Identification of differentially expressed proteins using automated meta-analysis of proteomic articles
作者： E. A. Ponomarenko , A. V. Lisitsa , J. Petrak , S. A. Moshkovskii , A. I. Archakov
DOI: 10.1134/S1990750809010028
关键词: Identification (biology) 、 Cathepsin D 、 Bioinformatics 、 Computational biology 、 Vimentin 、 Meta-analysis 、 Proteomics 、 HSP60 、 Triosephosphate isomerase 、 Biology 、 UniProt
摘要: An automated method for searching differentially expressed proteins (DEP) in proteomic articles has been developed and tested. Full-text proteomics-related were selected using an electronic version of the journal Proteomics PubMedCentral. The list most frequently mentioned shares 86% identity with human identified DEPs published recently (Petrak et al., (2008) 8, 1744). Regardless goal or design methods identification DEP delivers annexins peroxiredoxins, as well alpha-enolase, triosephosphate isomerase, heat-shock protein HSP60. Among often also serum albumin, cathepsin D vimentin. In regard to function involved inflammation immune response. According GenRIF UniProtKB annotations, these are linked pathogenesis tumor diseases, diseases cardiovascular nervous systems.
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