ArticleAmerican journal of physiology. Endocrinology and metabolism2005
Corticosteroid-regulated genes in rat kidney: mining time series array data.
Article in American journal of physiology. Endocrinology and metabolism, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
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.
Who cites it
29 citing papers in PubMed, 48 citations in OpenAlex.
- Single-cell transcriptomics and chromatin accessibility profiling elucidate the kidney-protective mechanism of mineralocorticoid receptor antagonists.The Journal of clinical investigation · 2024Article
- Transitioning from Basic toward Systems Pharmacodynamic Models: Lessons from Corticosteroids.Pharmacological reviews · 2020Review
- Modeling Pathway Dynamics of the Skeletal Muscle Response to Intravenous Methylprednisolone (MPL) Administration in Rats: Dosing and Tissue Effects.Frontiers in bioengineering and biotechnology · 2020Article
- Pathway-Based Analysis of the Liver Response to Intravenous Methylprednisolone Administration in Rats: Acute Versus Chronic Dosing.Gene regulation and systems biology · 2019Article
- Mechanistic Multi-Tissue Modeling of Glucocorticoid-Induced Leucine Zipper Regulation: Integrating Circadian Gene Expression with Receptor-Mediated Corticosteroid Pharmacodynamics.The Journal of pharmacology and experimental therapeutics · 2017Article
- Functional proteomic analysis of corticosteroid pharmacodynamics in rat liver: Relationship to hepatic stress, signaling, energy regulation, and drug metabolism.Journal of proteomics · 2017Article
- Developmental Origins of Chronic Kidney Disease: Should We Focus on Early Life?International journal of molecular sciences · 2017Review
- Understanding Physiology in the Continuum: Integration of Information from Multiple -Frontiers in pharmacology · 2017Article
- Targeting on Asymmetric Dimethylarginine-Related Nitric Oxide-Reactive Oxygen Species Imbalance to Reprogram the Development of Hypertension.International journal of molecular sciences · 2016Review
- Response gene to complement 32 regulates the G2/M phase checkpoint during renal tubular epithelial cell repair.Cellular & molecular biology letters · 2016Article
- Renal Transcriptome Analysis of Programmed Hypertension Induced by Maternal Nutritional Insults.International journal of molecular sciences · 2015Article
- Quantitative tissue-specific dynamics of in vivo GILZ mRNA expression and regulation by endogenous and exogenous glucocorticoids.Physiological reports · 2015Article
- Transcriptome analysis in rat kidneys: importance of genes involved in programmed hypertension.International journal of molecular sciences · 2015Article
- Tandem analysis of transcriptome and proteome changes after a single dose of corticosteroid: a systems approach to liver function in pharmacogenomics.Omics : a journal of integrative biology · 2015Article
- Glucocorticoid effects on adiponectin expression.Vitamins and hormones · 2012Review
- Modeling autonomic regulation of cardiac function and heart rate variability in human endotoxemia.Physiological genomics · 2011Article
- Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: transcriptional dynamics and regulatory structures.BMC bioinformatics · 2010Article
- Oxygenomics in environmental stress.Redox report : communications in free radical research · 2010Review
- NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.Computers & chemical engineering · 2009Article
- In silico simulation of corticosteroids effect on an NFkB- dependent physicochemical model of systemic inflammation.PloS one · 2009Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Kidney is a major target for adverse effects associated with corticosteroids. A microarray dataset was generated to examine changes in gene expression in rat kidney in response to methylprednisolone. Four control and 48 drug-treated animals were killed at 16 times after drug administration. Kidney RNA was used to query 52 individual Affymetrix chips, generating data for 15,967 different probe sets for each chip. Mining techniques applicable to time series data that identify drug-regulated changes in gene expression were applied. Four sequential filters eliminated probe sets that were not expressed in the tissue, not regulated by drug, or did not meet defined quality control standards. These filters eliminated 14,890 probe sets (94%) from further consideration. Application of judiciously chosen filters is an effective tool for data mining of time series datasets. The remaining data can then be further analyzed by clustering and mathematical modeling. Initial analysis of this filtered dataset identified a group of genes whose pattern of regulation was highly correlated with prototype corticosteroid enhanced genes. Twenty genes in this group, as well as selected genes exhibiting either downregulation or no regulation, were analyzed for 5' GRE half-sites conserved across species. In general, the results support the hypothesis that the existence of conserved DNA binding sites can serve as an important adjunct to purely analytic approaches to clustering genes into groups with common mechanisms of regulation. This dataset, as well as similar datasets on liver and muscle, are available online in a format amenable to further analysis by others.
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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.