Evidence map›Paper›PMID 21594272›Full record

ArticleMolecular bioSystems2011

Relating protein adduction to gene expression changes: a systems approach.

Bing Zhang, Zhiao Shi, Dexter T Duncan, Naresh Prodduturi, Lawrence J Marnett, Daniel C Liebler

Abstract read
In one paragraph

Article in Molecular bioSystems, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Integrative genomics analysis identifies candidate drivers at 3q26-29 amplicon in squamous cell carcinoma of the lung.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Pooled it
  2. Lipoxin AbioRxiv : the preprint server for biology · 2024
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  15. SAMNet: a network-based approach to integrate multi-dimensional high throughput datasets.Integrative biology : quantitative biosciences from nano to macro · 2012
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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

6 authors at 2 institutions in 1 country.

Bing ZhangDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA. bing.zhang@vanderbilt.edu
Zhiao Shi
Dexter T Duncan
Naresh Prodduturi
Lawrence J Marnett
Daniel C Liebler
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Structural Biology Facility CoreP30ES000267 · NIEHS · VANDERBILT UNIVERSITY · PI GUENGERICH, F PETER · 1985 to 2014
$20.3M
Protein Adducts and Proteome Profiles in Oxidative StressP01ES013125 · NIEHS · VANDERBILT UNIVERSITY · PI PORTER, NED ALLEN · 2005 to 2012
$12.6M
Systems Approach to the Biological Basis of Colon Cancer MetastasesR01GM088822 · NIGMS · VANDERBILT UNIVERSITY · PI BEAUCHAMP, ROBERT DANIEL, ZHANG, BING · 2009 to 2012
$1.5M
NIEHS NIH HHS P01 ES013125NIEHS NIH HHS P30 ES000267NIGMS NIH HHS R01 GM088822
6 · The paper itself

Abstract

Modification of proteins by reactive electrophiles such as the 4-hydroxy-2-nonenal (HNE) plays a critical role in oxidant-associated human diseases. However, little is known about protein adduction and the mechanism by which protein damage elicits adaptive effects and toxicity. We developed a systems approach for relating protein adduction to gene expression changes through the integration of protein adduction, gene expression, protein-DNA interaction, and protein-protein interaction data. Using a random walk strategy, we expanded a list of responsive transcription factors inferred from gene expression studies to upstream signaling networks, which in turn allowed overlaying protein adduction data on the network for the prediction of stress sensors and their associated regulatory mechanisms. We demonstrated the general applicability of transcription factor-based signaling network inference using 103 known pathways. Applying our workflow on gene expression and protein adduction data from HNE-treatment not only rediscovered known mechanisms of electrophile stress but also generated novel hypotheses regarding protein damage sensors. Although developed for analyzing protein adduction data, the framework can be easily adapted for phosphoproteomics and other types of protein modification data.

Indexed as

Gene Expression RegulationAldehydesDNA DamageHeat-Shock ProteinsHumansProteinsSignal TransductionSystems BiologyTranscription FactorsTranscription, Genetic4-hydroxy-2-nonenalAldehydesHeat-Shock ProteinsProteinsTranscription Factors

Identifiers

PMID21594272
PMCPMC3659419
OpenAlexW2017215392

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.