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Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS)
In carcinoma tissues, genetic and metabolic changes not only occur at the tumor cell level, but also in the surrounding stroma. This carcinoma-reactive stromal tissue is heterogeneous and consists e.g. of non-epithelial cells such as fibroblasts or fibrocytes, inflammatory cells and vasculature-rela...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826342/ https://www.ncbi.nlm.nih.gov/pubmed/20205871 http://dx.doi.org/10.1186/1746-1596-5-10 |
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author | Escher, Niko Ernst, Günther Melle, Christian Berndt, Alexander Clement, Joachim H Junker, Kerstin Friedrich, Karlheinz Guntinas-Lichius, Orlando von Eggeling, Ferdinand |
author_facet | Escher, Niko Ernst, Günther Melle, Christian Berndt, Alexander Clement, Joachim H Junker, Kerstin Friedrich, Karlheinz Guntinas-Lichius, Orlando von Eggeling, Ferdinand |
author_sort | Escher, Niko |
collection | PubMed |
description | In carcinoma tissues, genetic and metabolic changes not only occur at the tumor cell level, but also in the surrounding stroma. This carcinoma-reactive stromal tissue is heterogeneous and consists e.g. of non-epithelial cells such as fibroblasts or fibrocytes, inflammatory cells and vasculature-related cells, which promote carcinoma growth and progression of carcinomas. Nevertheless, there is just little knowledge about the proteomic changes from normal connective tissue to tumor stroma. In the present study, we acquired and analysed specific protein patterns of small stromal sections surrounding head and neck cell complexes in comparison to normal subepithelial connective tissue. To gain defined stromal areas we used laser-based tissue microdissection. Because these stromal areas are limited in size we established the highly sensitive 'tissue on chip based mass spectrometry' (toc-MS). Therefore, the dissected areas were directly transferred to chromatographic arrays and the proteomic profiles were subsequently analysed with mass spectrometry. At least 100 cells were needed for an adequate spectrum. The locating of differentially expressed proteins enables a precise separation of normal and tumor stroma. The newly described toc-MS technology allows an initial insight into proteomic differences between small numbers of exactly defined cells from normal and tumor stroma. |
format | Text |
id | pubmed-2826342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28263422010-02-23 Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) Escher, Niko Ernst, Günther Melle, Christian Berndt, Alexander Clement, Joachim H Junker, Kerstin Friedrich, Karlheinz Guntinas-Lichius, Orlando von Eggeling, Ferdinand Diagn Pathol Short Report In carcinoma tissues, genetic and metabolic changes not only occur at the tumor cell level, but also in the surrounding stroma. This carcinoma-reactive stromal tissue is heterogeneous and consists e.g. of non-epithelial cells such as fibroblasts or fibrocytes, inflammatory cells and vasculature-related cells, which promote carcinoma growth and progression of carcinomas. Nevertheless, there is just little knowledge about the proteomic changes from normal connective tissue to tumor stroma. In the present study, we acquired and analysed specific protein patterns of small stromal sections surrounding head and neck cell complexes in comparison to normal subepithelial connective tissue. To gain defined stromal areas we used laser-based tissue microdissection. Because these stromal areas are limited in size we established the highly sensitive 'tissue on chip based mass spectrometry' (toc-MS). Therefore, the dissected areas were directly transferred to chromatographic arrays and the proteomic profiles were subsequently analysed with mass spectrometry. At least 100 cells were needed for an adequate spectrum. The locating of differentially expressed proteins enables a precise separation of normal and tumor stroma. The newly described toc-MS technology allows an initial insight into proteomic differences between small numbers of exactly defined cells from normal and tumor stroma. BioMed Central 2010-01-28 /pmc/articles/PMC2826342/ /pubmed/20205871 http://dx.doi.org/10.1186/1746-1596-5-10 Text en Copyright ©2010 Escher et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Report Escher, Niko Ernst, Günther Melle, Christian Berndt, Alexander Clement, Joachim H Junker, Kerstin Friedrich, Karlheinz Guntinas-Lichius, Orlando von Eggeling, Ferdinand Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) |
title | Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) |
title_full | Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) |
title_fullStr | Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) |
title_full_unstemmed | Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) |
title_short | Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) |
title_sort | comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-ms) |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826342/ https://www.ncbi.nlm.nih.gov/pubmed/20205871 http://dx.doi.org/10.1186/1746-1596-5-10 |
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