Evidence map›Paper›PMID 22087660›Full record

ReviewExpert review of proteomics2011

Dissecting phosphorylation networks: lessons learned from yeast.

Janine Mok, Xiaowei Zhu, Michael Snyder

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
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  6. Review
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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.

Janine MokStanford Genome Technology Center, Department of Biochemistry, Stanford School of Medicine, 855 S. California Avenue, Palo Alto, CA 94304, USA.
Xiaowei Zhu
Michael Snyder

Funding

Protein Chips and Phosphorlyation Pathways in YeastR01GM062480 · NIGMS · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2001 to 2013
$5.8M
NIGMS NIH HHS R01 GM062480PHS HHS 48722
6 · The paper itself

Abstract

Protein phosphorylation continues to be regarded as one of the most important post-translational modifications found in eukaryotes and has been implicated in key roles in the development of a number of human diseases. In order to elucidate roles for the 518 human kinases, phosphorylation has routinely been studied using the budding yeast Saccharomyces cerevisiae as a model system. In recent years, a number of technologies have emerged to globally map phosphorylation in yeast. In this article, we review these technologies and discuss how these phosphorylation mapping efforts have shed light on our understanding of kinase signaling pathways and eukaryotic proteomic networks in general.

Indexed as

Models, BiologicalPhosphorylationProteomicsYeasts

Identifiers

PMID22087660
PMCPMC3262144

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.