Novogene’s circRNA sequencing service (circRNA-seq) uses next-generation sequencing (NGS) technology to support a wide range of investigations focused on circRNA. The regulatory function of circRNAs may be involved in many biological processes, such as regulation of gene expression by acting as miRNA “sponges”, transport of miRNAs, and overall regulation of protein synthesis.
Applications
- circRNA-seq reveals the molecular importance in regulating gene expression including:
- Profiling known and novel circRNAs and prediction of target genes
- Identification of biomarkers for diagnostics and classification of cancer or diseases
- Exploration of regulatory networks between ncRNA and miRNA
- Understanding the mechanisms of tissue or organism development based on transcript profiles
Benefits
The circRNA-seq service relies on Novogene’s extensive experience supporting many investigators in research. This service offers a comprehensive analysis performed with industry-standard software and a mature in-house bioinformatics pipeline. Novogene provides a convenient and fast solution to assist researchers in understanding the regulatory networks and the deep regulatory mechanisms of gene expression.
Specifications: RNA Sample Requirements
| Library Type | Sample Type | Amount | RNA Integrity Number (Agilent 2100) | Purity (NanoDrop) |
| circRNA Library | Total RNA | ≥ 2 μg | Animal ≥ 7, Plant ≥ 6.5, with smooth baseline | OD260/280 ≥ 2.0; OD260/230 ≥ 2.0; no degradation, no contamination |
Specifications: Sequencing and Analysis
| Sequencing Platform | Illumina NovaSeq 6000 |
| Read Length | Paired-end 150bp |
| Recommended Sequencing Depth | ≥ 40 million read pair per sample |
| Standard Data Analysis | Data Quality Control
circRNA Identification Transcript Expression Quantification & Differential Expression Analysis Functional Enrichment Analysis CircRNA Target Gene Prediction |
Project Workflow
The workflow begins with the evaluation of sample quality. After ribosomal RNA (rRNA) depletion, samples are digested by RNase R to remove linear transcripts. Strand-specific libraries (also known as stranded/directional libraries) are prepared, and the sequencing is performed using a paired-end 150bp strategy. Quality assessment of the samples, libraries, and sequencing data are performed to guarantee high-quality results. Bioinformatics pipelines can be tailored to multiple needs, providing high-quality, publication-ready results.
