Targeted RNA Sequencing

Targeted RNA-sequencing selects and sequences subset transcripts of interests, increasing the coverage of a focused set of RNA sequences. It is an accurate method that generates genomic and gene-expression information of specific genome regions. The specific RNA sequences analysis enables RNA-Seq with high sensitivity and cost-effective access to NGS. By either targeted capture enrichment or amplicon-based approaches, Targeted RNA-Seq measures dozens to thousands of targets simultaneously. Enrichment assays also is a tool to identify both known and novel gene fusion partners in many sample types.

Providing qualitative and quantitative information for differential expression analysis, allele-specific expression measurement, and gene fusion verification, targeted RNA-sequencing can help to understand tumor classification and progression, genetic diseases and RNA drug response. Cancer transcriptome sequencing provides valuable information about gene expression changes in tumors. Profiling RNA-based drug response biomarkers aids too uncover multiple drug-susceptible tumorigenic pathways and improve the efficiency and success rate of the drug development process.

Advantages of Targeted RNA Sequencing

• Provides a comprehensive analysis of the specific transcripts
• Choose validated pathway, cell, or disease-specific panels
• Compatible with low-quality, formalin-fixed, paraffin-embedded (FFPE)
• Fast turnaround time and Highest data quality
• Strand information on RNA transcripts
• Effective transcriptome and pathways analysis 

Targeted RNA Sequencing workflow

We offer integrated targeted RNA-Seq workflows that simplify the entire process, from library preparation to data analysis and biological interpretation.

Sample Requirements

• Recommended concentration should be 20ug/uL or more.
• A minimum of 2μg of the total is required.
• A260: A280 value should be between 1.8 and 2.0
• RNA should be stored in nuclease-free water or RNA Stable.
• RNA must be validated using an assay such as a BioAnalyzer RNA chip. RIN value ≥ 7.0
• Tissue, cell, blood, and blood products are acceptable.

Sequencing

• Illumina High throughput sequencer
• Flexible service options: single end or paired-end sequencing, optional reads number according to research goals.

Data analysis

• Raw data QC
• Alignment and TPM/RPKM/FPKM-based quantitation
• Expression analysis
• Statistics of SNPs/Indels
• Alternative splicing analysis
• GO and KEGG annotation