@rod1cat Entre trens que desapareixen i la resta que va tard... Sense informar, no sigui cas que féssiu la vostra feina de tant en quant. No teniu vergonya.
@rod1cat Per què només pasen trens curts (tot el sentit a l'estiu eh) cada 15min amb final a Mataró per St.Adrià? I els que arriben, impossible de pujar perquè van a petar... Vergonya us hauria de fer aquest servei lamentable.
@rod1cat@govern@rodalies Anem com anoxes en el tren direcció Calella (curt!)! Podrieu posar trens llargs i no només acumular retrassos? La freqüència ja es queda curta de normal, a l'estiu és totalment insuficient. Vergonya us hauria de fer 😡
Today is the last day of the ROPES summer school at @CRGenomica. @AnnaDelgadoT from @NovoaLab is introducing Master of Pores 2: a suite for analysing nanopore data. A collaboration with @biocorecrg
Want to hear about our new method Nano-tRNAseq published recently in @NatureBiotech? @MorghanLucas will present it online at the next @EUSynBioS seminar on April 27th at 16:00 CET 🙌 Register through the QR code or here: https://t.co/fsYXRZP6Lz
Happy to share our preprint on using native RNA nanopore sequencing to reveal antibiotic-induced loss of rRNA modifications. https://t.co/DoqODA19at 🧵
#nanopore#antibiotics#epitranscriptome
Our work reveals that rRNA modification profiles can be rapidly altered in response to environmental exposures, and that nanopore sequencing can accurately identify dysregulated rRNA modifications, contributing to the mechanistic dissection of antibiotic resistance. 🦠💊
We then systematically examined whether loss of "antibiotic-sensitive" rRNA modifications may be sufficient to confer antibiotic resistance, finding that depletion of some rRNA modification enzymes guiding dysregulated rRNA modifications confers increased antibiotic resistance.
We found that significantly altered rRNA modified sites upon antibiotic exposure are located in the vicinity of the A and P-sites of the ribosome, possibly contributing to antibiotic resistance.
NanoConsensus is robust across RNA modification types, stoichiometries and coverage, and outperforms all individual algorithms tested. We identified multiple rRNA modifications that are lost upon the presence of antibiotics in an antibiotic-specific manner.
To identify rRNA modification changes, we developed NanoConsensus, a pipeline that integrates the estimates from multiple RNA modification detection algorithms, predicting differentially modified rRNA sites with very low false positive rates and high replicability.