ArticleBMC bioinformatics2010
TAM: a method for enrichment and depletion analysis of a microRNA category in a list of microRNAs.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.
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Who cites it
82 citing papers in PubMed, 133 citations in OpenAlex.
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- Microneedle Delivery of Small Extracellular Vesicles From Young Blood to Treat Endothelial Senescence.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- A genome-wide scan of non-coding RNAs and enhancers for refractive error and myopia.Human genetics · 2025Article
- Circulating microRNA signatures as potential biomarkers differentiating diabetic, prediabetic, and healthy individuals.Frontiers in endocrinology · 2025Article
- An ontology-based knowledge graph for representing interactions involving RNA molecules.Scientific data · 2024Article
- MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.Frontiers in genetics · 2024Article
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- Extracellular vesicle microRNA and protein cargo profiling in three clinical-grade stem cell products reveals key functional pathways.Molecular therapy. Nucleic acids · 2023Article
- New Insight into Mechanisms of Cardiovascular Diseases: An Integrative Analysis Approach to Identify TheranoMiRNAs.International journal of molecular sciences · 2023Article
- Comparative microRNA profiling ofFrontiers in cellular and infection microbiology · 2023Article
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- miR-98-5p as a novel biomarker suppress liver fibrosis by targeting TGFβ receptor 1.Hepatology international · 2022Article
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- Web tools to perform long non-coding RNAs analysis in oncology research.Database : the journal of biological databases and curation · 2021Review
- Comparing the efficacy of γ- and electron-irradiation of PBMCs to promote secretion of paracrine, regenerative factors.Molecular therapy. Methods & clinical development · 2021Article
- sTAM: An Online Tool for the Discovery of miRNA-Set Level Disease Biomarkers.Molecular therapy. Nucleic acids · 2020Article
- miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems.Nucleic acids research · 2020Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs (miRNAs) are a class of important gene regulators. The number of identified miRNAs has been increasing dramatically in recent years. An emerging major challenge is the interpretation of the genome-scale miRNA datasets, including those derived from microarray and deep-sequencing. It is interesting and important to know the common rules or patterns behind a list of miRNAs, (i.e. the deregulated miRNAs resulted from an experiment of miRNA microarray or deep-sequencing).
resultsFor the above purpose, this study presents a method and develops a tool (TAM) for annotations of meaningful human miRNAs categories. We first integrated miRNAs into various meaningful categories according to prior knowledge, such as miRNA family, miRNA cluster, miRNA function, miRNA associated diseases, and tissue specificity. Using TAM, given lists of miRNAs can be rapidly annotated and summarized according to the integrated miRNA categorical data. Moreover, given a list of miRNAs, TAM can be used to predict novel related miRNAs. Finally, we confirmed the usefulness and reliability of TAM by applying it to deregulated miRNAs in acute myocardial infarction (AMI) from two independent experiments.
conclusionTAM can efficiently identify meaningful categories for given miRNAs. In addition, TAM can be used to identify novel miRNA biomarkers. TAM tool, source codes, and miRNA category data are freely available at http://cmbi.bjmu.edu.cn/tam.
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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.