| Literature DB >> 27089233 |
Şule Yılmaz1,2,3, Bjorn Victor4, Niels Hulstaert1,2,3, Elien Vandermarliere1,2,3, Harald Barsnes5, Sven Degroeve1,2,3, Surya Gupta1,2,3, Adriaan Sticker1,2,3,6, Sarah Gabriël4, Pierre Dorny4, Magnus Palmblad7, Lennart Martens1,2,3.
Abstract
Shotgun proteomics experiments often take the form of a differential analysis, where two or more samples are compared against each other. The objective is to identify proteins that are either unique to a specific sample or a set of samples (qualitative differential proteomics), or that are significantly differentially expressed in one or more samples (quantitative differential proteomics). However, the success depends on the availability of a reliable protein sequence database for each sample. To perform such an analysis in the absence of a database, we here propose a novel, generic pipeline comprising an adapted spectral similarity score derived from database search algorithms that compares samples at the spectrum level to detect unique spectra. We applied our pipeline to compare two parasitic tapeworms: Taenia solium and Taenia hydatigena, of which only the former poses a threat to humans. Furthermore, because the genome of T. solium recently became available, we were able to prove the effectiveness and reliability of our pipeline a posteriori.Entities:
Keywords: differential proteomics; mass spectrometry; unique spectrum; unsequenced species
Mesh:
Year: 2016 PMID: 27089233 DOI: 10.1021/acs.jproteome.6b00140
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466