ArticleBMC genomics2010
Cross-platform analysis of global microRNA expression technologies.
Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Longitudinal and Stability-Aware Analysis Reveals Treatment-Specific MicroRNA Response Signatures Following Immune-Reconstitution and B-Cell-Targeted Therapies in Multiple Sclerosis.International journal of molecular sciences · 2026Article
- Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq.Advanced genetics (Hoboken, N.J.) · 2023Review
- Methodological considerations for measuring biofluid-based microRNA biomarkers.Critical reviews in toxicology · 2021Article
- Differential Expression Profile of miR-27b, miR-29a, and miR-155 in Chronic Lymphocytic Leukemia and Breast Cancer Patients.Molecular therapy oncolytics · 2020Article
- Crosstalk between Epigenetic Modulations in Valproic Acid Deactivated Hepatic Stellate Cells: An Integrated Protein and miRNA Profiling Study.International journal of biological sciences · 2019Article
- Microparticle parking and isolation for highly sensitive microRNA detection.Lab on a chip · 2017Article
- Assessing Agreement between miRNA Microarray Platforms.Microarrays (Basel, Switzerland) · 2014Article
- MicroRNAs as lung cancer biomarkers.World journal of clinical oncology · 2014Review
- Assessment of a novel multi-array normalization method based on spike-in control probes suitable for microRNA datasets with global decreases in expression.BMC research notes · 2014Article
- Usefulness of circulating microRNAs for the prediction of early preeclampsia at first-trimester of pregnancy.Scientific reports · 2014Article
- Robust global microRNA expression profiling using next-generation sequencing technologies.Laboratory investigation; a journal of technical methods and pathology · 2014Article
- miRNA signature of unfolded protein response in H9c2 rat cardiomyoblasts.Cell & bioscience · 2014Article
- Article
- The KUPNetViz: a biological network viewer for multiple -omics datasets in kidney diseases.BMC bioinformatics · 2013Article
- Article
- Effects of short-term exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin on microRNA expression in zebrafish embryos.Toxicology and applied pharmacology · 2012Article
- Proton radiation-induced miRNA signatures in mouse blood: characterization and comparison with 56Fe-ion and gamma radiation.International journal of radiation biology · 2012Article
- Gene Expression Atlas update--a value-added database of microarray and sequencing-based functional genomics experiments.Nucleic acids research · 2012Article
- Comparison of microarray platforms for measuring differential microRNA expression in paired normal/cancer colon tissues.PloS one · 2012Article
- Influence of RNA labeling on expression profiling of microRNAs.The Journal of molecular diagnostics : JMD · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough analysis of microRNAs (miRNAs) by DNA microarrays is gaining in popularity, these new technologies have not been adequately validated. We examined within and between platform reproducibility of four miRNA array technologies alongside TaqMan PCR arrays.
resultsTwo distinct pools of reference materials were selected in order to maximize differences in miRNA content. Filtering for miRNA that yielded signal above background revealed 54 miRNA probes (matched by sequence) across all platforms. Using this probeset as well as all probes that were present on an individual platform, within-platform analyses revealed Spearman correlations of >0.9 for most platforms. Comparing between platforms, rank analysis of the log ratios of the two reference pools also revealed high correlation (range 0.663-0.949). Spearman rank correlation and concordance correlation coefficients for miRNA arrays against TaqMan qRT-PCR arrays were similar for all of the technologies. Platform performances were similar to those of previous cross-platform exercises on mRNA and miRNA microarray technologies.
conclusionsThese data indicate that miRNA microarray platforms generated highly reproducible data and can be recommended for the study of changes in miRNA expression.
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