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Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum
BACKGROUND: Unlike humans, there is currently no publicly available reference mass spectrometry-based circulating acellular proteome data for sheep, limiting the analysis and interpretation of a range of physiological changes and disease states. The objective of this study was to develop a robust an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466729/ https://www.ncbi.nlm.nih.gov/pubmed/28615994 http://dx.doi.org/10.1186/s12953-017-0119-z |
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author | Chemonges, Saul Gupta, Rajesh Mills, Paul C. Kopp, Steven R. Sadowski, Pawel |
author_facet | Chemonges, Saul Gupta, Rajesh Mills, Paul C. Kopp, Steven R. Sadowski, Pawel |
author_sort | Chemonges, Saul |
collection | PubMed |
description | BACKGROUND: Unlike humans, there is currently no publicly available reference mass spectrometry-based circulating acellular proteome data for sheep, limiting the analysis and interpretation of a range of physiological changes and disease states. The objective of this study was to develop a robust and comprehensive method to characterise the circulating acellular proteome in ovine serum. METHODS: Serum samples from healthy sheep were subjected to shotgun proteomic analysis using nano liquid chromatography nano electrospray ionisation tandem mass spectrometry (nanoLC-nanoESI-MS/MS) on a quadrupole time-of-flight instrument (TripleTOF® 5600+, SCIEX). Proteins were identified using ProteinPilot™ (SCIEX) and Mascot (Matrix Science) software based on a minimum of two unmodified highly scoring unique peptides per protein at a false discovery rate (FDR) of 1% software by searching a subset of the Universal Protein Resource Knowledgebase (UniProtKB) database (http://www.uniprot.org). PeptideShaker (CompOmics, VIB-UGent) searches were used to validate protein identifications from ProteinPilot™ and Mascot. RESULTS: ProteinPilot™ and Mascot identified 245 and 379 protein groups (IDs), respectively, and PeptideShaker validated 133 protein IDs from the entire dataset. Since Mascot software is considered the industry standard and identified the most proteins, these were analysed using the Protein ANalysis THrough Evolutionary Relationships (PANTHER) classification tool revealing the association of 349 genes with 127 protein pathway hits. These data are available via ProteomeXchange with identifier PXD004989. CONCLUSIONS: These results demonstrated for the first time the feasibility of characterising the ovine circulating acellular proteome using nanoLC-nanoESI-MS/MS. This peptide spectral data contributes to a protein library that can be used to identify a wide range of proteins in ovine serum. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12953-017-0119-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5466729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54667292017-06-14 Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum Chemonges, Saul Gupta, Rajesh Mills, Paul C. Kopp, Steven R. Sadowski, Pawel Proteome Sci Research BACKGROUND: Unlike humans, there is currently no publicly available reference mass spectrometry-based circulating acellular proteome data for sheep, limiting the analysis and interpretation of a range of physiological changes and disease states. The objective of this study was to develop a robust and comprehensive method to characterise the circulating acellular proteome in ovine serum. METHODS: Serum samples from healthy sheep were subjected to shotgun proteomic analysis using nano liquid chromatography nano electrospray ionisation tandem mass spectrometry (nanoLC-nanoESI-MS/MS) on a quadrupole time-of-flight instrument (TripleTOF® 5600+, SCIEX). Proteins were identified using ProteinPilot™ (SCIEX) and Mascot (Matrix Science) software based on a minimum of two unmodified highly scoring unique peptides per protein at a false discovery rate (FDR) of 1% software by searching a subset of the Universal Protein Resource Knowledgebase (UniProtKB) database (http://www.uniprot.org). PeptideShaker (CompOmics, VIB-UGent) searches were used to validate protein identifications from ProteinPilot™ and Mascot. RESULTS: ProteinPilot™ and Mascot identified 245 and 379 protein groups (IDs), respectively, and PeptideShaker validated 133 protein IDs from the entire dataset. Since Mascot software is considered the industry standard and identified the most proteins, these were analysed using the Protein ANalysis THrough Evolutionary Relationships (PANTHER) classification tool revealing the association of 349 genes with 127 protein pathway hits. These data are available via ProteomeXchange with identifier PXD004989. CONCLUSIONS: These results demonstrated for the first time the feasibility of characterising the ovine circulating acellular proteome using nanoLC-nanoESI-MS/MS. This peptide spectral data contributes to a protein library that can be used to identify a wide range of proteins in ovine serum. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12953-017-0119-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-10 /pmc/articles/PMC5466729/ /pubmed/28615994 http://dx.doi.org/10.1186/s12953-017-0119-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Chemonges, Saul Gupta, Rajesh Mills, Paul C. Kopp, Steven R. Sadowski, Pawel Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum |
title | Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum |
title_full | Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum |
title_fullStr | Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum |
title_full_unstemmed | Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum |
title_short | Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum |
title_sort | characterisation of the circulating acellular proteome of healthy sheep using lc-ms/ms-based proteomics analysis of serum |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466729/ https://www.ncbi.nlm.nih.gov/pubmed/28615994 http://dx.doi.org/10.1186/s12953-017-0119-z |
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