title: The need to revisit published data: A concept and framework for complementary proteomics.
abstract: Tandem proteomic strategies based on large-scale and high-resolution mass spectrometry have been widely applied in various biomedical studies. However, protein sequence databases and proteomic software are continuously updated. Proteomic studies should not be ended with a stable list of proteins. It is necessary and beneficial to regularly revise the results. Besides, the original proteomic studies usually focused on a limited aspect of protein information and valuable information may remain undiscovered in the raw spectra. Several studies have reported novel findings by reanalyzing previously published raw data. However, there are still no standard guidelines for comprehensive reanalysis. In the present study, we proposed the concept and draft framework for complementary proteomics, which are aimed to revise protein list or mine new discoveries by revisiting published data.
authors.affiliation: State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, P. R. China.
authors.forename: Tao
authors.initials: T
authors.lastname: Zhou
authors.affiliation: State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, P. R. China.
authors.forename: Jiahao
authors.initials: J
authors.lastname: Sha
authors.affiliation: State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, P. R. China.
authors.forename: Xuejiang
authors.initials: X
authors.lastname: Guo
mesh_terms: D000818:Animals; D030562:Databases, Protein; D006801:Humans; D011506:Proteins / Q000032:analysis; D040901:Proteomics / Q000379:methods*; D012984:Software; D053719:Tandem Mass Spectrometry / Q000379:methods
chemical_list: D011506:Proteins
keywords: Bioinformatics; Complementary proteomics; Framework; Protein sequence; Proteomic software; Reanalysis