Raw data - The Discovery of RNA Aptamers that Selectively Bind Glioblastoma Stem Cells
收藏NIAID Data Ecosystem2026-03-11 收录
官方服务:
资源简介:
Research data
应用场景:
创建时间:
2020-05-15
相关数据集
Histone modification and TF ChIP-Seq for glioblastoma cell lines and neural stem cells
Glioblastoma (GBM) is thought to be driven by a sub-population of cancer stem cells (CSCs) that self-renew and recapitulate tumor heterogeneity, yet remain poorly understood. Here we present a compara
NIAID Data Ecosystem80
RNA-seq analysis in human Glioblastom Stem Cells in response to ADAR-KD
Our observation suggest that ADAR may play important role to maintain GSC stemness. In order to address this hypothesis, we abrogated the expression of ADAR in GSCs using two distinct short and non-ov
NIAID Data Ecosystem50
Table1_Selection of RNA aptamers targeting hypoxia in cancer.DOCX
Hypoxia plays a crucial role in tumorigenesis and drug resistance, and it is recognised as a major factor affecting patient clinical outcome. Therefore, the detection of hypoxic areas within the tumou
NIAID Data Ecosystem30
The MET oncogene is a functional marker of a glioblastoma stem cell subtype and drives the invasive phenotype
Eighteen independent neurospheres derived from patients affected by primary glioblastoma were grouped into “classical”, “mesenchymal” or “proneural” subtypes according to analysis of genetic lesions a
NIAID Data Ecosystem60
Epigenome analysis of glioblastoma stem-like-cells after long time culturing [Methylation]. Epigenome analysis of glioblastoma stem-like-cells after long time culturing [Methylation]
Genome wide DNA methylation profiling of glioblastoma stem-like-cells was performed to detect changes during long time culturing. The Illumina Infinium MethylationEPIC Kit array was used to obtain DNA
NIAID Data Ecosystem50



