CellBiophysicsPeer-reviewed journal article
Thermodynamic principles link in vitro transcription factor affinities to single-molecule chromatin states in cells
Julia M. SchaepeiD, Torbjörn Fries, Benjamin R. DoughtyiD, Vivekanandan RamalingamiD, Betty B. LiuiD, Olivia J CrockeriD, Georgi K. MarinoviD, Michaela M. HinksiD, Emil MarklundiD, William James GreenleafiD
Abstract
The molecular details governing transcription factor (TF) binding and the formation of accessible chromatin are not yet quantitatively understood - including how sequence context modulates affinity, how TFs search DNA, the kinetics of TF occupancy, and how motif grammars coordinate binding. To resolve these questions for a human TF, erythroid Kruppel-like factor (eKLF/KLF1), we quantitatively compare, in high throughput, in vitro TF binding rates and affinities with in vivo single molecule TF and nucleosome occupancies across engineered DNA sequences. We find that 40-fold flanking sequence effects on affinity are consistent with distal flanks tuning TF search parameters and captured by a linear energy model. Motif recognition probability, rather than time in the bound state, drives affinity changes, and in vitro and in nuclei measurements exhibit consistent, minutes-long TF residence times. Finally, pairing in vitro biophysical parameters with thermodynamic models accurately predicts in vivo single-molecule chromatin states for unseen motif grammars. HighlightsO_LIKLF1:DNA binding is consistent with a three state binding model wherein the probability of recognizing the motif from a nonspecifically-bound state drives affinity. C_LIO_LISubstantial effects from proximal and distal motif-flanking sequence on KLF1 binding affinity are captured by an extended PWM model. C_LIO_LIKLF minutes-long residence time inferred from single-molecule footprinting in nuclei is consistent with in vitro measurement. C_LIO_LIIn vitro binding energies combined with thermodynamic models predict in vivo, single-molecule chromatin configurations across motif grammars and sequence contexts. C_LI
- organism: human
- assay: ChIP-seq
- assay: DNA methylation
- research focus: chromatin & epigenetic regulation
- approach: statistical model
- Citations
- 19
- FWCI
- 5.72
- Field percentile
- top 2%
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