Evidence map›Paper›PMID 23608596›Full record

ArticleMolecular & cellular proteomics : MCP2013

Systems-wide analysis of K-Ras, Cdc42, and PAK4 signaling by quantitative phosphoproteomics.

Florian Gnad, Amy Young, Wei Zhou, Karen Lyle, Christy C Ong, Matthew P Stokes, Jeffrey C Silva, Marcia Belvin, Lori S Friedman, Hartmut Koeppen and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Article
  3. Posttranslational Regulation of Mammalian Sulfur Amino Acid Metabolism.International journal of molecular sciences · 2025
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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 3 institutions in 2 countries.

Florian GnadDepartment of Bioinformatics and Computational Biology, Genentech, Inc., South San Francisco, California 94080, USA. gnadf@gene.com
Amy Young
Wei Zhou
Karen Lyle
Christy C Ong
Matthew P Stokes
Jeffrey C Silva
Marcia Belvin
Lori S Friedman
Hartmut Koeppen
Audrey Minden
Klaus P Hoeflich
Cell Signaling Technology (United States) · USGene Therapy Laboratory · FRRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although K-Ras, Cdc42, and PAK4 signaling are commonly deregulated in cancer, only a few studies have sought to comprehensively examine the spectrum of phosphorylation-mediated signaling downstream of each of these key signaling nodes. In this study, we completed a label-free quantitative analysis of oncogenic K-Ras, activated Cdc42, and PAK4-mediated phosphorylation signaling, and report relative quantitation of 2152 phosphorylated peptides on 1062 proteins. We define the overlap in phosphopeptides regulated by K-Ras, Cdc42, and PAK4, and find that perturbation of these signaling components affects phosphoproteins associated with microtubule depolymerization, cytoskeletal organization, and the cell cycle. These findings provide a resource for future studies to characterize novel targets of oncogenic K-Ras signaling and validate biomarkers of PAK4 inhibition.

Indexed as

Animalscdc42 GTP-Binding ProteinMiceNIH 3T3 Cellsp21-Activated KinasesPhosphopeptidesPhosphoproteinsPhosphorylationProteomicsProto-Oncogene Proteins p21(ras)Signal Transductioncdc42 GTP-Binding ProteinCdc42 protein, mouseHras protein, mousep21-Activated KinasesPak4 protein, mousePhosphopeptidesPhosphoproteinsProto-Oncogene Proteins p21(ras)

Identifiers

PMID23608596
PMCPMC3734570
OpenAlexW2166537719

What OpenQuestion holds

Textmetadata
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.