Literature DB >> 21044632

Real-time, high-throughput measurements of peptide-MHC-I dissociation using a scintillation proximity assay.

Mikkel Harndahl1, Michael Rasmussen, Gustav Roder, Søren Buus.   

Abstract

Efficient presentation of peptide-MHC class I complexes to immune T cells depends upon stable peptide-MHC class I interactions. Theoretically, determining the rate of dissociation of a peptide-MHC class I complexes is straightforward; in practical terms, however, generating the accurate and closely timed data needed to determine the rate of dissociation is not simple. Ideally, one should use a homogenous assay involving an inexhaustible and label-free assay principle. Here, we present a homogenous, high-throughput peptide-MHC class I dissociation assay, which by and large fulfill these ideal requirements. To avoid labeling of the highly variable peptide, we labeled the invariant β2m and monitored its dissociation by a scintillation proximity assay, which has no separation steps and allows for real-time quantitative measurement of dissociation. Validating this work-around to create a virtually label-free assay, we showed that rates of peptide-MHC class I dissociation measured in this assay correlated well with rates of dissociation rates measured conventionally with labeled peptides. This assay can be used to measure the stability of any peptide-MHC class I combination, it is reproducible and it is well suited for high-throughput screening. To exemplify this, we screened a panel of 384 high-affinity peptides binding to the MHC class I molecule, HLA-A*02:01, and observed the rates of dissociation that ranged from 0.1h to 46h depending on the peptide used.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21044632      PMCID: PMC4341823          DOI: 10.1016/j.jim.2010.10.012

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  26 in total

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Authors:  Christopher E Heise; Susan K Sullivan; Paul D Crowe
Journal:  J Biomol Screen       Date:  2007-01-04

2.  The relation between major histocompatibility complex (MHC) restriction and the capacity of Ia to bind immunogenic peptides.

Authors:  S Buus; A Sette; S M Colon; C Miles; H M Grey
Journal:  Science       Date:  1987-03-13       Impact factor: 47.728

3.  Measuring interactions of MHC class I molecules using surface plasmon resonance.

Authors:  S N Khilko; M T Jelonek; M Corr; L F Boyd; A L Bothwell; D H Margulies
Journal:  J Immunol Methods       Date:  1995-06-14       Impact factor: 2.303

4.  Secondary anchor substitutions in an HLA-A*0201-restricted T-cell epitope derived from Her-2/neu.

Authors:  Matthew A Joseph; Megan L Mitchell; Jeffrey D Evanseck; Jeffrey R Kovacs; Liang Jia; Hongmei Shen; Wilson S Meng
Journal:  Mol Immunol       Date:  2006-04-04       Impact factor: 4.407

5.  Photophysical analysis of class I major histocompatibility complex protein assembly using a xanthene-derivatized beta2-microglobulin.

Authors:  D M Gakamsky; D M Davis; E Haas; J L Strominger; I Pecht
Journal:  Biophys J       Date:  1999-03       Impact factor: 4.033

6.  A quantitative assay to measure the interaction between immunogenic peptides and purified class I major histocompatibility complex molecules.

Authors:  A C Olsen; L O Pedersen; A S Hansen; M H Nissen; M Olsen; P R Hansen; A Holm; S Buus
Journal:  Eur J Immunol       Date:  1994-02       Impact factor: 5.532

7.  The interaction between beta 2-microglobulin (beta 2m) and purified class-I major histocompatibility (MHC) antigen.

Authors:  L O Pedersen; A S Hansen; A C Olsen; J Gerwien; M H Nissen; S Buus
Journal:  Scand J Immunol       Date:  1994-01       Impact factor: 3.487

8.  A quantitative analysis of the variables affecting the repertoire of T cell specificities recognized after vaccinia virus infection.

Authors:  Erika Assarsson; John Sidney; Carla Oseroff; Valerie Pasquetto; Huynh-Hoa Bui; Nicole Frahm; Christian Brander; Bjoern Peters; Howard Grey; Alessandro Sette
Journal:  J Immunol       Date:  2007-06-15       Impact factor: 5.422

9.  The immune epitope database and analysis resource: from vision to blueprint.

Authors:  Bjoern Peters; John Sidney; Phil Bourne; Huynh-Hoa Bui; Soeren Buus; Grace Doh; Ward Fleri; Mitch Kronenberg; Ralph Kubo; Ole Lund; David Nemazee; Julia V Ponomarenko; Muthu Sathiamurthy; Stephen Schoenberger; Scott Stewart; Pamela Surko; Scott Way; Steve Wilson; Alessandro Sette
Journal:  PLoS Biol       Date:  2005-03       Impact factor: 8.029

10.  One-pot, mix-and-read peptide-MHC tetramers.

Authors:  Christian Leisner; Nina Loeth; Kasper Lamberth; Sune Justesen; Christina Sylvester-Hvid; Esben G Schmidt; Mogens Claesson; Soren Buus; Anette Stryhn
Journal:  PLoS One       Date:  2008-02-27       Impact factor: 3.240

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  38 in total

1.  Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?

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Journal:  Expert Rev Vaccines       Date:  2012-01       Impact factor: 5.217

2.  Drug hypersensitivity caused by alteration of the MHC-presented self-peptide repertoire.

Authors:  David A Ostrov; Barry J Grant; Yuri A Pompeu; John Sidney; Mikkel Harndahl; Scott Southwood; Carla Oseroff; Shun Lu; Jean Jakoncic; Cesar Augusto F de Oliveira; Lun Yang; Hu Mei; Leming Shi; Jeffrey Shabanowitz; A Michelle English; Amanda Wriston; Andrew Lucas; Elizabeth Phillips; Simon Mallal; Howard M Grey; Alessandro Sette; Donald F Hunt; Soren Buus; Bjoern Peters
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

3.  A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-1*04:01, SLA-2*04:01, and SLA-3*04:01.

Authors:  Lasse Eggers Pedersen; Michael Rasmussen; Mikkel Harndahl; Morten Nielsen; Søren Buus; Gregers Jungersen
Journal:  Immunogenetics       Date:  2015-11-14       Impact factor: 2.846

4.  NetMHCstab - predicting stability of peptide-MHC-I complexes; impacts for cytotoxic T lymphocyte epitope discovery.

Authors:  Kasper W Jørgensen; Michael Rasmussen; Søren Buus; Morten Nielsen
Journal:  Immunology       Date:  2014-01       Impact factor: 7.397

5.  Differential scanning fluorimetry based assessments of the thermal and kinetic stability of peptide-MHC complexes.

Authors:  Lance M Hellman; Liusong Yin; Yuan Wang; Sydney J Blevins; Timothy P Riley; Orrin S Belden; Timothy T Spear; Michael I Nishimura; Lawrence J Stern; Brian M Baker
Journal:  J Immunol Methods       Date:  2016-02-18       Impact factor: 2.303

6.  Measurement of MHC/peptide interactions by gel filtration or monoclonal antibody capture.

Authors:  John Sidney; Scott Southwood; Carrie Moore; Carla Oseroff; Clemencia Pinilla; Howard M Grey; Alessandro Sette
Journal:  Curr Protoc Immunol       Date:  2013-02

7.  Pan-Specific Prediction of Peptide-MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity.

Authors:  Michael Rasmussen; Emilio Fenoy; Mikkel Harndahl; Anne Bregnballe Kristensen; Ida Kallehauge Nielsen; Morten Nielsen; Søren Buus
Journal:  J Immunol       Date:  2016-07-08       Impact factor: 5.422

8.  Uncovering the peptide-binding specificities of HLA-C: a general strategy to determine the specificity of any MHC class I molecule.

Authors:  Michael Rasmussen; Mikkel Harndahl; Anette Stryhn; Rachid Boucherma; Lise Lotte Nielsen; François A Lemonnier; Morten Nielsen; Søren Buus
Journal:  J Immunol       Date:  2014-10-13       Impact factor: 5.422

9.  CD8+ TCR Bias and Immunodominance in HIV-1 Infection.

Authors:  Henrik N Kløverpris; Reuben McGregor; James E McLaren; Kristin Ladell; Mikkel Harndahl; Anette Stryhn; Jonathan M Carlson; Catherine Koofhethile; Bram Gerritsen; Can Keşmir; Fabian Chen; Lynn Riddell; Graz Luzzi; Alasdair Leslie; Bruce D Walker; Thumbi Ndung'u; Søren Buus; David A Price; Philip J Goulder
Journal:  J Immunol       Date:  2015-04-24       Impact factor: 5.422

Review 10.  Current tools for predicting cancer-specific T cell immunity.

Authors:  David Gfeller; Michal Bassani-Sternberg; Julien Schmidt; Immanuel F Luescher
Journal:  Oncoimmunology       Date:  2016-04-25       Impact factor: 8.110

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