ArticleGenome biology2008
Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype.
Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Gene expression profiles in peripheral blood mononuclear cells of Chinese nickel refinery workers with high exposures to nickel and control subjects.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013Trial
- Transcriptomics in toxicology.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017Review
- Blood transcript immune signatures distinguish a subset of people with elevated serum ALT from others given acetaminophen.Clinical pharmacology and therapeutics · 2016Article
- Translational biomarkers of acetaminophen-induced acute liver injury.Archives of toxicology · 2015Review
- Pathogenesis of idiosyncratic drug-induced liver injury and clinical perspectives.Gastroenterology · 2014Review
- Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes.BMC systems biology · 2013Article
- Blood transcriptomics: applications in toxicology.Journal of applied toxicology : JAT · 2013Review
- Glycocapture-assisted global quantitative proteomics (gagQP) reveals multiorgan responses in serum toxicoproteome.Journal of proteome research · 2013Article
- Mutant-specific gene expression profiling identifies SRY-related HMG box 11b (SOX11b) as a novel regulator of vascular development in zebrafish.Molecules and cells · 2013Article
- Transcriptomics analysis of lungs and peripheral blood of crystalline silica-exposed rats.Inhalation toxicology · 2012Article
- Identification of Identical Transcript Changes in Liver and Whole Blood during Acetaminophen Toxicity.Frontiers in genetics · 2012Article
- Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II project.BMC bioinformatics · 2011Article
- Article
- Mapping drug physico-chemical features to pathway activity reveals molecular networks linked to toxicity outcome.PloS one · 2010Article
- Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.The pharmacogenomics journal · 2010Article
- Consistency of predictive signature genes and classifiers generated using different microarray platforms.The pharmacogenomics journal · 2010Article
- Genomic indicators in the blood predict drug-induced liver injury.The pharmacogenomics journal · 2010Article
- A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data.The pharmacogenomics journal · 2010Article
- Use of transcriptomics in understanding mechanisms of drug-induced toxicity.Pharmacogenomics · 2010Review
- Blood gene expression markers to detect and distinguish target organ toxicity.Molecular and cellular biochemistry · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
This report details the standardized experimental design and the different data streams that were collected (histopathology, clinical chemistry, hematology and gene expression from the target tissue (liver) and a bio-available tissue (blood)) after treatment with eight known hepatotoxicants (at multiple time points and doses with multiple biological replicates). The results of the study demonstrate the classification of histopathological differences, likely reflecting differences in mechanisms of cell-specific toxicity, using either liver tissue or blood transcriptomic data.
Indexed as
Identifiers
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.