Literature DB >> 16623770

Use of baculovirus MHC/peptide display libraries to characterize T-cell receptor ligands.

Frances Crawford1, Kimberly R Jordan, Brian Stadinski, Yibing Wang, Eric Huseby, Philippa Marrack, Jill E Slansky, John W Kappler.   

Abstract

Peptide/protein display libraries are powerful tools for identifying and manipulating receptor/ligand pairs. While the large size of bacterial phage display libraries has made them the platform of choice in many applications, often considerable engineering has been required to achieve display of properly folded and active eukaryotic proteins, such as antibodies. This problem has been partially solved in several eukaryotic display systems, e.g. using yeast or retroviruses, but these systems have their own limitations. Recently, baculovirus has been developed as a display system using the virus itself or infected insect cells as the display platform. Here, we review the development and use of baculovirus-infected cells as a platform for display libraries of peptides bound to major histocompatibility complex (MHC) class I (MHCI) or class II (MHCII). We have used fluorescent multimeric soluble T-cell receptors (TCRs) to screen these libraries and to identify peptide antigen mimotopes. We also present some improvements to this system that allow very large libraries to be constructed and screened. We have used these libraries to examine the role of MHCII-bound peptides in the presentation of the staphylococcal enterotoxin A (SEA) and to manipulate an MHCI tumor-associated antigen.

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Year:  2006        PMID: 16623770     DOI: 10.1111/j.0105-2896.2006.00365.x

Source DB:  PubMed          Journal:  Immunol Rev        ISSN: 0105-2896            Impact factor:   12.988


  36 in total

1.  Diabetogenic T cells recognize insulin bound to IAg7 in an unexpected, weakly binding register.

Authors:  Brian D Stadinski; Li Zhang; Frances Crawford; Philippa Marrack; George S Eisenbarth; John W Kappler
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-01       Impact factor: 11.205

2.  Unbiased identification of target antigens of CD8+ T cells with combinatorial libraries coding for short peptides.

Authors:  Katherina Siewert; Joachim Malotka; Naoto Kawakami; Hartmut Wekerle; Reinhard Hohlfeld; Klaus Dornmair
Journal:  Nat Med       Date:  2012-05       Impact factor: 53.440

3.  High-throughput engineering and analysis of peptide binding to class II MHC.

Authors:  Wei Jiang; Eric T Boder
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-09       Impact factor: 11.205

4.  Cell surface display of functional human MHC class II proteins: yeast display versus insect cell display.

Authors:  Fei Wen; Dhruv K Sethi; Kai W Wucherpfennig; Huimin Zhao
Journal:  Protein Eng Des Sel       Date:  2011-07-13       Impact factor: 1.650

5.  Baculovirus-infected insect cells expressing peptide-MHC complexes elicit protective antitumor immunity.

Authors:  Kimberly R Jordan; Rachel H McMahan; Jason Z Oh; Matthew R Pipeling; Drew M Pardoll; Ross M Kedl; John W Kappler; Jill E Slansky
Journal:  J Immunol       Date:  2008-01-01       Impact factor: 5.422

6.  Conference summary.

Authors:  Philippa Marrack
Journal:  Proc Am Thorac Soc       Date:  2007-08-15

7.  Baculovirus display of functional antibody Fab fragments.

Authors:  Shinya Takada; Takafumi Ogawa; Kazusa Matsui; Tasuku Suzuki; Tomohisa Katsuda; Hideki Yamaji
Journal:  Cytotechnology       Date:  2015-04-24       Impact factor: 2.058

Review 8.  T cell antigen discovery.

Authors:  Alok V Joglekar; Guideng Li
Journal:  Nat Methods       Date:  2020-07-06       Impact factor: 28.547

Review 9.  Improving T cell responses to modified peptides in tumor vaccines.

Authors:  Jonathan D Buhrman; Jill E Slansky
Journal:  Immunol Res       Date:  2013-03       Impact factor: 2.829

10.  T-cell receptor (TCR) interaction with peptides that mimic nickel offers insight into nickel contact allergy.

Authors:  Lei Yin; Frances Crawford; Philippa Marrack; John W Kappler; Shaodong Dai
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

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