Whole-genome landscapes of 1,364 breast cancers https://t.co/S61SlixAHu

2025: research in review https://t.co/36ShziKQS4

Pooled genetic CRISPR screening is improved in complex models through leveraging internal controls https://t.co/EWXKKAHDOr https://t.co/1EeiRTfh8h

p53 mutations are found in 36% of tumors and contribute to the development and progression of cancer. We have tried to develop anti-cancer therapies against p53 mutant tumors before but have been unsuccessful (see https://t.co/FWch4Q7WAG). In a recent paper, @Sadagopan_A,

The model of gene expression taught in school is highly misleading! Transcription factors are proteins that bind to DNA and then help repress, or activate, the expression of genes. Cells have hundreds of different types of transcription factors, each tuned to regulate different

This paper is an absolute masterclass in pancreatic neuroendocrine neoplasms and a great one to keep going back to- highly recommend! https://t.co/OVASBVnLGb

This is brilliant. I didn't know such a technique existed. An example of how scientific breakthroughs are led by the invention of new methods.

An antibody-drug conjugate (ADC) is a complex molecule designed to target and destroy cancer cells through the transport & delivery of chemotherapy.

Today in @Nature we report a new prime editing strategy that can rescue a common cause of many genetic diseases in a disease-agnostic manner. This approach converts a redundant endogenous tRNA into an optimized suppressor tRNA, enabling a single prime edit to rescue premature

GeneRanger is a web-server application that provides access to processed data about the expression of human genes and proteins across human cell types, tissues, and cell lines from several atlases. https://t.co/g8Z01tx5jO

Excited to introduce CRISPR-All! – a flexible, high-throughput framework that combines virtually any perturbation modality (CRISPRko, CRISPRi, CRISPRa, shRNA, knock-in, base/prime editing, etc.) in the same cell, at scale. Paired with single-cell RNA-seq @10xGenomics and rich

CyteType: Multi-agent AI enables evidence-based cell annotation in single-cell transcriptomics https://t.co/0SUBnHmw8r

🚀 Prophet v3 is out! AI that predicts how cells respond to genetic & chemical perturbations across readouts. Now scales to 1.9 M molecules + in vitro validation of melanoma-specific hits 🧬💊 📄 https://t.co/JTd0VQUXls #AI #Biology #DeepLearning

Proud to share that our staff published 44 papers in Sept, including in @NEJM, @TheLancet, @JAMASurgery, and @JCO_ASCO, advancing India’s and the world’s fight against cancer through research and collaboration. @ACTREC_TMC @TMC_Varanasi @CRI_ACTREC @HBCHRC_Punjab @HBCHRCVIZAG

A gene program dictionary of human cells https://t.co/UQtaPFxbc5

🤔How do you design a promoter for stable titration of expression? 💡Try programmable promoter editing with DIAL! 📰Now published at @NatureBiotech 🧵 [1/n] 🔗 below

📢 Excited to share the latest from our lab: we discovered a new synthetic-lethal vulnerability in cancer cells with APOBEC3A activity and its underlying mechanism 🔧🧩 -APOBEC3A induces DNA double-strand breaks🧬✂️🧬 - APOBEC3A shifts double-strand DNA break repair towards

Predicting drug responses of unseen cell types through transfer learning with foundation models https://t.co/jvza2nbpA9

Our team designed a “dual-warhead” drug that links platinum to doxorubicin to tackle one of cancer’s toughest problems — chemoresistance. It keeps chemo inside cancer cells longer and boosts effectiveness. 🔗

Are you a PhD student interested in machine learning and biology or health? Come do an internship with me, @avapamini, @alexijielu, @lorin_crawford, or Kristen Severson at @msrne! Applications are due Dec 1: make sure you include a research statement! https://t.co/HfyZshDtof