ReviewGene2007
Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization.
Review in Gene, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 20 of them syntheses 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
62 citing papers in PubMed, 20 syntheses or guidelines pooled it.
- Gene regulatory and co-expression networks reveal novel hub genes and regulatory mechanisms in rapeseed (Brassica napus L.) under drought stress.Scientific reports · 2025Pooled it
- Candidate MicroRNA Biomarkers in Lupus Nephritis: A Meta-analysis of Profiling Studies in Kidney, Blood and Urine Samples.Molecular diagnosis & therapy · 2023Pooled it
- Meta-Analysis of Whole Blood Transcriptome Datasets Characterizes the Immune Response of Respiratory Syncytial Virus Infection in Children.Frontiers in cellular and infection microbiology · 2022Pooled it
- Systematic review and meta-analysis of differentially expressed miRNAs in experimental and human temporal lobe epilepsy.Scientific reports · 2017Pooled it
- Searching for a Lifeline: Transcriptome Profiling Studies of Influenza Susceptibility and Resistance.Journal of innate immunity · 2017Pooled it
- Molecular Portrait of Oral Tongue Squamous Cell Carcinoma Shown by Integrative Meta-Analysis of Expression Profiles with Validations.PloS one · 2016Pooled it
- Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways.BMC medical genomics · 2015Pooled it
- Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology.Molecular medicine reports · 2015Pooled it
- A common gene signature across multiple studies relate biomarkers and functional regulation in tolerance to renal allograft.Kidney international · 2015Pooled it
- Pooled it
- Meta-analysis of gene expression profiles to predict response to biologic agents in rheumatoid arthritis.Clinical rheumatology · 2014Pooled it
- A data similarity-based strategy for meta-analysis of transcriptional profiles in cancer.PloS one · 2013Pooled it
- Meta-analysis derived (MAD) transcriptome of psoriasis defines the "core" pathogenesis of disease.PloS one · 2012Pooled it
- Identification of reference genes across physiological states for qRT-PCR through microarray meta-analysis.PloS one · 2011Pooled it
- Identification of human housekeeping genes and tissue-selective genes by microarray meta-analysis.PloS one · 2011Pooled it
- A novel tissue-specific meta-analysis approach for gene expression predictions, initiated with a mammalian gene expression testis database.BMC genomics · 2010Pooled it
- A cross-laboratory comparison of expression profiling data from normal human postmortem brain.Neuroscience · 2010Pooled it
- Genome-wide identification of hypoxia-inducible factor binding sites and target genes by a probabilistic model integrating transcription-profiling data and in silico binding site prediction.Nucleic acids research · 2010Pooled it
- Pooled it
- A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.Bioinformatics (Oxford, England) · 2009Pooled it
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Microarray profiling of gene expression is a powerful tool for discovery, but the ability to manage and compare the resulting data can be problematic. Biological, experimental, and technical variations between studies of the same phenotype/phenomena create substantial differences in results. The application of conventional meta-analysis to raw microarray data is complicated by differences in the type of microarray used, gene nomenclatures, species, and analytical methods. An alternative approach to combining multiple microarray studies is to compare the published gene lists which result from the investigators' analyses of the raw data, as implemented in Lists of Lists Annotated (LOLA: www.lola.gwu.edu) and L2L (depts.washington.edu/l2l/). The present review considers both the potential value and the limitations of databasing and enabling the comparison of results from different microarray studies. Further, a major impediment to cross-study comparisons is the absence of a standard for reporting microarray study results. We propose a reporting standard: standard microarray results template (SMART), which will facilitate the integration of microarray studies.
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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.