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Discovering modulators of gene expression
Proteins that modulate the activity of transcription factors, often called modulators, play a critical role in creating tissue- and context-specific gene expression responses to the signals cells receive. GEM (Gene Expression Modulation) is a probabilistic framework that predicts modulators, their a...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943625/ https://www.ncbi.nlm.nih.gov/pubmed/20466809 http://dx.doi.org/10.1093/nar/gkq287 |
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author | Babur, Özgün Demir, Emek Gönen, Mithat Sander, Chris Dogrusoz, Ugur |
author_facet | Babur, Özgün Demir, Emek Gönen, Mithat Sander, Chris Dogrusoz, Ugur |
author_sort | Babur, Özgün |
collection | PubMed |
description | Proteins that modulate the activity of transcription factors, often called modulators, play a critical role in creating tissue- and context-specific gene expression responses to the signals cells receive. GEM (Gene Expression Modulation) is a probabilistic framework that predicts modulators, their affected targets and mode of action by combining gene expression profiles, protein–protein interactions and transcription factor–target relationships. Using GEM, we correctly predicted a significant number of androgen receptor modulators and observed that most modulators can both act as co-activators and co-repressors for different target genes. |
format | Text |
id | pubmed-2943625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29436252010-09-22 Discovering modulators of gene expression Babur, Özgün Demir, Emek Gönen, Mithat Sander, Chris Dogrusoz, Ugur Nucleic Acids Res Computational Biology Proteins that modulate the activity of transcription factors, often called modulators, play a critical role in creating tissue- and context-specific gene expression responses to the signals cells receive. GEM (Gene Expression Modulation) is a probabilistic framework that predicts modulators, their affected targets and mode of action by combining gene expression profiles, protein–protein interactions and transcription factor–target relationships. Using GEM, we correctly predicted a significant number of androgen receptor modulators and observed that most modulators can both act as co-activators and co-repressors for different target genes. Oxford University Press 2010-09 2010-05-13 /pmc/articles/PMC2943625/ /pubmed/20466809 http://dx.doi.org/10.1093/nar/gkq287 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Babur, Özgün Demir, Emek Gönen, Mithat Sander, Chris Dogrusoz, Ugur Discovering modulators of gene expression |
title | Discovering modulators of gene expression |
title_full | Discovering modulators of gene expression |
title_fullStr | Discovering modulators of gene expression |
title_full_unstemmed | Discovering modulators of gene expression |
title_short | Discovering modulators of gene expression |
title_sort | discovering modulators of gene expression |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943625/ https://www.ncbi.nlm.nih.gov/pubmed/20466809 http://dx.doi.org/10.1093/nar/gkq287 |
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