Single-Cell RNA Sequencing of Glioblastoma Cells

Methods Mol Biol. 2018:1741:151-170. doi: 10.1007/978-1-4939-7659-1_12.

Abstract

Single-cell RNA sequencing (sc-RNASeq) is a recently developed technique used to evaluate the transcriptome of individual cells. As opposed to conventional RNASeq in which entire populations are sequenced in bulk, sc-RNASeq can be beneficial when trying to better understand gene expression patterns in markedly heterogeneous populations of cells or when trying to identify transcriptional signatures of rare cells that may be underrepresented when using conventional bulk RNASeq. In this method, we describe the generation and analysis of cDNA libraries from single patient-derived glioblastoma cells using the C1 Fluidigm system. The protocol details the use of the C1 integrated fluidics circuit (IFC) for capturing, imaging and lysing cells; performing reverse transcription; and generating cDNA libraries that are ready for sequencing and analysis.

Keywords: Bioinformatics; Fluidigm; RNA sequencing; Seurat; Single cell RNASeq; Transcriptome.

MeSH terms

  • Computational Biology / methods
  • Gene Expression Profiling / methods
  • Gene Library
  • Glioblastoma / genetics*
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Nucleic Acid Amplification Techniques
  • Sequence Analysis, RNA*
  • Single-Cell Analysis* / methods
  • Transcriptome