Literature DB >> 12796447

Affinity proteomics for systematic protein profiling of chromosome 21 gene products in human tissues.

Charlotta Agaton1, Joakim Galli, Ingmarie Höidén Guthenberg, Lars Janzon, Marianne Hansson, Anna Asplund, Eva Brundell, Susanne Lindberg, Irene Ruthberg, Kenneth Wester, Dorothee Wurtz, Christer Höög, Joakim Lundeberg, Stefan Ståhl, Fredrik Pontén, Mathias Uhlén.   

Abstract

Here we show that an affinity proteomics strategy using affinity-purified antibodies raised against recombinant human protein fragments can be used for chromosome-wide protein profiling. The approach is based on affinity reagents raised toward bioinformatics-designed protein epitope signature tags corresponding to unique regions of individual gene loci. The genes of human chromosome 21 identified by the genome efforts were investigated, and the success rates for de novo cloning, protein production, and antibody generation were 85, 76, and 56%, respectively. Using human tissue arrays, a systematic profiling of protein expression and subcellular localization was undertaken for the putative gene products. The results suggest that this affinity proteomics strategy can be used to produce a proteome atlas, describing distribution and expression of proteins in normal tissues as well as in common cancers and other forms of diseased tissues.

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Year:  2003        PMID: 12796447     DOI: 10.1074/mcp.M300022-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  20 in total

1.  Analysis of protein expression in cell microarrays: a tool for antibody-based proteomics.

Authors:  Ann-Catrin Andersson; Sara Strömberg; Helena Bäckvall; Caroline Kampf; Mathias Uhlen; Kenneth Wester; Fredrik Pontén
Journal:  J Histochem Cytochem       Date:  2006-09-06       Impact factor: 2.479

2.  Prediction of antibody response using recombinant human protein fragments as antigen.

Authors:  Johan Rockberg; Mathias Uhlén
Journal:  Protein Sci       Date:  2009-11       Impact factor: 6.725

3.  Glcci1 deficiency leads to proteinuria.

Authors:  Yukino Nishibori; Kan Katayama; Mataleena Parikka; Asmundur Oddsson; Masatoshi Nukui; Kjell Hultenby; Annika Wernerson; Bing He; Lwaki Ebarasi; Elisabeth Raschperger; Jenny Norlin; Mathias Uhlén; Jaakko Patrakka; Christer Betsholtz; Karl Tryggvason
Journal:  J Am Soc Nephrol       Date:  2011-09-23       Impact factor: 10.121

4.  Toward next generation plasma profiling via heat-induced epitope retrieval and array-based assays.

Authors:  Jochen M Schwenk; Ulrika Igel; Maja Neiman; Hanno Langen; Charlotte Becker; Anders Bjartell; Fredrik Ponten; Fredrik Wiklund; Henrik Grönberg; Peter Nilsson; Mathias Uhlen
Journal:  Mol Cell Proteomics       Date:  2010-08-03       Impact factor: 5.911

5.  Antigen identification and characterization of lung cancer specific monoclonal antibodies produced by mAb proteomics.

Authors:  Dongdong Wang; Marina Hincapie; Mariana Guergova-Kuras; Janos Kadas; Laszlo Takacs; Barry L Karger
Journal:  J Proteome Res       Date:  2010-04-05       Impact factor: 4.466

6.  The RBCC gene RFP2 (Leu5) encodes a novel transmembrane E3 ubiquitin ligase involved in ERAD.

Authors:  Mikael Lerner; Martin Corcoran; Diana Cepeda; Michael L Nielsen; Roman Zubarev; Fredrik Pontén; Mathias Uhlén; Sophia Hober; Dan Grandér; Olle Sangfelt
Journal:  Mol Biol Cell       Date:  2007-02-21       Impact factor: 4.138

7.  Strong lymphoid nuclear expression of SOX11 transcription factor defines lymphoblastic neoplasms, mantle cell lymphoma and Burkitt's lymphoma.

Authors:  Michael Dictor; Sara Ek; Maria Sundberg; Janina Warenholt; Czabafy György; Sandra Sernbo; Elin Gustavsson; Waleed Abu-Alsoud; Torkel Wadström; Carl Borrebaeck
Journal:  Haematologica       Date:  2009-11       Impact factor: 9.941

8.  Differential patterns of liver proteins in experimental murine hepatosplenic schistosomiasis.

Authors:  B Manivannan; P Rawson; T W Jordan; W E Secor; A C La Flamme
Journal:  Infect Immun       Date:  2009-11-23       Impact factor: 3.441

9.  Machine learning in computational biology to accelerate high-throughput protein expression.

Authors:  Anand Sastry; Jonathan Monk; Hanna Tegel; Mathias Uhlen; Bernhard O Palsson; Johan Rockberg; Elizabeth Brunk
Journal:  Bioinformatics       Date:  2017-08-15       Impact factor: 6.937

10.  Expanded clinical and experimental use of SOX11 - using a monoclonal antibody.

Authors:  Lena Nordström; Ulrika Andréasson; Mats Jerkeman; Michael Dictor; Carl Borrebaeck; Sara Ek
Journal:  BMC Cancer       Date:  2012-06-27       Impact factor: 4.430

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