Literature DB >> 24686319

A high throughput MHC II binding assay for quantitative analysis of peptide epitopes.

Regina Salvat1, Leonard Moise2, Chris Bailey-Kellogg3, Karl E Griswold4.   

Abstract

Biochemical assays with recombinant human MHC II molecules can provide rapid, quantitative insights into immunogenic epitope identification, deletion, or design(1,2). Here, a peptide-MHC II binding assay is scaled to 384-well format. The scaled down protocol reduces reagent costs by 75% and is higher throughput than previously described 96-well protocols(1,3-5). Specifically, the experimental design permits robust and reproducible analysis of up to 15 peptides against one MHC II allele per 384-well ELISA plate. Using a single liquid handling robot, this method allows one researcher to analyze approximately ninety test peptides in triplicate over a range of eight concentrations and four MHC II allele types in less than 48 hr. Others working in the fields of protein deimmunization or vaccine design and development may find the protocol to be useful in facilitating their own work. In particular, the step-by-step instructions and the visual format of JoVE should allow other users to quickly and easily establish this methodology in their own labs.

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Year:  2014        PMID: 24686319      PMCID: PMC4027027          DOI: 10.3791/51308

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  35 in total

1.  ProPred: prediction of HLA-DR binding sites.

Authors:  H Singh; G P Raghava
Journal:  Bioinformatics       Date:  2001-12       Impact factor: 6.937

Review 2.  Cell biology of antigen processing in vitro and in vivo.

Authors:  E Sergio Trombetta; Ira Mellman
Journal:  Annu Rev Immunol       Date:  2005       Impact factor: 28.527

3.  Optimization of therapeutic proteins to delete T-cell epitopes while maintaining beneficial residue interactions.

Authors:  Andrew S Parker; Karl E Griswold; Chris Bailey-Kellogg
Journal:  J Bioinform Comput Biol       Date:  2011-04       Impact factor: 1.122

4.  Structure-guided deimmunization of therapeutic proteins.

Authors:  Andrew S Parker; Yoonjoo Choi; Karl E Griswold; Chris Bailey-Kellogg
Journal:  J Comput Biol       Date:  2013-02       Impact factor: 1.479

5.  Optimization algorithms for functional deimmunization of therapeutic proteins.

Authors:  Andrew S Parker; Wei Zheng; Karl E Griswold; Chris Bailey-Kellogg
Journal:  BMC Bioinformatics       Date:  2010-04-09       Impact factor: 3.169

Review 6.  Reverse vaccinology: developing vaccines in the era of genomics.

Authors:  Alessandro Sette; Rino Rappuoli
Journal:  Immunity       Date:  2010-10-29       Impact factor: 31.745

7.  In silico-accelerated identification of conserved and immunogenic variola/vaccinia T-cell epitopes.

Authors:  Leonard Moise; Julie A McMurry; Soren Buus; Sharon Frey; William D Martin; Anne S De Groot
Journal:  Vaccine       Date:  2009-06-24       Impact factor: 3.641

8.  SVRMHC prediction server for MHC-binding peptides.

Authors:  Ji Wan; Wen Liu; Qiqi Xu; Yongliang Ren; Darren R Flower; Tongbin Li
Journal:  BMC Bioinformatics       Date:  2006-10-23       Impact factor: 3.169

9.  A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach.

Authors:  Peng Wang; John Sidney; Courtney Dow; Bianca Mothé; Alessandro Sette; Bjoern Peters
Journal:  PLoS Comput Biol       Date:  2008-04-04       Impact factor: 4.475

10.  Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method.

Authors:  Morten Nielsen; Claus Lundegaard; Ole Lund
Journal:  BMC Bioinformatics       Date:  2007-07-04       Impact factor: 3.169

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  10 in total

1.  Depletion of T cell epitopes in lysostaphin mitigates anti-drug antibody response and enhances antibacterial efficacy in vivo.

Authors:  Hongliang Zhao; Deeptak Verma; Wen Li; Yoonjoo Choi; Christian Ndong; Steven N Fiering; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Chem Biol       Date:  2015-05-21

2.  Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity.

Authors:  Regina S Salvat; Deeptak Verma; Andrew S Parker; Jack R Kirsch; Seth A Brooks; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-12       Impact factor: 11.205

3.  Protein deimmunization via structure-based design enables efficient epitope deletion at high mutational loads.

Authors:  Regina S Salvat; Yoonjoo Choi; Alexandra Bishop; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Biotechnol Bioeng       Date:  2015-02-23       Impact factor: 4.530

4.  Computationally driven deletion of broadly distributed T cell epitopes in a biotherapeutic candidate.

Authors:  Regina S Salvat; Andrew S Parker; Andrew Guilliams; Yoonjoo Choi; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Cell Mol Life Sci       Date:  2014-06-01       Impact factor: 9.261

Review 5.  Immunogenicity of Protein Pharmaceuticals.

Authors:  Robert Dingman; Sathy V Balu-Iyer
Journal:  J Pharm Sci       Date:  2018-12-30       Impact factor: 3.534

6.  Structure-based redesign of lysostaphin yields potent antistaphylococcal enzymes that evade immune cell surveillance.

Authors:  Kristina Blazanovic; Hongliang Zhao; Yoonjoo Choi; Wen Li; Regina S Salvat; Daniel C Osipovitch; Jennifer Fields; Leonard Moise; Brent L Berwin; Steven N Fiering; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Mol Ther Methods Clin Dev       Date:  2015-06-17       Impact factor: 6.698

7.  Mapping the Pareto optimal design space for a functionally deimmunized biotherapeutic candidate.

Authors:  Regina S Salvat; Andrew S Parker; Yoonjoo Choi; Chris Bailey-Kellogg; Karl E Griswold
Journal:  PLoS Comput Biol       Date:  2015-01-08       Impact factor: 4.475

8.  A cell-based high-throughput screening assay system for inhibitor compounds of antigen presentation by HLA class II molecule.

Authors:  Nobuo Watanabe; Yusuke Suzuki; Takahisa Yonezu; Yuki Nakagawa; Takashi Shiina; Noriaki Hirayama; Sadaki Inokuchi; Shigeaki Inoue
Journal:  Sci Rep       Date:  2017-07-28       Impact factor: 4.379

9.  Transcriptome analyses of immune tissues from three Japanese frogs (genus Rana ) reveals their utility in characterizing major histocompatibility complex class II.

Authors:  Quintin Lau; Takeshi Igawa; Ryuhei Minei; Tiffany A Kosch; Yoko Satta
Journal:  BMC Genomics       Date:  2017-12-28       Impact factor: 3.969

Review 10.  Predicting Antigen Presentation-What Could We Learn From a Million Peptides?

Authors:  David Gfeller; Michal Bassani-Sternberg
Journal:  Front Immunol       Date:  2018-07-25       Impact factor: 7.561

  10 in total

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