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Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
Numerous efforts are underway to determine gene regulatory networks that describe physical relationships between transcription factors (TFs) and their target DNA sequences. Members of paralogous TF families typically recognize similar DNA sequences. Knowledge of the molecular determinants of protein...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3113581/ https://www.ncbi.nlm.nih.gov/pubmed/21335608 http://dx.doi.org/10.1093/nar/gkr070 |
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author | De Masi, Federico Grove, Christian A. Vedenko, Anastasia Alibés, Andreu Gisselbrecht, Stephen S. Serrano, Luis Bulyk, Martha L. Walhout, Albertha J. M. |
author_facet | De Masi, Federico Grove, Christian A. Vedenko, Anastasia Alibés, Andreu Gisselbrecht, Stephen S. Serrano, Luis Bulyk, Martha L. Walhout, Albertha J. M. |
author_sort | De Masi, Federico |
collection | PubMed |
description | Numerous efforts are underway to determine gene regulatory networks that describe physical relationships between transcription factors (TFs) and their target DNA sequences. Members of paralogous TF families typically recognize similar DNA sequences. Knowledge of the molecular determinants of protein–DNA recognition by paralogous TFs is of central importance for understanding how small differences in DNA specificities can dictate target gene selection. Previously, we determined the in vitro DNA binding specificities of 19 Caenorhabditis elegans basic helix-loop-helix (bHLH) dimers using protein binding microarrays. These TFs bind E-box (CANNTG) and E-box-like sequences. Here, we combine these data with logics, bHLH–DNA co-crystal structures and computational modeling to infer which bHLH monomer can interact with which CAN E-box half-site and we identify a critical residue in the protein that dictates this specificity. Validation experiments using mutant bHLH proteins provide support for our inferences. Our study provides insights into the mechanisms of DNA recognition by bHLH dimers as well as a blueprint for system-level studies of the DNA binding determinants of other TF families in different model organisms and humans. |
format | Online Article Text |
id | pubmed-3113581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31135812011-06-14 Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants De Masi, Federico Grove, Christian A. Vedenko, Anastasia Alibés, Andreu Gisselbrecht, Stephen S. Serrano, Luis Bulyk, Martha L. Walhout, Albertha J. M. Nucleic Acids Res Computational Biology Numerous efforts are underway to determine gene regulatory networks that describe physical relationships between transcription factors (TFs) and their target DNA sequences. Members of paralogous TF families typically recognize similar DNA sequences. Knowledge of the molecular determinants of protein–DNA recognition by paralogous TFs is of central importance for understanding how small differences in DNA specificities can dictate target gene selection. Previously, we determined the in vitro DNA binding specificities of 19 Caenorhabditis elegans basic helix-loop-helix (bHLH) dimers using protein binding microarrays. These TFs bind E-box (CANNTG) and E-box-like sequences. Here, we combine these data with logics, bHLH–DNA co-crystal structures and computational modeling to infer which bHLH monomer can interact with which CAN E-box half-site and we identify a critical residue in the protein that dictates this specificity. Validation experiments using mutant bHLH proteins provide support for our inferences. Our study provides insights into the mechanisms of DNA recognition by bHLH dimers as well as a blueprint for system-level studies of the DNA binding determinants of other TF families in different model organisms and humans. Oxford University Press 2011-06 2011-02-18 /pmc/articles/PMC3113581/ /pubmed/21335608 http://dx.doi.org/10.1093/nar/gkr070 Text en © The Author(s) 2011. 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 De Masi, Federico Grove, Christian A. Vedenko, Anastasia Alibés, Andreu Gisselbrecht, Stephen S. Serrano, Luis Bulyk, Martha L. Walhout, Albertha J. M. Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants |
title | Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants |
title_full | Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants |
title_fullStr | Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants |
title_full_unstemmed | Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants |
title_short | Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants |
title_sort | using a structural and logics systems approach to infer bhlh–dna binding specificity determinants |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3113581/ https://www.ncbi.nlm.nih.gov/pubmed/21335608 http://dx.doi.org/10.1093/nar/gkr070 |
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