High-throughput identification of proteins with AMPylation using self-assembled human protein (NAPPA) microarrays

被引:29
|
作者
Yu, Xiaobo [1 ]
LaBaer, Joshua [1 ]
机构
[1] Arizona State Univ, Biodesign Inst, Virginia G Piper Ctr Personalized Diagnost, Tempe, AZ 85281 USA
基金
美国国家卫生研究院;
关键词
CHEMICAL REPORTERS; RHO GTPASES; FIC-DOMAIN; BINDING; EXPRESSION; REVEALS; CLONING; DOC;
D O I
10.1038/nprot.2015.044
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
AMPylation (adenylylation) has been recognized as an important post-translational modification that is used by pathogens to regulate host cellular proteins and their associated signaling pathways. AMPylation has potential functions in various cellular processes, and it is widely conserved across both prokaryotes and eukaryotes. However, despite the identification of many AMPylators, relatively few candidate substrates of AMPylation are known. This is changing with the recent development of a robust and reliable method for identifying new substrates using protein microarrays, which can markedly expand the list of potential substrates. Here we describe procedures for detecting AMPylated and auto-AMPylated proteins in a sensitive, high-throughput and nonradioactive manner. The approach uses high-density protein microarrays fabricated using nucleic acid programmable protein array (NAPPA) technology, which enables the highly successful display of fresh recombinant human proteins in situ. The modification of target proteins is determined via copper-catalyzed azide-alkyne cycloaddition (CuAAC). The assay can be accomplished within 11 h.
引用
收藏
页码:756 / 767
页数:12
相关论文
共 50 条
  • [41] Phenyx: Combining high-throughput and pertinence in protein identification
    Masselot, Alexandre
    Binz, Pierre-Alain
    Cambria, Lorenzo
    Appel, Ron D.
    MOLECULAR & CELLULAR PROTEOMICS, 2004, 3 (10) : S257 - S257
  • [42] High-throughput identification of transient extracellular protein interactions
    Wright, Gavin J.
    Martin, Stephen
    Bushell, K. Mark
    Soellner, Christian
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2010, 38 : 919 - 922
  • [43] A Self-Assembled Protein Nanotube with High Aspect Ratio
    Miranda, Frederico F.
    Iwasaki, Kenji
    Akashi, Satoko
    Sumitomo, Koji
    Kobayashi, Mime
    Yamashita, Ichiro
    Tame, Jeremy R. H.
    Heddle, Jonathan G.
    SMALL, 2009, 5 (18) : 2077 - 2084
  • [44] Quantifying protein–protein interactions in high throughput using protein domain microarrays
    Alexis Kaushansky
    John E Allen
    Andrew Gordus
    Michael A Stiffler
    Ethan S Karp
    Bryan H Chang
    Gavin MacBeath
    Nature Protocols, 2010, 5 : 773 - 790
  • [45] Proteins as T cell antigens: Methods for high-throughput identification
    Grubaugh, Daniel
    Flechtner, Jessica Baker
    Higgins, Darren E.
    VACCINE, 2013, 31 (37) : 3805 - 3810
  • [46] High-throughput protein purification using self-cleaving intein tags
    Coolbaugh, Michael J.
    Wood, David W.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 247
  • [47] High-throughput purification of recombinant proteins using self-cleaving intein tags
    Coolbaugh, M. J.
    Tang, M. J. Shakalli
    Wood, D. W.
    ANALYTICAL BIOCHEMISTRY, 2017, 516 : 65 - 74
  • [48] New developments in high-throughput resequencing and variation detection using high density microarrays
    Warrington, JA
    Shah, NA
    Chen, XY
    Janis, M
    Liu, CM
    Kondapalli, S
    Reyes, V
    Savage, MR
    Zhang, ZM
    Watts, R
    DeGuzman, M
    Berno, A
    Snyder, J
    Baid, J
    HUMAN MUTATION, 2002, 19 (04) : 402 - 409
  • [49] Transferable Self-Assembled Quantum Dot Microarrays for High-Resolution Luminescent Applications
    Xia, Dacheng
    Li, Jianping
    Zhang, Qiuyi
    Shen, Shuwen
    Sheng, Chenxu
    Cong, Chunxiao
    Qiu, Zhi-Jun
    Hu, Laigui
    Liu, Ran
    ACS APPLIED NANO MATERIALS, 2025, 8 (05) : 2493 - 2499
  • [50] High-throughput identification of autoantibodies that target the human exoproteome
    Wang, Eric Y.
    Dai, Yile
    Rosen, Connor E.
    Schmitt, Monica M.
    Dong, Mei X.
    Ferre, Elise M. N.
    Liu, Feimei
    Yang, Yi
    Gonzalez-Hernandez, Jaime A.
    Meffre, Eric
    Hinchcliff, Monique
    Koumpouras, Fotios
    Lionakis, Michail S.
    Ring, Aaron M.
    CELL REPORTS METHODS, 2022, 2 (02):