| Title |
Integration of microRNA–mRNA profiles and pathway analysis of plant isoquinoline alkaloid berberine in SGC-7901 gastric cancers cells
|
|---|---|
| Published in |
Drug Design, Development and Therapy, February 2018
|
| DOI | 10.2147/dddt.s155993 |
| Pubmed ID | |
| Authors |
Yanhong Yang, Na Zhang, Kundong Li, Juan Chen, Lang Qiu, Jufeng Zhang |
| Abstract |
Berberine (BBR) is a traditional Chinese medicine normally used for gastroenteritis, and recent research found that it could fight against tumors. In this study, we focused on integrating miRNA sequencing and RNA sequencing of SGC-7901 gastric cancer cells treated by BBR to elucidate their underlying mechanisms. WST-1 assay and flow cytometry were used to check the effects of BBR on SGC-7901. miRNA sequencing and RNA sequencing were used to establish the miRNA and mRNA profiles of BBR-treated SGC-7901. The results showed that BBR could inhibit the proliferation of SGC-7901 cells and induce G1 arrest in cell cycle phase and apoptosis. A total of 1,960 upregulated genes and 4,837 downregulated genes were identified in the RNA sequencing and 347 upregulated and 93 downregulated miRNAs in the miRNA sequencing. A total of 78 novel miRNAs were also found. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis showed that the genes were related to pathways in cancer and metabolism. We also analyzed the miRNA-mRNA network of genes grouped into cell cycle, apoptosis, inflammation, metabolism, cell junction, acetylization process, TGF-β pathway, and Wnt signaling pathway. BBR could inhibit the proliferation of SGC-7901 cells and induce apoptosis. Integrated analysis of microRNA-mRNA profiles is a promising approach to validate gene expression patterns associated with malignant phenotype and study the mechanisms of anticancer. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 55% |
| Student > Postgraduate | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Earth and Planetary Sciences | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2018.
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#20,663,600
of 25,382,440 outputs
Outputs from Drug Design, Development and Therapy
#1,436
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Outputs of similar age
#343,060
of 448,849 outputs
Outputs of similar age from Drug Design, Development and Therapy
#32
of 42 outputs
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