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mRNA Sequencing (mRNA-seq)

mRNA Sequencing (mRNA-seq)

Introduction to RNA Sequencing

RNA sequencing (RNA-seq) has been transforming the study of cellular functionality, which provides researchers with an unprecedented insight into the transcriptional landscape of cells. Employing the high-throughput and accurate next-generation sequencing technique (NGS), RNA-seq reveals gene expression profiles and describes the continuous variations in the transcriptome. In the RNA-seq technique, the single-stranded messenger RNAs (mRNAs) are selectively captured or enriched, and converted to complementary DNA (cDNA) for library preparation.

At Novogene, cDNA libraries are sequenced using the state-of-the-art Illumina NovaSeq platforms, which utilize a paired-end 150 bp sequencing strategy (short-reads). Along with our rich experience and strong sequencing capacity, Novogene offers services to meet a wide array of research objectives. Our services not only include eukaryotic mRNA sequencing (mRNA-seq) services, Novogene can also deliver data on prokaryotic transcripts, non-coding RNAs, full-length isoforms (long-reads), whole transcriptomes, and meta-transcriptomes.

Applications of mRNA Sequencing

mRNA-seq is a powerful tool to analyze the cell transcriptome profile. Novogene’s professional services help on research goals in a wide range of applications, including:

  • Quantitative profiling of transcripts in different tissues or samples, under various conditions and treatments
  • Discovery of novel transcripts, alternative splicing (AS), and transcript variations
  • Research of developmental mechanisms and drug resistance through tissue-specific transcripts or time-course gene expression
  • Biomarker discovery based on novel transcripts/isoforms, SNP/InDel identification, and fusion gene analysis
  • Omics analysis in combination with the transcriptome
  • Investigation of pathogenic mechanisms and clinical subtypes in clinical diagnosis

Benefits of Novogene mRNA Sequencing

  • Novogene mRNA-seq offers high throughput and high accuracy (with Q30 score ≥ 85%) coupled with a low initial RNA input required. Novogene has extensive experience providing RNA-Seq services, having successfully completed thousands of projects to help multiple researchers to publish in high impact factor journals.
  • Novogene offers inclusive solutions for quantification, differential gene expression, annotation of novel transcripts, alternative splicing, discovery of fusion gene, and other potential variations. Highly-qualified bioinformaticians deliver publication-ready data using personalized pipelines for species either with or without a reference genome.

mRNA-seq Specifications: Sample Requirements

Library Type Sample Type Amount RNA Integrity Number (Agilent 2100) Purity (NanoDrop)
Eukaryotic RNA-Seq (cDNA library) Total RNA ≥ 200 ng ≥ 4.0, with smooth base line A260/280 = 1.8-2.2
A260/230 ≥ 1.8
Total RNA (Blood) ≥ 400 ng ≥ 5.8, with smooth base line
Amplified cDNA (double-stranded) ≥ 100 ng Fragments between 400bp and 5000bp with main peak at ~2000bp A260/280 = 1.8-2.0
A260/230 ≥ 1.8
Eukaryotic RNA-Seq (strand specific library) Total RNA ≥ 400 ng ≥ 5.8, with smooth base line A260/280 = 1.8-2.2
A260/230 ≥ 1.8

Note: Sample amounts are listed for reference only. Download the Service Specifications or Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

mRNA-seq Specifications: Sequencing and Analysis

Sequencing Platform Illumina NovaSeq 6000 Sequencing System
Read Length Paired-end 150 bp
Data Output
  • ≥ 20 million read pairs per sample for species with reference genome
  • ≥ 50 million read pairs per sample for species without reference genome (de novo transcriptome assembly projects)
  • Data Analysis Capability
  • Data Quality Control
  • Gene expression quantification
  • Differential expression profiling
  • Functional enrichment analysis
  • Novel transcripts identification
  • SNP & InDel analysis
  • Alternative splicing (AS) analysis
  • Fusion gene prediction
  • Protein-Protein Interaction (PPI) analysis
  • Transcription factors and oncogene functional annotation
  • Note: Recommended data outputs and analysis contents displayed are for reference only. Download the Service Specifications to learn more. For detailed information, please contact us with your customized requests.

    Project Workflow of Novogene mRNA-seq Services

    The project workflow starts with sample quality control (Sample QC) to ensure that your samples meet the criteria of the RNA-Seq technique. Then, the appropriate library is prepared according to your target organism and application, and subsequently tested for its quality (Library QC). Next, a 150 bp paired-end sequencing strategy is used to sequence the samples and the quality of the resulting data is also checked for its quality (Data QC). Finally, bioinformatic analyses are performed and publication-ready results are provided. The following flowsheet describes the step-by-step protocol our mRNA-seq technique follows.

    Preparation of sample is followed by the RNA library preparation. RNA library is formed by polyA capture (or rRNA removal) and reverse transcription of cDNA. Illumina PE150 technology is employed to sequence the sample and the final stage involves the bioinformatics analysis.


    Featured Publications using Novogene’s RNA-seq service

    RNA-seq (mRNA-seq) is the most frequently cited NGS method. Here we have summarized some outstanding academic publications that used Novogene RNA sequencing (mRNA Sequencing) services.

    Error Rate Distribution

    error rate for Novogene RNA-seq

    The x-axis shows the base position along each sequencing read and the y-axis shows the base error rate.


    GC Content Distribution

    GC Content Distribution for Novogene RNA-seq

    The x-axis for reads position, the y-axis for single base percentage. Different color for different base type.


    Classification of Raw Reads

    Classification of Raw Reads for Novogene RNA-seq


    Reads Distribution on Reference Genome

    Reads Distribution on Reference Genome for Novogene RNA-seq


    Gene Expression Quantification

    Gene Expression Quantification for Novogene RNA-seq

    The x-axis represents the name of sample, the y-axis indicates the log10(FPKM+1), parameters of box plots are indicated, including maximum, upper quartile, mid-value, lower quartile and minimum.


    Volcano Plot of changes on Gene Expression

     Volcano Plot of changes in Gene Expression for Novogene RNA-seq

    The x-axis shows the fold change of genes in different samples. The y-axis shows the statistically significant degree of changes in gene expression levels. The smaller the corrected pvalue, the bigger -log10(corrected pvalue), the more significant the difference. The points represent genes, blue dots indicate no significant difference in gene expression, red dots indicate upregulated differentially expressed genes, green dots indicate downregulated differentially expressed genes.


    Hierarchical Clustering Heatmap of Differential Expression

    Hierarchical Clustering Heatmap of Differential Expression for Novogene RNA-seq

    The overall results of FPKM cluster analysis, clustered using the log10(FPKM+1) value. Red denotes genes with high expression levels, and blue denotes genes with low expression levels. The color ranging from red to blue indicates log10(FPKM+1) value from large to small.