RNA can build cages — and now we also see how RNA can form filaments.
In our study, a 57-nt RNA motif assembles into an RNA-only filament, resolved by cryo-EM at ~2.7 Å resolution.
Excited to share our new preprint: Structural assemblies for an RNA world.
We show that short RNAs can self-assemble into protein-like architectures, including closed cages, finite oligomers, and filaments.
https://t.co/VxNMLrNOA8
Cross-species integration of single-cell RNA sequencing data just got easier!
Learn more about a new openly available pipeline that could help you identify optimal strategies for analysing single-cell RNA sequencing data across different species.
https://t.co/ffN4M6Zirm
It is a great pleasure to have Prof. Runsheng Chen as our first speaker in 2023 Guangzhou RNA club. The seminar will be held at 15:00PM 2023-01-04, available at Voov meeting: 177-967-139 and Bilibili https://t.co/0iaRqJVjwP. Thanks to Epibiotek, Benagen and RNA society.
We have two open super exciting positions in CRISPR design. Check them out here:
PhD: https://t.co/66AWh9PTTE
Postdoc: https://t.co/YCI195kFUz
Deadline: Dec. 18, 2022.
We are happy to announce that we will have a new regular puzzle (PZ38) release on 2 pm (CET/GMT+1) Wednesday 30th Nov 2022. The automatic webservers will have 48 hours for prediction, while human experts will have 3 weeks for prediction (the deadline is 21st Dec 2022.
We are happy to announce that we will have a new regular puzzle (PZ37) release at 2 pm (CEST/GMT+2) Thursday 20th Oct 2022. Please register with [email protected] if you are interested.
Are you familiar with @galaxyproject but looking to learn from the experts themselves? Join like-minded peers from 6 – 10 February and find out how to apply #Galaxy to #singlecell#RNAseq analysis.
🔗Find out more, and apply for this virtual course: https://t.co/uzkJLWp7Bv
Ribocentre is designed to contain comprehensive information of all natural ribozymes. Ribozymes are good systems for understanding the ‘sequence - structure - function’ relationship of RNA molecules.@lilley_mj
https://t.co/Ni0t1imuC0
https://t.co/f9BtTTbv5A
🔎Identifying cell types from single-cell #RNAsequencing data is now more efficient than ever, thanks to this new method from @emblebi and @sangerinstitute researchers
https://t.co/VNuLVGiyYH