This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Aibar, S., González-Blas, C.B., Moerman, T., Huynh-Thu, V.A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.C., Geurts, P., Aerts, J., et al. (2017). SCENIC: single-cell regulatory network inference and clustering. Nat Methods 14, 1083–1086.
Chen, G., Ning, B., and Shi, T. (2019). Single-cell RNA-Seq technologies and related computational data analysis. Front Genet 10, 317.
Huang, Y., and Sanguinetti, G. (2017). BRIE: transcriptome-wide splicing quantification in single cells. Genome Biol 18, 123.
Lee, Y., and Rio, D.C. (2015). Mechanisms and regulation of alternative pre-mRNA splicing. Annu Rev Biochem 84, 291–323.
Segerstolpe, Å., Palasantza, A., Eliasson, P., Andersson, E.M., Andréasson, A.C., Sun, X., Picelli, S., Sabirsh, A., Clausen, M., Bjursell, M.K., et al. (2016). Single-cell transcriptome profiling ofhuman pancreatic islets in health and type 2 diabetes. Cell Metab 24, 593–607.
This work was supported by the National Natural Science Foundation of China (31771460, 31671377) and the National Key Research and Development Program of China (2016YFC0902100).
Compliance and ethics The author(s) declare that they have no conflict of interest.
Electronic supplementary material
About this article
Cite this article
Li, Y., Chen, J., Xu, Q. et al. Single-cell transcriptomic analysis reveals dynamic alternative splicing and gene regulatory networks among pancreatic islets. Sci. China Life Sci. 64, 174–176 (2021). https://doi.org/10.1007/s11427-020-1711-x