category
bioRxiv
date
Feb 14, 2026
slug
status
Published
summary
提出VIPerturb-seq平台通过探针检测策略解决全基因组Perturb-seq实验的通量瓶颈,实现50倍效率提升;创新性结合表型富集筛选与组合索引技术,支持从无偏到靶向的多模式研究流程。
tags
基因编辑
单细胞测序
测序技术
type
Post

📄 原文题目

Genome-wide single-cell perturbation screens with VIPerturb-seq

🔗 原文链接

💡 AI 核心解读

提出VIPerturb-seq平台通过探针检测策略解决全基因组Perturb-seq实验的通量瓶颈,实现50倍效率提升;创新性结合表型富集筛选与组合索引技术,支持从无偏到靶向的多模式研究流程。

📝 英文原版摘要

CRISPR-based screening combined with single-cell sequencing (i.e. Perturb-seq) enables systematic mapping of genetic perturbations to molecular phenotypes. While Perturb-seq is well-suited to profile targeted subsets of regulators, scaling to genome-wide screens presents substantial cost and throughput challenges. Here we introduce VIPerturb-seq, a platform to facilitate routine genome-wide Perturb-seq experiments using probe-based detection workflows. We describe a split probe strategy for detection of genome-wide CRISPR libraries in fixed cells that enables (i) optional support for phenotypic enrichment of Very Important Perturbations (VIP) prior to single-cell profiling, and (ii) compatibility with combinatorial indexing workflows to further improve Perturb-seq throughput by 50-fold. Using a genome-wide CRISPRi library (GuEST-List), we demonstrate VIPerturb-seq on two genome-wide screens representing both unbiased and phenotypically enriched workflows. Our results demonstrate how the sensitivity, scalability, and efficiency of VIPerturb-seq can enable both individual labs with targeted research questions and large data generation platforms aiming to construct virtual cells.
蚂蚁基因组如何反复重塑毒液基因组视角下蚯蚓Amynthas aspergillum的快速多样化与适应性渐渗
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