ArticlePhysiological genomics2010
Dynamism in gene expression across multiple studies.
Article in Physiological genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identification of human housekeeping genes and tissue-selective genes by microarray meta-analysis.PloS one · 2011Pooled it
- It is time to take timing seriously in clinical genetics.European journal of human genetics : EJHG · 2015Article
- Systems Biology Approaches and Applications in Obesity, Diabetes, and Cardiovascular Diseases.Current cardiovascular risk reports · 2013Article
- Clinical utility of sequence-based genotype compared with that derivable from genotyping arrays.Journal of the American Medical Informatics Association : JAMIA · 2012Article
- Comprehensive literature review and statistical considerations for microarray meta-analysis.Nucleic acids research · 2012Review
- ProfileChaser: searching microarray repositories based on genome-wide patterns of differential expression.Bioinformatics (Oxford, England) · 2011Article
- Predicting gene ontology from a global meta-analysis of 1-color microarray experiments.BMC bioinformatics · 2011Article
- A global map of human gene expression.Nature biotechnology · 2010Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
In this study we develop methods of examining gene expression dynamics, how and when genes change expression, and demonstrate their application in a meta-analysis involving over 29,000 microarrays. By defining measures across many experimental conditions, we have a new way of characterizing dynamics, complementary to measures looking at changes in absolute variation or breadth of tissues showing expression. We show conservation in overall patterns of dynamism across three species (human, mouse, and rat) and show associations with known disease-related genes. We discuss the enriched functional properties of the sets of genes showing different patterns of dynamics and show that the differences in expression dynamics is associated with the variety of different transcription factor regulatory sites. These results can influence thinking about the selection of genes for microarray design and the analysis of measurements of mRNA expression variation in a global context of expression dynamics across many conditions, as genes that are rarely differentially expressed between experimental conditions may be the subject of increased scrutiny when they significantly vary in expression between experimental subsets.
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Registered trials
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.