🧬 Un codice RNA rivela legami finora invisibili tra virus e batteri, aprendo nuove piste per capire ecosistemi, evoluzione e salute. #RNA #Microbiologia

🔗 https://www.tomshw.it/scienze/un-codice-rna-svela-i-legami-nascosti-tra-virus-e-batteri

Un codice RNA svela i legami nascosti tra virus e batteri

Uno studio su Nature Communications presenta un barcoding RNA che traccia quali batteri ricevono DNA dai fagi, anche nelle acque reflue di Houston.

Tom's Hardware

And to think this kind of full-speed cellular activity happens continuously in every one of us...

https://www.youtube.com/watch?v=7Hk9jct2ozY

#Biology #Cells #DNA #RNA #Nature #Science #Genetic

DNA animation (2002-2014) by Drew Berry and Etsuko Uno wehi.tv #ScienceArt

YouTube

Ribosome pausing, ribosome drop-off, an interesting study in the links between codons and translation in S. cerevisiae:

https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1012162

#science #ribosome #rna #codons

The importance of nonsense errors: Estimating the rates and implications of ribosome drop-off during protein synthesis

Author summary The process of translating mRNA into a protein is both energetically expensive and relatively error-prone. As such, natural selection is thought to shape the evolution of protein-coding genes to reduce the cost of these errors when they occur. Nonsense errors (NSEs) occur when a ribosome stops translation before completing a functional protein, resulting in wasted energy on a non-functional product. Despite their functional consequences, NSEs and their effects on coding sequence evolution are generally understudied compared to other types of translation errors. This is in part due to the challenge of quantifying these errors from omics-scale data. We present a model for quantifying codon-specific estimates of elongation and NSE rates from ribosome profiling data, which gives a snapshot of the actively translating ribosomes in a cell. Although it is well-established that sense codons vary in their elongation rates, we find evidence that codons also vary in their NSE rates. Using our parameter estimates, we find multiple lines of evidence for selection against NSEs shaping patterns of codon usage bias. Our results suggest the cost of NSEs is comparable to the cost of ribosome pausing, and thus may play a greater role in coding sequence evolution than previously appreciated.

Astronomen vinden een suiker in de ruimte
De ruimte tussen sterren lijkt misschien een dorre woestijn maar de afgelopen decennia hebben wetenschappers er allerlei interessante chemische stoffen
#DNA #erythrulose #iram #rna #ruimte #suiker
https://www.kuuke.nl/astronomen-vinden-een-suiker-in-de-ruimte/

🧬 Una nuova scoperta sull’RNA ridefinisce il nostro sguardo sulle proteine: la biologia rivela connessioni inattese e apre nuove domande. #RNA #Proteine

🔗 https://www.tomshw.it/scienze/rna-trucco-piegare-proteine

Una scoperta sull’RNA cambia il modo in cui guardiamo alle proteine

Uno studio su Cell mostra che la coda degli RNA messaggeri aiuta oltre 2.700 geni umani a produrre proteine funzionali, non solo istruzioni.

Tom's Hardware

ヒトの始まりに「古代ウイルスの声」が必要だったと判明
https://nazology.kusuguru.co.jp/archives/196109

#nazology #生物学 #DNA #RNA #ウイルス #遺伝子

ヒトの始まりに「古代ウイルスの声」が必要だったと判明 - ナゾロジー

中国の浙江大学(ZJU)を中心とする研究チームによって、受精卵が初めて自分自身の遺伝子を起動する瞬間に、太古のウイルスの残骸が欠かせない役割を果たしていたことが明らかになりました。 研究では、このウイルス配列の働きを実験で止めると、胚が正常に育つ割合は47%からわずか16%にまで激減することも示されています。 しかし、なぜヒト受精卵は最も重要な瞬間を、古代ウイルスに頼っていたのでしょうか? 研究内容の詳細は『Science』にて発表されました。 目次 胚の「自立の瞬間」にはウイルス由来RNAが必要だった古代ウイルスの遺物がヒトの始まりを支えていたなぜヒトの始まりを古代ウイルスの残骸に任…

ナゾロジー

RNA se přiblížila schopnosti samokopírování. Klíč k pochopení vzniku života?

Vědci se opět přiblížili odpovědi na jednu z nejzásadnějších otázek vědy: jak vznikl život na Zemi. Nový experiment ukazuje, že i velmi jednoduché RNA molekuly mohou mít schopnost téměř se samy kopírovat, což posiluje teorii tzv. RNA světa.

https://pepikhipik.com/2026/06/09/rna-se-priblizila-schopnosti-samokopirovani-klic-k-pochopeni-vzniku-zivota/

ヒト受精卵の遺伝子編集で有望な成果が報告された――最高の赤ちゃんにどこまで迫れるか?
https://nazology.kusuguru.co.jp/archives/196043

#nazology #生物学 #DNA #RNA #遺伝子

ヒト受精卵の遺伝子編集で有望な成果が報告された――最高の赤ちゃんにどこまで迫れるか? - ナゾロジー

アメリカのコロンビア大学(Columbia)で行われた研究により、ヒト受精卵のDNAを書き換える遺伝子編集で、有望な成果が報告されました。 従来の遺伝子編集は、誕生後の人間を対象とする遺伝子治療には使えても、受精卵の段階で行うと「大失敗」を起こし、染色体が大きく壊れてしまうことが知られていました。 しかし今回の研究ではDNAの遺伝暗号を1文字単位で精密に書き換える技術が使用され「染色体がボロボロになる」惨状が起きなかったのです。 今回の成果により、受精卵のより安全な遺伝子編集に向けて大きな一歩を踏み出したことになります。 研究内容の詳細は2026年6月1日にプレプリントサーバー『bioRxi…

ナゾロジー

Pipeline release! nf-core/rnavar v1.3.0 - nf-core/rnavar 1.3.0 - Silent Nostromo!
gatk4 RNA variant calling pipeline
Please see the changelog: https://github.com/nf-core/rnavar/releases/tag/1.3.0

#gatk4 #rna #rnaseq #variantcalling #worflow #nfcore #openscience #nextflow #bioinformatics

Release nf-core/rnavar 1.3.0 - Silent Nostromo · nf-core/rnavar

What's Changed back to dev by @maxulysse in #284 CHORES: Update all modules and subworkflows by @maxulysse in #287 Modules/subworkflows update by @maxulysse in #288 update modules and subworkflows...

GitHub

Pipeline release! nf-core/rnafusion v4.1.3 - 4.1.3!
RNA-seq analysis pipeline for detection of gene-fusions
Please see the changelog: https://github.com/nf-core/rnafusion/releases/tag/4.1.3

#fusion #fusiongenes #genefusion #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics

Release 4.1.3 · nf-core/rnafusion

What's Changed Fusionreport Fixes (Cosmic etc pp) by @apeltzer in #815 make fasta input of star a value channel by @nvnieuwk in #816 Bump 4.1.3 by @apeltzer in #818 PR for 4.1.3 release by @apelt...

GitHub