henhaobio
Sign in

Nucleic Acids ResearchMolecular BiologyPeer-reviewed journal article

Biophysical Principles of Lineage Factor PU.1 Binding Revealed by NextPBMs

Nima Mohaghegh, David Bray, Jessica L. KeenaniD, Ashley R. PenvoseiD, Kellen K AndrilenasiD, Vijendra RamlalliD, Trevor SiggersiD

PDFDOIPreprint

Abstract

Determining the biophysical principles that shape transcription factor (TF) binding in a cell-specific manner is key to quantitative models of gene expression. High-throughput (HT) in vitro methods measuring protein-DNA binding are invaluable for relating TF binding affinity to genome-wide binding; however, the impact of cell-specific post-translational modifications (PTMs) and cofactors are not routinely assessed. To address these limitations, we describe a new HT approach, called nextPBMs (nuclear extract protein-binding microarrays), to characterize TF binding that accounts for PTMs and endogenous cofactors. We use nextPBMs to examine the DNA binding of the lineage factor PU.1/Spi1 and IRF8 in human monocytes. We identify two binding modes for PU.1 in monocytes - autonomous binding unaffected by PTMs and cooperative binding with IRF8, and identify a single cooperative mode for IRF8. We characterize the DNA binding of PU.1:IRF8 complexes, and show how nextPBMs can be used to discover cell-specific cofactors and characterize TF cooperativity at single-nucleotide resolution. We show that chromatin state and cofactors both influence the affinity requirements for PU.1 binding sites. Furthermore, we find that the influences of cooperative (IRF8) and collaborative (C/EBP) cofactors on PU.1-binding-site affinity are independent and additive.

Citations
43
FWCI
4.14
Field percentile
top 4%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJana '24Rauluševiči '24Schaepe '25Yu '19Lupo '25Sadalge '25
64% semantic matchSystems Biology
Tamar Jana, Sagie Brodsky, Wajd Manadre+7 more·Nucleic Acids Research·Oct 16, 2024· 16 citations