| Chapter title |
CSF N-Glycomics Using MALDI MS Techniques in Alzheimer’s Disease
|
|---|---|
| Chapter number | 5 |
| Book title |
Biomarkers for Alzheimer’s Disease Drug Development
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7704-8_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7703-1, 978-1-4939-7704-8
|
| Authors |
Angelo Palmigiano, Angela Messina, Rosaria Ornella Bua, Rita Barone, Luisa Sturiale, Mario Zappia, Domenico Garozzo, Palmigiano, Angelo, Messina, Angela, Bua, Rosaria Ornella, Barone, Rita, Sturiale, Luisa, Zappia, Mario, Garozzo, Domenico |
| Abstract |
In this chapter, we present the methodology currently applied in our laboratory for the structural elucidation of the cerebrospinal fluid (CSF) N-glycome. N-glycans are released from denatured carboxymethylated glycoproteins by digestion with peptide-N-glycosidase F (PNGase F) and purified using both C18 Sep-Pak® and porous graphitized carbon (PGC) HyperSep™ Hypercarb™ solid-phase extraction (SPE) cartridges. The glycan pool is subsequently permethylated to increase mass spectrometry sensitivity. Molecular assignments are performed through matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF MS) analysis considering either the protein N-linked glycosylation pathway or MALDI TOF MS/MS data. Each stage has been optimized to obtain high-quality mass spectra in reflector mode with an optimal signal-to-noise ratio up to m/z 4800. This method has been successfully adopted to associate specific N-glycome profiles to the early and the advanced phases of Alzheimer's disease. |
X Demographics
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| Unknown | 1 | 100% |
Demographic breakdown
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Mendeley readers
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|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Student > Master | 3 | 17% |
| Professor | 2 | 11% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
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|---|---|---|
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| Immunology and Microbiology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 7 | 39% |