Cargando…
A deterministic code for transcription factor-DNA recognition through computation of binding interfaces
The recognition code between transcription factor (TF) amino acids and DNA bases remains poorly understood. Here, the determinants of TF amino acid-DNA base binding selectivity were identified through the analysis of crystals of TF-DNA complexes. Selective, high-frequency interactions were identifie...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896162/ https://www.ncbi.nlm.nih.gov/pubmed/35261972 http://dx.doi.org/10.1093/nargab/lqac008 |
_version_ | 1784663096017551360 |
---|---|
author | Trerotola, Marco Antolini, Laura Beni, Laura Guerra, Emanuela Spadaccini, Mariano Verzulli, Damiano Moschella, Antonino Alberti, Saverio |
author_facet | Trerotola, Marco Antolini, Laura Beni, Laura Guerra, Emanuela Spadaccini, Mariano Verzulli, Damiano Moschella, Antonino Alberti, Saverio |
author_sort | Trerotola, Marco |
collection | PubMed |
description | The recognition code between transcription factor (TF) amino acids and DNA bases remains poorly understood. Here, the determinants of TF amino acid-DNA base binding selectivity were identified through the analysis of crystals of TF-DNA complexes. Selective, high-frequency interactions were identified for the vast majority of amino acid side chains (‘structural code’). DNA binding specificities were then independently assessed by meta-analysis of random-mutagenesis studies of Zn finger-target DNA sequences. Selective, high-frequency interactions were identified for the majority of mutagenized residues (‘mutagenesis code’). The structural code and the mutagenesis code were shown to match to a striking level of accuracy (P = 3.1 × 10(−33)), suggesting the identification of fundamental rules of TF binding to DNA bases. Additional insight was gained by showing a geometry-dictated choice among DNA-binding TF residues with overlapping specificity. These findings indicate the existence of a DNA recognition mode whereby the physical-chemical characteristics of the interacting residues play a deterministic role. The discovery of this DNA recognition code advances our knowledge on fundamental features of regulation of gene expression and is expected to pave the way for integration with higher-order complexity approaches. |
format | Online Article Text |
id | pubmed-8896162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88961622022-03-07 A deterministic code for transcription factor-DNA recognition through computation of binding interfaces Trerotola, Marco Antolini, Laura Beni, Laura Guerra, Emanuela Spadaccini, Mariano Verzulli, Damiano Moschella, Antonino Alberti, Saverio NAR Genom Bioinform Standard Article The recognition code between transcription factor (TF) amino acids and DNA bases remains poorly understood. Here, the determinants of TF amino acid-DNA base binding selectivity were identified through the analysis of crystals of TF-DNA complexes. Selective, high-frequency interactions were identified for the vast majority of amino acid side chains (‘structural code’). DNA binding specificities were then independently assessed by meta-analysis of random-mutagenesis studies of Zn finger-target DNA sequences. Selective, high-frequency interactions were identified for the majority of mutagenized residues (‘mutagenesis code’). The structural code and the mutagenesis code were shown to match to a striking level of accuracy (P = 3.1 × 10(−33)), suggesting the identification of fundamental rules of TF binding to DNA bases. Additional insight was gained by showing a geometry-dictated choice among DNA-binding TF residues with overlapping specificity. These findings indicate the existence of a DNA recognition mode whereby the physical-chemical characteristics of the interacting residues play a deterministic role. The discovery of this DNA recognition code advances our knowledge on fundamental features of regulation of gene expression and is expected to pave the way for integration with higher-order complexity approaches. Oxford University Press 2022-03-04 /pmc/articles/PMC8896162/ /pubmed/35261972 http://dx.doi.org/10.1093/nargab/lqac008 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Standard Article Trerotola, Marco Antolini, Laura Beni, Laura Guerra, Emanuela Spadaccini, Mariano Verzulli, Damiano Moschella, Antonino Alberti, Saverio A deterministic code for transcription factor-DNA recognition through computation of binding interfaces |
title | A deterministic code for transcription factor-DNA recognition through computation of binding interfaces |
title_full | A deterministic code for transcription factor-DNA recognition through computation of binding interfaces |
title_fullStr | A deterministic code for transcription factor-DNA recognition through computation of binding interfaces |
title_full_unstemmed | A deterministic code for transcription factor-DNA recognition through computation of binding interfaces |
title_short | A deterministic code for transcription factor-DNA recognition through computation of binding interfaces |
title_sort | deterministic code for transcription factor-dna recognition through computation of binding interfaces |
topic | Standard Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896162/ https://www.ncbi.nlm.nih.gov/pubmed/35261972 http://dx.doi.org/10.1093/nargab/lqac008 |
work_keys_str_mv | AT trerotolamarco adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT antolinilaura adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT benilaura adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT guerraemanuela adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT spadaccinimariano adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT verzullidamiano adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT moschellaantonino adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT albertisaverio adeterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT trerotolamarco deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT antolinilaura deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT benilaura deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT guerraemanuela deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT spadaccinimariano deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT verzullidamiano deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT moschellaantonino deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces AT albertisaverio deterministiccodefortranscriptionfactordnarecognitionthroughcomputationofbindinginterfaces |