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An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
Published on: May 21, 2019
microRNA and gene networks in human pancreatic cancer
Minghui Zhu1, Zhiwen Xu, Kunhao Wang
1College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, P.R. China ; Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
Abstract:
To date, scientists have obtained a substantial amount of knowledge with regard to genes and microRNAs (miRNAs) in pancreatic cancer (PC). However, deciphering the regulatory mechanism of these genes and miRNAs remains difficult. In the present study, three regulatory networks consisting of a differentially-expressed network, a related network and a global network, were constructed in order to identify the mechanisms and certain key miRNA and gene pathways in PC. The interactions between transcription factors (TFs) and miRNAs, miRNAs and target genes and an miRNA and its host gene were investigated. The present study compared and analyzed the similarities and differences between the three networks in order to distinguish the key pathways. Certain pathways involving the differentially-expressed genes and miRNAs demonstrated specific features. TP53 and hsa-miR-125b were observed to form a self-adaptation association. A further 16 significant differentially-expressed miRNAs were obtained and it was observed that an miRNA and its host gene exhibit specific features in PC, for example, hsa-miR-196a-1 and its host gene, HOXB7, form a self-adaptation association. The differentially-expressed network partially illuminated the mechanism of PC. The present study provides comprehensive data that is associated with PC and may aid future studies in obtaining pertinent data results with regards to PC. In the future, an improved understanding of PC may be obtained through an increased knowledge of the occurrence, mechanism, improvement, metastasis and treatment of the disease.
Insights
Scientists constructed three regulatory networks to uncover key gene and microRNA (miRNA) pathways in pancreatic cancer (PC). They identified specific self-adapting associations, like TP53 and hsa-miR-125b, offering insights into PC mechanisms.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Significant knowledge exists regarding genes and microRNAs (miRNAs) in pancreatic cancer (PC).
- Deciphering the complex regulatory mechanisms of these genes and miRNAs in PC remains challenging.
Purpose of the Study:
- To construct and analyze three regulatory networks (differentially-expressed, related, global) to identify key miRNA and gene pathways in PC.
- To investigate interactions between transcription factors (TFs), miRNAs, target genes, and miRNA host genes.
- To compare network similarities and differences to distinguish crucial pathways in PC.
Main Methods:
- Construction of three distinct regulatory networks: differentially-expressed, related, and global.
- Analysis of interactions including TF-miRNA, miRNA-target gene, and miRNA-host gene.
- Comparative analysis of the constructed networks to identify key pathways and specific features.
Main Results:
- Identification of specific features in pathways involving differentially-expressed genes and miRNAs.
- Observation of a self-adaptation association between TP53 and hsa-miR-125b.
- Discovery of 16 significant differentially-expressed miRNAs, with examples like hsa-miR-196a-1 and its host gene HOXB7 forming self-adaptation associations.
Conclusions:
- The differentially-expressed network provides partial illumination of pancreatic cancer mechanisms.
- The study offers comprehensive data relevant to pancreatic cancer research.
- Further understanding of PC occurrence, mechanisms, progression, metastasis, and treatment may arise from this data.
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