4.7 Article

High-Throughput Affinity Measurements of Transcription Factor and DNA Mutations Reveal Affinity and Specificity Determinants

Journal

CELL SYSTEMS
Volume 12, Issue 2, Pages 112-+

Publisher

CELL PRESS
DOI: 10.1016/j.cels.2020.11.012

Keywords

-

Funding

  1. Alfred P. Sloan Foundation fellowship
  2. National Science Foundation (GRFP) [DGE-1656518]
  3. ChEM-H Chemistry/Biology Interface (CBI) Predoctoral Training program
  4. Canadian Institutes of Health Research (CIHR) Postdoctoral Fellowship
  5. Stanford MSTP program
  6. Stanford Interdisciplinary Graduate Fellowship (SIGF)
  7. Stanford ChEM-H

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This study utilized a high-throughput microfluidic platform to quantitatively characterize hundreds of TF variants, revealing that many mutations, while altering binding, preserved physiological binding. Additionally, biochemical double-mutant cycles across the TF-DNA interface elucidated molecular mechanisms driving recognition.
Transcription factors (TFs) bind regulatory DNA to control gene expression, and mutations to either TFs or DNA can alter binding affinities to rewire regulatory networks and drive phenotypic variation. While studies have profiled energetic effects of DNA mutations extensively, we lack similar information for TF variants. Here, we present STAMMP (simultaneous transcription factor affinity measurements via microfluidic protein arrays), a high-throughput microfluidic platform enabling quantitative characterization of hundreds of TF variants simultaneously. Measured affinities for similar to 210 mutants of a model yeast TF (Pho4) interacting with 9 oligonucleotides (>1,800 K(d)s) reveal that many combinations of mutations to poorly conserved TF residues and nucleotides flanking the core binding site alter but preserve physiological binding, providing a mechanism by which combinations of mutations in cis and trans could modulate TF binding to tune occupancies during evolution. Moreover, biochemical double-mutant cycles across the TF-DNA interface reveal molecular mechanisms driving recognition, linking sequence to function. A record of this paper's Transparent Peer Review process is included in the Supplemental Information.

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