DICP OpenIR
Separation and identification of mouse brain tissue microproteins using top-down method with high resolution nanocapillary liquid chromatography mass spectrometry
Li, Wenxue1; Petruzziello, Filomena1; Zhao, Nan2; Zhao, Huiyuan2; Ye, Xueting3; Zhang, Xiaozhe2; Rainer, Gregor1
KeywordHigh-resolution Mass Spectrometry Microproteins Mouse Brain Peptides Top Down
Source PublicationPROTEOMICS
2017-06-17
DOI10.1002/pmic.201600419
Volume17
Indexed BySCI
SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS SubjectBiochemical Research Methods ; Biochemistry & Molecular Biology
WOS Research AreaBiochemistry & Molecular Biology
WOS KeywordNEUROPEPTIDES ; PROTEOMICS ; PROTEIN ; AMIDATION ; DISCOVERY ; BDNF
AbstractMicroproteins and endogenous peptides in the brain contain important substances that have critical roles in diverse biological processes, contributing to signal transduction and intercellular signaling. However, variability in their physical or chemical characteristics, such as molecule size, hydrophobicity, and charge states, complicate the simultaneous analysis of these compounds, although this would be highly beneficial for the field of neuroscience research. Here, we present a top-down analytical method for simultaneous analysis of microproteins and endogenous peptides using high-resolution nanocapillary LC-MS/MS. This method is detergent-free and digestion-free, which allows for extracting and preserving intact microproteins and peptides for direct LC-MS analysis. Both higher energy collision dissociation and electron-transfer dissociation fragmentations were used in the LC-MS analysis to increase the identification rate, and bioinformatics tools ProteinGoggle and PEAKS Studio software were utilized for database search. In total, we identified 471 microproteins containing 736 proteoforms, including brain-derived neurotrophic factor and a number of fibroblast growth factors. In addition, we identified 599 peptides containing 151 known or potential neuropeptides such as somatostatin-28 and neuropeptide Y. Our approach bridges the gap for the characterization of brain microproteins and peptides, which permits quantification of a diversity of signaling molecules for biomarker discovery or therapy diagnosis in the future.
Language英语
WOS IDWOS:000403899900006
Citation statistics
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/152112
Collection中国科学院大连化学物理研究所
Affiliation1.Univ Fribourg, Visual Cognit Lab, Dept Med, Fribourg, Switzerland
2.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
3.Shenyang Pharmaceut Univ, Shenyang, Peoples R China
Recommended Citation
GB/T 7714
Li, Wenxue,Petruzziello, Filomena,Zhao, Nan,et al. Separation and identification of mouse brain tissue microproteins using top-down method with high resolution nanocapillary liquid chromatography mass spectrometry[J]. PROTEOMICS,2017,17.
APA Li, Wenxue.,Petruzziello, Filomena.,Zhao, Nan.,Zhao, Huiyuan.,Ye, Xueting.,...&Rainer, Gregor.(2017).Separation and identification of mouse brain tissue microproteins using top-down method with high resolution nanocapillary liquid chromatography mass spectrometry.PROTEOMICS,17.
MLA Li, Wenxue,et al."Separation and identification of mouse brain tissue microproteins using top-down method with high resolution nanocapillary liquid chromatography mass spectrometry".PROTEOMICS 17(2017).
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