RNA Sequencing Services

CD Genomics 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.

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What is RNA sequencing

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.

Researchers across the world continue to trust us for over a decade, and we continue to deliver on their trust

Leading universities, research institutions, and pharmaceutical companies across the world continue to trust us for over a decade, and we continue to deliver on their trust

Features Service Portfolio Platforms Application Sample Requirement Demo & Publication Publication Download Inquiry

How Our Service Portfolio Supports Your Research

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

Detect novel transcripts, SNPs, InDels, or other variations

Examine the sequences and quantity of RNA molecules

We provide a full range of RNA sequencing solutions to satisfy your specific needs

Superior data quality: ≥80% bases with ≥Q30, >90% on average

High-quality bioinformatics analysis in an efficient and customizable way

Service Portfolio

Explore how our epitranscriptomics services help researchers map RNA modifications and explore their pathways.

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.

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.

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.

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.

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.

Poly(A)-Seq

Poly(A)-Seq is a next-generation sequencing method designed for transcriptome-wide profiling of polyadenylation sites and poly(A) tail lengths. IT offers a comprehensive view of the polyadenylated transcriptome and its regulation in various biological contexts.

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.

Iso-Seq

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.

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.

mRNA-Seq

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.

Exosome RNA Sequencing

This technique is particularly useful for biomarker discovery, cancer research, and monitoring disease progression. It offers high sensitivity for detecting low-abundance RNA molecules and provides specificity due to the diverse cellular origins of exosomes.

Metatranscriptomics Service

Metatranscriptomics services focus on sequencing and analyzing RNA from complex microbial communities. This approach identifies expressed enzyme functions, metabolic pathways, and compares gene expression levels between samples.

CAGE Sequencing

CAGE sequencing analyzes the 5' ends of mRNAs, providing insights into transcription start sites and gene regulation.

Sequencing Platforms

A wide range of efficient sequencing platforms

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

Learn more about a wide range of efficient sequencing platforms.

Application of RNA-Seq

Cancer Transcriptomics

Tumor Classification: It aids in understanding tumor classification and progression by monitoring gene expression and transcriptome changes.
Driver Mutations: RNA-Seq helps identify mutations that drive cancer initiation and progression, distinguishing them from passenger mutations.
Pathway Analysis: It reveals pathways that are up- or down-regulated in cancer, providing crucial information for identifying molecular targets for precision therapeutics.
Cancer Subtypes: Transcriptomic differences between cancer samples and non-cancerous tissue help differentiate cancer subtypes and assess the impact of mutations.
Intratumor Heterogeneity: RNA-Seq can investigate intratumor transcriptomic diversity, providing insights into tumor evolution and metastasis.

Population Genetics

Genetic Principal Components: RNAseq-based genetic principal components (RG-PCs) can capture subpopulations within a dataset, comparable to array-based genotypes.
Diverse Populations: It has been used to study genetic structure in diverse populations, such as understudied Nepalese populations.
Evolutionary Biology: RNA-Seq contributes to research in population genetics and evolutionary biology.

Pharmacogenomics Applications

Biomarker Discovery: RNA-Seq can be used for biomarker discovery, which is crucial in pharmacogenomics.
Drug Response: Transcriptomic profiles can potentially predict drug responses and help in personalizing treatments.

Agricultural Applications

Crop Improvement: It helps identify genes that could improve yield and resilience through engineering, breeding, and seed selection.
Stress Response: RNA-Seq aids in understanding plant responses to pathogens, heat, or drought, helping develop more resilient crops.
Developmental Programs: It unravels developmental programs during plant growth.
Comparative Studies: RNA-Seq has been used to identify differences in gene expression between domesticated grains and their wild relatives

Sample Submission

Sample type

Cells

Tissue: fresh- frozen, stabilized or FFPE

Blood

Biofluids: serum, plasma (EDTA and citrate), urine, cell media,

exosomes, buccal swabs, saliva, cerebral spinal fluid, stool

Other

Sample Guideline

Deliverables

Download Our Demo Report

The original sequencing data

Experimental results

Data analysis report

Details in Bacterial RNA Sequencing for your writing (customization)

Publication form CD Genomics

More publications

Article	Journal	Published	Tags	Species
Vaccination with a Protective Ipa Protein-Containing Nanoemulsion Differentially Alters the Transcriptomic Profiles of Young and Elderly Mice following Shigella Infection	Vaccines	2024	RNA sequencing	Mice
StarD5 levels of expression correlate with onset and progression of steatosis and liver fibrosis	Gastrointestinal and Liver Physiology	2024	RNA-Seq	Mice
Role of the histone variant H2A.Z.1 in memory, transcription, and alternative splicing is mediated by lysine modification	Neuropsychopharmacology	2024	RNA sequencing	Human
Cholestenoic acid as endogenous epigenetic regulator decreases hepatocyte lipid accumulation in vitro and in vivo	Gastrointestinal and Liver Physiology	2024	WGBS, RNA sequencing	Human hepatocyte

References:

Han Y, Gao S, Muegge K, et al. Advanced applications of RNA sequencing and challenges. Bioinformatics and biology insights, 2015, 9: BBI. S28991.

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