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Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps
Clinical specimens are each inherently unique, limited and non-renewable. As such, small samples such as tissue biopsies are often completely consumed after a limited number of analyses. Here we present a method that enables fast and reproducible conversion of a small amount of tissue (approximating...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390165/ https://www.ncbi.nlm.nih.gov/pubmed/25730263 http://dx.doi.org/10.1038/nm.3807 |
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author | Guo, Tiannan Kouvonen, Petri Koh, Ching Chiek Gillet, Ludovic C Wolski, Witold E Röst, Hannes L Rosenberger, George Collins, Ben C Blum, Lorenz C Gillessen, Silke Joerger, Markus Jochum, Wolfram Aebersold, Ruedi |
author_facet | Guo, Tiannan Kouvonen, Petri Koh, Ching Chiek Gillet, Ludovic C Wolski, Witold E Röst, Hannes L Rosenberger, George Collins, Ben C Blum, Lorenz C Gillessen, Silke Joerger, Markus Jochum, Wolfram Aebersold, Ruedi |
author_sort | Guo, Tiannan |
collection | PubMed |
description | Clinical specimens are each inherently unique, limited and non-renewable. As such, small samples such as tissue biopsies are often completely consumed after a limited number of analyses. Here we present a method that enables fast and reproducible conversion of a small amount of tissue (approximating the quantity obtained by a biopsy) into a single, permanent digital file representing the mass spectrometry-measurable proteome of the sample. The method combines pressure cycling technology (PCT) and SWATH mass spectrometry (MS), and the resulting proteome maps can be analyzed, re-analyzed, compared and mined in silico to detect and quantify specific proteins across multiple samples. We used this method to process and convert 18 biopsy samples from 9 renal cell carcinoma patients into SWATH-MS fragment ion maps. From these proteome maps we detected and quantified more than 2,000 proteins with a high degree of reproducibility across all samples. The identified proteins clearly separated tumorous kidney tissues from healthy tissue, and differentiated distinct histomorphological kidney cancer subtypes. |
format | Online Article Text |
id | pubmed-4390165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43901652015-10-01 Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps Guo, Tiannan Kouvonen, Petri Koh, Ching Chiek Gillet, Ludovic C Wolski, Witold E Röst, Hannes L Rosenberger, George Collins, Ben C Blum, Lorenz C Gillessen, Silke Joerger, Markus Jochum, Wolfram Aebersold, Ruedi Nat Med Article Clinical specimens are each inherently unique, limited and non-renewable. As such, small samples such as tissue biopsies are often completely consumed after a limited number of analyses. Here we present a method that enables fast and reproducible conversion of a small amount of tissue (approximating the quantity obtained by a biopsy) into a single, permanent digital file representing the mass spectrometry-measurable proteome of the sample. The method combines pressure cycling technology (PCT) and SWATH mass spectrometry (MS), and the resulting proteome maps can be analyzed, re-analyzed, compared and mined in silico to detect and quantify specific proteins across multiple samples. We used this method to process and convert 18 biopsy samples from 9 renal cell carcinoma patients into SWATH-MS fragment ion maps. From these proteome maps we detected and quantified more than 2,000 proteins with a high degree of reproducibility across all samples. The identified proteins clearly separated tumorous kidney tissues from healthy tissue, and differentiated distinct histomorphological kidney cancer subtypes. 2015-03-02 2015-04 /pmc/articles/PMC4390165/ /pubmed/25730263 http://dx.doi.org/10.1038/nm.3807 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Guo, Tiannan Kouvonen, Petri Koh, Ching Chiek Gillet, Ludovic C Wolski, Witold E Röst, Hannes L Rosenberger, George Collins, Ben C Blum, Lorenz C Gillessen, Silke Joerger, Markus Jochum, Wolfram Aebersold, Ruedi Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
title | Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
title_full | Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
title_fullStr | Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
title_full_unstemmed | Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
title_short | Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
title_sort | rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390165/ https://www.ncbi.nlm.nih.gov/pubmed/25730263 http://dx.doi.org/10.1038/nm.3807 |
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