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Peptidome analysis of cerebrospinal fluid by LC-MALDI MS.

Hölttä M, Zetterberg H, Mirgorodskaya E, Mattsson N, Blennow K, Gobom J - PLoS ONE (2012)

Bottom Line: 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 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.

View Article: PubMed Central - PubMed

Affiliation: Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.

ABSTRACT
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.

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Comparison of the peptides identified in the current study to other published peptidomic and proteomic data.Only 23% of the peptides identified in the current study were part of the peptide set reported by Zougman et al.[14]. Comparison of the proteins represented by the endogenous peptides identified in the current study and in the study by Zougman et al. with the proteins identified in the CSF proteomic analysis by Schutzer et al.[7] (b) reveals that both peptide sets have a high degree overlap with the proteomic set.
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pone-0042555-g004: Comparison of the peptides identified in the current study to other published peptidomic and proteomic data.Only 23% of the peptides identified in the current study were part of the peptide set reported by Zougman et al.[14]. Comparison of the proteins represented by the endogenous peptides identified in the current study and in the study by Zougman et al. with the proteins identified in the CSF proteomic analysis by Schutzer et al.[7] (b) reveals that both peptide sets have a high degree overlap with the proteomic set.

Mentions: Comparing the peptides identified in our study to those identified in the study by Zougman et al.[14], one of the most comprehensive CSF peptidomic studies to date, showed that only 23% of the peptides identified in our study were present in the other data set (Figure 4 a). The large difference between the data sets may be attributed to the different ionization techniques used in the two studies (MALDI vs. ESI), to differences in the method used for preparation of the peptide extracts, and that different CSF samples were analyzed.


Peptidome analysis of cerebrospinal fluid by LC-MALDI MS.

Hölttä M, Zetterberg H, Mirgorodskaya E, Mattsson N, Blennow K, Gobom J - PLoS ONE (2012)

Comparison of the peptides identified in the current study to other published peptidomic and proteomic data.Only 23% of the peptides identified in the current study were part of the peptide set reported by Zougman et al.[14]. Comparison of the proteins represented by the endogenous peptides identified in the current study and in the study by Zougman et al. with the proteins identified in the CSF proteomic analysis by Schutzer et al.[7] (b) reveals that both peptide sets have a high degree overlap with the proteomic set.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3412831&req=5

pone-0042555-g004: Comparison of the peptides identified in the current study to other published peptidomic and proteomic data.Only 23% of the peptides identified in the current study were part of the peptide set reported by Zougman et al.[14]. Comparison of the proteins represented by the endogenous peptides identified in the current study and in the study by Zougman et al. with the proteins identified in the CSF proteomic analysis by Schutzer et al.[7] (b) reveals that both peptide sets have a high degree overlap with the proteomic set.
Mentions: Comparing the peptides identified in our study to those identified in the study by Zougman et al.[14], one of the most comprehensive CSF peptidomic studies to date, showed that only 23% of the peptides identified in our study were present in the other data set (Figure 4 a). The large difference between the data sets may be attributed to the different ionization techniques used in the two studies (MALDI vs. ESI), to differences in the method used for preparation of the peptide extracts, and that different CSF samples were analyzed.

Bottom Line: 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 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.

View Article: PubMed Central - PubMed

Affiliation: Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus