Evidence map›Paper›PMID 20334672›Full record

SynthesisBMC genomics2010

Reciprocal regulation of metabolic and signaling pathways.

Andreas S Barth, Ami Kumordzie, Carlo Colantuoni, Kenneth B Margulies, Thomas P Cappola, Gordon F Tomaselli

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.1field-weighted citation impact, top 45% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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 3 institutions in 1 country.

Andreas S BarthDepartment of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA.
Ami Kumordzie
Carlo Colantuoni
Kenneth B Margulies
Thomas P Cappola
Gordon F Tomaselli
Johns Hopkins Medicine · USUniversity of Pennsylvania · USJohns Hopkins University · US

Funding

Pathobiology of Cardiac Dyssynchrony &ResynchronizationP01HL077180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI VAN EYK, JENNIFER E · 2004 to 2014
$22.8M
PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
Genomics of myocardial transcription factors in cardiac remodelingR01HL088577 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, THOMAS P. · 2007 to 2013
$5.3M
Expression Profiling in Canine Models of Human DiseaseR01HL072488 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TOMASELLI, GORDON FRANK · 2002 to 2005
$3.2M
MECHANISMS OF IMPROVED DIASTOLIC FUNCTION IN HUMAN HEARTR01AG017022 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MARGULIES, KENNETH BER · 1998 to 2007
$2.9M
Biomarkers of Sudden Death and Progressive Heart FailureRC1HL099892 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TOMASELLI, GORDON FRANK · 2009 to 2010
$998k
The Systems Biology of Sudden Cardiac DeathR33HL087345 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI WINSLOW, RAIMOND LESTER · 2007 to 2009
$854k
Transcriptional modules in human heart failureR21HL092379 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, THOMAS P., HANNENHALLI, SRIDHAR · 2008 to 2009
$433k
NHLBI NIH HHS HL072488NHLBI NIH HHS NIH P01 HL077180NHLBI NIH HHS NIH T32 HL007227NHLBI NIH HHS R01 HL088577NHLBI NIH HHS R21 HL092379NHLBI NIH HHS R33 HL087345NHLBI NIH HHS RC1HL099892NIA NIH HHS R01 AG17022
6 · The paper itself

Abstract

backgroundBy studying genome-wide expression patterns in healthy and diseased tissues across a wide range of pathophysiological conditions, DNA microarrays have revealed unique insights into complex diseases. However, the high-dimensionality of microarray data makes interpretation of heterogeneous gene expression studies inherently difficult.

resultsUsing a large-scale analysis of more than 40 microarray studies encompassing ~2400 mammalian tissue samples, we identified a common theme across heterogeneous microarray studies evident by a robust genome-wide inverse regulation of metabolic and cell signaling pathways: We found that upregulation of cell signaling pathways was invariably accompanied by downregulation of cell metabolic transcriptional activity (and vice versa). Several findings suggest that this characteristic gene expression pattern represents a new principle of mammalian transcriptional regulation. First, this coordinated transcriptional pattern occurred in a wide variety of physiological and pathophysiological conditions and was identified across all 20 human and animal tissue types examined. Second, the differences in metabolic gene expression predicted the magnitude of differences for signaling and all other pathways, i.e. tissue samples with similar expression levels of metabolic transcripts did not show any differences in gene expression for all other pathways. Third, this transcriptional pattern predicted a profound effect on the proteome, evident by differences in structure, stability and post-translational modifications of proteins belonging to signaling and metabolic pathways, respectively.

conclusionsOur data suggest that in a wide range of physiological and pathophysiological conditions, gene expression changes exhibit a recurring pattern along a transcriptional axis, characterized by an inverse regulation of major metabolic and cell signaling pathways. Given its widespread occurrence and its predicted effects on protein structure, protein stability and post-translational modifications, we propose a new principle for transcriptional regulation in mammalian biology.

Indexed as

Gene Expression RegulationMetabolic Networks and PathwaysSignal TransductionAnimalsGene Expression ProfilingHumansOligonucleotide Array Sequence Analysis

Identifiers

PMID20334672
PMCPMC2861677
OpenAlexW2158280727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.