
Yuri Motorin
Articles
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2 weeks ago |
nature.com | Stéphane Pelletier |Virginie Marchand |Delphine Naquin |Jessica Andreani |Yuri Motorin |Benoît Palancade
AbstractSmall nucleolar RNAs are non-coding transcripts that guide chemical modifications of RNA substrates and modulate gene expression at the epigenetic and post-transcriptional levels. However, the extent of their regulatory potential and the underlying molecular mechanisms remain poorly understood. Here, we identify a conserved, previously unannotated intronic C/D-box snoRNA, termed snR107, hosted in the fission yeast long non-coding RNA mamRNA and carrying two independent cellular functions.
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Aug 12, 2024 |
biorxiv.org | Virginie Marchand |Yuri Motorin |Sandra Gillot |Agnes Baudin-Baillieu
AbstractCellular processes are governed by the regulation of gene expression, often at the level of translation control. The mechanisms of control have been shown to operate at various levels, but there is growing evidence to suggest that rRNA modification patterns play a key role in driving translational modulation of the ribosome. We investigated the intricate relationship between modification status and the decoding activity of the ribosome.
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May 5, 2024 |
mdpi.com | Alzbeta Chabronova |Andy Cremers |Virginie Marchand |Yuri Motorin
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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Aug 29, 2023 |
dx.doi.org | Yuri Motorin |Mark E. Helm
ConspectusAmong the many analytical methods applied to RNA modifications, a particularly pronounced surge has occurred in the past decade in the field of modification mapping. The occurrence of modifications such as m6A in mRNA, albeit known since the 1980s, became amenable to transcriptome-wide analyses through the advent of next-generation sequencing techniques in a rather sudden manner.
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