I am obsessed with various state-of-the-art high-throughput transcriptome profiling techniques, and devote myself to integrate different computational analysis methods with molecular biology experiments to solve some important and interesting biological questions concerning the complexity of human gene regulation network.

Circular RNAs

Circular RNAs, as a newly emerging RNA species, have been identified in multiple species and different cell lines. But knowledge of their biogenesis machinery has remained limited. My work revealed some novel biogenesis clues for two distinct types of circular RNAs. One type of circular RNAs is derived from excised introns (circular intronic RNAs), and we discovered their processing depends on a consensus motif containing a 7 nt GU-rich element near the 5’ splice site and an 11 nt C-rich element close to the branchpoint site (Mol Cell, 2013). Another type of circular RNAs is from back-spliced exons (exonic circular RNAs), and we demonstrated that exon circularization is dependent on flanking intronic complementary sequences (e.g. IRAlus) and the efficiency of exon circularization can be regulated by competition between RNA pairing across flanking introns or within individual introns (Cell, 2014). Detailed study in multiple cell lines revealed that alternative back-splice site selection was correlated with the competition of putative RNA pairs across introns that bracket alternative back-splice sites, and alternative back-splicing were highly diverse among the examined cell lines (Genome Res, 2016).

  • Zhang Y*, Zhang XO*, Chen T, Xiang JF, Yin QF, Xing YH, Zhu S, Yang L†, Chen LL†. Circular intronic long noncoding RNAs. Mol Cell. 2013, 51:792-806. Paper GitHub
  • Zhang XO*, Wang HB*, Zhang Y, Lu X, Chen LL†, Yang L†. Complementary sequence-mediated exon circularization. Cell. 2014, 159:134-147. Paper GitHub
  • Zhang XO*, Dong R*, Zhang Y*, Zhang JL, Luo Z, Zhang J, Chen LL†, Yang L†. Diverse alternative back-splicing and alternative splicing landscape of circular RNAs. Genome Res, 2016, 26:1277-1287. Paper GitHub

Alternative Splicing

Alternative splicing allows exons to be joined in different variations to form alternative transcripts, which greatly increases the diversity of transcriptome encoded by a limited number of genes. My projects mainly focused on how alternative splicing contribute to the regulation of protein-coding genes and long noncoding RNAs (lncRNAs). By exploring non-polyadenylated transcriptomes, one new type of lncRNAs with snoRNA on their ends (snoRNA-related lncRNAs, sno-lncRNAs) were identified from multiple species, and we revealed that the expression of sno-lncRNAs is species-specific and that their processing is closely linked to alternative splicing of their parent genes (BMC Genomics, 2014). Alternative splicing analysis of non-polyadenylated transcriptomes also helps us to systematically annotated different types of alternative alternative splicing events in circRNAs from various cell lines, and many known or novel exons were predominantly spliced in circRNAs (Genome Res, 2016). Recursive splicing (RS) is an evolutionarily conserved process of removing long introns via multiple steps of splicing. After systematically characterizing 342 RS sites in three human cell types, we found that half of the RS events occurred post-transcriptionally with long delays, and these introns could be removed by both recursive splicing and canonical splicing with cell type specificity (PLoS Genet, 2018).

  • Zhang XO*, Yin QF*, Wang HB, Zhang Y, Chen T, Zheng P, Lu X, Chen LL†, Yang L†. Species-specific alternative splicing leads to unique expression of sno-lncRNAs. BMC Genomics. 2014, 15:287. Paper
  • Zhang XO*, Dong R*, Zhang Y*, Zhang JL, Luo Z, Zhang J, Chen LL†, Yang L†. Diverse alternative back-splicing and alternative splicing landscape of circular RNAs. Genome Res, 2016, 26:1277-1287. Paper GitHub
  • Zhang XO, Fu Y, Mou H, Xue W, Weng Z†. The temporal landscape of recursive splicing during Pol II transcription elongation in human cells. PLoS Genet, 2018, 14:e1007579. Paper


I also enjoy involving in the open source community and
contributing to push forward the application of open source softwares
in computational biology.