Transcription profiling of human tamoxifen treated myeloid leukemia K562-MERT cells

ChEBI2004-06-30 更新2026-07-21 收录

白血病转录组

药物响应基因

数据链接：

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Transcription profiling of human tamoxifen treated myeloid leukemia K562-MERT cells

创建时间：

2004-06-30

Next Generation Sequencing Facilitates Quantitative Analysis of MV4-11 cell line Transcriptomes. Next Generation Sequencing Facilitates Quantitative Analysis of MV4-11 cell line Transcriptomes

白血病转录组

细胞亚群分析

Purpose: The goals of this study are to compare side population and main population cells transcriptome profiling (RNA-seq) . Methods: We sorted side population and main population cells by staining H

NIAID Data Ecosystem100

Multi-omics Characterization of WNT Pathway Reactivation to ameliorate BET Inhibitor Resistance in Liver Cancer Cells

肝癌耐药机制

药物响应基因

The goals of this study are to find drug response genes to different drug combinations in BET inhibitor resistant HepG2 cells. RSEM is taken for consequent data analysis, mapping each sample to the hu

NIAID Data Ecosystem50

RNAseq of human B-ALL cell lines following RUNX1 or CBFb knock-down

白血病转录组

RNA测序

Five B-ALL cell lines representing major genetic subtypes were transfected with shRNAs targeting components of the core binding factor (CBF) complex. Five days after transfection, viable, shRNA-expres

NIAID Data Ecosystem20

RNA-sequencing of E2a-deficient or E2a and Lef1-deficient leukemia cell lines

白血病转录组

基因功能敲除

We compared the transcriptome of leukemia cell lines generated from 7 E2a-/- and 8 E2a-/-Lef1f/fLckCre+ mice Overall design: Comparison of RNA-seq from cell lines with two distinct genotypes

NIAID Data Ecosystem60

Additional file 9 of Transcriptomic characterisation of acute myeloid leukemia cell lines bearing the same t(9;11) driver mutation reveals different molecular signatures

白血病转录组

肿瘤驱动突变分析

Supplementary Material 9

DataCite Commons2025-03-26 更新30