Dissecting engineered cell types and enhancing cell fate conversion via CellNet

ChEBI2014-08-14 更新2026-07-21 收录

细胞重编程

计算生物学

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-59037 数据链接链接失效反馈

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资源简介：

Dissecting engineered cell types and enhancing cell fate conversion via CellNet

创建时间：

2014-08-14

项目二课题三2024年年度计划

酶学研究

计算生物学

年度指标：（1）获得非标记和同位素标记的生物酶试验样品，包括酶的表达载体构建，表达条件优化及筛选，制备可供NMR测量的酶样品；（2）构建用于环境模拟研究的生物酶的初始结构，探索类细胞环境的计算机模拟实验；（3）优化开展NMR等实验的合适条件，初步残基NMR数据；（4）建立酶催化体系的拥挤、限域等类细胞环境，探索别构效应诱发条件，测试相应条件下酶活性变化。

中国科学院兰州化学物理研究所科学数据中心2026-01-09 更新130

C2C12 murine myoblast cell line and 48 h 10 uM BIO treated C2C12 cellulate. Mus musculus

细胞重编程

心肌细胞去分化机制

In urodele amphibians, limb regeneration involves the dedifferentiation of muscle myotubes into single cells that may acquire pluripotent potential. We have employed small molecules (myoseverin and BI

NIAID Data Ecosystem50

Supplemental Material for Nielly-Thibault and Landry, 2019

蛋白质内在无序性预测

计算生物学

The file "Notebook.ipynb" is a Jupyter notebook containing the Python2 and Bash code used to generate figures 2 and S1. The Bash code in this notebook makes use of the three Python2 scripts "simulate_

NIAID Data Ecosystem30

RAC2 GTPase cycle

GTP酶调控

计算生物学

This event has been computationally inferred from an event that has been demonstrated in another species. The inference is based on the homology mapping from PANTHER. Briefly, reactions for which al

reactome.org110

Performance in validation on isolates not present in the original dataset.

生物抗性预测

计算生物学

Validation parameters were calculated using different forms of grouping to give an unbiased error estimate. Class wide values are indicated in italic and the global average performance is indicated in

Figshare2015-12-02 更新30

Dissecting engineered cell types and enhancing cell fate conversion via CellNet

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