Tito

(植物)(エピ)遺伝学/個人の意見です/(Plant) (epi)geneticist/Tweets my own

[Nature Reviews Genetics @NatureRevGenet]

New online! Endogenous retroviruses in development and cell fate specification https://t.co/ACDfXdgROD

[大阪大学 @UOsaka_ja]

【研究】 細胞が「右利き・左利き」になるメカニズムを解明 https://t.co/tWKP0y9jKb #阪大 #リリース

[Tito @tito_tasks]

Evolution of transposons as controlling elements https://t.co/c20W0AUxDB

[Trends in Genetics @TrendsGenetics]

Rethinking evidence for epigenetic inheritance in human research https://t.co/rlWxXbd2sl

[Nature Biotechnology @NatureBiotech]

Mechanistic machine learning for prediction of prime editing outcomes https://t.co/lTPHwXD1Uh

[Nature Biotechnology @NatureBiotech]

Simultaneous single-cell profiling of chromatin, transcriptome and surface markers with OneCell CUT&Tag captures epigenomic reprogramming https://t.co/Q3C5V1stGS

[Cell @CellCellPress]

In the latest issue! Photosynthetic medicine: Engineering a plant-derived nanofoundry to power mammalian cells https://t.co/L6JlJfudZL

[Jure Leskovec @jure]

Excited to share that our Universal Cell Embedding (UCE) paper is published in @Nature ! Single-cell RNA sequencing data gives us an unprecedented look into the diversity of cell biology, but analysis has often been limited to the specific dataset or atlas that was collected.

https://t.co/FmH1WDd23F

[武田紘樹 @tomatoha831]

普通に疑問なんですが、今いる高度人材を活かせていない国がたくさんの高度人材を作り出して何をするんですか？ドッジボールですか？

[Nature Reviews Drug Discovery @NatRevDrugDisc]

For readers interested in therapeutic epigenetic editing, which aims to reprogramme gene expression by rewriting epigenetic signatures without editing of the genome, here's a comprehensive review https://t.co/O7Ps5IKptM
https://t.co/zRdpy2otFL

[Tito @tito_tasks]

Wow🎉

[Mobile DNA @MobDNAjournal]

Exciting update!

Repbase and Dfam are being unified into a single, fully open access framework, with Repbase released under CC-0 and its core curation team joining the Dfam project.

Read about this update in a newly published comment in Mobile DNA
https://t.co/0GrilZvJ6P

[Mobile DNA @MobDNAjournal]

Exciting update!

Repbase and Dfam are being unified into a single, fully open access framework, with Repbase released under CC-0 and its core curation team joining the Dfam project.

Read about this update in a newly published comment in Mobile DNA
https://t.co/0GrilZvJ6P

[Nature Reviews Physics @NatRevPhys]

Data-driven discovery of dynamical models in biology https://t.co/dNoqP4hAJq

[Bioinformatics Advances @BioinfoAdv]

⚡ Just published in Bioinformatics Advances: "Efficient lossless compression of nanopore sequencing signals" 

Find the full paper at: https://t.co/NGiPvzbwpi

[エンジニアM @Mates_ENGINEER]

Sakana AI だの Fugu だの聞いてから、漁師コンピュータって言葉が頭を離れなくて辛い。

[Kye Gomez (swarms) @KyeGomezB]

AGI has an assembly index.

In assembly theory (Sharma, Czégel, Lachmann, Kempes, Walker & Cronin, Nature 2023), the assembly index a of an object is the minimum number of recursive joining operations required to construct it from a basis set of elementary parts, where each intermediate is reusable once formed.

The framework was developed to distinguish biotic from abiotic matter: empirically, molecules with a ≳ 15 are not produced by undirected chemistry at detectable abundance, and their occurrence is treated as evidence of an underlying selection process a causal history capable of preserving and recombining intermediates.

The index is thus not a measure of static complexity but of contingent depth: the length of the shortest causal chain compatible with the object's existence.

A thread 🧵⬇️

[Gözde S. Demirer @Demirer_GozdeS]

Targeted DNA insertion remains a major bottleneck in plant engineering. We developed the R2 retrotransposon as an efficient plant genome editor to precisely insert large DNA payloads at targeted sites:
https://t.co/P0dB1cDn9W

Congratulations to @kimuchenje03 and the team!
🧵👇

[Trends in Genetics @TrendsGenetics]

A role for epigenetics in rapid adaptation https://t.co/quy3IxKYmu

[サクセスリバーコーテシーinエイトプリンス @rei_nari]

昨年の講義の時には気づかなかったのだけれど、2024年末に無事、カツオゲノムの論文が出版されていて、こちらのお弁当の食材全て、ゲノムが解読されたことになったので、明日の講義資料を更新☆

https://t.co/zNE86LeDHN

[marek mutwil 🇺🇦 @LabMutwil]

1/RNA-seq accurately measures gene expression changes, right?
Wrong.

When a stress shuts down much of the transcriptome, standard analysis can report the OPPOSITE of what is happening. Our new paper fixes it, and saves money on the way. 🧵