Peptidomics for the discovery and characterization of neuropeptides and hormones

Highlights • Alternative splicing and post-translational processing challenge neuropeptide prediction. • MS sequences and quantifies neuropeptides directly in tissues and cells. • Synergy of MS, genomics, and bioinformatics drives neuropeptide discovery.

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Bibliographic Details
Published in:Trends in pharmacological sciences (Regular ed.) 2015-09, Vol.36 (9), p.579-586
Main Authors: Romanova, Elena V, Sweedler, Jonathan V
Format: Article
Language:English
Subjects:
Advanced Basic Science
Animals
bioinformatics
endogenous peptides
Hormones - chemistry
Hormones - metabolism
Humans
mass spectrometry
nervous system
Neuropeptides - chemistry
Neuropeptides - metabolism
Proteome - chemistry
Proteome - metabolism
Proteomics - methods
quantitation
sequencing
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Description
Summary:Highlights • Alternative splicing and post-translational processing challenge neuropeptide prediction. • MS sequences and quantifies neuropeptides directly in tissues and cells. • Synergy of MS, genomics, and bioinformatics drives neuropeptide discovery.
ISSN:0165-6147
1873-3735
DOI:10.1016/j.tips.2015.05.009