生物
表型
清脆的
基因
染色质
遗传学
转录因子
计算生物学
威罗菲尼
转录组
基因表达调控
基因调控网络
RNA干扰
转录调控
黑色素瘤
基因组学
基因组
细胞命运测定
收敛演化
抄写(语言学)
功能基因组学
基因组编辑
调节顺序
突变
遗传异质性
系统生物学
调解人
调节器
癌症研究
细胞生物学
遗传筛选
作者
Zihan Xu,Ziyu Lu,Aileen Ugurbil,Abdulraouf Abdulraouf,Andrew Liao,Jianxiang Zhang,Wei Zhou,Junyue Cao
出处
期刊:Nature
[Nature Portfolio]
日期:2026-04-15
标识
DOI:10.1038/s41586-026-10367-0
摘要
High-throughput genomic studies have uncovered associations between diverse genetic alterations and disease phenotypes. However, elucidating how perturbations in functionally disparate genes give rise to convergent cellular states remains challenging. Here we present PerturbFate, a high-throughput, cost-effective, combinatorial-indexing single-cell platform that enables systematic interrogation of massively parallel CRISPR interference1 perturbations across the full spectrum of gene regulation, from chromatin remodelling and nascent transcription to steady-state transcriptomic phenotypes. Using PerturbFate, we profiled more than 300,000 cultured melanoma cells to characterize multimodal phenotypic and gene regulatory responses to perturbations in more than 140 vemurafenib resistance-associated genes. We uncovered a shared dedifferentiated cell state marked by convergent cooperative transcription factor activities across diverse genetic perturbations. We further dissected phenotypic responses to perturbations in Mediator complex components, linking module-specific biochemical properties to convergent transcriptional activations. We identified common regulatory nodes that drive similar phenotypic outcomes across distinct genetic perturbations. We also delineated how perturbations in functionally unrelated genes reshape cell state. Thus, PerturbFate establishes a versatile platform for identifying key molecular regulators by anchoring multimodal regulatory dynamics to disease-relevant phenotypes. PerturbFate is a high-throughput, cost-effective, single-cell platform that systematically profiles CRISPR interference perturbations to reveal common regulatory nodes and convergent phenotypic states across diverse genetic alterations linked to vemurafenib resistance in melanoma cells.
科研通智能强力驱动
Strongly Powered by AbleSci AI