five

Covalent Targeting of Splicing in T Cells

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE279165
下载链接
链接失效反馈
官方服务:
资源简介:
Despite significant interest in therapeutic targeting of splicing, few chemical probes are available for the proteins involved in splicing. Here, we show that elaborated stereoisomeric acrylamide chemical probe EV96 and its analogues lead to a selective T cell state-dependent loss of interleukin 2-inducible T cell kinase (ITK) by targeting one of the core splicing factors SF3B1. Mechanistic investigations suggest that the state-dependency stems from a combination of differential protein turnover rates and availability of functional mRNA pools that can be depleted due to extensive alternative splicing. We further introduce a comprehensive list of proteins involved in splicing and leverage both cysteine- and protein-directed activity-based protein profiling (ABPP) data with electrophilic scout fragments to demonstrate covalent ligandability for many classes of splicing factors and splicing regulators in primary human T cells. Taken together, our findings show how chemical perturbation of splicing can lead to immune state-dependent changes in protein expression and provide evidence for the broad potential to target splicing factors with covalent chemistry. Expanded primary human T cells were pelleted (600 g, 5 min, 4 °C) and re-suspended in fresh T cell media at 2 x 106 cells/mL for compound treatment. T cells were treated with WX-02-23 (5 µM), WX-02-43 (5 µM), PladB (10 nM)) or DMSO control in 6-well plates (2 mL/well, 4 x 106 cells/treatment) with or without CD3/CD28 stimulation for 8 h. For treatment conditions that required T cell activation, plates were pre-coated with 1.5 mL PBS containing CD3 (5 µg/mL, BioXCell) and CD28 (2 µg/mL, BioXCell) overnight at 4 °C or for 2 h at 37 °C and washed with PBS (3 mL, 3 times) prior to treatment.
创建时间:
2024-10-09
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