Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA296119: Single-cell transcriptome profiling for metastatic renal cell carcinoma patient-derived cells [RNA-seq]

Source: NCBI / GSE73121
Submission Date: Sep 17 2015
Release Date: Sep 18 2015
Update Date: May 15 2019

Summary: Clear cell renal cell carcinoma (ccRCC) initiated from the renal epithelium is the most prevalent histological type of adult kidney cancers. Dissecting intratumoral heterogeneity (ITH) of ccRCC has leveraged to extend our knowledge on how primary tumors harboring driver mutations evolve and spread to other sites. The cellular fractions within and across the primary (pRCC) and metastatic RCC (mRCC) are heterogeneous in both their genetic and biological features determining the variability in clinical aggressiveness and sensitivity to the therapy. To achieve sustainable therapeutic benefit with targeted agents in mRCC; the effective target should focus on signaling pathways that are related to driver mutations occurred early in the clonal evolution of the disease and thus should be common to primary tumor and metastatic sites. Considering that extensive genetic heterogeneity may result in drug response variability among patients and treatment resistance; the tailored strategies for metastatic RCC is urgently needed. Here; we analyze single-cell RNA-seq (scRNA-seq) data from a matched primary RCC (pRCC) and lung metastasis (mRCC) to dissect ITH at the highest resolution to date with the objective of discovering the better therapeutic regimen.

Overall Design: 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.

GEN Datasets:
GEND000198
Strategy:
Species:
Healthy Condition:
Cell Type:
Protocol
Growth Protocol: This study was carried out in accordance with the principles of the Declaration of Helsinki, and approved by The Samsung Medical Center (Seoul, Korea) Institutional Review Board (IRB) (no. 2010-04-004). A participant in this study gave written informed consent for research and publication of the results. Animal experiments were conducted in accordance with the Institute for Laboratory Animal Research Guide for the Care and Use of Laboratory Animals and within the protocols approved by the appropriate IRB at the Samsung Medical Center. After validating the origin of each xenograft by short tandem repeat DNA fingerprinting, sacrified tumor tissues together with prepared patient metastasis tumor samples were dissociated to implement C1? Single-Cell Auto Prep System.
Treatment Protocol: -
Extract Protocol: In order to isolate single-cells and amplify initial RNA content enough to transcriptome sequencing, we adopted the C1TM Single-Cell Auto Prep System (Fluidigm, CA, USA) with the SMARTer kit (Clontech, CA, USA). Cells were captured on the C1 chip (17-25 μm) and determined as a live single cell by fluorescence microscopic observation. Quantity and quality of amplified cDNAs from individual single cells were checked by Qubit 2.0 Fluorometer (Life Technologies, CA, USA) and 2100 Bioanalyzer (Agilent Inc., CA, USA). RNAs from bulk cell samples were also amplified using a SMARTer kit with 10 ng of starting material. For WES, gDNAs were prepared using QIAamp DNA Mini kit (QIAGEN, CA, USA). Exome sequencing was carried using the SureSelect XT Human All Exon V5 kit (Agilent Inc., CA, USA), according to the manufacturer’s standard protocol.
Library Construction Protocol: Libraries were prepared using the Nextera XT DNA Sample Prep Kit (Illumina, CA, USA) following the manufacturer’s instruction, assayed the quantity and quality, pooled, and then sequenced on the HiSeq 2500 (Illumina) using the 100bp paired-end mode of the TruSeq Rapid PE Cluster kit and TruSeq Rapid SBS kit (Illumina) at the Samsung Genome Institute (Seoul, Korea). Sequencing of the exome library was carried out on the HiSeq 2500 (Illumina, CA, USA) using the 100bp paired-end mode of the TruSeq Rapid PE Cluster kit and TruSeq Rapid SBS kit (Illumina) at the Samsung Genome Institute (Seoul, Korea).
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: -
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 2500
Strand-Specific: Unspecific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma.
Genome biology . 2016-04-29 [PMID: 27139883]