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Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry
Since the emergence of proteomics methods, many proteins specific for renal cell carcinoma (RCC) have been identified. Despite their usefulness for the specific diagnosis of RCC, such proteins do not provide spatial information on the diseased tissue. Therefore, the identification of cancer-specific...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Molecular and Cellular Biology
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507028/ https://www.ncbi.nlm.nih.gov/pubmed/26062552 http://dx.doi.org/10.14348/molcells.2015.0013 |
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author | Na, Chan Hyun Hong, Ji Hye Kim, Wan Sup Shanta, Selina Rahman Bang, Joo Yong Park, Dongmin Kim, Hark Kyun Kim, Kwang Pyo |
author_facet | Na, Chan Hyun Hong, Ji Hye Kim, Wan Sup Shanta, Selina Rahman Bang, Joo Yong Park, Dongmin Kim, Hark Kyun Kim, Kwang Pyo |
author_sort | Na, Chan Hyun |
collection | PubMed |
description | Since the emergence of proteomics methods, many proteins specific for renal cell carcinoma (RCC) have been identified. Despite their usefulness for the specific diagnosis of RCC, such proteins do not provide spatial information on the diseased tissue. Therefore, the identification of cancer-specific proteins that include information on their specific location is needed. Recently, matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) based imaging mass spectrometry (IMS) has emerged as a new tool for the analysis of spatial distribution as well as identification of either proteins or small molecules in tissues. In this report, surgical tissue sections of papillary RCC were analyzed using MALDI-IMS. Statistical analysis revealed several discriminative cancer-specific m/z-species between normal and diseased tissues. Among these m/z-species, two particular proteins, S100A11 and ferritin light chain, which are specific for papillary RCC cancer regions, were successfully identified using LC-MS/MS following protein extraction from independent RCC samples. The expressions of S100A11 and ferritin light chain were further validated by immunohistochemistry of human tissues and tissue microarrays (TMAs) of RCC. In conclusion, MALDI-IMS followed by LC-MS/MS analysis in human tissue identified that S100A11 and ferritin light chain are differentially expressed proteins in papillary RCC cancer regions. |
format | Online Article Text |
id | pubmed-4507028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Korean Society for Molecular and Cellular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-45070282015-07-24 Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry Na, Chan Hyun Hong, Ji Hye Kim, Wan Sup Shanta, Selina Rahman Bang, Joo Yong Park, Dongmin Kim, Hark Kyun Kim, Kwang Pyo Mol Cells Article Since the emergence of proteomics methods, many proteins specific for renal cell carcinoma (RCC) have been identified. Despite their usefulness for the specific diagnosis of RCC, such proteins do not provide spatial information on the diseased tissue. Therefore, the identification of cancer-specific proteins that include information on their specific location is needed. Recently, matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) based imaging mass spectrometry (IMS) has emerged as a new tool for the analysis of spatial distribution as well as identification of either proteins or small molecules in tissues. In this report, surgical tissue sections of papillary RCC were analyzed using MALDI-IMS. Statistical analysis revealed several discriminative cancer-specific m/z-species between normal and diseased tissues. Among these m/z-species, two particular proteins, S100A11 and ferritin light chain, which are specific for papillary RCC cancer regions, were successfully identified using LC-MS/MS following protein extraction from independent RCC samples. The expressions of S100A11 and ferritin light chain were further validated by immunohistochemistry of human tissues and tissue microarrays (TMAs) of RCC. In conclusion, MALDI-IMS followed by LC-MS/MS analysis in human tissue identified that S100A11 and ferritin light chain are differentially expressed proteins in papillary RCC cancer regions. Korean Society for Molecular and Cellular Biology 2015-07-31 2015-06-10 /pmc/articles/PMC4507028/ /pubmed/26062552 http://dx.doi.org/10.14348/molcells.2015.0013 Text en © The Korean Society for Molecular and Cellular Biology. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/. |
spellingShingle | Article Na, Chan Hyun Hong, Ji Hye Kim, Wan Sup Shanta, Selina Rahman Bang, Joo Yong Park, Dongmin Kim, Hark Kyun Kim, Kwang Pyo Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry |
title | Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry |
title_full | Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry |
title_fullStr | Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry |
title_full_unstemmed | Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry |
title_short | Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry |
title_sort | identification of protein markers specific for papillary renal cell carcinoma using imaging mass spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507028/ https://www.ncbi.nlm.nih.gov/pubmed/26062552 http://dx.doi.org/10.14348/molcells.2015.0013 |
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