ArticleBMC genomics2008
Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The role of PI3K signaling pathway and its associated genes in papillary thyroid cancer.Journal of the Egyptian National Cancer Institute · 2021Pooled it
- Effect of selenium hyperaccumulation on the root endophytic and rhizosphere microbiome of two Astragalus species.Plant biology (Stuttgart, Germany) · 2026Article
- Multimodal bioinformatic analyses of genome-scale expression beyond gene-centric differential expression.Briefings in bioinformatics · 2026Review
- PTTM: dissecting the profile of tumor tissue microbiome to reveal microbiota features and associations with host transcriptome.Briefings in bioinformatics · 2024Article
- Spatial proteomics of single cells and organelles on tissue slides using filter-aided expansion proteomics.Nature communications · 2024Article
- Thinking points for effective batch correction on biomedical data.Briefings in bioinformatics · 2024Article
- Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease.Cell host & microbe · 2024Article
- Evaluation of genetic demultiplexing of single-cell sequencing data from model species.Life science alliance · 2023Article
- Batch correction methods for nontarget chemical analysis data: application to a municipal wastewater collection system.Analytical and bioanalytical chemistry · 2023Article
- SelectBCM tool: a batch evaluation framework to select the most appropriate batch-correction methods for bulk transcriptome analysis.NAR genomics and bioinformatics · 2023Article
- Article
- The Immune Signatures data resource, a compendium of systems vaccinology datasets.Scientific data · 2022Article
- Signatures of Co-Deregulated Genes and Their Transcriptional Regulators in Lung Cancer.International journal of molecular sciences · 2022Article
- A mammalian messenger RNA sex determination method from humpback whale (Royal Society open science · 2022Article
- Soil origin and plant genotype structure distinct microbiome compartments in the model legume Medicago truncatula.Microbiome · 2020Article
- Signatures of co-deregulated genes and their transcriptional regulators in colorectal cancer.NPJ systems biology and applications · 2020Article
- Controlling technical variation amongst 6693 patient microarrays of the randomized MINDACT trial.Communications biology · 2020Article
- Microbial Ecology of Atlantic Salmon (Salmo salar) Hatcheries: Impacts of the Built Environment on Fish Mucosal Microbiota.Applied and environmental microbiology · 2020Article
- Article
- Discovering master regulators in hepatocellular carcinoma: one novel MR, SEC14L2 inhibits cancer cells.Aging · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
backgroundThe use of gene expression profiling in both clinical and laboratory settings would be enhanced by better characterization of variance due to individual, environmental, and technical factors. Meta-analysis of microarray data from untreated or vehicle-treated animals within the control arm of toxicogenomics studies could yield useful information on baseline fluctuations in gene expression, although control animal data has not been available on a scale and in a form best served for data-mining.
resultsA dataset of control animal microarray expression data was assembled by a working group of the Health and Environmental Sciences Institute's Technical Committee on the Application of Genomics in Mechanism Based Risk Assessment in order to provide a public resource for assessments of variability in baseline gene expression. Data from over 500 Affymetrix microarrays from control rat liver and kidney were collected from 16 different institutions. Thirty-five biological and technical factors were obtained for each animal, describing a wide range of study characteristics, and a subset were evaluated in detail for their contribution to total variability using multivariate statistical and graphical techniques.
conclusionThe study factors that emerged as key sources of variability included gender, organ section, strain, and fasting state. These and other study factors were identified as key descriptors that should be included in the minimal information about a toxicogenomics study needed for interpretation of results by an independent source. Genes that are the most and least variable, gender-selective, or altered by fasting were also identified and functionally categorized. Better characterization of gene expression variability in control animals will aid in the design of toxicogenomics studies and in the interpretation of their results.
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.