| dc.contributor.author | Camas, Francisco M. | |
| dc.contributor.author | Alm, Eric J. | |
| dc.contributor.author | Poyatos, Juan F. | |
| dc.date.accessioned | 2011-07-06T20:46:21Z | |
| dc.date.available | 2011-07-06T20:46:21Z | |
| dc.date.issued | 2010-11 | |
| dc.date.submitted | 2010-05 | |
| dc.identifier.issn | 1553-7358 | |
| dc.identifier.issn | 1553-734X | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/64754 | |
| dc.description.abstract | The specific binding of regulatory proteins to DNA sequences exhibits no clear patterns of association between amino acids (AAs) and nucleotides (NTs). This complexity of protein-DNA interactions raises the question of whether a simple set of wide-coverage recognition rules can ever be identified. Here, we analyzed this issue using the extensive LacI family of transcriptional factors (TFs). We searched for recognition patterns by introducing a new approach to phylogenetic footprinting, based on the pervasive presence of local regulation in prokaryotic transcriptional networks. We identified a set of specificity correlations –determined by two AAs of the TFs and two NTs in the binding sites– that is conserved
throughout a dominant subgroup within the family regardless of the evolutionary distance, and that act as a relatively consistent recognition code. The proposed rules are confirmed with data of previous experimental studies and by events of convergent evolution in the phylogenetic tree. The presence of a code emphasizes the stable structural context of the LacI family, while defining a precise blueprint to reprogram TF specificity with many practical applications. | en_US |
| dc.description.sponsorship | Ministerio de Ciencia e Innovación, Spain (Formación de Profesorado Universitario fellowship) | en_US |
| dc.description.sponsorship | Ministerio de Ciencia e Innovación, Spain (grant BFU2008-03632/BMC) | en_US |
| dc.description.sponsorship | Madrid (Spain : Region) (grant CCG08-CSIC/SAL-3651) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Public Library of Science | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1371/journal.pcbi.1000989 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/2.5/ | en_US |
| dc.source | PLoS | en_US |
| dc.title | Local Gene Regulation Details a Recognition Code within the LacI Transcriptional Factor Family | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Camas, Francisco M., Eric J. Alm, and Juan F. Poyatos. "Local Gene Regulation Details a Recognition Code within the LacI Transcriptional Factor Family." PLoS Computational Biology 6(11): e1000989. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
| dc.contributor.approver | Alm, Eric J. | |
| dc.contributor.mitauthor | Alm, Eric J. | |
| dc.relation.journal | PLoS Computational Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Camas, Francisco M.; Alm, Eric J.; Poyatos, Juan F. | en |
| dc.identifier.orcid | https://orcid.org/0000-0001-8294-9364 | |
| mit.license | PUBLISHER_CC | en_US |
| mit.metadata.status | Complete | |