five

NFIC overexpression perturbs normal haematopoeisis by promoting myeloid differentiaon

收藏
NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP368139
下载链接
链接失效反馈
官方服务:
资源简介:
Nuclear factor I-C belongs to a family of CTF binding transcription factor which is known for its role cellular differentiation. In our recent study we identified increased expression of NFIC in. AML samples as compared to normal haematpoitic stem and progenitor cells (HSPCs). We also found that overexpression of NFIC in cord blood derived HSPCs perturbed normal haematopoiesis by increasing monocyte production. Therefore in this analysis we aimed to identify the effect of NFIC overexpression in normal HSPCs at single cell level using single cell RNA (scRNA) sequencing. Cluster analysis based on the cellular and functional identities, identified eight clusters according to their terminal differentiation as monocytes, erythrocytes, dendritic cells (DC), megakaryocytes, neutrophils, megakaryocyte-erythroid progenitor cells, basophil/mast progenitor cells and eosinophils. We found that NFIC overexpressing CD34+ HSPCs had increased percentage of monocytes as compared to control. To understand the molecular basis of this, we focussed our analysis on monocytes to determine changes in mRNA expression following NFIC overexpression. We identified 164 and 88 significantly up-regulated and down-regulated genes, respectively (p<0.05, FDR<0.05) in NFIC overexpressing monocytes as compared to control. Pathway analysis identified enrichment in genes involved in mTOR signalling, cancer cell death and survival, energy metabolism pathways and oxidative phosphorylation. Therefore our scRNA suggested that NFIC play a role in monocytic growth development and its overexpression may lead to monocytic bias in normal haematopoiesis. Overall design: Human CD34 positive haematopoietic stem and progenitor cells (HSPCs) were infected with either control vector or NFIC overexpression using retronectin. Four days post infection cells were sorted for GFP and processed for single cells RNA sequencing using 10x Genomics.
创建时间:
2023-03-03
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