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Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS
We report on the analysis of endogenous peptides in cerebrospinal fluid (CSF) by mass spectrometry. A method was developed for preparation of peptide extracts from CSF. Analysis of the extracts by offline LC-MALDI MS resulted in the detection of 3,000–4,000 peptide-like features. Out of these, 730 p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412831/ https://www.ncbi.nlm.nih.gov/pubmed/22880031 http://dx.doi.org/10.1371/journal.pone.0042555 |
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author | Hölttä, Mikko Zetterberg, Henrik Mirgorodskaya, Ekaterina Mattsson, Niklas Blennow, Kaj Gobom, Johan |
author_facet | Hölttä, Mikko Zetterberg, Henrik Mirgorodskaya, Ekaterina Mattsson, Niklas Blennow, Kaj Gobom, Johan |
author_sort | Hölttä, Mikko |
collection | PubMed |
description | We report on the analysis of endogenous peptides in cerebrospinal fluid (CSF) by mass spectrometry. A method was developed for preparation of peptide extracts from CSF. Analysis of the extracts by offline LC-MALDI MS resulted in the detection of 3,000–4,000 peptide-like features. Out of these, 730 peptides were identified by MS/MS. The majority of these peptides have not been previously reported in CSF. The identified peptides were found to originate from 104 proteins, of which several have been reported to be involved in different disorders of the central nervous system. These results support the notion that CSF peptidomics may be viable complement to proteomics in the search of biomarkers of CNS disorders. |
format | Online Article Text |
id | pubmed-3412831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34128312012-08-09 Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS Hölttä, Mikko Zetterberg, Henrik Mirgorodskaya, Ekaterina Mattsson, Niklas Blennow, Kaj Gobom, Johan PLoS One Research Article We report on the analysis of endogenous peptides in cerebrospinal fluid (CSF) by mass spectrometry. A method was developed for preparation of peptide extracts from CSF. Analysis of the extracts by offline LC-MALDI MS resulted in the detection of 3,000–4,000 peptide-like features. Out of these, 730 peptides were identified by MS/MS. The majority of these peptides have not been previously reported in CSF. The identified peptides were found to originate from 104 proteins, of which several have been reported to be involved in different disorders of the central nervous system. These results support the notion that CSF peptidomics may be viable complement to proteomics in the search of biomarkers of CNS disorders. Public Library of Science 2012-08-06 /pmc/articles/PMC3412831/ /pubmed/22880031 http://dx.doi.org/10.1371/journal.pone.0042555 Text en © 2012 Hölttä et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hölttä, Mikko Zetterberg, Henrik Mirgorodskaya, Ekaterina Mattsson, Niklas Blennow, Kaj Gobom, Johan Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS |
title | Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS |
title_full | Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS |
title_fullStr | Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS |
title_full_unstemmed | Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS |
title_short | Peptidome Analysis of Cerebrospinal Fluid by LC-MALDI MS |
title_sort | peptidome analysis of cerebrospinal fluid by lc-maldi ms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412831/ https://www.ncbi.nlm.nih.gov/pubmed/22880031 http://dx.doi.org/10.1371/journal.pone.0042555 |
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