Full transcriptome high-throughput sequencing, using ribosomal chain-specific library building method and small fragment enrichment screening method, can realize the database construction, sequencing, information analysis and joint analysis of coding RNA and non-coding RNA, ceRNA, etc., so as to quickly, comprehensively and accurately obtain all the data and information of large RNA transcripts related to specific biological processes (such as development, disease, etc.). This study extends the study of regulation mechanism to the three-dimensional model of "net, multi-level", which is helpful to the relatively comprehensive interpretation of biological phenomena.
Recommended scheme
1) economical model-sequencing of two libraries: LncRNA-Seq + Small RNA.
Large RNA study: using LncRNA-Seq sequencing mode, that is, using ribosomal chain specific library construction mode, PE100 sequencing mode, 10G Clean data; to achieve lncRNA, mRNA, circRNA identification and quantitative, as well as functional analysis;
Small RNA study: using the method of enriching small RNA fragments to build the library, carrying out directional SE50 sequencing mode, 20m clean reads, to realize miRNA, siRNA and piRNA identification and quantification, as well as functional analysis.
2) High capacity mode-sequencing of three libraries: LncRNA-Seq+ Small RNA+ CircRNA.
Large RNA study: using LncRNA-Seq sequencing mode, that is, using ribosomal chain specific library construction mode, PE100 sequencing mode, 10G Clean data; to achieve lncRNA, mRNA, identification and quantitative, and functional analysis;
The study of circular RNA: the method of removing linear RNA, and reverse enrichment cyclic RNA was used to build the database, PE100 sequencing mode was used, and high-depth sequencing of circular RNA was performed by 10G clean data, to realize the identification, quantitative and functional analysis of circular RNA with low abundance.
Small RNA study: using the method of enriching small RNA fragments to build the library, carrying out directional SE50 sequencing mode, 20m clean reads, to realize miRNA, siRNA and piRNA identification and quantification, as well as functional analysis.
The above two models can also realize the interaction network analysis of large RNA and small RNA, as well as endogenous competitive RNA identification and network analysis.
Full set of standard analysis.
Quantitative and differential expression analysis, structure analysis and functional enrichment analysis of mRNA, lncRNA, circRNA and small RNA.
Omni-directional correlation analysis.
Target genes of differentially expressed ncRNA intersected with differentially expressed mRNA; functional enrichment analysis of overlapping genes; regulatory network of mRNA and ncRNA
Product advantage
The database construction process is stable, the technical repeatability is high, and the minimum starting amount of, total RNA for various types of samples is as low as 400ng.
It includes RNA interaction model and ceRNA competitive network analysis, which extends from plane regulation to stereo regulation.
Adopt Dr.Tom multi-group data mining system, 10 database annotations, multi-dimensional result picture display, data chart circular mining;
The experimental operation and information analysis operation adopt omni-directional and cash quality management system standards.
Figure 1. Transcriptome analysis of cells (Anuj Srivastava, et al, 2019)
Sample specification
Creative Proteomics, Negative Regulatory Association of miRNA-Transcriptomics "comprehensive attack", but also a full-length transcriptome sequencing necessary products, a full range of transcriptome sequencing services, for you to solve a variety of biological problems, to meet your diversified scientific research needs!
* For Research Use Only. Not for use in the treatment or diagnosis of disease.
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