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Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines
Jo Lynne Harenza1, Maura A Diamond1, Rebecca N Adams2
1Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.
Scientific Data
|March 29, 2017
Summary
This study presents RNA sequencing data for 39 neuroblastoma cell lines, offering a valuable resource for understanding cancer drivers. The data facilitates analysis of gene expression, structural variants, and long non-coding RNAs in neuroblastoma research.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Neuroblastoma cell lines are crucial models for studying cancer-causing genes.
- Previous characterization used microarrays, but comprehensive sequencing data was lacking.
Purpose of the Study:
- To generate and present whole transcriptome RNA sequencing data for 39 neuroblastoma cell lines.
- To provide a resource for analyzing gene expression and genetic aberrations in neuroblastoma.
Main Methods:
- Whole transcriptome RNA sequencing (RNA-Seq) was performed on 39 neuroblastoma cell lines.
- Data generated for differential expression, structural variant, and long non-coding RNA analysis.
Main Results:
- Raw RNA-Seq data from 39 neuroblastoma cell lines are now available.
- The data enables analysis correlated with MYCN amplification, ALK mutations, and chromosomal status.
Conclusions:
- This comprehensive RNA-Seq dataset serves as a foundational resource for neuroblastoma research.
- It will complement future epigenomic studies to identify regulatory elements and transcriptional targets.
