Two distinct DNA sequences recognized by transcription factors represent enthalpy and entropy optima.


Type
Article
Change log
Authors
Morgunova, Ekaterina  ORCID logo  https://orcid.org/0000-0002-7754-9021
Yin, Yimeng 
Jolma, Arttu 
Zhu, Fangjie 
Abstract

Most transcription factors (TFs) can bind to a population of sequences closely related to a single optimal site. However, some TFs can bind to two distinct sequences that represent two local optima in the Gibbs free energy of binding (ΔG). To determine the molecular mechanism behind this effect, we solved the structures of human HOXB13 and CDX2 bound to their two optimal DNA sequences, CAATAAA and TCGTAAA. Thermodynamic analyses by isothermal titration calorimetry revealed that both sites were bound with similar ΔG. However, the interaction with the CAA sequence was driven by change in enthalpy (ΔH), whereas the TCG site was bound with similar affinity due to smaller loss of entropy (ΔS). This thermodynamic mechanism that leads to at least two local optima likely affects many macromolecular interactions, as ΔG depends on two partially independent variables ΔH and ΔS according to the central equation of thermodynamics, ΔG = ΔH - TΔS.

Description
Keywords
DNA recognition, biochemistry, chemical biology, enthalpy, entropy, epistasis, human, molecular biophysics, structural biology, thermodynamics, transcription factors, CDX2 Transcription Factor, DNA, Entropy, Homeodomain Proteins, Humans, Models, Molecular, Nucleic Acid Conformation, Protein Binding, Protein Conformation, Substrate Specificity, Thermodynamics
Journal Title
Elife
Conference Name
Journal ISSN
2050-084X
2050-084X
Volume Title
7
Publisher
eLife Sciences Publications, Ltd