Literature DB >> 21877279

Studying binding specificities of peptide recognition modules by high-throughput phage display selections.

Haiming Huang1, Sachdev S Sidhu.   

Abstract

Peptide recognition modules (PRMs) play critical roles in cellular processes, including differentiation, proliferation and cytoskeleton organization. PRMs normally bind to short linear motifs in protein ligands, and by so doing recruit proteins into signaling complexes. Based on the binding specificity profile of a PRM, one can predict putative natural interaction partners by searching genome databases. Candidate interaction partners can in turn provide clues to assemble potential in vivo protein complexes that the PRM may be involved with. Combinatorial peptide libraries have proven to be effective tools for profiling the binding specificities of PRMs. Herein, we describe high-throughput methods for the expression and purification of PRM proteins and the use of peptide-phage libraries for PRM specificity profiling. These high-throughput methods greatly expedite the study of PRM families on a genome-wide scale.

Mesh:

Substances:

Year:  2011        PMID: 21877279     DOI: 10.1007/978-1-61779-276-2_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

1.  Selection of recombinant anti-SH3 domain antibodies by high-throughput phage display.

Authors:  Haiming Huang; Nicolas O Economopoulos; Bernard A Liu; Andrea Uetrecht; Jun Gu; Nick Jarvik; Vincent Nadeem; Tony Pawson; Jason Moffat; Shane Miersch; Sachdev S Sidhu
Journal:  Protein Sci       Date:  2015-09-16       Impact factor: 6.725

2.  Scalable high throughput selection from phage-displayed synthetic antibody libraries.

Authors:  Shane Miersch; Zhijian Li; Rachel Hanna; Megan E McLaughlin; Michael Hornsby; Tet Matsuguchi; Marcin Paduch; Annika Sääf; Jim Wells; Shohei Koide; Anthony Kossiakoff; Sachdev S Sidhu
Journal:  J Vis Exp       Date:  2015-01-17       Impact factor: 1.355

3.  Systematic Discovery of Short Linear Motifs Decodes Calcineurin Phosphatase Signaling.

Authors:  Callie P Wigington; Jagoree Roy; Nikhil P Damle; Vikash K Yadav; Cecilia Blikstad; Eduard Resch; Cassandra J Wong; Douglas R Mackay; Jennifer T Wang; Izabella Krystkowiak; Devin A Bradburn; Eirini Tsekitsidou; Su Hyun Hong; Malika Amyn Kaderali; Shou-Ling Xu; Tim Stearns; Anne-Claude Gingras; Katharine S Ullman; Ylva Ivarsson; Norman E Davey; Martha S Cyert
Journal:  Mol Cell       Date:  2020-07-08       Impact factor: 17.970

4.  Flexible backbone sampling methods to model and design protein alternative conformations.

Authors:  Noah Ollikainen; Colin A Smith; James S Fraser; Tanja Kortemme
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

5.  Structural basis for arginine methylation-independent recognition of PIWIL1 by TDRD2.

Authors:  Heng Zhang; Ke Liu; Natsuko Izumi; Haiming Huang; Deqiang Ding; Zuyao Ni; Sachdev S Sidhu; Chen Chen; Yukihide Tomari; Jinrong Min
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-08       Impact factor: 11.205

6.  A Consensus Binding Motif for the PP4 Protein Phosphatase.

Authors:  Yumi Ueki; Thomas Kruse; Melanie Bianca Weisser; Gustav N Sundell; Marie Sofie Yoo Larsen; Blanca Lopez Mendez; Nicole P Jenkins; Dimitriya H Garvanska; Lauren Cressey; Gang Zhang; Norman Davey; Guillermo Montoya; Ylva Ivarsson; Arminja N Kettenbach; Jakob Nilsson
Journal:  Mol Cell       Date:  2019-10-01       Impact factor: 17.970

7.  Screening Intrinsically Disordered Regions for Short Linear Binding Motifs.

Authors:  Muhammad Ali; Leandro Simonetti; Ylva Ivarsson
Journal:  Methods Mol Biol       Date:  2020

8.  High-throughput methods for identification of protein-protein interactions involving short linear motifs.

Authors:  Cecilia Blikstad; Ylva Ivarsson
Journal:  Cell Commun Signal       Date:  2015-08-22       Impact factor: 5.712

9.  Optimizing Production of Antigens and Fabs in the Context of Generating Recombinant Antibodies to Human Proteins.

Authors:  Nan Zhong; Peter Loppnau; Alma Seitova; Mani Ravichandran; Maria Fenner; Harshika Jain; Anandi Bhattacharya; Ashley Hutchinson; Marcin Paduch; Vincent Lu; Michal Olszewski; Anthony A Kossiakoff; Evan Dowdell; Akiko Koide; Shohei Koide; Haiming Huang; Vincent Nadeem; Sachdev S Sidhu; Jack F Greenblatt; Edyta Marcon; Cheryl H Arrowsmith; Aled M Edwards; Susanne Gräslund
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

10.  A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening.

Authors:  Jouhyun Jeon; Satra Nim; Joan Teyra; Alessandro Datti; Jeffrey L Wrana; Sachdev S Sidhu; Jason Moffat; Philip M Kim
Journal:  Genome Med       Date:  2014-07-30       Impact factor: 11.117

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.