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Single-cell transcriptional analysis of disseminated single cells and disseminated tumor cell clusters acquired from epithelial ovarian cancer ascites

NIAID Data Ecosystem2026-03-11 收录

单细胞转录组学

卵巢癌播散肿瘤细胞

数据链接：

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE126192 数据链接链接失效反馈

官方服务：

资源简介：

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

应用场景：

创建时间：

2020-04-20

单细胞转录组学

马哮喘免疫病理学

The transcriptomic profile of a cell population can now be studied at the cellular level using single-cell mRNA sequencing (scRNA-seq). This novel technique provides the unprecedented opportunity to e

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Chemically defined and scalable culture system for intestinal stem cells derived from human intestinal organoids (RNA-Seq)

细胞培养

单细胞转录组学

we established a human intestinal stem cell (ISC) culture method expanded under feeder-free and fully defined conditions through selective enrichment of ISC populations (ISC3D-hIO) within hIO derived

NIAID Data Ecosystem00

Table_1_Single-cell transcriptomics reveals a role for pancreatic duct cells as potential mediators of inflammation in diabetes mellitus.docx

单细胞转录组学

糖尿病胰腺炎症机制

IntroductionInflammation of the pancreas contributes to the development of diabetes mellitus. Although it is well-accepted that local inflammation leads to a progressive loss of functional beta cell m

NIAID Data Ecosystem00

A robust and efficient microvascular isolation method for multimodal characterization of the mouse brain vasculature. A robust and efficient microvascular isolation method for multimodal characterization of the mouse brain vasculature

脑血管分离技术

单细胞转录组学

Studying disease related changes in the brain vasculature is pivotal due to its crucial role in supplying oxygen and nutrients, and removing waste. To study the vascular cells in detail, improved tech

NIAID Data Ecosystem10

DataSheet1_A cost-effective protocol for single-cell RNA sequencing of human skin.docx

单细胞转录组学

皮肤免疫分析

IntroductionSingle-cell RNA sequencing (scRNAseq) and flow cytometry studies in skin are methodologically complex and costly, limiting their accessibility to researchers worldwide. Ideally, RNA and pr

NIAID Data Ecosystem00