A deterministic code for transcription factor-DNA recognition through computation of binding interfaces

Author:

Trerotola Marco12ORCID,Antolini Laura3ORCID,Beni Laura1,Guerra Emanuela12ORCID,Spadaccini Mariano4,Verzulli Damiano4,Moschella Antonino5ORCID,Alberti Saverio15ORCID

Affiliation:

1. Laboratory of Cancer Pathology, Center for Advanced Studies and Technology (CAST), University “G. D’ Annunzio”, Via L. Polacchi 11, 66100 Chieti, Italy

2. Department of Medical, Oral and Biotechnological Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy

3. Center for Biostatistics, Department of Clinical Medicine, Prevention and Biotechnology, University of Milano-Bicocca, 20052 Monza, Italy

4. Unit of Informatics, University “G. d’Annunzio”, 66100 Chieti, Italy

5. Unit of Medical Genetics, Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy

Abstract

Abstract 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.

Funder

The financial support of Telethon - Italy

Foundation Compagnia di San Paolo – Torino, Italy

Italian Association for Cancer Research

Italian Ministry for the University and Research

ABO Project SpA, Italy

Marie Curie-TOK Fellowship – EC VI Framework Programme

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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