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Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis
BACKGROUND: The aim of this study was to identify the key differentially expressed genes (DEGs) and high-risk gene mutations in breast ductal carcinoma in situ (DCIS). METHODS: Raw data (GSE36863) were downloaded from the database of Gene Expression Omnibus (GEO), including three DCIS samples (DCIS...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063758/ https://www.ncbi.nlm.nih.gov/pubmed/32156290 http://dx.doi.org/10.1186/s12957-020-01820-z |
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author | Zhu, Congyuan Hu, Hao Li, Jianping Wang, Jingli Wang, Ke Sun, Jingqiu |
author_facet | Zhu, Congyuan Hu, Hao Li, Jianping Wang, Jingli Wang, Ke Sun, Jingqiu |
author_sort | Zhu, Congyuan |
collection | PubMed |
description | BACKGROUND: The aim of this study was to identify the key differentially expressed genes (DEGs) and high-risk gene mutations in breast ductal carcinoma in situ (DCIS). METHODS: Raw data (GSE36863) were downloaded from the database of Gene Expression Omnibus (GEO), including three DCIS samples (DCIS cell lines MCF10.DCIS, Sum102, and Sum225) and one normal control sample (normal mammary epithelial cell line MCF10A). The DEGs were analyzed using NOIseq and annotated via DAVID. Motif scanning in the promoter region of DEGs was performed via SeqPos. Additionally, single nucleotide variations (SNVs) were identified via GenomeAnalysisTK and SNV risk was assessed via VarioWatch. Mutant genes with a high frequency and risk were validated by RT-PCR analyses. RESULTS: Finally, 5391, 7073, and 7944 DEGs were identified in DCIS, Sum102, and Sum22 cell lines, respectively, when compared with MCF10A. VENN analysis of the three cell lines revealed 603 upregulated and 1043 downregulated DEGs, including 16 upregulated and 36 downregulated transcription factor (TF) genes. In addition, six TFs each (e.g., E2F1 and CREB1) were found to regulate the core up- and downregulated DEGs, respectively. Furthermore, SNV detection results revealed 1104 (MCF10.DCIS), 2833 (Sum102), and 1132 (Sum22) mutation sites. Four mutant genes (RWDD4, SDHC, SEPT7, and SFN) with high frequency and risk were identified. The results of RT-PCR analysis as well as bioinformatics analysis consistently demonstrated that the expression of RWDD4, SDHC, SEPT7, and SFN was downregulated in the tumor tissues as compared with that in adjacent non-tumor tissues. CONCLUSIONS: The differentially expressed TFs, TFs regulating DEGs (e.g., E2F1 and CREB1), and high-frequency mutant genes (RWDD4, SDHC, SEPT7, and SFN) might play key roles in the pathogenesis of DCIS. |
format | Online Article Text |
id | pubmed-7063758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70637582020-03-13 Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis Zhu, Congyuan Hu, Hao Li, Jianping Wang, Jingli Wang, Ke Sun, Jingqiu World J Surg Oncol Research BACKGROUND: The aim of this study was to identify the key differentially expressed genes (DEGs) and high-risk gene mutations in breast ductal carcinoma in situ (DCIS). METHODS: Raw data (GSE36863) were downloaded from the database of Gene Expression Omnibus (GEO), including three DCIS samples (DCIS cell lines MCF10.DCIS, Sum102, and Sum225) and one normal control sample (normal mammary epithelial cell line MCF10A). The DEGs were analyzed using NOIseq and annotated via DAVID. Motif scanning in the promoter region of DEGs was performed via SeqPos. Additionally, single nucleotide variations (SNVs) were identified via GenomeAnalysisTK and SNV risk was assessed via VarioWatch. Mutant genes with a high frequency and risk were validated by RT-PCR analyses. RESULTS: Finally, 5391, 7073, and 7944 DEGs were identified in DCIS, Sum102, and Sum22 cell lines, respectively, when compared with MCF10A. VENN analysis of the three cell lines revealed 603 upregulated and 1043 downregulated DEGs, including 16 upregulated and 36 downregulated transcription factor (TF) genes. In addition, six TFs each (e.g., E2F1 and CREB1) were found to regulate the core up- and downregulated DEGs, respectively. Furthermore, SNV detection results revealed 1104 (MCF10.DCIS), 2833 (Sum102), and 1132 (Sum22) mutation sites. Four mutant genes (RWDD4, SDHC, SEPT7, and SFN) with high frequency and risk were identified. The results of RT-PCR analysis as well as bioinformatics analysis consistently demonstrated that the expression of RWDD4, SDHC, SEPT7, and SFN was downregulated in the tumor tissues as compared with that in adjacent non-tumor tissues. CONCLUSIONS: The differentially expressed TFs, TFs regulating DEGs (e.g., E2F1 and CREB1), and high-frequency mutant genes (RWDD4, SDHC, SEPT7, and SFN) might play key roles in the pathogenesis of DCIS. BioMed Central 2020-03-10 /pmc/articles/PMC7063758/ /pubmed/32156290 http://dx.doi.org/10.1186/s12957-020-01820-z 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 Zhu, Congyuan Hu, Hao Li, Jianping Wang, Jingli Wang, Ke Sun, Jingqiu Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis |
title | Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis |
title_full | Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis |
title_fullStr | Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis |
title_full_unstemmed | Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis |
title_short | Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis |
title_sort | identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using rna-seq analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063758/ https://www.ncbi.nlm.nih.gov/pubmed/32156290 http://dx.doi.org/10.1186/s12957-020-01820-z |
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