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.
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:
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.
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.
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.
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.
Constitutive GLI1 expression in chondrosarcoma is regulated by major vault protein via mTOR/S6K1 signaling cascade
Cell Death & DifferentiationIssue Date: 2021.2IF: 10.717DOI: 10.1038/s41418-021-00749-4
High-throughput screening in postimplantation haploid epiblast stem cells reveals Hs3st3b1 as a modulator for reprogramming
Stem Cells Translational MedicineIssue Date: 2021.1IF: 11.5DOI: 10.1002/sctm.20-0468
Mechanisms for the impacts of graphene oxide on the developmental toxicity and endocrine disruption induced by bisphenol A on zebrafish larvae
Journal of Hazardous MaterialsIssue Date: 2020.12IF: 9.038DOI: 10.1016/j.jhazmat.2020.124867
Integrated analysis of microbiome and host transcriptome reveals correlations between gut microbiota and clinical outcomes in HBV-related hepatocellular carcinoma
Genome MedicineIssue Date: 2020.11IF: 10.675DOI: 10.1186/s13073-020-00796-5
Relief of Biofilm Hypoxia Using an Oxygen Nanocarrier: A New Paradigm for Enhanced Antibiotic Therapy
Advanced scienceIssue Date: 2020.3IF: 15.84DOI: 10.1002/advs.202000398
The x-axis shows the base position along each sequencing read and the y-axis shows the base error rate.
The x-axis for reads position, the y-axis for single base percentage. Different color for different base type.
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.
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.
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.
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