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This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
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创建时间：
2014-02-18
相关数据集
Transcriptome landscape of DNA-damage response at single-cell resolution
Purpose: The goals of this study are to investigate how the transcriptome of colon cancer cells responds to genotoxic 5FU treatments utilizing single cell RNA-seq (scRNA-seq) technology. Methods: The
NIAID Data Ecosystem120
Additional file 11 of Machine learning approach informs biology of cancer drug response
Additional file 11. Supplementary Table S9. Top 20 GO Biological Processes enrichment of t-test derived genes for PTX analysis. P-values shown are corrected for multiple hypothesis testing using the H
NIAID Data Ecosystem60
Differential gene expression for A2780 human ovarian cancer cells when exposed to a new osmium-based anticancer agent. Differential gene expression for A2780 human ovarian cancer cells when exposed to a new osmium-based anticancer agent
Platinum-based metallodrugs are the most widely used anticancer agents. Their reduced effectiveness after repeat dosing (resistance) constitutes a major clinical problem. In this experiment we study a
NIAID Data Ecosystem40
ChIP-seq from K562 (ENCSR283ZNI)
ZBTB8A ChIP-seq on human K562 For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_U
NIAID Data Ecosystem110
Transcriptomic analysis of T84 colon carcinoma cell line treated with trametinib, JQ1 or their combination
T84 cells were treated with DMSO, 30nM trametinib (MEKi), 1µM JQ1 (BRD4i) or the combination of trametinib and JQ1 (combo) for 24h. Overall design: 3 replicates per condition were analyzed by RNA-seq
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