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

被引:17
|
作者
Aditham, Arjun K. [1 ,2 ]
Markin, Craig J. [3 ]
Mokhtari, Daniel A. [3 ]
DelRosso, Nicole [4 ]
Fordyce, Polly M. [1 ,2 ,5 ,6 ]
机构
[1] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[2] Stanford Univ, Stanford ChEM H, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Biochem, Stanford, CA 94305 USA
[4] Stanford Univ, Grad Program Biophys, Stanford, CA 94305 USA
[5] Stanford Univ, Dept Genet, Stanford, CA 94305 USA
[6] Chan Zuckerberg Biohub, San Francisco, CA 94110 USA
基金
美国国家科学基金会; 加拿大健康研究院;
关键词
AMINO-ACID SUBSTITUTIONS; FACTOR-BINDING-SITES; DOUBLE-MUTANT CYCLES; CRYSTAL-STRUCTURE; MICROFLUIDIC AFFINITY; SYSTEMS-APPROACH; SEQUENCE; PHO4; EXPRESSION; PREDICTION;
D O I
10.1016/j.cels.2020.11.012
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:112 / +
页数:27
相关论文
共 50 条
  • [1] High-throughput, quantitative measurements reveal the biophysical mechanisms by which transcription factor mutations drive disease
    Hastings, Renee
    Aditham, Arjun
    Fordyce, Polly
    BIOPHYSICAL JOURNAL, 2023, 122 (03) : 171A - 171A
  • [2] High-throughput assay for determining specificity and affinity of protein-DNA binding interactions
    Outi Hallikas
    Jussi Taipale
    Nature Protocols, 2006, 1 : 215 - 222
  • [3] High-throughput assay for determining specificity and affinity of protein-DNA binding interactions
    Hallikas, Outi
    Taipale, Jussi
    NATURE PROTOCOLS, 2006, 1 (01) : 215 - 222
  • [4] High-Throughput Screening for High Affinity Antibodies
    Tickle, Simon
    Adams, Ralph
    Brown, Derek
    Griffiths, Meryn
    Lightwood, Daniel
    Lawson, Alastair
    JALA, 2009, 14 (05): : 303 - 307
  • [5] Direct measurement of DNA affinity landscapes on a high-throughput sequencing instrument
    Nutiu, Razvan
    Friedman, Robin C.
    Luo, Shujun
    Khrebtukova, Irina
    Silva, David
    Li, Robin
    Zhang, Lu
    Schroth, Gary P.
    Burge, Christopher B.
    NATURE BIOTECHNOLOGY, 2011, 29 (07) : 659 - U146
  • [6] Direct measurement of DNA affinity landscapes on a high-throughput sequencing instrument
    Razvan Nutiu
    Robin C Friedman
    Shujun Luo
    Irina Khrebtukova
    David Silva
    Robin Li
    Lu Zhang
    Gary P Schroth
    Christopher B Burge
    Nature Biotechnology, 2011, 29 : 659 - 664
  • [7] A High-Throughput Platform Characterizes Functional Effects of Transcription Factor Mutations
    Aditham, Arjun K.
    DelRosso, Nicole V.
    Fordyce, Polly
    BIOPHYSICAL JOURNAL, 2020, 118 (03) : 74A - 75A
  • [8] High-throughput data and modeling reveal insights into the mechanisms of cooperative DNA-binding by transcription factor proteins
    Martin, Vincentius
    Zhuang, Farica
    Zhang, Yuning
    Pinheiro, Kyle
    Gordan, Raluca
    NUCLEIC ACIDS RESEARCH, 2023, 51 (21) : 11600 - 11612
  • [9] High-throughput binding affinity calculations at extreme scales
    Dakka, Jumana
    Turilli, Matteo
    Wright, David W.
    Zasada, Stefan J.
    Balasubramanian, Vivek
    Wan, Shunzhou
    Coveney, Peter V.
    Jha, Shantenu
    BMC BIOINFORMATICS, 2018, 19
  • [10] Multiplexed PrEST immunization for high-throughput affinity proteomics
    Larsson, Karin
    Wester, Kenneth
    Nilsson, Peter
    Uhlen, Mathias
    Hober, Sophia
    Wernerus, Henrik
    JOURNAL OF IMMUNOLOGICAL METHODS, 2006, 315 (1-2) : 110 - 120