首页/数据集/Transcriptome profiling of quiescent and cytokine induced normal human haematopoietic CD34+ HSPCs, and AML blast cells

Transcriptome profiling of quiescent and cytokine induced normal human haematopoietic CD34+ HSPCs, and AML blast cells

ChEBI2015-12-09 更新2026-07-12 收录

干细胞转录组学

急性髓系白血病分子特征

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-3328 数据链接链接失效反馈

官方服务：

资源简介：

Transcriptome profiling of quiescent and cytokine induced normal human haematopoietic CD34+ HSPCs, and AML blast cells

应用场景：

创建时间：

2015-12-09

干细胞转录组学

细胞适应性

Transcriptome profile was obtained from a set of human embryonic stem cell (hESCs) line (WA09: H9) with different passage numbers (P1: 40s, P2: 100s, P3: 200s, P4: 300s passage). Culture adaptation oc

NIAID Data Ecosystem70

LKB1, Salt-Inducible Kinases, and MEF2C are linked dependencies in acute myeloid leukemia. LKB1, Salt-Inducible Kinases, and MEF2C are linked dependencies in acute myeloid leukemia

急性髓系白血病分子特征

激酶依赖性网络

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem60

Multi-omics analysis of longitudinal patient samples reveals the molecular mechanism of AML progression [ATAC-seq]. Multi-omics analysis of longitudinal patient samples reveals the molecular mechanism of AML progression [ATAC-seq]

急性髓系白血病分子特征

多组学疾病分析

Relapse remains a determinant of treatment failure and contributes significantly to mortality in acute myeloid leukemia (AML) patients. Despite efforts to understand AML progression and relapse mechan

NIAID Data Ecosystem20

Gene expression analysis of WT and Flt3-ITD multipotent progenitors. Mus musculus

急性髓系白血病分子特征

细胞分化调控

FLT3-ITDs Introduce a Myeloid Differentiation and Transformation Bias in Lympho-myeloid Multipotent Progenitors Overall design: WT multipotent progenitors were compared with FLT3-ITD multipotent proge

NIAID Data Ecosystem70

Expression data of whole genome from new diagnostic AML patients (with or without EMI) and healthy volunteers. Expression data of whole genome from new diagnostic AML patients (with or without EMI) and healthy volunteers

急性髓系白血病分子特征

髓外浸润基因表达谱

Whole Genome microarray was conducted to further explore the underlying gene expression alterations in extramedullary infiltration (EMI) of AML. 4 matched samples from EMI, non-EMI AML patients and he

NIAID Data Ecosystem30

Transcriptome profiling of quiescent and cytokine induced normal human haematopoietic CD34+ HSPCs, and AML blast cells

资源简介：

相关数据集