Lustro: High-Throughput Optogenetic Experiments Enabled by Automation and a Yeast Optogenetic Toolkit

被引:6
作者
Harmer, Zachary P. P. [1 ]
McClean, Megan N. N. [1 ,2 ]
机构
[1] Univ Wisconsin, Dept Biomed Engn, Madison, WI 53706 USA
[2] Univ Wisconsin, Sch Med & Publ Hlth, Carbone Canc Ctr, Madison, WI 53706 USA
来源
ACS SYNTHETIC BIOLOGY | 2023年 / 12卷 / 07期
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
optogenetics; automation; MoClo; yeast; high throughput; synthetic transcription factors; PROTEIN INTERACTIONS; GENE-EXPRESSION; LIGHT; TRANSCRIPTION; INDUCTION; FEEDBACK; DNA;
D O I
10.1021/acssynbio.3c00215
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Optogenetic systems use genetically encoded light-sensitiveproteinsto control cellular processes. This provides the potential to orthogonallycontrol cells with light; however, these systems require many design-build-testcycles to achieve a functional design and multiple illumination variablesneed to be laboriously tuned for optimal stimulation. We combine laboratoryautomation and a modular cloning scheme to enable high-throughputconstruction and characterization of optogenetic split transcriptionfactors in Saccharomyces cerevisiae. We expand the yeast optogenetic toolkit to include variants ofthe cryptochromes and enhanced Magnets, incorporate these light-sensitivedimerizers into split transcription factors, and automate illuminationand measurement of cultures in a 96-well microplate format for high-throughputcharacterization. We use this approach to rationally design and testan optimized enhanced Magnet transcription factor with improved light-sensitivegene expression. This approach is generalizable to the high-throughputcharacterization of optogenetic systems across a range of biologicalsystems and applications.
引用
收藏
页码:1943 / 1951
页数:9
相关论文
共 50 条
  • [21] High-throughput microfluidics to control and measure signaling dynamics in single yeast cells
    Hansen, Anders S.
    Hao, Nan
    O'Shea, Erin K.
    NATURE PROTOCOLS, 2015, 10 (08) : 1181 - 1197
  • [22] Efficient discovery and optimization of complex high-throughput experiments
    Cawse, James N.
    Gazzola, Gianluca
    Packard, Norman
    CATALYSIS TODAY, 2011, 159 (01) : 55 - 63
  • [23] High-Throughput Phenotyping Toolkit for Characterizing Cellular Models of Hypertrophic Cardiomyopathy In Vitro
    Mosqueira, Diogo
    Lis-Slimak, Katarzyna
    Denning, Chris
    METHODS AND PROTOCOLS, 2019, 2 (04)
  • [24] High-throughput Growth Measurements of Yeast Exposed to Visible Light
    Logg, Katarina
    Andersson, Mikael
    Blomberg, Anders
    Molin, Mikael
    BIO-PROTOCOL, 2022, 12 (02):
  • [25] Yeast Genomics Technique for High-Throughput Drug Target Discovery
    Sun, Zijun
    Sun, Yanyan
    Zhou, Yaxian
    Wan, Yakun
    DRUG DEVELOPMENT RESEARCH, 2012, 73 (07) : 398 - 405
  • [26] An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
    Katunin, Pavel
    Zhou, Jianbo
    Shehata, Ola M.
    Peden, Andrew A.
    Cadby, Ashley
    Nikolaev, Anton
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
  • [27] DFTTK: Density Functional Theory ToolKit for high-throughput lattice dynamics calculations
    Wang, Yi
    Liao, Mingqing
    Bocklund, Brandon J.
    Gao, Peng
    Shang, Shun-Li
    Kim, Hojong
    Beese, Allison M.
    Chen, Long-Qing
    Liu, Peng Zi-Kui
    CALPHAD-COMPUTER COUPLING OF PHASE DIAGRAMS AND THERMOCHEMISTRY, 2021, 75
  • [28] Predicting material properties by integrating high-throughput experiments, high-throughput ab-initio calculations, and machine learning
    Iwasaki, Yuma
    Ishida, Masahiko
    Shirane, Masayuki
    SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, 2020, 21 (01) : 25 - 28
  • [29] A high-throughput method for quantifying metabolically active yeast cells
    Nandy, Subir Kumar
    Knudsen, Peter Boldsen
    Rosenkjaer, Alexander
    Lantz, Anna Eliasson
    Thykaer, Jette
    Workman, Mhairi
    YEAST, 2015, 32 (06) : 461 - 468
  • [30] Reliable high-throughput approach for screening of engineered constitutive promoters in the yeast Pichia pastoris
    Qin, X.
    Qian, J.
    Xiao, C.
    Zhuang, Y.
    Zhang, S.
    Chu, J.
    LETTERS IN APPLIED MICROBIOLOGY, 2011, 52 (06) : 634 - 641