首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines
  • 本地全文:下载
  • 作者:Jo Lynne Harenza ; Maura A. Diamond ; Rebecca N. Adams
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2017
  • 卷号:4
  • DOI:10.1038/sdata.2017.33
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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.
国家哲学社会科学文献中心版权所有