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PMID: 17960271 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Mass spectrometric imaging of peptide release from neuronal cells within microfluidic devices.

Lab on a chip ·Vol. 7 ·No. 11 ·2007-11-00 ·Pages 1454-60

Jo K, Heien ML, Thompson LB, Zhong M, Nuzzo RG, Sweedler JV

Abstract

Microfluidic devices are well suited for manipulating and measuring mass limited samples. Here we adapt a microfluidic device containing functionalized surfaces to chemically stimulate a small number of neurons (down to a single neuron), collect the release of neuropeptides, and characterize them using mass spectrometry. As only a small fraction of the peptides present in a neuron are released with physiologically relevant stimulations, the amount of material available for measurement is small, thereby requiring minimal sample loss and high-sensitivity detection. Although a number of detection schemes are used with microfluidic devices, mass spectrometric detection is used here because of its high information content, allowing the characterization of the released peptide complement. Rather than using an on-line approach, off-line analysis is used; after collection of the peptides onto a surface, mass spectrometric imaging interrogates that surface to determine the peptides released from the cell. The overall utility of this scheme is demonstrated using several device formats with measurement of neuropeptides released from Aplysia californica bag cell neurons.

MeSH Terms
Animals Aplysia Mass Spectrometry/methods Microfluidics/instrumentation Neurons/metabolism Peptides/metabolism
Chemicals
Peptides
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Jo Kyubong
Department of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign, 405 N. Mathew Avenue, Urbana, Illinois 61801, USA.
Heien Michael L
Thompson Lucas B
Zhong Ming
Nuzzo Ralph G
Sweedler Jonathan V
Article Info
Journal
Lab on a chip
Abbr.
Lab Chip
ISSN
1473-0197
Published
2007-11-00
Epub
2007-00-15
Pages
1454-60
Language
English
Region
England
NLM ID
101128948
Subset
IM
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