Title |
A rapid MALDI-TOF mass spectrometry workflow for Drosophila melanogaster differential neuropeptidomics
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Published in |
Molecular Brain, December 2013
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DOI | 10.1186/1756-6606-6-60 |
Pubmed ID | |
Authors |
Joseph P Salisbury, Kristin J Boggio, Yun-Wei A Hsu, Jeniffer Quijada, Anna Sivachenko, Gabriele Gloeckner, Paul J Kowalski, Michael L Easterling, Michael Rosbash, Jeffrey N Agar |
Abstract |
Neuropeptides are a diverse category of signaling molecules in the nervous system regulating a variety of processes including food intake, social behavior, circadian rhythms, learning, and memory. Both the identification and functional characterization of specific neuropeptides are ongoing fields of research. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) analysis of nervous tissues from a variety of organisms allows direct detection and identification of neuropeptides. Here, we demonstrate an analysis workflow that allows for the detection of differences in specific neuropeptides amongst a variety of neuropeptides being simultaneously measured. For sample preparation, we describe a straight-forward and rapid (minutes) method where individual adult Drosophila melanogaster brains are analyzed. Using a MATLAB-based data analysis workflow, also compatible with MALDI-TOF mass spectra obtained from other sample preparations and instrumentation, we demonstrate how changes in neuropeptides levels can be detected with this method. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 4% |
Austria | 1 | 2% |
Israel | 1 | 2% |
Canada | 1 | 2% |
United States | 1 | 2% |
Unknown | 43 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 22% |
Researcher | 10 | 20% |
Student > Master | 7 | 14% |
Student > Doctoral Student | 3 | 6% |
Student > Bachelor | 3 | 6% |
Other | 11 | 22% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 35% |
Biochemistry, Genetics and Molecular Biology | 7 | 14% |
Neuroscience | 7 | 14% |
Engineering | 3 | 6% |
Computer Science | 2 | 4% |
Other | 4 | 8% |
Unknown | 9 | 18% |