Danny IncaRNAto
@incaRNAtolab
Associate Professor @univgroningen @ResearchGbb | Chief R&D Officer @serna_bio | #RNA structure ensemble dynamics | 🦋 http://incarnatolab.bsky.social
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I am so incredibly excited to share our latest work, on the exploration of #RNA secondary structure ensembles and discovery of RNA regulatory structural switches in bacteria and human cells, out today in @NatureBiotech: nature.com/articles/s4158…. A short tread! (1/n)
So excited to see this out in @NatureGenet! An amazing collaboration with the @gagneurlab I am happy I was (a small) part of... nucleotide dependencies can capture regulatory elements, including #RNA structures! Congrats to the whole team! Check it out: nature.com/articles/s4158…
CaCoFold-R3D: a probabilistic model that predicts RNA 3D motifs and secondary structure using evolutionary information. nature.com/articles/s4159…
Happy to share that we identified a conserved 17kb long-range RNA-RNA interaction in SARS-CoV-2 that impacts virus fitness. Congratulations to all the authors! nature.com/articles/s4146…
Termal: a fast and interactive terminal-based viewer for multiple sequence alignments. #MultipleSequenceAlignments #TerminalViewer #interactiveViewer #Bioinformatics @BioinfoAdv academic.oup.com/bioinformatics…
A great opportunity to work with one of the best. If you love #RNA and plants, this is for you!
Postdoctoral Researcher (Ding-Dean Group) | John Innes Centre jic.ac.uk/vacancies/post…
Excited to have this work finally published on @NatureComms. With the Trcek lab @JohnsHopkins, @silvirouskin and @ThirumalaiArmy labs, we show that RNA structure impedes intermolecular base pairing in germ granule. nature.com/articles/s4146…
I'm excited to share our new preprint on LagTag, a method that recovers both past and present chromatin states from the same mammalian cells. biorxiv.org/content/10.110…
New online! Structural insights into higher-order natural RNA-only multimers bit.ly/4m6opSt
Excited to share our latest work with the bullock lab! We looked at how diverse mRNAs get selected for subcellular localization and it turns out that a single protein can recognize different RNA elements using shared features that weren’t apparent before. biorxiv.org/content/10.110…
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