Leading Edge Genomic Services & Solutions

mRNA-Seq

Service Overview
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RNA Sequencing ServiceCompared with microarray analysis, mRNA sequencing (RNA-Seq) provides a more precise and complete snapshot of the transcriptome and enables the identification of novel transcripts, alternative splicing, and gene fusion events. RNA-Seq also provides an alternative and affordable approach for gene expression quantification and differential gene expression analysis among groups of samples. It is widely used in disease research, drug response research, pharmacokinetics, and personalized healthcare research. Novogene offers complete solutions for transcriptome sequencing and RNA-Seq quantification using state-of-the-art Illumina NovaSeq and HiSeq platforms with paired-end 150 bp (PE 150) sequencing strategy. The longer read length ensures superior data quality and accurate sequence assembly. Our experienced bioinformaticians work closely with customers to provide standard and customized data analysis and publication ready results for species with and without a reference genome. In addition to mRNA sequencing, we offer lncRNA, circular RNA, and small RNA sequencing services. Contact us to learn more.

The Novogene Advantage

  • Extensive experiencewith over 37,000 projects successfully completed and the total output data exceeded 8,521 PB and articles published on transcriptome sequencing results across different species.
  • Unsurpassed data quality with a guaranteed Q30 score ≥80% that exceeds Illumina’s official guarantee.
  • Comprehensive data analysis using widely accepted mainstream software and mature in-house pipeline to discover novel transcripts, differential expressions, and function annotations.
  • Free, powerful Novofinder software that enables Novogene customers to easily access and visualize data analysis results and annotations through a user-friendly interface.

Project Workflow

RNA Sequencing Service Project Workflow

Sequencing Strategy

  • 250-300 bp insert cDNA library
  • Illumina platform, paired-end 150 bp

Data Quality Guarantee

  • Our data quality guarantee, as measured by the percentage of bases with a sequencing quality score above Q30 (PE 150, ≥80%), exceeds Illumina’s official guarantee (PE 150, ≥75%). See examples of our high quality data.

Sample Requirements

Library Type Sample Type Amount (Qubit®) Volume Concentration RNA Integrity Number (Agilent 2100) Purity (NanoDrop™/Agarose Gel)
Eukaryotic RNA-Seq Total RNA (Animal) ≥ 1 μg ≥ 20 μl ≥ 20 ng/μl ≥ 6.8, smooth base line No degradation, no contamination
Total RNA (Plant and Fungus) ≥ 1 μg ≥ 20 μl ≥ 20 ng/μl ≥ 6.3, smooth base line No degradation, no contamination
Prokaryotic RNA-Seq Total RNA ≥ 3 μg ≥ 20 μl ≥ 20 ng/μl ≥ 6.0, smooth base line No degradation, no contamination
Low input RNA Total RNA ≥ 200ng ≥ 20 μl ≥ 20 ng/μl Animal: ≥ 6.8, Plant & Fungus: ≥ 6.3, smooth base line No degradation, no contamination
Amplified cDNA Double-stranded cDNA ≥ 200ng - - Peak range: 400 bp - 9000 bp , Main peak: 1200 bp - 2500 bp No degradation, no contamination

Turnaround Time

  • Within 20working days from verification of sample quality without data analysis
  • The turnaround for data analysis is project-dependent

Recommended Sequencing Depth

  • ≥ 6 G Raw Data

Analysis Pipeline

  • Pipeline for Standard Analysis-mRNA
Pipeline for RNA Sequencing Service Transcriptome
  • Pipeline for Quantification Analysis-mRNA
Pipeline for RNA Sequencing Service Transcriptome
  • Pipeline for Transcriptome De novo Analysis
Pipeline for RNA Sequencing Service Quantification
Table. Representative data quality results of Novogene's mRNA sequencing service (PE150)
Platform Sample Name # Of Raw reads # Of Clean reads Clean bases Error Rate (%) Q 20 (%) Q 30(%) GC Content (%)
NovaSeq A 114833275 113144424 16.97G 0.02 96.99 95.51 46.37
NovaSeq a 108025644 106306801 15.95G 0.02 96.98 95.48 46.16
NovaSeq B 81341635 444994961 12.04G 0.02 97.08 95.61 48.87
NovaSeq b 75199448 74820173 11.23G 0.02 97.13 95.69 48.55
HiSeq C 61857270 58272366 8.74G 0.02 96.55 91.82 49.63
HiSeq c 54854516 51178674 7.68G 0.02 96.46 91.56 49.55
HiSeq D 54204202 52191586 7.83G 0.02 96.46 91.53 51.54
HiSeq d 62043078 59714752 8.96G 0.02 96.31 91.18 51.27

Project Example

The following study utilized Novogene's expert mRNA-Seq services. JNK1 negatively controls antifungal innate immunity by suppressing CD23 expression Nature Medicine, 23(3): 337-346 (2017) Fungal infections pose a severe threat to immunocompromised patients, and improved understanding of the mechanisms that negatively regulate host immune responses could lead to better treatments for these infections. In this research, the role of the kinase JNK1 in host antifungal responses was explored. This study first showed that mice deficient in JNK1 had a significantly higher survival rate than wild-type (WT) mice following infection with the opportunistic pathogen Candida albicans. Next, Novogene’s RNA sequencing service was employed to identify genes that might be responsible for resistance to fungal infection. The gene Fcer2a, which encodes CD23, a novel lectin receptor that plays a major role in the induction of host antifungal immune responses, was found to be significantly upregulated in stimulated JNK1-knockout cells when compared with WT control cells. The role of CD23 was validated by showing that suppression of CD23 gene expression eliminated the enhanced antifungal response found in JNK1-deficient mice. This study indicated that JNK1 may be a therapeutic target for treating fungal infection and confirmed the value of RNA-Seq for identifying novel gene expression patterns during host immune responses.
mRNA chart Figure. WT and JNK1-knockout (KO) bone marrow-derived macrophages were stimulated with yeast-form C. albicans for 24 hours or exposed to medium as a control. Heat maps of selected gene panels are shown. The red arrow indicates the Fcer2a gene.

Examples of Publications Using Novogene’s Expertise

Journal Title
Nature Structural & Molecular Biology, 20:1131-1139 (2013) Single-cell RNA-seq profiling of human preimplantation embryos and embryonic stem cells.
The Plant Cell, 26:1878 (2014) mRNA and small RNA transcriptomes reveal insights into dynamic homoeolog regulation of allopolyploid heterosis in nascent hexaploid wheat.
Nature Communications, 6:6239 (2015) Integration of Hippo signalling and the unfolded protein response to restrain liver overgrowth and tumorigenesis.
Cell Stem Cell, 18:495-507 (2016) The RNA-seq approach to discriminate gene expression profiles in response to melatonin on cucumber lateral root formation.
Nature, 533:487-492 (2016) Tracing haematopoietic stem cell formation at single-cell resolution.
Cell Research, 27(2):165–183 (2016) DNA methylation and chromatin accessibility profiling of mouse and human fetal germ cells.
Neuron, 94(6):1155–1172 (2017) A critical role of presynaptic cadherin/catenin/p140Cap complexes in stabilizing Spines and functional synapses in the neocortex..
Nature Communications, 8:15278 (2017) Menin enhances c-Myc-mediated transcription to promote cancer progression.
Nature Genetics, 49(7): 1061-1072 (2017) Lineage-specific functions of TET1 in the postimplantation mouse embryo.
Cell, 173(6): 1454-1467.e15 (2018) Opposite roles of salicylic acid receptors NPR1 and NPR3/NPR4 in transcriptional regulation of plant immunity.
Nature Cell Biology, 20: 535–540 (2018) Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs.
Hepatology, 67(6): 2254-2270 (2018) RNA N6‐methyladenosine methyltransferase‐like 3 promotes liver cancer progression through YTHDF2‐dependent posttranscriptional silencing of SOCS2.
Journal of Clinical Investigation, 128(9): 4148–4162 (2018) HECTD3 mediates TRAF3 polyubiquitination and type I interferon induction during bacterial infection.
Nature Communications, 9: 1480 (2018) HOXA9 inhibits HIF-1α-mediated glycolysis through interacting with CRIP2 to repress cutaneous squamous cell carcinoma development.
Nature Communications, 9: 1345 (2018) Contraction of basal filopodia controls periodic feather branching via Notch and FGF signaling.