$464k
TRANSCRIPTION FACTORS IN DEVELOPMENTR01CA016006 · NCI · ROCKEFELLER UNIVERSITY · PI DARNELL, JAMES E · 1985 to 1998
–
NCI NIH HHS 1R21CA16006NCI NIH HHS P30 CA043703NCI NIH HHS P30CA043703NCI NIH HHS P50 CA150964NCI NIH HHS P50CA150964NCI NIH HHS R01 CA127590NCI NIH HHS R01CA127590NCI NIH HHS R21 CA160060NCI NIH HHS R21CA160060NCI NIH HHS R25 CA148052NCI NIH HHS R25CA148052
6 · The paper itself

Abstract

Wnt signalling is a fundamentally important signalling pathway that regulates many aspects of metazoan development and is frequently dysregulated in cancer. Although many of the core components of the Wnt signalling pathway, such as β-catenin, have been extensively studied, the broad systems level responses of the mammalian cell to Wnt signalling are less well understood. In addition, the cell- or tissue-specific protein networks that modulate Wnt signalling in the diverse tissues or developmental stages in which it functions remain to be defined. To address these questions, we undertook a broad survey of the Wnt response in different human cell lines using both interaction and expression proteomics approaches. Our data reveal both similar and divergent responses of pathways and processes in the three cell-lines analyzed as well as a marked attenuation of the response to exogenous Wnt treatment in cells harbouring a stabilizing (activating) mutation of β-catenin. We also identify cell-type specific components of the Wnt signalling network and find that by integrating expression and interaction proteomics data a more complete description of the Wnt interaction network can be achieved. Finally, our results attest to the power of LC-MS/MS to reveal novel cellular responses in even relatively well studied biological pathways such as Wnt signalling.

Indexed as

beta CateninColorectal NeoplasmsGene Expression Regulation, NeoplasticHCT116 CellsHEK293 CellsHumansProtein Interaction MapsProteomeSignal TransductionTandem Mass SpectrometryWnt3A ProteinWnt Signaling Pathwaybeta CateninProteomeWnt3A ProteinWNT3A protein, human

Identifiers

PMID24201312
PMCPMC3909504
OpenAlexW2146311087

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.