RNA sequencing (RNA-Seq) with next-generation sequencing (NGS) has revolutionized transcriptome research. It provides a high-resolution view into gene expression and regulators at both coding and noncoding regions. RNA-Seq offers numerous advantages over the traditional RT-PCR assay and gene expression array. It detects both known and novel features in a single assay, including changes in gene expression levels, gene fusions, alternative splicing events and single nucleotide variants. 

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Whole Transcriptome Sequencing

Whole transcriptome sequencing showcases the expression levels of thousands of genes simultaneously, while also detecting novel transcripts, structural variations and unannotated exons important in revealing disease pathogenesis, molecular classification, treatment responses and prognosis. 

We offer two library preparation approaches to suit your research interests:

  • poly(A) enrichment of mRNA with main focus on protein-coding transcriptome 
  • rRNA depletion approach for human/mouse/rat RNA samples that keeps both coding and non-coding RNA to provide comprehensive transcriptome information

Small RNA Sequencing

Small RNAs are a type of regulatory non-coding RNA (nRNA) between 18-30 nucleotides. They include microRNA (miRNA), small-interfering (siRNA) and Piwi-interacting RNA (piRNA), which play important roles in post-transcriptional regulation of gene expression. 

Small RNA sequencing is an efficient tool to query the abundance and variety of small RNAs, discover novel small RNAs, uncover biomarkers for disease classification, response to therapy and prognosis. 

CircRNA Sequencing

Circular RNAs (circRNAs) are a new class of closed, non-coding RNAs, in which the 3’ and 5’ ends are covalently linked. They were recently discovered, and are widespread and abundant in mammalian cells. The expression of circRNA is developmentally regulated, related to tissue and cell-type specific and disease status – suggesting their potential function in regulation of gene expression. However, one of the exciting areas of transcriptome research is that the detailed working mechanisms of circRNAs are largely unknown. 


A one-stop solution to your research

  • RNA sample quality control 
  • Library construction and quality control 
  • High-throughput sequencing 
  • Standard or customized bioinformatic analysis 
  • Secure cloud-based data delivery  
  • 2-4 weeks* from receipt of samples in our sequencing facility 
*Longer turnaround time may be needed if a large number of samples are submitted. 

Extracted total RNA

  • Platforms: HiSeq X-TEN or NovaSeq 6000 
  • Read length: Pair-end 2 x 150bp 
  • Quality score: >80% of bases higher than Q30 

Sample Requisition

Sample Type 


Total amount 

Other requirements 

Preferred Buffer 

Total RNA from cell lines or frozen/fresh tissues samples  ≥20 ng/ul  ≥200 ng  A260/280≥1.8; A260/230≥1.8

RIN≥7; No DNA contamination 

EB or TE buffer 
Total RNA from FFPE sample ≥40 ng/ul  ≥1 ng  A260/280≥1.8; A260/230≥1.8

RIN≥2; No DNA contamination 

EB or TE buffer 
*Sample quantities should be determined by fluorometric method (e.g. Qubit, PicoGreen). 


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