Evidence map›Paper›PMID 19855015›Full record

ReviewDevelopment (Cambridge, England)2009

Informatics approaches to understanding TGFbeta pathway regulation.

Pascal Kahlem, Stuart J Newfeld

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Pascal KahlemEMBL, European Bioinformatics Institute, Hinxton, Saffron Waldon CB10 1SD, UK.
Stuart J Newfeld

Funding

Validation of Amplified Genes in Pancreatic CancerP01CA109552 · NCI · TRANSLATIONAL GENOMICS RESEARCH INST · PI VON HOFF, DANIEL D · 2005 to 2009
$15.2M
Computatonal Analysis of Gene Expression Pattern ImagesR01HG002516 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR · 2003 to 2013
$5.3M
Transgenic analysis of Smad tumor suppressor genesR01CA095875 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NEWFELD, STUART J · 2002 to 2006
$1.5M
NCI NIH HHS CA095875NCI NIH HHS CA109552NHGRI NIH HHS HG002516
6 · The paper itself

Abstract

In recent years, informatics studies have predicted several new ways in which the transforming growth factor beta (TGFbeta) signaling pathway can be post-translationally regulated. Subsequently, many of these predictions were experimentally validated. These approaches include phylogenetic predictions for the phosphorylation, sumoylation and ubiquitylation of pathway components, as well as kinetic models of endocytosis, phosphorylation and nucleo-cytoplasmic shuttling. We review these studies and provide a brief ;how to' guide for phylogenetics. Our hope is to stimulate experimental tests of informatics-based predictions for TGFbeta signaling, as well as for other signaling pathways, and to expand the number of developmental pathways that are being analyzed computationally.

Indexed as

Signal TransductionAnimalsComputational BiologyHumansPhylogenyTransforming Growth Factor betaTransforming Growth Factor beta

Identifiers

PMID19855015
PMCPMC2766340

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.