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Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics
Compound Kushen Injection (CKI) has been clinically used in China for over 15 years to treat various types of solid tumours. However, because such Traditional Chinese Medicine (TCM) preparations are complex mixtures of plant secondary metabolites, it is essential to explore their underlying molecula...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323210/ https://www.ncbi.nlm.nih.gov/pubmed/27602759 http://dx.doi.org/10.18632/oncotarget.11788 |
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author | Qu, Zhipeng Cui, Jian Harata-Lee, Yuka Aung, Thazin Nwe Feng, Qianjin Raison, Joy M. Kortschak, Robert Daniel Adelson, David L. |
author_facet | Qu, Zhipeng Cui, Jian Harata-Lee, Yuka Aung, Thazin Nwe Feng, Qianjin Raison, Joy M. Kortschak, Robert Daniel Adelson, David L. |
author_sort | Qu, Zhipeng |
collection | PubMed |
description | Compound Kushen Injection (CKI) has been clinically used in China for over 15 years to treat various types of solid tumours. However, because such Traditional Chinese Medicine (TCM) preparations are complex mixtures of plant secondary metabolites, it is essential to explore their underlying molecular mechanisms in a systematic fashion. We have used the MCF-7 human breast cancer cell line as an initial in vitro model to identify CKI induced changes in gene expression. Cells were treated with CKI for 24 and 48 hours at two concentrations (1 and 2 mg/mL total alkaloids), and the effect of CKI on cell proliferation and apoptosis were measured using XTT and Annexin V/Propidium Iodide staining assays respectively. Transcriptome data of cells treated with CKI or 5-Fluorouracil (5-FU) for 24 and 48 hours were subsequently acquired using high-throughput Illumina RNA-seq technology. In this report we show that CKI inhibited MCF-7 cell proliferation and induced apoptosis in a dose-dependent fashion. We integrated and applied a series of transcriptome analysis methods, including gene differential expression analysis, pathway over-representation analysis, de novo identification of long non-coding RNAs (lncRNA) as well as co-expression network reconstruction, to identify candidate anti-cancer molecular mechanisms of CKI. Multiple pathways were perturbed and the cell cycle was identified as the potential primary target pathway of CKI in MCF-7 cells. CKI may also induce apoptosis in MCF-7 cells via a p53 independent mechanism. In addition, we identified novel lncRNAs and showed that many of them might be expressed as a response to CKI treatment. |
format | Online Article Text |
id | pubmed-5323210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53232102017-03-23 Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics Qu, Zhipeng Cui, Jian Harata-Lee, Yuka Aung, Thazin Nwe Feng, Qianjin Raison, Joy M. Kortschak, Robert Daniel Adelson, David L. Oncotarget Research Paper Compound Kushen Injection (CKI) has been clinically used in China for over 15 years to treat various types of solid tumours. However, because such Traditional Chinese Medicine (TCM) preparations are complex mixtures of plant secondary metabolites, it is essential to explore their underlying molecular mechanisms in a systematic fashion. We have used the MCF-7 human breast cancer cell line as an initial in vitro model to identify CKI induced changes in gene expression. Cells were treated with CKI for 24 and 48 hours at two concentrations (1 and 2 mg/mL total alkaloids), and the effect of CKI on cell proliferation and apoptosis were measured using XTT and Annexin V/Propidium Iodide staining assays respectively. Transcriptome data of cells treated with CKI or 5-Fluorouracil (5-FU) for 24 and 48 hours were subsequently acquired using high-throughput Illumina RNA-seq technology. In this report we show that CKI inhibited MCF-7 cell proliferation and induced apoptosis in a dose-dependent fashion. We integrated and applied a series of transcriptome analysis methods, including gene differential expression analysis, pathway over-representation analysis, de novo identification of long non-coding RNAs (lncRNA) as well as co-expression network reconstruction, to identify candidate anti-cancer molecular mechanisms of CKI. Multiple pathways were perturbed and the cell cycle was identified as the potential primary target pathway of CKI in MCF-7 cells. CKI may also induce apoptosis in MCF-7 cells via a p53 independent mechanism. In addition, we identified novel lncRNAs and showed that many of them might be expressed as a response to CKI treatment. Impact Journals LLC 2016-09-01 /pmc/articles/PMC5323210/ /pubmed/27602759 http://dx.doi.org/10.18632/oncotarget.11788 Text en Copyright: © 2016 Qu et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Qu, Zhipeng Cui, Jian Harata-Lee, Yuka Aung, Thazin Nwe Feng, Qianjin Raison, Joy M. Kortschak, Robert Daniel Adelson, David L. Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics |
title | Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics |
title_full | Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics |
title_fullStr | Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics |
title_full_unstemmed | Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics |
title_short | Identification of candidate anti-cancer molecular mechanisms of Compound Kushen Injection using functional genomics |
title_sort | identification of candidate anti-cancer molecular mechanisms of compound kushen injection using functional genomics |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323210/ https://www.ncbi.nlm.nih.gov/pubmed/27602759 http://dx.doi.org/10.18632/oncotarget.11788 |
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