Whole transcriptome sequencing, based on next-generation sequencing (NGS) platforms, simultaneously analyzes mRNA, lncRNA, microRNA, and circRNA from a single sample. This approach provides a comprehensive analysis of expression differences across various RNAs and their interactive regulatory networks. It is widely applied in research on immune mechanisms, diseases, developmental evolution, pathogenesis, and drug target discovery.
Technical Workflow
1. Data Richness
By constructing just two types of libraries, this method simultaneously analyzes information for four RNA species. This not only conserves precious sample material but also enhances the comparability of research results by using the same batch of samples.
2. Expanded Options for Target Gene Discovery
This approach offers more choices for identifying target genes while helping to narrow down the screening scope. It enables pairwise association analysis and complex ceRNA regulatory network analysis (involving multiple factors). This not only elucidates the network regulatory mechanisms underlying biological phenomena but also facilitates the mining of key genes by refining the candidate list.
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