Transcriptome Sequencing (RNA-sequencing) Service

    The transcriptome is the complete set of transcripts within a cell under specific developmental stages or physiological conditions. The main purpose of transcriptome sequencing is to classify all transcripts, including mRNAs, non-coding RNAs, and small RNAs; to determine the transcriptional structure of genes according to the gene's start site, 5′ and 3′ ends, splicing patterns, and other post-transcriptional modifications; and to quantify changes in the expression levels of each transcript during development and under different conditions. Understanding the transcriptome is essential for interpreting the functional components of the genome, revealing the molecular composition of cells and tissues, and understanding development and disease. It has been widely applied in basic research, clinical diagnosis, and drug development.

     

    Advantages

    1. Technology Advantages

    MtoZ Biolabs transcriptome sequencing is based on the Illumina high-throughput sequencing platform, capable of detecting the overall transcription levels of any species at the single nucleotide level. While analyzing the structure and expression levels of transcripts, it can also discover unknown and rare transcripts and accurately identify alternative splicing sites and coding single nucleotide polymorphisms (cSNPs), thus providing the most comprehensive transcriptome information. Compared with traditional chip hybridization platforms, transcriptome sequencing can detect the entire transcription levels of any species without pre-designing known sequence probes, providing more accurate digital signals, higher detection throughput, and a wider detection range. Transcriptome sequencing analysis is a powerful tool for in-depth study of transcriptome complexity.

     

    2. Service Advantages

    (1) Experienced technicians provide a full range of professional services from experimental design, sample detection, data analysis, etc.

    (2) Clear processes reduce unnecessary sample and time waste, with short delivery times.

    (3) Autonomous biometrics analysis platform that provides advanced customized analysis in addition to routine analysis.

    (4) MtoZ Biolabs has proteomics, metabolomics, and other analysis platforms, allowing for multi-omics integration analysis to enhance the quality of publications.

     

    Analysis Workflow

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    Sample Submission Requirements

    (1) Cells ( ≥ 5×106), fresh plant tissue ( ≥ 500 mg), animal tissue ( ≥ 300 mg), blood ( ≥ 2 mL), FFPE samples ( ≥ 10 sections without HE staining).

    (2) RNA samples (nucleic acid quality ≥ 3 μg, 260/280 ≥ 2.0, RIN value ≥ 7, 28S/18S ≥ 1.0, concentration ≥ 50 ng/μL, volume ≥ 10 μL).

     

    Case Study

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    Figure 1. Transcriptome Sequencing Case Study

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