five

Dynamic transcriptomes of human myeloid leukemia cells

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP021168
下载链接
链接失效反馈
官方服务:
资源简介:
To identify the mechanisms controlling chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) in humans, we analyzed genome-wide transcription dynamics in three myeloid leukemia cell lines (K562, HL-60, and THP1) using high-throughput sequencing technology. Using KEGG analysis, we found that the ERK/MAPK, JAK-STAT and ErbB pathways promoted proliferation and metabolism in CML. However, in AML, differentiation and apoptosis blocking resulted in the accumulation of blast cells in marrow. In addition, each cell type had unique characteristics. K562 cells are an ideal model for studying erythroid differentiation and globin gene expression. The chemokine signaling pathway and Fc gamma R-mediated phagocytosis were markedly upregulated in HL-60 cells. In THP1 cells, highly expressed genes ensured strong phagocytosis by monocytes. Further, we provide a new insight into myeloid development. The abundant data sets and well-defined analysis methods will provide a resource and strategy for further investigation of myeloid leukemia. Overall design: Compare mRNA transcriptomes of three different cell lines
创建时间:
2019-09-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作