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

PRJNA321420: Mapping heterogeneity in a patient-derived melanoma culture by single-cell RNA-seq

Source: NCBI / GSE81383
Submission Date: May 12 2016
Release Date: Jan 12 2017
Update Date: May 15 2019

Summary: Recent technological advances in single-cell genomics make it possible to analyze cellular heterogeneity of tumor samples. Here; we applied single-cell RNA-seq to measure the transcriptomes of 307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type; BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis; respectively. Analysis based on self-organizing maps identified sub-populations defined by multiple gene expression modules involved in proliferation; oxidative phosphorylation; pigmentation and cellular stroma. Gene expression modules had prognostic relevance when compared with gene expression data from published melanoma samples and patient survival data. We surveyed kinome expression patterns across sub-populations of the BRAF/NRAS wild type sample and found that CDK4 and CDK2 were consistently highly expressed in the majority of cells; suggesting that these kinases might be involved in melanoma progression. Treatment of cells with the CDK4 inhibitor palbociclib restricted cell proliferation to a similar; and in some cases greater; extent than MAPK inhibitors. Finally; we identified a low abundant sub-population in this sample that highly expressed a module containing ABC transporter ABCB5; surface markers CD271 and CD133; and multiple aldehyde dehydrogenases (ALDHs); as markers for melanoma stem or initiating cells. Patient-derived cultures of the BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant metastases showed more homogeneous single-cell gene expression patterns with gene expression modules for proliferation and ABC transporters. Taken together; our results describe an intertumor and intratumor heterogeneity in melanoma short-term cultures which might be relevant for patient survival; and suggest promising targets for new treatment approaches in melanoma therapy.

Overall Design: RNA-seq of 307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type; BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis; respectively.

GEN Datasets:
GEND000352
Strategy:
Species:
Tissue:
Healthy Condition:
Protocol
Growth Protocol: melanoma short-term culture Ma-Mel-123
Treatment Protocol: -
Extract Protocol: Single melanoma cells from short-term cultures were captured on an integrated fluidic circuit RNA-seq chip (Fluidigm, Hamburg, Germany) using the Fluidigm C1 system. Cells were loaded onto the chip at a concentration of 200 cells/μL and imaged by phase-contrast. Cell capture, cell lysis, reverse transcription, and cDNA amplification were performed on the chip as described (Camp et al., 2015).
Library Construction Protocol: Illumina libraries were constructed using the Illumina Nextera XT DNA Sample Preparation kit using the protocol supplied by Fluidigm. Ninety-six libraries were pooled (3 L each) and purified with SPRI beads. Library concentration and size distribution were assessed on an Agilent Bioanalyzer and with Qubit dsDNA HS Assay kits and a Qubit 2.0 Fluorometer (Thermo Fisher Scientific, Invitrogen, Darmstadt). Each cell was paired-end sequenced (100 base reads) on an Illumina HiSeq 2500 to a depth of 2–5 million reads and base-calling, adaptor trimming, and de-multiplexing were performed as described (Renaud et al., 2013; Renaud et al., 2015).
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
Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression.
Biology . 2018-04-03 [PMID: 29614062]