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Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State
Cells of the immune system undergo activation and subsequent proliferation in the normal course of an immune response. Infrequently, the molecular and cellular events that underlie the mechanisms of proliferation are dysregulated and may lead to oncogenesis, leading to tumor formation. The most comm...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4955975/ https://www.ncbi.nlm.nih.gov/pubmed/27478369 http://dx.doi.org/10.4137/BBI.S30523 |
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author | Daly, Julie-Anne Mortlock, Sally-Anne Taylor, Rosanne M. Williamson, Peter |
author_facet | Daly, Julie-Anne Mortlock, Sally-Anne Taylor, Rosanne M. Williamson, Peter |
author_sort | Daly, Julie-Anne |
collection | PubMed |
description | Cells of the immune system undergo activation and subsequent proliferation in the normal course of an immune response. Infrequently, the molecular and cellular events that underlie the mechanisms of proliferation are dysregulated and may lead to oncogenesis, leading to tumor formation. The most common forms of immunological cancers are lymphomas, which in dogs account for 8%–20% of all cancers, affecting up to 1.2% of the dog population. Key genes involved in negatively regulating proliferation of lymphocytes include a group classified as tumor suppressor genes (TSGs). These genes are also known to be associated with progression of lymphoma in humans, mice, and dogs and are potential candidates for pathological grading and diagnosis. The aim of the present study was to analyze TSG profiles in stimulated leukocytes from dogs to identify genes that discriminate an activated phenotype. A total of 554 TSGs and three gene set collections were analyzed from microarray data. Cluster analysis of three subsets of genes discriminated between stimulated and unstimulated cells. These included 20 most upregulated and downregulated TSGs, TSG in hallmark gene sets significantly enriched in active cells, and a selection of candidate TSGs, p15 (CDKN2B), p18 (CDKN2C), p19 (CDKN1A), p21 (CDKN2A), p27 (CDKN1B), and p53 (TP53) in the third set. Analysis of two subsets suggested that these genes or a subset of these genes may be used as a specialized PCR set for additional analysis. |
format | Online Article Text |
id | pubmed-4955975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-49559752016-07-29 Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State Daly, Julie-Anne Mortlock, Sally-Anne Taylor, Rosanne M. Williamson, Peter Bioinform Biol Insights Original Research Cells of the immune system undergo activation and subsequent proliferation in the normal course of an immune response. Infrequently, the molecular and cellular events that underlie the mechanisms of proliferation are dysregulated and may lead to oncogenesis, leading to tumor formation. The most common forms of immunological cancers are lymphomas, which in dogs account for 8%–20% of all cancers, affecting up to 1.2% of the dog population. Key genes involved in negatively regulating proliferation of lymphocytes include a group classified as tumor suppressor genes (TSGs). These genes are also known to be associated with progression of lymphoma in humans, mice, and dogs and are potential candidates for pathological grading and diagnosis. The aim of the present study was to analyze TSG profiles in stimulated leukocytes from dogs to identify genes that discriminate an activated phenotype. A total of 554 TSGs and three gene set collections were analyzed from microarray data. Cluster analysis of three subsets of genes discriminated between stimulated and unstimulated cells. These included 20 most upregulated and downregulated TSGs, TSG in hallmark gene sets significantly enriched in active cells, and a selection of candidate TSGs, p15 (CDKN2B), p18 (CDKN2C), p19 (CDKN1A), p21 (CDKN2A), p27 (CDKN1B), and p53 (TP53) in the third set. Analysis of two subsets suggested that these genes or a subset of these genes may be used as a specialized PCR set for additional analysis. Libertas Academica 2016-07-19 /pmc/articles/PMC4955975/ /pubmed/27478369 http://dx.doi.org/10.4137/BBI.S30523 Text en © 2015 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License. |
spellingShingle | Original Research Daly, Julie-Anne Mortlock, Sally-Anne Taylor, Rosanne M. Williamson, Peter Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State |
title | Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State |
title_full | Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State |
title_fullStr | Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State |
title_full_unstemmed | Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State |
title_short | Cluster Analysis of Tumor Suppressor Genes in Canine Leukocytes Identifies Activation State |
title_sort | cluster analysis of tumor suppressor genes in canine leukocytes identifies activation state |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4955975/ https://www.ncbi.nlm.nih.gov/pubmed/27478369 http://dx.doi.org/10.4137/BBI.S30523 |
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