2018 September: Rui, Xu-Kai, Guo-Wei and Li have contributed a database article in Genomics Proteomics Bioinformatics. Congratulations to Rui, Xu-Kai, Guo-Wei and Li.
2018 August: Ying, Jia and Li have contributed an article in Nat Biotechnol. Congratulations to Ying, Jia and Li.
2018 August: Zheng and Li have contributed an article in PLoS Biol. Congratulations.
RNA regulation has important roles in shaping cell fate and organism development, functioning to diversify genetic outputs and providing multiple regulatory layers at which gene expression can be finely controlled. Our earlier studies have characterized new types of structured lncRNAs, including nonpolyadnylated sno-lncRNAs and circular RNAs from excised introns or back-spliced exons, as well as polyadnylated lncRNAs such as 5' snoRNA capped, 3' polyadenylated lncRNAs (SPAs). In addition to studies of lncRNAs, we have revealed a previously underappreciated interplay between m6A modification and A-to-I editing, highlighting a complex epitranscriptomic landscape. Very recently, with developed high-throughput methods in the lab, we have collaborated to identify the mutagenesis induced by APOBEC3 in the repair of CRISPR/Cas9-generated DNA breaks and to set up a spectrum of CRISPR/Cas-based base editing systems (e.g. Cas9-eBEs, Cpf1-BEs and hA3A-BEs).
These recent progresses inspire us to continue deciphering the complex regulation at multiple levels. For example, what are the structures of lncRNAs/circular RNAs and how these structures determine functions? How do lncRNAs/circular RNAs incorporate into biological pathways? What are the features and roles of lncRNAs/circular RNAs in multiple subcellular bodies? In addition, complex regulation networks among epitranscriptomics are needed to be further investigated. To address these questions, we are carrying out a series of work to focus on decoding the regulatory network of lncRNAs/circular RNAs across species. We will further improve computational algorithms for lncRNA/circular RNA identification and functional analyses. With the application of high-throughput screening of associated protein factors, we are in the progress of systematical profiling various lncRNA/circular RNAs associated proteins. We are also performing structure prediction by taking advantage of the state-of-art technologies including SHAPE-MaP to resolve RNA secondary structure of lncRNAs/circular RNAs and to link structures with functions. In summary, we focus on developing and applying novel computational and experimental methodologies to decipher the complex gene expression regulation at the genome-wide level.
Collaborators & Supports
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