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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...

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Autores principales: Na, Chan Hyun, Hong, Ji Hye, Kim, Wan Sup, Shanta, Selina Rahman, Bang, Joo Yong, Park, Dongmin, Kim, Hark Kyun, Kim, Kwang Pyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Molecular and Cellular Biology 2015
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.
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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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