Evidence map›Paper›PMID 21073694›Full record

ArticleBMC systems biology2010

Patterns of human gene expression variance show strong associations with signaling network hierarchy.

Kakajan Komurov, Prahlad T Ram

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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 at 1 institution in 1 country.

Kakajan KomurovDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, 7435 Fannin St, Houston, TX 77054, USA. kkomurov@mdanderson.org
Prahlad T Ram
The University of Texas MD Anderson Cancer Center · US

Funding

Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2004 to 2014
$27.1M
Determinants of signaling network regulation in combinatorial targeted therapiesR01CA125109 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI RAM, PRAHLAD T · 2008 to 2010
$1.1M
NCI NIH HHS R01CA125109NCI NIH HHS U54 CA112970
6 · The paper itself

Abstract

backgroundUnderstanding organizational principles of cellular networks is one of the central goals of systems biology. Although much has been learnt about gene expression programs under specific conditions, global patterns of expressional variation (EV) of genes and their relationship to cellular functions and physiological responses is poorly understood.

resultsTo understand global principles of relationship between transcriptional regulation of human genes and their functions, we have leveraged large-scale datasets of human gene expression measurements across a wide spectrum of cell conditions. We report that human genes are highly diverse in terms of their EV; while some genes have highly variable expression pattern, some seem to be relatively ubiquitously expressed across a wide range of conditions. The wide spectrum of gene EV strongly correlates with the positioning of proteins within the signaling network hierarchy, such that, secreted extracellular receptor ligands and membrane receptors have the highest EV, and intracellular signaling proteins have the lowest EV in the genome. Our analysis shows that this pattern of EV reflects functional centrality: proteins with highly specific signaling functions are modulated more frequently than those with highly central functions in the network, which is also consistent with previous studies on tissue-specific gene expression. Interestingly, these patterns of EV along the signaling network hierarchy have significant correlations with promoter architectures of respective genes.

conclusionOur analyses suggest a generic systems level mechanism of regulation of the cellular signaling network at the transcriptional level.

Indexed as

Extracellular SpaceGene Expression ProfilingHumansOrgan SpecificityPromoter Regions, GeneticProteinsRNA, MessengerRNA Polymerase IISignal TransductionTranscription, GeneticProteinsRNA, MessengerRNA Polymerase II

Identifiers

PMID21073694
PMCPMC2992512
OpenAlexW2125870006

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.