Integration of in silico and in vitro approaches to design and conduct transcriptomic drug screening in patient-derived neural cells, in order to survey novel pathologies and points of intervention in

NIAID Data Ecosystem50

Phenotypic consequences of SLC25A40-ABCB1 fusions beyond drug resistance in High Grade Serous Ovarian Cancer. Phenotypic consequences of SLC25A40-ABCB1 fusions beyond drug resistance in High Grade Serous Ovarian Cancer

卵巢癌分子机制

药物反应转录组

Purpose: Our laboratory recently identified the most common mechanism of acquired drug resistance in High Grade Serous Ovarian Cancer (HGSOC) to date, SLC25A40-ABCB1 fusions. The primary aim of this s

NIAID Data Ecosystem10

Human Renal Cancer Cells: Control vs STF-62247-treated cells. Homo sapiens

癌症分子机制

药物反应转录组

Transcriptomic profiling of Renal Cancer Cells (RCC) in response to a small molecule, STF-62247. These microarrays have been used to compared with proteomic profiling data in the paper entitled Quanti

NIAID Data Ecosystem60

Assessing the value contribution of bimekizumab for the treatment of moderate-to-severe psoriasis using a multidisciplinary reflective multi-criteria decision analysis

银屑病治疗评估

多准则决策分析

Multi-criteria decision analysis (MCDA) was proposed to surmount arbitrary clinical decisions in the field of biological therapies for psoriatic patients. At the same time, MCDA may further highlight

NIAID Data Ecosystem40

Transcription profiling of human response to etanercept treatment in patients with Psoriasis

资源简介：

相关数据集