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.

Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines / Harenza, Jo Lynne; Diamond, Maura A.; Adams, Rebecca N.; Song, Michael M.; Davidson, Heather L.; Hart, Lori S.; Dent, Maiah H.; Fortina, Paolo; Reynolds, C. Patrick; Maris, John M.. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - ELETTRONICO. - 4:(2017), p. 170033. [10.1038/sdata.2017.33]

Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines

FORTINA, PAOLO;
2017

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.
2017
3304; Library and Information Sciences; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems; Statistics, Probability and Uncertainty; Statistics and Probability
01 Pubblicazione su rivista::01a Articolo in rivista
Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines / Harenza, Jo Lynne; Diamond, Maura A.; Adams, Rebecca N.; Song, Michael M.; Davidson, Heather L.; Hart, Lori S.; Dent, Maiah H.; Fortina, Paolo; Reynolds, C. Patrick; Maris, John M.. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - ELETTRONICO. - 4:(2017), p. 170033. [10.1038/sdata.2017.33]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/956967
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