ArticleBMC bioinformatics2010
miRSel: automated extraction of associations between microRNAs and genes from the biomedical literature.
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 41 papers, 1 of them a synthesis 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
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Construction of an miRNA-regulated drug-pathway network reveals drug repurposing candidates for myasthenia gravis.International journal of molecular medicine · 2017Pooled it
- Large Language Models and Genomics for Summarizing the Role of microRNA in Regulating mRNA Expression.Biomedicines · 2024Article
- Comparative Analysis of Published Database Predicting MicroRNA Binding in 3'UTR of mRNA in Diverse Species.MicroRNA (Shariqah, United Arab Emirates) · 2024Review
- Review of databases for experimentally validated human microRNA-mRNA interactions.Database : the journal of biological databases and curation · 2023Review
- Literature Mining of Disease Associated Noncoding RNA in the Omics Era.Molecules (Basel, Switzerland) · 2022Review
- Construction of miRNA-regulated drug-pathway network to screen drug repurposing candidates for multiple sclerosis.Medicine · 2022Article
- Circulating MicroRNAs as Cancer Biomarkers in Liquid Biopsies.Advances in experimental medicine and biology · 2022Review
- miRetrieve-an R package and web application for miRNA text mining.NAR genomics and bioinformatics · 2021Article
- emiRIT: a text-mining-based resource for microRNA information.Database : the journal of biological databases and curation · 2021Article
- Exploring the Potential of MicroRNA Let-7c as a Therapeutic for Prostate Cancer.Molecular therapy. Nucleic acids · 2019Review
- The Regulatory Roles of Non-coding RNAs in Angiogenesis and Neovascularization From an Epigenetic Perspective.Frontiers in oncology · 2019Review
- Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature.Database : the journal of biological databases and curation · 2019Article
- miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions.Nucleic acids research · 2018Article
- miRNAs target databases: developmental methods and target identification techniques with functional annotations.Cellular and molecular life sciences : CMLS · 2017Review
- Article
- Extracting microRNA-gene relations from biomedical literature using distant supervision.PloS one · 2017Article
- The MicroRNA Interaction Network of Lipid Diseases.Frontiers in genetics · 2017Article
- Prioritization, clustering and functional annotation of MicroRNAs using latent semantic indexing of MEDLINE abstracts.BMC bioinformatics · 2016Article
- LimiTT: link miRNAs to targets.BMC bioinformatics · 2016Article
- miRiaD: A Text Mining Tool for Detecting Associations of microRNAs with Diseases.Journal of biomedical semantics · 2016Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs have been discovered as important regulators of gene expression. To identify the target genes of microRNAs, several databases and prediction algorithms have been developed. Only few experimentally confirmed microRNA targets are available in databases. Many of the microRNA targets stored in databases were derived from large-scale experiments that are considered not very reliable. We propose to use text mining of publication abstracts for extracting microRNA-gene associations including microRNA-target relations to complement current repositories.
resultsThe microRNA-gene association database miRSel combines text-mining results with existing databases and computational predictions. Text mining enables the reliable extraction of microRNA, gene and protein occurrences as well as their relationships from texts. Thereby, we increased the number of human, mouse and rat miRNA-gene associations by at least three-fold as compared to e.g. TarBase, a resource for miRNA-gene associations.
conclusionsOur database miRSel offers the currently largest collection of literature derived miRNA-gene associations. Comprehensive collections of miRNA-gene associations are important for the development of miRNA target prediction tools and the analysis of regulatory networks. miRSel is updated daily and can be queried using a web-based interface via microRNA identifiers, gene and protein names, PubMed queries as well as gene ontology (GO) terms. miRSel is freely available online at http://services.bio.ifi.lmu.de/mirsel.
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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.