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"Capture of the newly transcribed RNA interactome using click chemistry"

"Capture of the newly transcribed RNA interactome using click chemistry"

Event Date
4 June 2018 - 12:00 to 13:00
SCRM Seminar Room
Speaker Name
Miguel Esteban
Speaker Organisation
Institute of Stem Cell & Regenerative Medicine, Guangzhou Institutes of Biomedicine & Health, Chinese Academy of Sciences

Short bio:

Miguel Esteban got his M.D. from University of Navarra in Spain and is specialized in Clinical Immunology. He gained his PhD in Biochemistry and Molecular Biology from University Autonoma during his clinical training at Hospital de la Princesa in Madrid, and then moved to the Imperial College lab of Patrick Maxwell for his postdoc on oxygen sensing pathways. He runs his lab at the Guangzhou Institutes of Biomedicine and Health since 2008, where he focuses on integrating RNA and chromatin biology with stem cells. He was the first non-Chinese origin scientist leading the 973-funding program of the Ministry of Science and Technology of China, and in 2017 was recipient of the Outstanding Science and Technology Award of the Chinese Academy of Sciences.


The pulldown of synthetic nucleoside analogs incorporated into nascent RNAs, followed by high throughput sequencing, has been used to study key features of gene transcription. Whether similar approaches can be adapted to isolate the RNA-bound proteome was, however, unexplored. I will present a methodology (capture of the newly transcribed RNA Interactome using ClicK chemistry; RICK) based on the labeling of newly transcribed RNAs with 5-ethynyluridine that systematically captures proteins bound to a wide range of RNAs including nascent RNAs and traditionally neglected non-polyadenylated RNAs. RICK has identified mitotic regulators amongst other novel RNA-binding proteins with preferential affinity for non-polyadenylated RNAs, revealed a link between metabolic enzymes/factors and nascent RNAs, and also expanded the known RNA-bound proteome of mouse embryonic stem cells. Thanks to its versatility, RICK will facilitate an in-depth interrogation of the total RNA-bound proteome in different cells and systems.