five

CROP-seq + PIP-seq

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP427018
下载链接
链接失效反馈
官方服务:
资源简介:
We used PIP-seq with a CROP-seq library to evaluate the feability of PIP-seq for large pooled CRISPR screens Overall design: K562 CRISPRi cells were cultured in RPMI-1640 (Gibco #11875093) with 10% FBS (Thermo Fisher Scientific, #10438026) and 1% penicillin/streptomycin (Thermo Fisher Scientific, #15140148) in an incubator at 37°C with 5% CO2. K562 CRISPRi cells were transduced with a lentivirus library containing 138 sgRNA (Jost et al 2020) at a multiplicity of infection of 0.1. Lentivirus infected cells (BFP+) were sorted to high purity using a BD FACS Aria III (100 µMnozzle) and processed according to the PIP-seq scRNA-seq workflow.
创建时间:
2023-04-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作