The regulation of transcriptome expression level is a complex process involving multiple-level interactions among molecules such as protein coding RNA (mRNA), long noncoding RNA (lncRNA), and microRNA (miRNA), which are essential for the transcriptome stability and maintenance and regulation of body homeostasis. The availability of multilevel expression data enables a comprehensive view of the ...

Abstract Thyroid Carcinoma (THCA) is the most common endocrine tumor that mainly treated using surgery and radiotherapy. In addition, immunotherapy a recently developed treatment option has played an essential role in management of several types tumors. However, few reports exist on use to treat THCA. The study downloaded miRNA, mRNA lncRNA data for THCA patients from TCGA database ( https://po...

Abstract Background Colorectal cancer (CRC) is one of the most common cancers in world, and liver metastasis leading cause colorectal cancer-related deaths. However, mechanism CRC has not been clearly elucidated. Methods Three datasets from Gene Expression Omnibus (GEO) database were analyzed to obtain differentially expressed genes (DEGs), which subjected functional enrichment analysis protein...

To date, a significant amount of research has been conducted for computational modeling of the microRNA (miRNA)-target gene interactions and inferring different kinds of biologically relevant association from their variable expressions, available from microarray experiments. However, topological organization of the miRNA-transcription factor (TF) induced regulatory network has not yet been anal...

Regulatory relationships of 686 intronic miRNA and 784 intergenic miRNAs with mRNAs of 51 intronic miRNA coding genes were established. Interaction features of studied miRNAs with 5'UTR, CDS and 3'UTR of mRNA of each gene were revealed. Functional regions of mRNA were shown to be significantly heterogenous according to the number of binding sites of miRNA and to the location density of these si...

BACKGROUND Identifying cancer subtypes is an important component of the personalised medicine framework. An increasing number of computational methods have been developed to identify cancer subtypes. However, existing methods rarely use information from gene regulatory networks to facilitate the subtype identification. It is widely accepted that gene regulatory networks play crucial roles in un...

Non‑coding RNAs serve important roles in regulating the expression of certain genes and are involved in the principal biological processes of breast cancer. The majority of studies have focused on defining the regulatory functions of long non‑coding RNAs (lncRNAs) and microRNAs (miRNAs/miRs), and few studies have investigated how lncRNAs and miRNAs are transcriptionally regulated. In the presen...