miRNA-mRNA Interactions Analysis
MicroRNAs (miRNAs) are key regulators of gene expression and their dysregulation has been associated with various diseases. Understanding the interactions between miRNAs and messenger RNAs (mRNAs) is crucial for unraveling gene regulatory networks and discovering diagnostic and prognostic markers. CD Genomics offers a comprehensive miRNA-mRNA interaction analysis service to investigate these relationships using deep sequencing and advanced bioinformatics techniques.
Overview
miRNAs are small RNA molecules that bind to target mRNAs, leading to mRNA degradation or inhibition of protein translation. Multiple miRNAs often act cooperatively to regulate a single gene, while a single miRNA can target multiple genes. These complex interactions pose challenges for fully characterizing miRNA-mRNA interaction networks. Functional characterization of these interactions requires specialized computational platforms and analysis of RNA-Seq data.
Our miRNA-mRNA Integrated Analysis Service combines state-of-the-art computational algorithms and advanced bioinformatics techniques to analyze high-throughput sequencing data, such as small RNA-seq and mRNA-seq data. By integrating miRNA and mRNA analysis, we offer a holistic view of gene regulation networks, enabling the identification of key regulatory interactions and potential therapeutic targets. We also offer Integrative lncRNA Solutions and microRNA Target Prediction services.
Features
| High Compatibility | Integrated Analysis | Cutting-edge Algorithms | One-Stop Solution |
|---|---|---|---|
| Identify microRNA binding regions in target mRNAs. | Combine experimental data with computational analysis to efficiently narrow down the relationships between miRNAs and mRNAs. | Stay up-to-date with the latest research and methodologies in miRNA-mRNA analysis. | One-stop solution from sample QC, library construction, to sequencing and data analysis. |
Project Workflow
1. Sample Preparation
Quality assessment and quantification
2. Library Preparation
cDNA and small RNA library preparation
3. Sequencing
Illumina/PacBio/Nanopore
4. Data Analysis
Visualize and preprocess results, and perform custom bioinformatics analysis.
Bioinformatics Analysis Pipeline
- Data Preprocessing: We perform quality control and preprocessing of raw sequencing data to ensure data integrity and reliability.
- Differential Expression Analysis: We identify differentially expressed miRNAs and mRNAs between experimental groups to reveal potential regulatory networks and signaling pathways involved in specific biological conditions or disease states. Learn more.
- Target Prediction: Using advanced target prediction algorithms, we predict potential mRNA targets for miRNAs. This analysis helps uncover novel miRNA-target interactions and provides a basis for further experimental validation. Learn more.
- Functional Enrichment Analysis: We conduct functional enrichment analysis to identify biological processes, molecular functions, and cellular pathways associated with differentially expressed miRNAs and their target mRNAs. This analysis aids in understanding the underlying mechanisms influenced by miRNA-mediated gene regulation.
- Network Visualization: We generate interactive network visualizations to illustrate the complex regulatory networks formed by miRNAs and their target mRNAs. These visual representations facilitate the identification of key miRNAs, target genes, and potential hub molecules within the network.
Sample Requirements
RNA sample (concentration ≥ 200 ng/uL, quantity ≥ 1 ug)
1.8 ≤ OD260/280 ≤ 2.2, OD260/230≥2.0, RIN ≥ 6.5, 28S:18S≥1.0.
Please make sure that the RNA is not degraded.
Sample Storage: RNA can be dissolved in ethanol or RNA-free ultra-pure water and stored at -80°C. RNA should avoid repeated freezing and thawing.
Shipping Method: When shipping RNA samples, the RNA sample is stored in a 1.5 mL Eppendorf tube, sealed with a sealing film. Shipments are generally recommended to contain 5-10 pounds of dry ice per 24 hours.
Deliverable: FastQ, BAM, coverage summary, QC report, custom bioinformatics analysis.
