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Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs
BACKGROUND: Transcription factors (TFs) have long been known to be principally activators of transcription in eukaryotes and prokaryotes. The growing awareness of the ubiquity of microRNAs (miRNAs) as suppressive regulators in eukaryotes, suggests the possibility of a mutual, preferential, self-regu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430561/ https://www.ncbi.nlm.nih.gov/pubmed/22824421 http://dx.doi.org/10.1186/1752-0509-6-90 |
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author | Croft, Larry Szklarczyk, Damian Jensen, Lars Juhl Gorodkin, Jan |
author_facet | Croft, Larry Szklarczyk, Damian Jensen, Lars Juhl Gorodkin, Jan |
author_sort | Croft, Larry |
collection | PubMed |
description | BACKGROUND: Transcription factors (TFs) have long been known to be principally activators of transcription in eukaryotes and prokaryotes. The growing awareness of the ubiquity of microRNAs (miRNAs) as suppressive regulators in eukaryotes, suggests the possibility of a mutual, preferential, self-regulatory connectivity between miRNAs and TFs. Here we investigate the connectivity from TFs and miRNAs to other genes and each other using text mining, TF promoter binding site and 6 different miRNA binding site prediction methods. RESULTS: In the first approach text mining of PubMed abstracts reveal statistically significant associations between miRNAs and both TFs and signal transduction gene classes. Secondly, prediction of miRNA targets in human and mouse 3’UTRs show enrichment only for TFs but not consistently across prediction methods for signal transduction or other gene classes. Furthermore, a random sample of 986 TarBase entries was scored for experimental evidence by manual inspection of the original papers, and enrichment for TFs was observed to increase with score. Low-scoring TarBase entries, where experimental evidence is anticorrelated miRNA:mRNA expression with predicted miRNA targets, appear not to select for real miRNA targets to any degree. Our manually validated text-mining results also suggests that miRNAs may be activated by more TFs than other classes of genes, as 7% of miRNA:TF co-occurrences in the literature were TFs activating miRNAs. This was confirmed when thirdly, we found enrichment for predicted, conserved TF binding sites in miRNA and TF genes compared to other gene classes. CONCLUSIONS: We see enrichment of connections between miRNAs and TFs using several independent methods, suggestive of a network of mutual activating and suppressive regulation. We have also built regulatory networks (containing 2- and 3-loop motifs) for mouse and human using predicted miRNA and TF binding sites and we have developed a web server to search and display these loops, available for the community at http://rth.dk/resources/tfmirloop. |
format | Online Article Text |
id | pubmed-3430561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34305612012-08-30 Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs Croft, Larry Szklarczyk, Damian Jensen, Lars Juhl Gorodkin, Jan BMC Syst Biol Research Article BACKGROUND: Transcription factors (TFs) have long been known to be principally activators of transcription in eukaryotes and prokaryotes. The growing awareness of the ubiquity of microRNAs (miRNAs) as suppressive regulators in eukaryotes, suggests the possibility of a mutual, preferential, self-regulatory connectivity between miRNAs and TFs. Here we investigate the connectivity from TFs and miRNAs to other genes and each other using text mining, TF promoter binding site and 6 different miRNA binding site prediction methods. RESULTS: In the first approach text mining of PubMed abstracts reveal statistically significant associations between miRNAs and both TFs and signal transduction gene classes. Secondly, prediction of miRNA targets in human and mouse 3’UTRs show enrichment only for TFs but not consistently across prediction methods for signal transduction or other gene classes. Furthermore, a random sample of 986 TarBase entries was scored for experimental evidence by manual inspection of the original papers, and enrichment for TFs was observed to increase with score. Low-scoring TarBase entries, where experimental evidence is anticorrelated miRNA:mRNA expression with predicted miRNA targets, appear not to select for real miRNA targets to any degree. Our manually validated text-mining results also suggests that miRNAs may be activated by more TFs than other classes of genes, as 7% of miRNA:TF co-occurrences in the literature were TFs activating miRNAs. This was confirmed when thirdly, we found enrichment for predicted, conserved TF binding sites in miRNA and TF genes compared to other gene classes. CONCLUSIONS: We see enrichment of connections between miRNAs and TFs using several independent methods, suggestive of a network of mutual activating and suppressive regulation. We have also built regulatory networks (containing 2- and 3-loop motifs) for mouse and human using predicted miRNA and TF binding sites and we have developed a web server to search and display these loops, available for the community at http://rth.dk/resources/tfmirloop. BioMed Central 2012-07-23 /pmc/articles/PMC3430561/ /pubmed/22824421 http://dx.doi.org/10.1186/1752-0509-6-90 Text en Copyright ©2012 Croft et al.; http://creativecommons.org/licenses/by/2.0 licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Croft, Larry Szklarczyk, Damian Jensen, Lars Juhl Gorodkin, Jan Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs |
title | Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs |
title_full | Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs |
title_fullStr | Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs |
title_full_unstemmed | Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs |
title_short | Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs |
title_sort | multiple independent analyses reveal only transcription factors as an enriched functional class associated with micrornas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430561/ https://www.ncbi.nlm.nih.gov/pubmed/22824421 http://dx.doi.org/10.1186/1752-0509-6-90 |
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