five

Mechanomics RT-DC Set 01 - Glioblastoma

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Mechanomics_RT-DC_Set_01_-_Glioblastoma/28161236
下载链接
链接失效反馈
官方服务:
资源简介:
Entry is a part of Mechanomics collection (10.6084/m9.figshare.c.5399826) that contains data supporting findings presented in the following manuscript: Urbanska, M., Ge, Y. et al., De novo identification of universal cell mechanics gene signatures BiorXiv: https://doi.org/10.1101/2021.04.26.441418; first published: 27th April 2021, last updated: 4th Nov 2024 eLife: https://doi.org/10.7554/eLife.87930; first published: 23rd March 2023, last updated: 27th Dec 2024 This dataset contains mechanical measurement of three primary brain tumor cell lines (X01, X04, X08), in three distinct growth conditions: • Serum • EGF (epidermal growth factor) • FGFJI (fibroblast growth factor combined with a JAK inhibitor). These conditions are characterised by low, medium and high activation of STAT3-Ser/Hes3 signaling axis, respectively. The cell lines were described and characterised within a framework of a previous publication by Poser et al (FASEB J., 2019). Measurements were performed using real-time deformability cytometry (RT-DC). _rtdc.zip - contains data acquired during the measurments in '*.rtdc' format _tsv.zip - contains extended data in a '*.tsv' format _glmm.zip - contains result summaries of statistical analysis comparing Young's moduli of the different cell types using generalised linear mixed effects models
创建时间:
2025-01-08
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