Jialei Duan

知君仙骨无寒暑，千载相逢犹旦暮。

[Jialei Duan @jlduan]

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[Jun Wu Lab @leo_jwu]

We are excited to share our work on human blastoids as a model of pre- and peri-implantation human development (@leo_jwu, @hon_lab, @leqianyu, @Yyyyyy1005，@jlduan).
Article: https://t.co/eVsABEPCES News and Views: https://t.co/cCjMPlY2lU (1/10)

[Jialei Duan @jlduan]

Scientists flock to DeepSeek: how they’re using the blockbuster AI model https://t.co/31me61PKsR

[Nature Biotechnology @NatureBiotech]

A community effort to optimize sequence-based deep learning models of gene regulation https://t.co/g9CvuyLa0Q

[Nature Reviews Drug Discovery @NatRevDrugDisc]

FDA new drug approvals in Q3 2024
https://t.co/BV4tN4Y3Hr

Several of the products approved in the the last quarter are expected to become blockbusters, including Cobenfy for schizophrenia, Kisunla for Alzheimer disease and Ebglysss for atopic dermatitis

[Charles Gersbach @cgersbach]

Epigenome editing is transforming biological sciences and medicine. We're grateful for the opportunity to publish this review of the field in @NatureBiotech. Check it out here: https://t.co/oy5RV5IKgY

[dana_peer @dana_peer]

Excited to share our pre-print, spearheaded by @DoronTheViking (who did a phenomenal job, great fun to have grad students come up with the best ideas) providing a way to integrate scRNA-seq and spatial transcriptomics that fully utilizes spatial context https://t.co/e2cJa8RpF4

[Nature Biotechnology @NatureBiotech]

Zinc finger design is facilitated with a deep-learning model https://t.co/k12YlQVhrd

[Nature Biotechnology @NatureBiotech]

Data sharing in the age of deep learning
How can we protect personal information and the integrity of artificial intelligence models when sharing data? https://t.co/dtHQzqDqZS

[Charles Swanton @CharlesSwanton]

Excited to share our TRACERx nature publication on circulating tumor DNA (#ctDNA, #MRD) detection in resectable lung cancer led by @AbboshChris, @Afrankell, @juditkisistok, Thomas Harrison, Aaron Garnett, @nbirkbak and @NickyMcGranahan 👇👇👇 Tweetorial🧵

https://t.co/FqXgH882cf

[Morghan Lucas @MorghanLucas]

Thrilled to share our new method, Nano-tRNAseq, a @nanopore direct #RNA sequencing approach that simultaneously quantifies tRNA abundances and modifications. If you’re interested in sequencing other small RNA types with nanopore, this method might interest you 1/ 🧵

[Nature Biotechnology @NatureBiotech]

A relay velocity model infers cell-dependent RNA velocity https://t.co/3iScUn4rtQ

[Rahul Satija @satijalab]

We are excited to introduce Phospho-seq, our approach for profiling intracellular protein and cell signaling dynamics alongside additional molecular modalities in single cells!

Check out @JBlairSci's preprint at https://t.co/LANumW2Ko4

[Coon Lab @Coon_Labs]

@TheCoxLab and @Coon_Labs scientists succeeded in developing a new method to generate a more detailed #proteome than ever before, providing insights into how #GeneticVariants and #SpliceVariants in humans impact the proteome.

Published in @NatureBiotech
https://t.co/QZmAEQQRFw

[Nature Portfolio @NaturePortfolio]

A study in @NatMetabolism demonstrates that loss of PCYT2-synthesized phosphatidylethanolamines in muscle impairs sarcolemmal lipid bilayer stability and mitochondrial homeostasis, leading to muscle degeneration and premature ageing in mice. 🔒 https://t.co/vjqYxI4RZa

[Jialei Duan @jlduan]

Strife at eLife: inside a journal’s quest to upend science publishing https://t.co/M0TubHdJIR

[Johnny Israeli @johnny_israeli]

Unveiled today at @nvidia's GTC- significant expansion of our #BioNemo cloud service for LLMs and Generative AI for Life Sciences R&D.
https://t.co/DasTh6UtNH

Honored to work with so many brilliant individuals and teams across Nvidia to build these technologies.

[Jialei Duan @jlduan]

Inheritance of epigenetic DNA marks studied in new mouse model https://t.co/AJrswH18Cx

[Nature Nanotechnology @NatureNano]

New content online: High-throughput manufacturing of epitaxial membranes from a single wafer by 2D materials-based layer transfer process https://t.co/G5EEDOlqQ4

[Rahul Satija @satijalab]

Two new preprints for performing differential expression across conditions in scRNA-seq data, *without* having to call clusters first:

1. LEMUR (from @const_ae @wolfgangkhuber): https://t.co/JrcY0QBxHI

2. miloDE (from @Alsu_Troost @MarioniLab): https://t.co/NGZ13YQPne