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Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82

BACKGROUND: Tetraspanin CD82 is a tumor metastasis suppressor that is known to down regulate in various metastatic cancers. However, the exact mechanism by which CD82 prevents cancer metastasis is unclear. This study aims to identify genes that are regulated by CD82 in human prostate cell lines. MET...

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Autores principales: Dodla, Pushpaja, Bhoopalan, Vanitha, Khoo, Sok Kean, Miranti, Cindy, Sridhar, Suganthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724878/
https://www.ncbi.nlm.nih.gov/pubmed/33298014
http://dx.doi.org/10.1186/s12885-020-07675-7
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author Dodla, Pushpaja
Bhoopalan, Vanitha
Khoo, Sok Kean
Miranti, Cindy
Sridhar, Suganthi
author_facet Dodla, Pushpaja
Bhoopalan, Vanitha
Khoo, Sok Kean
Miranti, Cindy
Sridhar, Suganthi
author_sort Dodla, Pushpaja
collection PubMed
description BACKGROUND: Tetraspanin CD82 is a tumor metastasis suppressor that is known to down regulate in various metastatic cancers. However, the exact mechanism by which CD82 prevents cancer metastasis is unclear. This study aims to identify genes that are regulated by CD82 in human prostate cell lines. METHODS: We used whole human genome microarray to obtain gene expression profiles in a normal prostate epithelial cell line that expressed CD82 (PrEC-31) and a metastatic prostate cell line that does not express CD82 (PC3). Then, siRNA silencing was used to knock down CD82 expression in PrEC-31 while CD82 was re-expressed in PC3 to acquire differentially-expressed genes in the respective cell line. RESULTS: Differentially-expressed genes with a P < 0.05 were identified in 3 data sets: PrEC-31 (+CD82) vs PrEC-31(−CD82), PC3–57 (+CD82) vs. PC3-5 V (−CD82), and PC3–29 (+CD82) vs. PC3-5 V (−CD82). Top 25 gene lists did not show overlap within the data sets, except (CALB1) the calcium binding protein calbindin 1 which was significantly up-regulated (2.8 log fold change) in PrEC-31 and PC3–29 cells that expressed CD82. Other most significantly up-regulated genes included serine peptidase inhibitor kazal type 1 (SPINK1) and polypeptide N-acetyl galactosaminyl transferase 14 (GALNT14) and most down-regulated genes included C-X-C motif chemokine ligand 14 (CXCL14), urotensin 2 (UTS2D), and fibroblast growth factor 13 (FGF13). Pathways related with cell proliferation and angiogenesis, migration and invasion, cell death, cell cycle, signal transduction, and metabolism were highly enriched in cells that lack CD82 expression. Expression of two mutually inclusive genes in top 100 gene lists of all data sets, runt-related transcription factor (RUNX3) and trefoil factor 3 (TFF3), could be validated with qRT-PCR. CONCLUSION: Identification of genes and pathways regulated by CD82 in this study may provide additional insights into the role that CD82 plays in prostate tumor progression and metastasis, as well as identify potential targets for therapeutic intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-020-07675-7.
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spelling pubmed-77248782020-12-09 Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82 Dodla, Pushpaja Bhoopalan, Vanitha Khoo, Sok Kean Miranti, Cindy Sridhar, Suganthi BMC Cancer Research Article BACKGROUND: Tetraspanin CD82 is a tumor metastasis suppressor that is known to down regulate in various metastatic cancers. However, the exact mechanism by which CD82 prevents cancer metastasis is unclear. This study aims to identify genes that are regulated by CD82 in human prostate cell lines. METHODS: We used whole human genome microarray to obtain gene expression profiles in a normal prostate epithelial cell line that expressed CD82 (PrEC-31) and a metastatic prostate cell line that does not express CD82 (PC3). Then, siRNA silencing was used to knock down CD82 expression in PrEC-31 while CD82 was re-expressed in PC3 to acquire differentially-expressed genes in the respective cell line. RESULTS: Differentially-expressed genes with a P < 0.05 were identified in 3 data sets: PrEC-31 (+CD82) vs PrEC-31(−CD82), PC3–57 (+CD82) vs. PC3-5 V (−CD82), and PC3–29 (+CD82) vs. PC3-5 V (−CD82). Top 25 gene lists did not show overlap within the data sets, except (CALB1) the calcium binding protein calbindin 1 which was significantly up-regulated (2.8 log fold change) in PrEC-31 and PC3–29 cells that expressed CD82. Other most significantly up-regulated genes included serine peptidase inhibitor kazal type 1 (SPINK1) and polypeptide N-acetyl galactosaminyl transferase 14 (GALNT14) and most down-regulated genes included C-X-C motif chemokine ligand 14 (CXCL14), urotensin 2 (UTS2D), and fibroblast growth factor 13 (FGF13). Pathways related with cell proliferation and angiogenesis, migration and invasion, cell death, cell cycle, signal transduction, and metabolism were highly enriched in cells that lack CD82 expression. Expression of two mutually inclusive genes in top 100 gene lists of all data sets, runt-related transcription factor (RUNX3) and trefoil factor 3 (TFF3), could be validated with qRT-PCR. CONCLUSION: Identification of genes and pathways regulated by CD82 in this study may provide additional insights into the role that CD82 plays in prostate tumor progression and metastasis, as well as identify potential targets for therapeutic intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-020-07675-7. BioMed Central 2020-12-09 /pmc/articles/PMC7724878/ /pubmed/33298014 http://dx.doi.org/10.1186/s12885-020-07675-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Dodla, Pushpaja
Bhoopalan, Vanitha
Khoo, Sok Kean
Miranti, Cindy
Sridhar, Suganthi
Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82
title Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82
title_full Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82
title_fullStr Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82
title_full_unstemmed Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82
title_short Gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor CD82
title_sort gene expression analysis of human prostate cell lines with and without tumor metastasis suppressor cd82
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724878/
https://www.ncbi.nlm.nih.gov/pubmed/33298014
http://dx.doi.org/10.1186/s12885-020-07675-7
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