Literature DB >> 14608365

Analyzing antibody specificity with whole proteome microarrays.

Gregory A Michaud1, Michael Salcius, Fang Zhou, Rhonda Bangham, Jaclyn Bonin, Hong Guo, Michael Snyder, Paul F Predki, Barry I Schweitzer.   

Abstract

Although approximately 10,000 antibodies are available from commercial sources, antibody reagents are still unavailable for most proteins. Furthermore, new applications such as antibody arrays and monoclonal antibody therapeutics have increased the demand for more specific antibodies to reduce cross-reactivity and side effects. An array containing every protein for the relevant organism represents the ideal format for an assay to test antibody specificity, because it allows the simultaneous screening of thousands of proteins for possible cross-reactivity. As an initial test of this approach, we screened 11 polyclonal and monoclonal antibodies to approximately 5,000 different yeast proteins deposited on a glass slide and found that, in addition to recognizing their cognate proteins, the antibodies cross-reacted with other yeast proteins to varying degrees. Some of the interactions of the antibodies with noncognate proteins could be deduced by alignment of the primary amino acid sequences of the antigens and cross-reactive proteins; however, these interactions could not be predicted a priori. Our findings show that proteome array technology has potential to improve antibody design and selection for applications in both medicine and research.

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Year:  2003        PMID: 14608365     DOI: 10.1038/nbt910

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  68 in total

Review 1.  Application of microarrays in high-throughput enzymatic profiling.

Authors:  Mahesh Uttamchandani; Xuan Huang; Grace Y J Chen; Lay-Pheng Tan; Shao Q Yao
Journal:  Mol Biotechnol       Date:  2004-11       Impact factor: 2.695

2.  Simultaneous measurement of 10,000 protein-ligand affinity constants using microarray-based kinetic constant assays.

Authors:  James P Landry; Yiyan Fei; Xiangdong Zhu
Journal:  Assay Drug Dev Technol       Date:  2011-12-22       Impact factor: 1.738

3.  Exploring antibody recognition of sequence space through random-sequence peptide microarrays.

Authors:  Rebecca F Halperin; Phillip Stafford; Stephen Albert Johnston
Journal:  Mol Cell Proteomics       Date:  2010-11-09       Impact factor: 5.911

Review 4.  Protein binding specificity versus promiscuity.

Authors:  Gideon Schreiber; Amy E Keating
Journal:  Curr Opin Struct Biol       Date:  2010-11-09       Impact factor: 6.809

Review 5.  New tools for classification and monitoring of autoimmune diseases.

Authors:  Holden T Maecker; Tamsin M Lindstrom; William H Robinson; Paul J Utz; Matthew Hale; Scott D Boyd; Shai S Shen-Orr; C Garrison Fathman
Journal:  Nat Rev Rheumatol       Date:  2012-05-31       Impact factor: 20.543

6.  Protein microarray for profiling antibody responses to Yersinia pestis live vaccine.

Authors:  Bei Li; Lingxiao Jiang; Qifeng Song; Junxin Yang; Zeliang Chen; Zhaobiao Guo; Dongsheng Zhou; Zongmin Du; Yajun Song; Jin Wang; Hongxia Wang; Shouyi Yu; Jian Wang; Ruifu Yang
Journal:  Infect Immun       Date:  2005-06       Impact factor: 3.441

Review 7.  Multiplexed protein measurement: technologies and applications of protein and antibody arrays.

Authors:  Stephen F Kingsmore
Journal:  Nat Rev Drug Discov       Date:  2006-04       Impact factor: 84.694

8.  Self-assembled combinatorial encoding nanoarrays for multiplexed biosensing.

Authors:  Chenxiang Lin; Yan Liu; Hao Yan
Journal:  Nano Lett       Date:  2007-02       Impact factor: 11.189

Review 9.  Single cell protein analysis for systems biology.

Authors:  Ezra Levy; Nikolai Slavov
Journal:  Essays Biochem       Date:  2018-10-26       Impact factor: 8.000

10.  Sustained and differential antibody responses to virulence proteins of Brucella melitensis during acute and chronic infections in human brucellosis.

Authors:  J Xu; Y Qiu; M Cui; Y Ke; Q Zhen; X Yuan; Y Yu; X Du; J Yuan; H Song; Z Wang; G Gao; S Yu; Y Wang; L Huang; Z Chen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2012-11-15       Impact factor: 3.267

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