ArticlePharmacogenomics2004
The genomic response of skeletal muscle to methylprednisolone using microarrays: tailoring data mining to the structure of the pharmacogenomic time series.
Article in Pharmacogenomics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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
20 citing papers in PubMed.
- Pathway-level analysis of genome-wide circadian dynamics in diverse tissues in rat and mouse.Journal of pharmacokinetics and pharmacodynamics · 2021Article
- 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
- Functional proteomic analysis of corticosteroid pharmacodynamics in rat liver: Relationship to hepatic stress, signaling, energy regulation, and drug metabolism.Journal of proteomics · 2017Article
- Highly multiplexed and reproducible ion-current-based strategy for large-scale quantitative proteomics and the application to protein expression dynamics induced by methylprednisolone in 60 rats.Analytical chemistry · 2014Article
- Tissue-specific gene expression and regulation in liver and muscle following chronic corticosteroid administration.Gene regulation and systems biology · 2014Article
- Glucocorticoid effects on adiponectin expression.Vitamins and hormones · 2012Review
- Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: transcriptional dynamics and regulatory structures.BMC bioinformatics · 2010Article
- Pharmacodynamic/pharmacogenomic modeling of insulin resistance genes in rat muscle after methylprednisolone treatment: exploring regulatory signaling cascades.Gene regulation and systems biology · 2008Article
- Pharmacodynamic modeling of acute and chronic effects of methylprednisolone on hepatic urea cycle genes in rats.Gene regulation and systems biology · 2008Article
- Microarray analysis of the temporal response of skeletal muscle to methylprednisolone: comparative analysis of two dosing regimens.Physiological genomics · 2007Article
- A microarray analysis of the temporal response of liver to methylprednisolone: a comparative analysis of two dosing regimens.Endocrinology · 2007Article
- Application of scaling factors in simultaneous modeling of microarray data from diverse chips.Pharmaceutical research · 2007Article
- Temporal changes in gene expression in rainbow trout exposed to ethynyl estradiol.Comparative biochemistry and physiology. Toxicology & pharmacology : CBP · 2007Article
- Bioinformatics analysis of the early inflammatory response in a rat thermal injury model.BMC bioinformatics · 2007Article
- Analysis of time-series gene expression data: methods, challenges, and opportunities.Annual review of biomedical engineering · 2007Article
- Corticosteroid-regulated genes in rat kidney: mining time series array data.American journal of physiology. Endocrinology and metabolism · 2005Article
- Temporal profiling of the transcriptional basis for the development of corticosteroid-induced insulin resistance in rat muscle.The Journal of endocrinology · 2005Article
- Mathematical modeling of corticosteroid pharmacogenomics in rat muscle following acute and chronic methylprednisolone dosing.Molecular pharmaceuticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
High-throughput data collection using gene microarrays has great potential as a method for addressing the pharmacogenomics of complex biological systems. Similarly, mechanism-based pharmacokinetic/pharmacodynamic modeling provides a tool for formulating quantitative testable hypotheses concerning the responses of complex biological systems. As the response of such systems to drugs generally entails cascades of molecular events in time, a time series design provides the best approach to capturing the full scope of drug effects. A major problem in using microarrays for high-throughput data collection is sorting through the massive amount of data in order to identify probe sets and genes of interest. Due to its inherent redundancy, a rich time series containing many time points and multiple samples per time point allows for the use of less stringent criteria of expression, expression change and data quality for initial filtering of unwanted probe sets. The remaining probe sets can then become the focus of more intense scrutiny by other methods, including temporal clustering, functional clustering and pharmacokinetic/pharmacodynamic modeling, which provide additional ways of identifying the probes and genes of pharmacological interest.
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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.