Physicochemical models of protein-DNA binding with standard and modified base pairs.

DNA-binding proteins play important roles in various cellular processes, but the mechanisms by which proteins recognize genomic target sites remain incompletely understood. Functional groups at the edges of the base pairs (bp) exposed in the DNA grooves represent physicochemical signatures. As these signatures enable proteins to form specific contacts between protein residues and bp, their study can provide mechanistic insights into protein-DNA binding.

Transcription factor-nucleosome dynamics from plasma cfDNA identifies ER-driven states in breast cancer.

Genome-wide binding profiles of estrogen receptor (ER) and FOXA1 reflect cancer state in ER breast cancer. However, routine profiling of tumor transcription factor (TF) binding is impractical in the clinic. Here, we show that plasma cell-free DNA (cfDNA) contains high-resolution ER and FOXA1 tumor binding profiles for breast cancer.

A computational pipeline to visualize DNA-protein binding states using dSMF data.

Here, we present a pipeline to map states of protein-binding DNA . Our pipeline infers as well as quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, we show how our workflow identifies binding states at an enhancer in S2 cells.

Cooperative binding between distant transcription factors is a hallmark of active enhancers.

Enhancers harbor binding motifs that recruit transcription factors (TFs) for gene activation. While cooperative binding of TFs at enhancers is known to be critical for transcriptional activation of a handful of developmental enhancers, the extent of TF cooperativity genome-wide is unknown. Here, we couple high-resolution nuclease footprinting with single-molecule methylation profiling to characterize TF cooperativity at active enhancers in the Drosophila genome.

The RNA Polymerase α Subunit Recognizes the DNA Shape of the Upstream Promoter Element.

We demonstrate here that the α subunit C-terminal domain of RNA polymerase (αCTD) recognizes the upstream promoter (UP) DNA element via its characteristic minor groove shape and electrostatic potential. In two compositionally distinct crystallized assemblies, a pair of αCTD subunits bind in tandem to the UP element consensus A-tract that is 6 bp in length (A-tract), each with their arginine 265 guanidinium group inserted into the minor groove. The A-tract minor groove is significantly narrowed in these crystal structures, as well as in computationally predicted structures of free and bound DNA duplexes derived by Monte Carlo and molecular dynamics simulations, respectively.

Phenotypes from cell-free DNA.

Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents the nucleosomal landscape of cell(s)-of-origin and captures the dynamics of the epigenome. In this review, we highlight the emergence of cfDNA epigenomic methods that assess disease beyond the scope of mutant tumour genotyping.

Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein-DNA binding.

Background: DNA shape analysis has demonstrated the potential to reveal structure-based mechanisms of protein-DNA binding. However, information about the influence of chemical modification of DNA is limited. Cytosine methylation, the most frequent modification, represents the addition of a methyl group at the major groove edge of the cytosine base.

Genome-wide prediction of minor-groove electrostatic potential enables biophysical modeling of protein-DNA binding.

Protein-DNA binding is a fundamental component of gene regulatory processes, but it is still not completely understood how proteins recognize their target sites in the genome. Besides hydrogen bonding in the major groove (base readout), proteins recognize minor-groove geometry using positively charged amino acids (shape readout). The underlying mechanism of DNA shape readout involves the correlation between minor-groove width and electrostatic potential (EP).

Evolving insights on how cytosine methylation affects protein-DNA binding.

Many anecdotal observations exist of a regulatory effect of DNA methylation on gene expression. However, in general, the underlying mechanisms of this effect are poorly understood. In this review, we summarize what is currently known about how this important, but mysterious, epigenetic mark impacts cellular functions.

Capturing native/native like structures with a physico-chemical metric (pcSM) in protein folding.

Specification of the three dimensional structure of a protein from its amino acid sequence, also called a "Grand Challenge" problem, has eluded a solution for over six decades. A modestly successful strategy has evolved over the last couple of decades based on development of scoring functions (e.g.