Analysis of the rat hypothalamus proteome by data-independent label-free LC-MS/MS

Viktoria Stelzhammer; Bob Amess; Daniel Martins-de-Souza; Yishai Levin; Susan E. Ozanne; Malgorzata S. Martin-Gronert; Sebastian Urday; Sabine Bahn; Paul C. Guest

doi:10.1002/pmic.201100642

Analysis of the rat hypothalamus proteome by data-independent label-free LC-MS/MS

Viktoria Stelzhammer, Bob Amess, Daniel Martins-de-Souza, Yishai Levin, Susan E. Ozanne, Malgorzata S. Martin-Gronert, Sebastian Urday, Sabine Bahn, Paul C. Guest^*

^*Corresponding author for this work

Neurology

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

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.

Original language	English (US)
Pages (from-to)	3386-3392
Number of pages	7
Journal	Proteomics
Volume	12
Issue number	22
DOIs	https://doi.org/10.1002/pmic.201100642
State	Published - Nov 2012

Keywords

Animal proteomics
Hypothalamus
MS
Protein biomarker
Proteomics methods

ASJC Scopus subject areas

Biochemistry
Molecular Biology

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10.1002/pmic.201100642

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AU - Stelzhammer, Viktoria

AU - Amess, Bob

AU - Martins-de-Souza, Daniel

AU - Levin, Yishai

AU - Ozanne, Susan E.

AU - Martin-Gronert, Malgorzata S.

AU - Urday, Sebastian

AU - Bahn, Sabine

AU - Guest, Paul C.

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AB - 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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KW - MS

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KW - Proteomics methods

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Analysis of the rat hypothalamus proteome by data-independent label-free LC-MS/MS

Abstract

Keywords

ASJC Scopus subject areas

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