The goals of this study are to compare NGS-derived transcriptome profiling (RNA-seq) data sets between siScrambled negative control groups and YAP, TAZ, or YAP/TAZ knockdown groups Overall design: siR

NIAID Data Ecosystem60

Squint Data

视觉疾病研究

黑色素瘤转录组分析

This dataset contains the raw data necessary to generate the linked results presented in McAdams 2020.Associated code can be found on GitHub (https://github.com/gkaguirrelab/melSquintAnalysis)

Figshare2020-06-03 更新50

Time course transcriptomic analysis of human melanoma A375 cells dying of immunogenic or non immunogenic apoptosis

免疫原性细胞死亡

黑色素瘤转录组分析

We set out to investigate the transcriptional profile of cancer cells responding to mitoxantrone (MTX) or hypericin-based photodynamic therapy (Hyp-PDT), as prototypes of immunogenic treatments compar

NIAID Data Ecosystem70

Transcriptome-wide map of m6A RNAs in A375 NC cells and shMETTL3 cells

m6A修饰

黑色素瘤转录组分析

The newly discovered dynamic N6-methyladenosine (m6A) modification plays a critical role in gene expression from a post-transcriptional level. we profiled the transcriptome-wide m6A modification in mR

NIAID Data Ecosystem60