ArticleInternational journal of molecular sciences2020
A Post-Processing Algorithm for miRNA Microarray Data.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- A systematic review of non-coding RNA genes with differential expression profiles associated with autism spectrum disorders.PloS one · 2023Pooled it
- Programmable two-dimensional CoOOH nanosheets with a hybridization chain reaction amplification system for label-free fluorescent detection of miRNA-205 in colorectal cancer.Mikrochimica acta · 2026Article
- Several novel classes of small regulatory RNAs show widespread changes in schizophrenia and bipolar disorder and extensive linkages to critical brain processes.Translational psychiatry · 2026Article
- SplintR ligation-triggeredPeerJ · 2025Article
- Article
- Differential co-expression network analysis with DCoNA reveals isomiR targeting aberrations in prostate cancer.Bioinformatics (Oxford, England) · 2023Article
- Induction of Hypoxic Response in Caco-2 Cells Promote the Expression of Genes Involved in SARS-CoV-2 Endocytosis and Transcytosis.Doklady. Biochemistry and biophysics · 2022Article
- Article
- Hypoxia-Induced miR-148a Downregulation Contributes to Poor Survival in Colorectal Cancer.Frontiers in genetics · 2021Article
- miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence.PloS one · 2021Article
- Bioinformatics Methods in Medical Genetics and Genomics.International journal of molecular sciences · 2020Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
Abstract
One of the main disadvantages of using DNA microarrays for miRNA expression profiling is the inability of adequate comparison of expression values across different miRNAs. This leads to a large amount of miRNAs with high scores which are actually not expressed in examined samples, i.e., false positives. We propose a post-processing algorithm which performs scoring of miRNAs in the results of microarray analysis based on expression values, time of discovery of miRNA, and correlation level between the expressions of miRNA and corresponding pre-miRNA in considered samples. The algorithm was successfully validated by the comparison of the results of its application to miRNA microarray breast tumor samples with publicly available miRNA-seq breast tumor data. Additionally, we obtained possible reasons why miRNA can appear as a false positive in microarray study using paired miRNA sequencing and array data. The use of DNA microarrays for estimating miRNA expression profile is limited by several factors. One of them consists of problems with comparing expression values of different miRNAs. In this work, we show that situation can be significantly improved if some additional information is taken into consideration in a comparison.
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Registered trials
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