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eefcc67f-9776-478c-8626-0129ebfe62d4 - samples

NIAID Data Ecosystem2026-03-12 收录

癌细胞异质性

胃癌全外显子测序

数据链接：

https://www.omicsdi.org/dataset/ega/EGAD00001006251 数据链接链接失效反馈

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资源简介：

Multiregional whole-exome sequencing was done using 48 tumor samples (range: 4-10 tumor samples/patient) from 9 patients with adenocarcinomas of the stomach and gastroesophageal junction (GC)EGA dataset EGAD00001006251

应用场景：

创建时间：

2021-09-01

单细胞分析

癌细胞异质性

Overview of single-cell sequencing samples and sequencing statistics. An overview of general sequencing and analysis statistics of the single-cell sequencing data. The number of analysed reads corresp

Figshare2016-12-14 更新70

Single-cell RNA-sequencing reveals an intratumor heterogeneity in pancreatic adenocarcinoma [CUT&RUN]

癌细胞异质性

单细胞转录组学

We examined the intratumor heterogeneity in S2-VP10 xenograft by single-cell RNA-sequencing. We found a hierarchical tumor progression originating from ROR1high cells with a partial EMT gene signature

NIAID Data Ecosystem30

Expression and role of the receptor tyrosine kinase-like orphan receptor2 (ROR2) in small cell lung cancer. Expression and role of the receptor tyrosine kinase-like orphan receptor2 (ROR2) in small cell lung cancer

小细胞肺癌分子机制

癌细胞异质性

Heterogeneity of ROR2 was observed in the tumor tissues form patient-derived xenograft (PDX) model of SCLC, in which the cells with high ROR2 expression (ROR2high cell) and those without ROR2 expressi

NIAID Data Ecosystem30

PHLI-seq analysis of a TNBC tissue

空间基因组学

癌细胞异质性

Spatial mapping of genomic data to tissue context in a high-throughput and high-resolution manner has been challenging due to technical limitations. Here, we describe a novel approach, phenotype-based

NIAID Data Ecosystem60

The Wilms' tumor blastema propagating cell is a self-renewing committed epithelial stem cell

儿科肾脏肿瘤干细胞

癌细胞异质性

Recently the cancer stem cell (CSC) model has been put forward to describe how a subset of cells within the tumor is responsible for tumor growth and heterogeneity. Wilms' tumor (WT), the most common

NIAID Data Ecosystem30

eefcc67f-9776-478c-8626-0129ebfe62d4 - samples

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