Proteomics relies on protein identification by matching of peptide mass spectra against known protein sequences. Transcriptome sequence analysis (RNA-Seq) promises an unbiased and comprehensive picture of the transcriptome and sample-specific protein database derived from RNA-Seq data can better approximate the real protein pool in the sample and thus improve protein identification. In this study, customized protein sequence database of colorectal cancer cell lines was used for detection of novel peptide variants. Wang, X. et al. Protein identification using customized protein sequence databases derived from RNA-Seq data. J. Proteome Res. 11, 1009–17 (2012).
http://pubs.acs.org/doi/abs/10.1021/pr200766z
Dear Colleagues, Zdeněk Tůma will present the above provided talk about latest development in research of development t in protein sequence databases. Everybody is welcomed to come. We are looking forward to your participation.
Organizers: J. Kroc, l. Vistejnova and P. Klein
About JC:
The goals of Journal Club are manifold. Primarily, it serves as a forum where every member of our biomedical center can present the latest results from his field and specialization in a way that is accessible to her/his colleagues. The first language of JC’s is English. Additionally, it serves as a place to present results from own research and to train presentations. We would like to stimulate discussion across multiple scientific fields in order to reach wider and deeper insight of contemporary development of science. Researchers from outside of the center are welcomed to participate and/or to present their own topics. Please, do not hesitate to come or to contact us.