RNA Sequencing

Overview Features Demo Cases & FAQ Resources Inquiry


RNA sequencing (RNA-seq) is a technique that examines the sequences and quantity of RNA molecules in a biological sample using next generation sequencing (NGS). Next-generation sequencing technologies have the advantages of high throughput, high sensitivity, and high speed. RNA-seq is a rather unbiased method for analysis of the transcriptome, with single-nucleotide resolution and a tremendous dynamic detection range (>8,000 fold).RNA-seq is now being widely applied in biomedical research for the characterization of the transcriptome. The experimental workflow of RNA-seq consists of RNA isolation, cDNA library construction, and deep sequencing. RNA-seq allows for the quantification of the abundance level or relative alterations of each transcript under specific conditions or during defined developmental stages.

We provide a full range of RNA sequencing services to help analyze the gene expression patterns, examine changes in the transcriptome, and detect novel RNA molecules, mutations, and gene fusions, enabling a deeper understanding of RNA biology and disease development. In addition to NGS, we provide a long-read sequencing-based method (iso-seq) for full-length transcript sequencing, avoiding errors that can occur with NGS approaches.


Service Portfolio

Explore how RNA sequencing helps researchers understand RNA dynamics through transcriptomic and bioinformatic insights.

Total RNA-Seq

Total RNA sequencing analyzes all the RNA molecules in biological samples, either mRNAs or non-coding RNAs such as lncRNAs. We provide total RNA sequencing to depict a complete view of the transcriptome.

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Whole Transcriptome Sequencing

Whole Transcriptome sequencing provides a complete picture of mRNAs, lncRNAs, circRNAs, and miRNAs under specific conditions. It can be used to reveal the complex post-transcriptional regulation mechanism.

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Poly(A) RNA-Seq

Poly(A) RNA sequencing provides quantitative analysis of gene expression in a sample under specific conditions and enables the detection of novel transcripts/genes, alternative splicing, and gene fusion events.

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Targeted RNA-Seq

Targeted RNA-seq is a powerful tool for analyzing specific transcripts of interest, offering both quantitative and qualitative information. This approach can be used to detect RNAs in multiple sample types, such as FFPE tissue.

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Single-Cell RNA-Seq

Single-Cell RNA sequencing studies the transcriptome of individual cells in an unbiased manner. High resolution analysis allows for the discovery of cellular differences that cannot be revealed by bulk sampling methods.

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Ultralow Input RNA-Seq

Ultralow input RNA-seq enables researchers to explore the transcriptome at ultra-low input. This method generates high-quality and sensitive results and can be used to uncover cell-specific expression profiles.

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The iso-seq method reads the full-length of transcripts using Single Molecule, Real-Time (SMRT) Sequencing. Long read lengths enable sequencing of transcripts up to 10 kb or longer, which eliminates the need for transcript assembly.

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Digital RNA-Seq

Digital RNA sequencing reduces PCR amplification biases by barcoding cDNA molecules before amplification. After deep sequencing, these barcodes are used to determine the abundance of RNA.

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Dual RNA Sequencing

Dual RNA sequencing is a powerful tool for the dissection of the in vivo host-pathogen interplay, uncovering the influences that both organisms exert over each other, and elucidating the molecular dynamics underlying bacterial fitness, etc.

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CD Genomics’s mRNA-Seq service, powered by the state-of-the-art Illumina NovaSeq platforms, offers comprehensive solutions for gene expression quantification, differential gene expression analysis, identification of novel transcript isoforms, alternative splicing, and gene fusions, etc.

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Spatial Transcriptome Sequencing

Spatial transcriptome sequencing generates transcriptome data from complete tissue samples and to locate and distinguish the active expression of functional genes in specific tissue regions, provide valuable insights for research and diagnosis, and allow scientists to detect gene expression of tissue samples.

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Application Fields

  • Cancer transcriptomics
  • Population genetics
  • Pharmacogenomics applications
  • Agricultural applications

Sequencing Platforms

  • Illumian HiSeq 2500 / HiSeq 4000 / HiSeq X Ten / NovaSeq 6000 / NextSeq 500 / MiSeq
  • PacBio RS II / Sequel
  • Nanopore PromethION
  • 10X Genomics

Demo Results

RNA sequencing data qualityRNA sequencing data quality

Transcriptome mapping resultsTranscriptome mapping results

Differential gene expression analysis resultsDifferential gene expression analysis results

Volcano plot and scatter plotVolcano plot and scatter plot

Differential mRNA transcript clustering heatmap exampleDifferential mRNA transcript clustering heatmap example

Protein interaction network diagram exampleProtein interaction network diagram example

Case Studies



  1. Han Y, Gao S, Muegge K, et al. Advanced applications of RNA sequencing and challenges. Bioinformatics and biology insights, 2015, 9: BBI. S28991.
* For Research Use Only. Not for use in diagnostic procedures.

Research Areas
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