Analysis of the rat hypothalamus proteome by data‐independent label‐free LC‐MS/MS |
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| Authors: | Viktoria Stelzhammer Bob Amess Daniel Martins‐de‐Souza Yishai Levin Susan E. Ozanne Malgorzata S. Martin‐Gronert Sebastian Urday Sabine Bahn Paul C. Guest |
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| Affiliation: | 1. Department of Chemical Engineering and Biotechnology, University of Cambridge, , Cambridge, UK;2. Max Planck Institute of Psychiatry, , Munich, Germany;3. Weizmann Institute of Science, , Rehovot, Israel;4. Institute of Metabolic Science, University of Cambridge, , Cambridge, UK;5. Department of Neuroscience, Erasmus MC, , Rotterdam, The Netherlands |
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| Abstract: | Studies of neuronal, endocrine, and metabolic disorders would be facilitated by characterization of the hypothalamus proteome. Protein extracts prepared from 16 whole rat hypothalami were measured by data‐independent label‐free nano LC‐MS/MS. Peptide features were detected, aligned, and searched against a rat Swiss‐Prot database using ProteinLynx Global Server v.2.5. The final combined dataset comprised 21 455 peptides, corresponding to 622 unique proteins, each identified by a minimum of two distinct peptides. The majority of the proteins (69%) were cytosolic, and 16% were membrane proteins. Important proteins involved in neurological and synaptic function were identified including several members of the Ras‐related protein family and proteins involved in glutamate biosynthesis. |
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| Keywords: | Animal proteomics Hypothalamus MS Protein biomarker Proteomics methods |
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