five

Structural surfaceomics of myeloma models to identify tumor-specific protein conformations

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.omicsdi.org/dataset/pride/PXD059495
下载链接
链接失效反馈
官方服务:
资源简介:
Proteins at the cell surface are promising targets for cancer immunotherapies. While standard surface proteomics can be powerful for target discovery, even more fruitful is identifying cancer-specific surface protein features. To this end, we recently described a technology to identify cancer-specific protein three-dimensional conformations. In “structural surfaceomics”, we integrated XL-MS and surface protein biotinylation to identify the active conformation of integrin beta-2 as a promising cellular therapy target in acute myeloid leukemia (Mandal et al, Nature Cancer (2023)). However, we only applied structural surfaceomics to a single cancer model, and crosslink modeling was done manually. Here, we apply our technology to additional cancer models and implement an automated pipeline for crosslink characterization, AlphaCross-XL (Biswas et al, ASMS abstract (2023)).
创建时间:
2025-10-20
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