Cell Systems

Multiome Perturb-seq unlocks scalable discovery of integrated perturbation effects on the transcriptome and epigenome

多组学扰动测序解锁对转录组和表观基因组的综合扰动效应的可扩展发现

Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells.

Integrated multi-omic characterizations of the synapse reveal RNA processing factors and ubiquitin ligases associated with neurodevelopmental disorders.

Machine-guided dual-objective protein engineering for deimmunization and therapeutic functions.

A continuous epistasis model for predicting growth rate given combinatorial variation in gene expression and environment

考虑到基因表达和环境的组合变化，预测生长率的连续上位性模型

Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter

使用基于相分离的荧光报告器简单可视化亚微观蛋白质簇

Optimized reporters for multiplexed detection of transcription factor activity

优化的报告基因，用于多重检测转录因子活性

Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy

整合多重成像和多尺度建模可确定肿瘤表型转化是治疗性 T 细胞疗效的关键组成部分

Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells

回顾性鉴定标记稀有体细胞多能性潜能的细胞内在因素

Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework.