Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines

Sci Data. 2017 Mar 28:4:170033. doi: 10.1038/sdata.2017.33.

Abstract

Neuroblastoma cell lines are an important and cost-effective model used to study oncogenic drivers of the disease. While many of these cell lines have been previously characterized with SNP, methylation, and/or mRNA expression microarrays, there has not been an effort to comprehensively sequence these cell lines. Here, we present raw whole transcriptome data generated by RNA sequencing of 39 commonly-used neuroblastoma cell lines. These data can be used to perform differential expression analysis based on a genetic aberration or phenotype in neuroblastoma (e.g., MYCN amplification status, ALK mutation status, chromosome arm 1p, 11q and/or 17q status, sensitivity to pharmacologic perturbation). Additionally, we designed this experiment to enable structural variant and/or long-noncoding RNA analysis across these cell lines. Finally, as more DNase/ATAC and histone/transcription factor ChIP sequencing is performed in these cell lines, our RNA-Seq data will be an important complement to inform transcriptional targets as well as regulatory (enhancer or repressor) elements in neuroblastoma.

Publication types

  • Dataset
  • Research Support, N.I.H., Extramural

MeSH terms

  • Cell Line, Tumor*
  • Gene Expression Profiling*
  • Humans
  • Mutation
  • Neuroblastoma / genetics*