Whole Transcriptome Sequencing


Whole Transcriptome is the sum of all transcript information transcribed by a specific tissue or cell in a specific state, including coding and non-coding RNA. At present, whole transcriptome sequencing mainly detects mRNA, lncRNA, microRNAs and circRNA. At the same time, four RNA levels are analyzed and competitive endogenous RNA (ceRNA) is analyzed to explore the regulatory network mechanism of potential transcription level.

Data analysis Pipeline





Technological Advantages

It can simultaneously detect mRNA, lncRNA, circRNA and microRNA, and integrate ceRNA with multiple RNA information to explore its potential regulatory network mechanism.

It can be used to analyze the regulation of ceRNA network of two or more RNA types, which helps to narrow the scope of screening and excavate key genes.

On the one hand, the sample size is saved; on the other hand, using the same batch of samples improves the comparability of research results.

On the basis of transcriptome, the research content of non-coding RNA is added, which is helpful to improve the publication level of the paper.

The experimental materials have few limitations and high cost performance, and do not need too many molecular experiments.

Biomarker Successful Cases

Through the Whole Transcriptome Sequencing, not only four kinds of RNA (lncRNA, mRNA, circRNA and microRNA) standard analysis can be obtained simultaneously, but also a co-expression regulatory network can be constructed for the regulation mechanism among the four kinds of RNA, so as to quickly find the key RNA related to phenotype concern.Since establishment 10 years ago, the Biomarker Technology has assisted clients to publish more than 50 articles, accumulated over 160 points of impact factors, and accumulated rich experience in project analysis.

[1]Systematic identification of long non-coding RNAs during pollen development and fertilization in Brassica rapa.[J]. The Plant Journal, 2018, IF=5.775.

[2]Integrated Analysis of MiRNA and Genes Associated with Meat Quality Reveals that Gga-MiR-140-5p Affects Intramuscular Fat Deposition in Chickens.[J]. Cellular Physiology and Biochemistry, 2018, IF=5.5.

[3]Identification and characterization of microRNAs in tree peony during chilling induced dormancy release by high-throughput sequencing.[J]. SCI REP-UK, 2018, IF=4.259.

[4]Characterization of Conserved and Novel microRNAs in Lilium lancifolium Thunb. by High-Throughput Sequencing.[J].SCI REP-UK,2018,IF=4.259.

[5]Genome-wide analysis of circular RNAs in bovine cumulus cells treated with BMP15 and GDF9。[J]。Scientific Reports,2018, IF=4。122。

[6]Analysis of the Coding and Non-Coding RNA Transcriptomes in Response to Bell Pepper Chilling.[J].International journal of Molecular Sciences,2018,IF=3.687.

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