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Analytical framework for peptidomics applied to large scale neuropeptide identification

ABSTRACT: Endogenous peptides are extracted and seperated with nLC with HCD fragmentation on a LTQ Orbitrap Velos. Data analysis was done with Mascot and MaxQuant

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Rattus Rattus (black Rat)

TISSUE(S): Brain

SUBMITTER: Christian Kelstrup

LAB HEAD: Jesper V. Olsen

PROVIDER: PXD002431 | Pride | 2016-05-03

REPOSITORIES: Pride

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			Action	DRS
	20100805_Velos3_AnSe_Batch12faste_hypot_S1.raw	Raw
	20100805_Velos3_AnSe_Batch12faste_hypot_S10.raw	Raw
	20100805_Velos3_AnSe_Batch12faste_hypot_S11.raw	Raw
	20100805_Velos3_AnSe_Batch12faste_hypot_S12.raw	Raw
	20100805_Velos3_AnSe_Batch12faste_hypot_S13.raw	Raw

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Publications

Analytic framework for peptidomics applied to large-scale neuropeptide identification.

Secher Anna A Kelstrup Christian D CD Conde-Frieboes Kilian W KW Pyke Charles C Raun Kirsten K Wulff Birgitte S BS Olsen Jesper V JV

Nature communications 20160504

Large-scale mass spectrometry-based peptidomics for drug discovery is relatively unexplored because of challenges in peptide degradation and identification following tissue extraction. Here we present a streamlined analytical pipeline for large-scale peptidomics. We developed an optimized sample preparation protocol to achieve fast, reproducible and effective extraction of endogenous peptides from sub-dissected organs such as the brain, while diminishing unspecific protease activity. Each peptid ...[more]

PMID: 27142507

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Analytical framework for peptidomics applied to large scale neuropeptide identification

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Analytic framework for peptidomics applied to large-scale neuropeptide identification.

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