Literature DB >> 14511687

A proteomics-based approach for monoclonal antibody characterization.

Tracey Weiler1, Patricia Sauder, Keding Cheng, Werner Ens, Kenneth Standing, John A Wilkins.   

Abstract

The determination of monoclonal antibody specificity is dependent upon the availability of purified antigen. Such material is not always available and this has proven to be one of the rate-limiting steps in monoclonal antibody production. The aim of the present study was to develop a generic approach to defining antibody specificity that bypassed the need for pure antigens through the use of proteomics. The scheme and its application to several biological mixtures are described. The results demonstrate the ability of the approach to identify antibodies against both the major components and the minor contaminants of a protein mixture. This approach should markedly enhance the characterization of antibodies to complex antigen mixtures.

Mesh:

Substances:

Year:  2003        PMID: 14511687     DOI: 10.1016/s0003-2697(03)00469-x

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  3 in total

1.  A community standard format for the representation of protein affinity reagents.

Authors:  David E Gloriam; Sandra Orchard; Daniela Bertinetti; Erik Björling; Erik Bongcam-Rudloff; Carl A K Borrebaeck; Julie Bourbeillon; Andrew R M Bradbury; Antoine de Daruvar; Stefan Dübel; Ronald Frank; Toby J Gibson; Larry Gold; Niall Haslam; Friedrich W Herberg; Tara Hiltke; Jörg D Hoheisel; Samuel Kerrien; Manfred Koegl; Zoltán Konthur; Bernhard Korn; Ulf Landegren; Luisa Montecchi-Palazzi; Sandrine Palcy; Henry Rodriguez; Sonja Schweinsberg; Volker Sievert; Oda Stoevesandt; Michael J Taussig; Marius Ueffing; Mathias Uhlén; Silvère van der Maarel; Christer Wingren; Peter Woollard; David J Sherman; Henning Hermjakob
Journal:  Mol Cell Proteomics       Date:  2009-08-11       Impact factor: 5.911

2.  AbMiner: a bioinformatic resource on available monoclonal antibodies and corresponding gene identifiers for genomic, proteomic, and immunologic studies.

Authors:  Sylvia M Major; Satoshi Nishizuka; Daisaku Morita; Rick Rowland; Margot Sunshine; Uma Shankavaram; Frank Washburn; Daniel Asin; Hosein Kouros-Mehr; David Kane; John N Weinstein
Journal:  BMC Bioinformatics       Date:  2006-04-06       Impact factor: 3.169

3.  The identification and characterization of a novel protein, c19orf10, in the synovium.

Authors:  Tracey Weiler; Qiujiang Du; Oleg Krokhin; Werner Ens; Ken Standing; Hani El-Gabalawy; John A Wilkins
Journal:  Arthritis Res Ther       Date:  2007       Impact factor: 5.156

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.