Dataset features

Specifications


Application: aCGH data analysis
Number of samples: 4
Release date: Sep 18 2015
Last update date: May 4 2016
Access: Public
Diseases: Brain Neoplasms, Carcinoma, Renal Cell, Kidney Neoplasms
Dataset link Single-cell transcriptome profiling for metastatic renal cell carcinoma patient-derived cells [aCGH]

Experimental Protocol


In order to identify successful clonal propagation from patient to PDX samples and understand pathogenesis from primary to metastatic RCC, we performed whole-exome sequencing (WES, n=4) and matched aCGH (n=4) on bulk tumor samples. And we utilized single-cell RNA sequencing (scRNA-seq) to model and dissect functional heterogeneity acroass primary and metastatic RCC tumors. We checked whether of capturing live one cell, not more cells, in microfluidics by fluorescent microscopic observation. To construct RNA sequencing libraries, we performed further quality controls including adequate quantities and qualities of amplified transcriptomes respectively from single cells. Tumor cells from the parental mRCC (n=34), PDX-mRCC (n=36) and PDX-pRCC (n=46) were finally analyzed in this study after filtering out poor quality cells.

Repositories


GEO

GSE73119

ArrayExpress

E-GEOD-73119

BioProject

PRJNA296120

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