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Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology
Non-Hodgkin’s lymphoma comprises many related but distinct diseases and diagnosis and classification is complex. Protein profiling of lymphoma biopsies may be of potential value for use in this lymphoma classification and the discovery of novel markers. In this study, we have optimized a method for...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618966/ https://www.ncbi.nlm.nih.gov/pubmed/18219108 http://dx.doi.org/10.1155/2008/898356 |
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author | Jansen, Corine Hebeda, Konnie M. Linkels, Marianne Grefte, Johanna M. M. Raemaekers, John M. M. van Krieken, Johan H. J. M. Groenen, Patricia J. T. A. |
author_facet | Jansen, Corine Hebeda, Konnie M. Linkels, Marianne Grefte, Johanna M. M. Raemaekers, John M. M. van Krieken, Johan H. J. M. Groenen, Patricia J. T. A. |
author_sort | Jansen, Corine |
collection | PubMed |
description | Non-Hodgkin’s lymphoma comprises many related but distinct diseases and diagnosis and classification is complex. Protein profiling of lymphoma biopsies may be of potential value for use in this lymphoma classification and the discovery of novel markers. In this study, we have optimized a method for SELDI-TOF MS based protein profiling of frozen tissue sections, without dissection of tumour cells. First we have compared chip surfaces and lysis buffers. Also, we have determined the minimal input using laser dissection microscopy. Subsequently, we have analyzed and compared protein profiles of diffuse large B-cell lymphoma (n=8), follicular lymphoma (n=8) and mantle cell lymphoma (n=8). Benign, reactive lymph nodes (n=14) were used as a reference group. CM10 chip surface in combination with urea lysis buffer and an input of approximately 50,000 lymphocytes allowed the detection of many differential peaks. Identification of the diffuse large B-cell lymphoma cases was reliably made in the supervised classification. Unsupervised clustering showed segregation into a benign/indolent cluster predominantly formed by benign, reactive lymph nodes and follicular lymphoma cases and into a more aggressive cluster formed by diffuse large B-cell lymphoma and mantle cell lymphoma cases. In conclusion, our protocol enables protein profiling of protein lysates derived from small histological samples and the subsequent detection of many differentially expressed proteins, without the need of tumour cell dissection. These results support further evaluation of protein profiling of small lymphoma biopsies as an additional tool in pathology. |
format | Online Article Text |
id | pubmed-4618966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46189662016-01-12 Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology Jansen, Corine Hebeda, Konnie M. Linkels, Marianne Grefte, Johanna M. M. Raemaekers, John M. M. van Krieken, Johan H. J. M. Groenen, Patricia J. T. A. Cell Oncol Other Non-Hodgkin’s lymphoma comprises many related but distinct diseases and diagnosis and classification is complex. Protein profiling of lymphoma biopsies may be of potential value for use in this lymphoma classification and the discovery of novel markers. In this study, we have optimized a method for SELDI-TOF MS based protein profiling of frozen tissue sections, without dissection of tumour cells. First we have compared chip surfaces and lysis buffers. Also, we have determined the minimal input using laser dissection microscopy. Subsequently, we have analyzed and compared protein profiles of diffuse large B-cell lymphoma (n=8), follicular lymphoma (n=8) and mantle cell lymphoma (n=8). Benign, reactive lymph nodes (n=14) were used as a reference group. CM10 chip surface in combination with urea lysis buffer and an input of approximately 50,000 lymphocytes allowed the detection of many differential peaks. Identification of the diffuse large B-cell lymphoma cases was reliably made in the supervised classification. Unsupervised clustering showed segregation into a benign/indolent cluster predominantly formed by benign, reactive lymph nodes and follicular lymphoma cases and into a more aggressive cluster formed by diffuse large B-cell lymphoma and mantle cell lymphoma cases. In conclusion, our protocol enables protein profiling of protein lysates derived from small histological samples and the subsequent detection of many differentially expressed proteins, without the need of tumour cell dissection. These results support further evaluation of protein profiling of small lymphoma biopsies as an additional tool in pathology. IOS Press 2008 2008-01-24 /pmc/articles/PMC4618966/ /pubmed/18219108 http://dx.doi.org/10.1155/2008/898356 Text en Copyright © 2008 Hindawi Publishing Corporation and the authors. |
spellingShingle | Other Jansen, Corine Hebeda, Konnie M. Linkels, Marianne Grefte, Johanna M. M. Raemaekers, John M. M. van Krieken, Johan H. J. M. Groenen, Patricia J. T. A. Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology |
title | Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology |
title_full | Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology |
title_fullStr | Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology |
title_full_unstemmed | Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology |
title_short | Protein Profiling of B-Cell Lymphomas Using Tissue Biopsies: A Potential Tool for Small Samples in Pathology |
title_sort | protein profiling of b-cell lymphomas using tissue biopsies: a potential tool for small samples in pathology |
topic | Other |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618966/ https://www.ncbi.nlm.nih.gov/pubmed/18219108 http://dx.doi.org/10.1155/2008/898356 |
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