Proteomics

Dataset Information

0

Ligand-induced shifts in conformational ensembles that predict transcriptional activation


ABSTRACT: Nuclear receptors function as ligand-regulated transcription factors whose ability to regulate diverse physiological processes is closely linked with conformational changes induced upon ligand binding. Understanding how conformational populations of nuclear receptors are shifted by various ligands could illuminate strategies for the design of synthetic modulators to regulate specific transcriptional programs. Here, we investigate ligand-induced conformational changes using a reconstructed, ancestral nuclear receptor. By making substitutions at a key position, we engineer receptor variants with altered ligand specificities. We use atomistic molecular dynamics (MD) simulations with enhanced sampling to generate ensembles of wildtype and engineered receptors in combination with multiple ligands, followed by conformational analysis and prediction of ligand activity. We combine cellular and biophysical experiments to allow correlation of MD-based predictions with functional ligand profiles, as well as elucidation of mechanisms underlying altered transcription in receptor variants. We determine that conformational ensembles accurately predict ligand responses based on observed population shifts, even within engineered receptors that were constitutively active or transcriptionally unresponsive in experiments. These studies provide a platform which will allow structural characterization of physiologically-relevant conformational ensembles, as well as provide the ability to design and predict transcriptional responses in novel ligands.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: SABAB HASAN KHAN  

LAB HEAD: C. Denise Okafor

PROVIDER: PXD036076 | Pride | 2022-10-12

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
210408_WTSR2_0sec_01.raw.zip Raw
210408_WTSR2_0sec_01_IA_final_protein.csv Csv
210408_WTSR2_0sec_02.raw.zip Raw
210408_WTSR2_0sec_02_IA_final_peptide.csv Csv
210408_WTSR2_0sec_03.raw.zip Raw
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