A new strategy for identifying mechanisms of drug-drug interaction using transcriptome analysis: Compound Kushen injection as a proof of principle
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PROVIDER: PRJNA539875 | ENA |
REPOSITORIES: ENA
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Project description:Drug-drug interactions (DDIs), especially with herbal medicines, are complex, making it difficult to identify potential molecular mechanisms and targets. We introduce a workflow to carry out DDI research using transcriptome analysis and interactions of a complex herbal mixture, Compound Kushen Injection (CKI), with cancer chemotherapy drugs, as a proof of principle. Using CKI combined with doxorubicin or 5-Fu on cancer cells as a model, we found that CKI enhanced the cytotoxic effects of doxorubicin on A431 cells while protecting MDA-MB-231 cells treated with 5-Fu. We generated and analysed transcriptome data from cells treated with single treatments or combined treatments and our analysis showed that opposite directions of regulation for pathways related to DNA synthesis and metabolism appeared to be the main reason for different effects of CKI when used in combination with chemotherapy drugs . We also found that pathways related to organic biosynthetic and metabolic processes might be potential targets for CKI when interacting with doxorubicin and 5-Fu. Through co-expression analysis correlated with phenotype results, we selected the MYD88 gene as a candidate major regulator for validation as a proof of concept for our approach. Inhibition of MYD88 reduced antagonistic cytotoxic effects between CKI and 5-Fu, indicating that MYD88 is an important gene in the DDI mechanism between CKI and chemotherapy drugs. These findings demonstrate that our pipeline is effective for the application of transcriptome analysis to the study of DDIs in order to identify candidate mechanisms and potential targets.
2019-08-20 | GSE130359 | GEO
Project description:Herbal compatibility is the knowledge of which herbs to combine in traditional Chinese medicine (TCM) formulations. The lack of understanding of herbal compatibility is one of the key problems for the application and popularization of TCM in western society. Because of the chemical complexity of herbal medicines, it is simpler to begin to conduct compatibility research based on herbs rather than component plant secondary metabolites. We have used transcriptome analysis to explore the effects and interactions of two plant extracts (Kushen and Baituling) combined in Compound Kushen Injection (CKI). Based on shared chemical compounds and in vitro cytotoxicity comparisons, we found that both the major compounds in CKI, and the cytotoxicity effects of CKI were mainly derived from the extract of Kushen (Sophorae flavescentis). We generated and analyzed transcriptome data from MDA-MB-231 cells treated with single-herb extracts or CKI and results showed that Kushen contributed to the perturbation of the majority of cytotoxicity/cancer related pathways in CKI such as cell cycle and DNA replication. We also found that Baituling (Heterosmilax yunnanensis Gagnep) could not only enhance the cytotoxic effects of Kushen in CKI, but also activate immune-related pathways. Our analyses predicted that IL-1[beta] gene expression was upregulated by Baituling in CKI and we confirmed that IL-1[beta] protein expression was increased using an ELISA assay. Altogether, these findings help to explain the rationale for combining Kushen and Baituling in CKI, and show that transcriptome analysis using single herb extracts is an effective method for understanding herbal compatibility in TCM.
2019-08-20 | GSE130358 | GEO
Project description:Drug-drug interactions (DDIs), especially with herbal medicines, are complex, making it difficult to identify potential molecular mechanisms and targets. We introduce a workflow to carry out DDI research using transcriptome analysis and interactions of a complex herbal mixture, Compound Kushen Injection (CKI), with cancer chemotherapy drugs, as a proof of principle. Using CKI combined with doxorubicin or 5-Fu on cancer cells as a model, we found that CKI enhanced the cytotoxic effects of doxorubicin on A431 cells while protecting MDA-MB-231 cells treated with 5-Fu. We generated and analysed transcriptome data from cells treated with single treatments or combined treatments and our analysis showed that opposite directions of regulation for pathways related to DNA synthesis and metabolism which appeared to be the main reason for different effects of CKI when used in combination with chemotherapy drugs. We also found that pathways related to organic biosynthetic and metabolic processes might be potential targets for CKI when interacting with doxorubicin and 5-Fu. Through co-expression analysis correlated with phenotype results, we selected the MYD88 gene as a candidate major regulator for validation as a proof of concept for our approach. Inhibition of MYD88 reduced antagonistic cytotoxic effects between CKI and 5-Fu, indicating that MYD88 is an important gene in the DDI mechanism between CKI and chemotherapy drugs. These findings demonstrate that our pipeline is effective for the application of transcriptome analysis to the study of DDIs in order to identify candidate mechanisms and potential targets.
| S-EPMC6828681 | biostudies-literature
Project description:Compound Kushen Injection (CKI) has been used in clinics for nearly 20 years to treat different kinds of cancers. In this study, we found that CKI inhibited gefitinib resistant cell line proliferation, reduced drug resistance and improved anti-cancer effects when associated with gefitinib in a dose-dependent fashion. We also identified candidate CKI associated molecular mechanisms that might reduce drug resistance using transcriptome analysis methods, including gene differential expression analysis and pathway over-representation analysis. Multiple pathways were perturbed and the PI3K/AKT/MTOR and autophagy pathways were identified as the potential primary target pathways of CKI in this context. We also investigated the molecular mechanisms of another TCM, Yifei-Sanjie Wan (YFSJ) on reducing gefitinib resistance using transcriptome analysis.
2022-01-15 | GSE125933 | GEO
Project description:To clarify the effectiveness and safety of compound kushen injection in the treatment of advanced colorectal cancer.
| 62736 | ecrin-mdr-crc
Project description:The complete genome sequence of the P. vivax Sal-1 strain allowed the design of a first version array representing 1 oligo/2 kb of coding sequences (http://zblab.sbs.ntu.edu.sg/vivax/index.html). Here, proof-of-principle experiments using total RNA of parasites obtained from the Sal-1 strain, from P. falciparum and from parasites obtained directly from two human patients are presented. To determine the extent of cross-hybridization of P. falciparum with P. vivax, and to determine overlaps in expression profiles of the P. vivax Sal1 monkey-adapted strain vs wild isolates, single dual hybridization analyses were performed.
2008-04-12 | E-GEOD-11075 | biostudies-arrayexpress
Project description:Pre-clinical proof of principle for orally delivered Th17 antagonist miniproteins
| PRJNA1096346 | ENA
Project description:The complete genome sequence of the P. vivax Sal-1 strain allowed the design of a first version array representing 1 oligo/2 kb of coding sequences (http://zblab.sbs.ntu.edu.sg/vivax/index.html). Here, proof-of-principle experiments using total RNA of parasites obtained from the Sal-1 strain, from P. falciparum and from parasites obtained directly from two human patients are presented. Keywords: expression profiles
2008-04-12 | GSE11075 | GEO
Project 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 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 (1.0 and 2.0 mg/mL), and 5-Fluorouracil (5-FU) was used to treat cells as a positive control. Cell proliferation and apoptosis activity were measured with XTT and Caspase-3 assays respectively. Transcriptome data of cells treated with CKI or 5-FU for 24 and 48 hours were 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. Overall, we have comprehensively investigated the utility of transcriptome analysis with high-throughput sequencing to characterise the molecular response of cancer cells to a TCM drug, and provided a practical guideline for future molecular studies of TCM.
2016-09-14 | GSE78512 | GEO
Project description:P. vivax: proof-of-principle global transcription analysis from two wild isolates
| PRJNA107065 | ENA