ArticleThe Journal of pharmacology and experimental therapeutics2008
Extracting global system dynamics of corticosteroid genomic effects in rat liver.
Article in The Journal of pharmacology and experimental therapeutics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 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
- Understanding Physiology in the Continuum: Integration of Information from Multiple -Frontiers in pharmacology · 2017Article
- Moving from basic toward systems pharmacodynamic models.Journal of pharmaceutical sciences · 2013Review
- A new symbolic representation for the identification of informative genes in replicated microarray experiments.Omics : a journal of integrative biology · 2010Article
- Nutritional systems biology modeling: from molecular mechanisms to physiology.PLoS computational biology · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
One of the challenges in constructing biological models involves resolving meaningful data patterns from which the mathematical models will be generated. For models that describe the change of mRNA in response to drug administration, questions exist whether the correct genes have been selected given the myriad transcriptional effects that may occur. Oftentimes, different algorithms will select or cluster different groups of genes from the same data set. A new approach was developed that focuses on identifying the underlying global dynamics of the system instead of selecting individual genes. The procedure was applied to microarray genomic data obtained from rat liver after a large single dose of methylprednisolone in 52 adrenalectomized rats. Twelve clusters of at least 30 genes each were selected, reflecting the major changes over time. This method along with isolating the underlying dynamics of the system also extracts and clusters the genes that make up this global dynamic for further analysis as to the contributions of specific mechanisms affected by the drug.
Indexed as
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What OpenQuestion holds
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.