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SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics
The human blood proteome is frequently assessed by protein abundance profiling using a combination of liquid chromatography and tandem mass spectrometry (LC-MS/MS). In traditional sequence database search, many good-quality MS/MS data remain unassigned. Here we uncover the hidden part of the blood p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294601/ https://www.ncbi.nlm.nih.gov/pubmed/28167817 http://dx.doi.org/10.1038/srep41929 |
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author | Lundström, Susanna L. Zhang, Bo Rutishauser, Dorothea Aarsland, Dag Zubarev, Roman A. |
author_facet | Lundström, Susanna L. Zhang, Bo Rutishauser, Dorothea Aarsland, Dag Zubarev, Roman A. |
author_sort | Lundström, Susanna L. |
collection | PubMed |
description | The human blood proteome is frequently assessed by protein abundance profiling using a combination of liquid chromatography and tandem mass spectrometry (LC-MS/MS). In traditional sequence database search, many good-quality MS/MS data remain unassigned. Here we uncover the hidden part of the blood proteome via novel SpotLight approach. This method combines de novo MS/MS sequencing of enriched antibodies and co-extracted proteins with subsequent label-free quantification of new and known peptides in both enriched and unfractionated samples. In a pilot study on differentiating early stages of Alzheimer’s disease (AD) from Dementia with Lewy Bodies (DLB), on peptide level the hidden proteome contributed almost as much information to patient stratification as the apparent proteome. Intriguingly, many of the new peptide sequences are attributable to antibody variable regions, and are potentially indicative of disease etiology. When the hidden and apparent proteomes are combined, the accuracy of differentiating AD (n = 97) and DLB (n = 47) increased from ≈85% to ≈95%. The low added burden of SpotLight proteome analysis makes it attractive for use in clinical settings. |
format | Online Article Text |
id | pubmed-5294601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52946012017-02-10 SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics Lundström, Susanna L. Zhang, Bo Rutishauser, Dorothea Aarsland, Dag Zubarev, Roman A. Sci Rep Article The human blood proteome is frequently assessed by protein abundance profiling using a combination of liquid chromatography and tandem mass spectrometry (LC-MS/MS). In traditional sequence database search, many good-quality MS/MS data remain unassigned. Here we uncover the hidden part of the blood proteome via novel SpotLight approach. This method combines de novo MS/MS sequencing of enriched antibodies and co-extracted proteins with subsequent label-free quantification of new and known peptides in both enriched and unfractionated samples. In a pilot study on differentiating early stages of Alzheimer’s disease (AD) from Dementia with Lewy Bodies (DLB), on peptide level the hidden proteome contributed almost as much information to patient stratification as the apparent proteome. Intriguingly, many of the new peptide sequences are attributable to antibody variable regions, and are potentially indicative of disease etiology. When the hidden and apparent proteomes are combined, the accuracy of differentiating AD (n = 97) and DLB (n = 47) increased from ≈85% to ≈95%. The low added burden of SpotLight proteome analysis makes it attractive for use in clinical settings. Nature Publishing Group 2017-02-07 /pmc/articles/PMC5294601/ /pubmed/28167817 http://dx.doi.org/10.1038/srep41929 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lundström, Susanna L. Zhang, Bo Rutishauser, Dorothea Aarsland, Dag Zubarev, Roman A. SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
title | SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
title_full | SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
title_fullStr | SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
title_full_unstemmed | SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
title_short | SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
title_sort | spotlight proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294601/ https://www.ncbi.nlm.nih.gov/pubmed/28167817 http://dx.doi.org/10.1038/srep41929 |
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