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Non-Reference based mRNA Sequencing-Illumina

mRNA sequencing adopts next-generation sequencing technique (NGS) to capture the messenger RNA(mRNA) form Eukaryote at specific period that some special functions are activating. The longest transcript spliced was called ‘Unigene’ and used as the reference sequence for subsequent analysis, which is an effective means to study the molecular mechanism and regulatory network of the species without reference.

After transcriptome data assembly and unigene functional annotation

(1)SSR analysis, CDS prediction and gene structure will be preformed.

(2)Quantification of unigene expression in each sample will be performed.

(3)Differentially expressed unigenes between samples (or groups) will be discovered based on unigene expression

(4)Clustering, functional annotation and enrichment analysis of differentially expressed unigenes will be performed


Service Details

Bioinformatics

Demo Results

Case Study

Features

● Independent of any reference genome,

● The data could be used to analyze the structure and expression of transcripts

● Identify variable clipping sites

Service Advantages

● BMKCloud-based result delivery: Results are delivered as data file and interactive report via BMKCloud platform, which allows user-friendly reading of complex analysis outputs and customized data mining on base of standard bioinformatics analysis.

● After-sale services: After-sale services valid for 3 months upon project completion, including projects follow-up, trouble-shooting, results Q&A, etc.

Sample Requirements and Delivery

Sample Requirements:

Nucleotides:

Conc.(ng/μl)

Amount (μg)

Purity

Integrity

≥ 20

≥ 0.5

OD260/280=1.7-2.5

OD260/230=0.5-2.5

Limited or no protein or DNA contamination shown on gel.

For plants: RIN≥6.5;

For animals: RIN≥7.0;

 5.0≥28S/18S≥1.0;

limited or no baseline elevation

Tissue: Weight(dry): ≥1 g
*For tissue smaller than 5 mg, we recommend to send flash frozen(in liquid nitrogen) tissue sample.

Cell suspension: Cell count = 3×107
*We recommend to ship frozen cell lysate. In case that cell counts smaller than 5×105, flash frozen in liquid nitrogen is recommended.

Blood samples:
PA×geneBloodRNATube;
6mLTRIzol and 2mL blood(TRIzol:Blood=3:1)

Recommended Sample Delivery

Container:
2 ml centrifuge tube (Tin foil is not recommended)
Sample labeling: Group+replicate e.g. A1, A2, A3; B1, B2, B3... ...

Shipment:
1.Dry-ice: Samples need to be packed in bags and buried in dry-ice.
2.RNAstable tubes: RNA samples can be dried in RNA stabilization tube(e.g. RNAstable®) and shipped in room temperature.

Service Work Flow

Sample QC

Experiment design

sample delivery

Sample delivery

Pilot experiment

RNA extraction

Library Preparation

Library construction

Sequencing

Sequencing

Data analysis

Data analysis

After sale Services

After-sale services


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  • Bioinformatics

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    1.mRNA(denovo) Principle of Assembly 

    By Trinity, reads are fragmented into smaller pieces, known as K-mer. These K-mers are then used as seeds to be extended into contigs and then component basing on contig overlappings. Finally, De Bruijn was applied here to recognize transcripts in the components.

    mRNA-(De-novo)-Overview-of-Trinity

    mRNA (De novo) Overview of Trinity

    2.mRNA (De novo) Distribution of Gene Expression Level

    RNA-Seq is able to achieve a highly sensitive estimation of gene expression. Normally, the detectable range of transcripts expression FPKM is ranging from 10^-2 to 10^6

    mRNA-(De-novo)-Distribution-of-FPKM-density-in-each-sample

    mRNA (De novo) Distribution of FPKM density in each sample

    3.mRNA (De novo) GO Enrichment Analysis of DEGs

    GO (Gene Ontology) database is a structured biological annotation system containing a standard vocabulary of gene and gene products functions. It contains multiple levels, where the lower the level is, the more specific the functions are.

    mRNA-(De-novo)-GO-classification-of-DEGs-at-second-level

    mRNA (De novo) GO classification of DEGs at second level

    BMK Case

    Transcriptome Analysis of Sucrose Metabolism during Bulb Swelling and Development in Onion (Allium cepa L.) 

    Published: frontiers in plant science,2016

    Sequencing strategy

    Illumina HiSeq2500

    Sample collection

    The Utah Yellow Sweet Spain cultivar “Y1351” was used in this study. The number of samples collected was
    15th day after swelling (DAS) of bulb (2-cm diameter and 3–4 g weight), 30th DAS (5-cm diameter and 100–110 g weight), and ∼3 on the 40th DAS (7-cm diameter and 260–300 gram).

    Key results

    1. in the Venn diagram, a total of 146 DEGs were detected across all three pairs of developmental stages
    2.“Carbohydrate transport and metabolism” was represented by only 585 unigenes (i.e., 7% of the annotated COG).
    3.Unigenes successfully annotated to the GO database were classified into three principal categories for the three different stages of bulb development. Most represented in the “biological process” principal category were “metabolic process”, followed by “cellular process”. In the principal category of “molecular function” the two categories most represented were “binding” and “catalytic activity”.

    PB-full-length-RNA-Sequencing-case-study

    Histogram of clusters of orthologous groups (COG) classification

    PB-full-length-RNA-Sequencing-case-study

    Histogram of gene ontology (GO) classification for unigenes derived from bulbs in three developmental stages

    PB-full-length-RNA-Sequencing-case-study

    Venn diagram showing genes differentially expressed in any two stages of onion bulb development

    Reference

    Zhang C,  Zhang H ,  Zhan Z , et al. Transcriptome Analysis of Sucrose Metabolism during Bulb Swelling and Development in Onion (Allium cepa L.)[J]. Frontiers in Plant Science, 2016, 7:1425-. DOI: 10.3389/fpls.2016.01425

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