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Göteborgs universitets publikationer

High identification rates of endogenous neuropeptides from mouse brain.

Författare och institution:
Xiaozhe Zhang (-); Filomena Petruzziello (-); Fabio Zani (-); Laetitia Fouillen (-); Per E. Andren (-); Giovanni Solinas (Institutionen för medicin, avdelningen för molekylär och klinisk medicin); Gregor Rainer (-)
Publicerad i:
Journal of Proteome Research, 11 s. 2819 − 2827
Artikel, refereegranskad vetenskaplig
Sammanfattning (abstract):
Mass spectrometry-based neuropeptidomics is one of the most powerful approaches for identification of endogenous neuro- peptides in the brain. Until now, however, the identification rate of neuropeptides in neuropeptidomics is relatively low and this severely restricts insights into their biological function. In the present study, we developed a high accuracy mass spectrometry-based approach to enhance the identification rates of neuropeptides from brain tissue. Our integrated approach used mixing on column for loading aqueous and organic extracts to reduce the loss of peptides during sample treatment and used charge state-directed tandem mass spectrometry to increase the number of peptides subjected to high mass accuracy fragmentation. This approach allowed 206 peptides on average to be identified from a single mouse brain sample that was prepared using 15 μL of solutions per 1 mg of tissue. In total, we identified more than 500 endogenous peptides from mouse hypothalamus and whole brain samples. Our identification rate is about two to four times higher compared to previously reported studies conducted on mice or other species. The hydrophobic peptides, such as neuropeptide Y and galanin, could be presented and detected with hydrophilic peptides in the same LC-MS run, allowing a high coverage of peptide characterization over an organism. This will advance our understanding of the roles of diverse peptides and their links in the brain functions.
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2016-09-13 15:43

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