ReviewEnvironmental health perspectives2001
Progress in the application of DNA microarrays.
Review in Environmental health perspectives, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- BIOPHYSICAL PROPERTIES OF NUCLEIC ACIDS AT SURFACES RELEVANT TO MICROARRAY PERFORMANCE.Biomaterials science · 2014Article
- A new method for the evaluation of vaccine safety based on comprehensive gene expression analysis.Journal of biomedicine & biotechnology · 2010Review
- Evaluation of anti-colitic effect of lactic acid bacteria in mice by cDNA microarray analysis.Inflammation · 2009Article
- Transcriptome analysis in peripheral blood of humans exposed to environmental carcinogens: a promising new biomarker in environmental health studies.Environmental health perspectives · 2008Article
- The methodology used to measure differential gene expression affects the outcome.Journal of biomolecular techniques : JBT · 2007Article
- Global gene expression analysis of the mouse colonic mucosa treated with azoxymethane and dextran sodium sulfate.BMC cancer · 2007Article
- Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae.Microbes and infection · 2006Article
- Strategies for identifying genes that play a role in spinal cord regeneration.Journal of anatomy · 2004Review
- Proteomics in zebrafish exposed to endocrine disrupting chemicals.Ecotoxicology (London, England) · 2003Article
- The path from molecular indicators of exposure to describing dynamic biological systems in an aquatic organism: microarrays and the fathead minnow.Ecotoxicology (London, England) · 2003Review
- Exposure to the herbicide acetochlor alters thyroid hormone-dependent gene expression and metamorphosis in Xenopus Laevis.Environmental health perspectives · 2002Article
- Expression profiling following traumatic brain injury: a review.Neurochemical research · 2002Review
- The National Center for Toxicogenomics: using new technologies to inform mechanistic toxicology.Environmental health perspectives · 2002Article
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
No grant is acknowledged in the PubMed record.
Abstract
Microarray technology has been applied to a variety of different fields to address fundamental research questions. The use of microarrays, or DNA chips, to study the gene expression profiles of biologic samples began in 1995. Since that time, the fundamental concepts behind the chip, the technology required for making and using these chips, and the multitude of statistical tools for analyzing the data have been extensively reviewed. For this reason, the focus of this review will be not on the technology itself but on the application of microarrays as a research tool and the future challenges of the field.
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.