数据链接：
官方服务：
资源简介：
sciPlex data object generated by ORCESTRA.
应用场景：
创建时间：
2022-10-06
相关数据集
Transcriptome perturbations within NIH3T3 cell lines expressing rhodopsin and its retinitis pigmentosa mutant and implication for drug screening. Mus musculus
Mammalian cells are commonly employed to identify active compounds that could affect progression of many human diseases including retinitis pigmentosa. Here, using transcriptome analysis to compare NI
NIAID Data Ecosystem50
Combinatorial perturbation sequencing on single cells using microwell-based droplet random pairing
Combinatorial drug therapy reduces drug resistance and disease relapse, but informed drug combinations are lacking due to the large scale of possible combinations and the relatively simple phenotyping
DataCite Commons2022-08-02 更新50
A deep learning framework for in silico screening of anticancer drugs at the single-cell level
Tumor heterogeneity plays a pivotal role in tumor progression and resistance to clinical treatment. Single-cell RNA sequencing (scRNA-seq) enables us to explore heterogeneity within a cell population
Figshare2024-12-11 更新30
Trellis Single-Cell Screening Reveals Stromal Regulation of Patient-Derived Organoid Drug Responses
Patient-derived organoids (PDOs) can model personalized therapy responses, however current screening technologies cannot reveal drug response mechanisms or how tumor microenvironment cells alter thera
NIAID Data Ecosystem50
Regulatory consequences of TARBP2 knock-down in CN-LM1a cell-line
siRNA-mediated knock-down followed by transcriptomic profiling revealed that silencing of TARBP2 resulted in a significant up-regulation of sRSE-carrying transcripts. Two independent siRNAs were used
NIAID Data Ecosystem40
