Engineering High Affinity Protein-Protein Interactions Using a High-Throughput Microcapillary Array Platform

被引:12
|
作者
Lim, Sungwon [1 ]
Chen, Bob [1 ]
Kariolis, Mihalis S. [1 ]
Dimov, Ivan K. [2 ]
Baer, Thomas M. [3 ]
Cochran, Jennifer R. [1 ,4 ]
机构
[1] Stanford Univ, Dept Bioengn, 450 Serra Mall, Stanford, CA 94305 USA
[2] Stanford Univ, Inst Stem Cell Biol & Regenerat Med, 450 Serra Mall, Stanford, CA 94305 USA
[3] Stanford Univ, Stanford Photon Res Ctr, 450 Serra Mall, Stanford, CA 94305 USA
[4] Stanford Univ, Chem Engn, 450 Serra Mall, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
YEAST SURFACE DISPLAY; POLYPEPTIDE LIBRARIES; DIRECTED EVOLUTION; HUMAN-ANTIBODIES; PCR;
D O I
10.1021/acschembio.6b00794
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
Affinity maturation of protein protein interactions requires iterative rounds of protein library generation and high-throughput screening to identify variants that bind with increased affinity to a target of interest. We recently developed a multipurpose protein engineering platform, termed mu SCALE (Microcapillary Single Cell Analysis and Laser Extraction). This technology enables high-throughput screening of libraries of millions of cell-expressing protein variants based on their binding properties or functional activity. Here, we demonstrate the first use of the mu SCALE platform for affinity maturation of a protein protein binding, interaction. In this proof-of-concept study, we engineered an extracellular domain of the Axl receptor tyrosine kinase to bind tighter to its ligand Gas6. Within 2 weeks, two iterative rounds of library generation and screening resulted in engineered Axl variants with a 50-fold decrease in kinetic dissociation rate, highlighting the use of mu SCALE as a new tool for directed evolution.
引用
收藏
页码:336 / 341
页数:6
相关论文
共 50 条
  • [21] Engineering Staphylococcal Protein A for high-throughput affinity purification of monoclonal antibodies
    Amritkar, Vinod
    Adat, Satish
    Tejwani, Vijay
    Rathore, Anurag
    Bhambure, Rahul
    BIOTECHNOLOGY ADVANCES, 2020, 44 (44)
  • [22] FRETex: a FRET-based, high-throughput technique to analyze protein-protein interactions
    Khait, Ruth
    Schreiber, Gideon
    PROTEIN ENGINEERING DESIGN & SELECTION, 2012, 25 (11): : 681 - 687
  • [23] Automated High-Throughput Fluorescence Lifetime Imaging Microscopy to Detect Protein-Protein Interactions
    Guzman, Camilo
    Oetken-Lindholm, Christina
    Abankwa, Daniel
    JALA, 2016, 21 (02): : 238 - 245
  • [24] High-throughput methods for identification of protein-protein interactions involving short linear motifs
    Cecilia Blikstad
    Ylva Ivarsson
    Cell Communication and Signaling, 13
  • [25] New homogeneous high-throughput assays for inhibitors of β-catenin/Tcf protein-protein interactions
    Zhang, Min
    Huang, Zheng
    Yu, Binxun
    Ji, Haitao
    ANALYTICAL BIOCHEMISTRY, 2012, 424 (01) : 57 - 63
  • [26] Proteome-wide prediction of protein-protein interactions from high-throughput data
    Liu, Zhi-Ping
    Chen, Luonan
    PROTEIN & CELL, 2012, 3 (07) : 508 - 520
  • [27] High-throughput methods for identification of protein-protein interactions involving short linear motifs
    Blikstad, Cecilia
    Ivarsson, Ylva
    CELL COMMUNICATION AND SIGNALING, 2015, 13
  • [28] Inhibitors of Difficult Protein-Protein Interactions Identified by High-Throughput Screening of Multiprotein Complexes
    Cesa, Laura C.
    Patury, Srikanth
    Komiyama, Tomoko
    Ahmad, Atta
    Zuiderweg, Erik R. P.
    Gestwicki, Jason E.
    ACS CHEMICAL BIOLOGY, 2013, 8 (09) : 1988 - 1997
  • [29] Proteome-wide prediction of protein-protein interactions from high-throughput data
    ZhiPing Liu
    Luonan Chen
    Protein & Cell, 2012, 3 (07) : 508 - 520
  • [30] Influence of Protein Abundance on High-Throughput Protein-Protein Interaction Detection
    Ivanic, Joseph
    Yu, Xueping
    Wallqvist, Anders
    Reifman, Jaques
    PLOS ONE, 2009, 4 (06):