| Literature DB >> 16127175 |
Mathias Uhlén1, Erik Björling, Charlotta Agaton, Cristina Al-Khalili Szigyarto, Bahram Amini, Elisabet Andersen, Ann-Catrin Andersson, Pia Angelidou, Anna Asplund, Caroline Asplund, Lisa Berglund, Kristina Bergström, Harry Brumer, Dijana Cerjan, Marica Ekström, Adila Elobeid, Cecilia Eriksson, Linn Fagerberg, Ronny Falk, Jenny Fall, Mattias Forsberg, Marcus Gry Björklund, Kristoffer Gumbel, Asif Halimi, Inga Hallin, Carl Hamsten, Marianne Hansson, My Hedhammar, Görel Hercules, Caroline Kampf, Karin Larsson, Mats Lindskog, Wald Lodewyckx, Jan Lund, Joakim Lundeberg, Kristina Magnusson, Erik Malm, Peter Nilsson, Jenny Odling, Per Oksvold, Ingmarie Olsson, Emma Oster, Jenny Ottosson, Linda Paavilainen, Anja Persson, Rebecca Rimini, Johan Rockberg, Marcus Runeson, Asa Sivertsson, Anna Sköllermo, Johanna Steen, Maria Stenvall, Fredrik Sterky, Sara Strömberg, Mårten Sundberg, Hanna Tegel, Samuel Tourle, Eva Wahlund, Annelie Waldén, Jinghong Wan, Henrik Wernérus, Joakim Westberg, Kenneth Wester, Ulla Wrethagen, Lan Lan Xu, Sophia Hober, Fredrik Pontén.
Abstract
Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We used this strategy to construct a comprehensive, antibody-based protein atlas for expression and localization profiles in 48 normal human tissues and 20 different cancers. Here we report a new publicly available database containing, in the first version, approximately 400,000 high resolution images corresponding to more than 700 antibodies toward human proteins. Each image has been annotated by a certified pathologist to provide a knowledge base for functional studies and to allow queries about protein profiles in normal and disease tissues. Our results suggest it should be possible to extend this analysis to the majority of all human proteins thus providing a valuable tool for medical and biological research.Entities:
Mesh:
Substances:
Year: 2005 PMID: 16127175 DOI: 10.1074/mcp.M500279-MCP200
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911