机构地区:[1]State Key Laboratory of Infectious Disease Prevention and Control,National Institute for Communicable Disease Control and Prevention,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,Chinese Center for Disease Control and Prevention [2]Department of Clinical Laboratory,Daqing Oilfield General Hospital [3]Department of Clinical Laboratory,Shanxi Province Chinese Medicine Hospital [4]Department of Medical Laboratory,Beijing Hospital
出 处:《Biomedical and Environmental Sciences》2018年第1期48-56,共9页生物医学与环境科学(英文版)
基 金:supported by the Mega Project of Research on the Prevention and Control of HIV/AIDS,Viral Hepatitis Infectious Diseases 2011ZX10004-001,2013ZX10004-101 to YE Chang Yun
摘 要:Objective To establish a domestic database of Enterobacteria cloacae (E. cloacae), and improve the identification efficiency using peptide mass fingerprinting. Methods Peptide mass fingerprinting was used for the identification and subtyping of E. cloacae. Eighty-seven strains, identified based on hsp60 genotyping, were used to construct and evaluate a new reference database. Results Compared with the original reference database, the identification efficiency and accuracy of the new reference database was greatly improved at the species level. The first super reference database for E. cloacae identification was also constructed and evaluated. Based on the super reference database and the main spectra projection dendrogram, E. cloacae strains were divided into two clades. Conclusion Peptide mass fingerprinting is a powerful method to identify and subtype E. cloacae, and the use of this method will allow us to obtain more information to understand the heterogeneous organism E. cloacae.Objective To establish a domestic database of Enterobacteria cloacae (E. cloacae), and improve the identification efficiency using peptide mass fingerprinting. Methods Peptide mass fingerprinting was used for the identification and subtyping of E. cloacae. Eighty-seven strains, identified based on hsp60 genotyping, were used to construct and evaluate a new reference database. Results Compared with the original reference database, the identification efficiency and accuracy of the new reference database was greatly improved at the species level. The first super reference database for E. cloacae identification was also constructed and evaluated. Based on the super reference database and the main spectra projection dendrogram, E. cloacae strains were divided into two clades. Conclusion Peptide mass fingerprinting is a powerful method to identify and subtype E. cloacae, and the use of this method will allow us to obtain more information to understand the heterogeneous organism E. cloacae.
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