five

eQTL mapping of fetal-like pancreatic progenitor cells

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE182758
下载链接
链接失效反馈
官方服务:
资源简介:
The goal of this study is to understand the effects of genetic variation on gene expression in fetal-like pancreatic progenitor cells. We generated bulk RNA-seq from 107 iPSC-derived pancreatic progenitor cells (iPSC-PPC) from iPSC lines derived from 106 individuals from the iPSCORE resource. We then conducted genome-wide expression quantitative trait loci analyses to identify genetic variants associated with gene expression and isoform usage. This repository provides bulk RNA-seq data generated from 107 iPSC-derived pancreatic progenitor samples from 106 individuals in the iPSCORE Resource (PMID: 28410642). 102 samples were sequenced twice to obtain sufficient number of reads while five samples were sequenced once because they already had sufficient reads. **Submitter states that the raw data will be available in dbGaP (phs000924)**
创建时间:
2024-06-08
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