Academic Journal
Genomic, transcriptomic and epigenomic sequencing data of the B-cell leukemia cell line REH
| Title: | Genomic, transcriptomic and epigenomic sequencing data of the B-cell leukemia cell line REH |
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| Authors: | Mariya Lysenkova Wiklander, Elin Övernäs, Johanna Lagensjö, Amanda Raine, Anna Petri, Ann-Christin Wiman, Jon Ramsell, Yanara Marincevic-Zuniga, Henrik Gezelius, Tom Martin, Ignas Bunikis, Sara Ekberg, Rikard Erlandsson, Pontus Larsson, Mai-Britt Mosbech, Susana Häggqvist, Susanne Hellstedt Kerje, Lars Feuk, Adam Ameur, Ulrika Liljedahl, Jessica Nordlund |
| Source: | BMC Research Notes, Vol 16, Iss 1, Pp 1-5 (2023) |
| Publisher Information: | BMC, 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Medicine LCC:Biology (General) LCC:Science (General) |
| Subject Terms: | Next-generation sequencing, Long-read, Short-read, Multi-omics, Genomics, Transcriptomics, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390 |
| More Details: | Abstract Objectives The aim of this data paper is to describe a collection of 33 genomic, transcriptomic and epigenomic sequencing datasets of the B-cell acute lymphoblastic leukemia (ALL) cell line REH. REH is one of the most frequently used cell lines for functional studies of pediatric ALL, and these data provide a multi-faceted characterization of its molecular features. The datasets described herein, generated with short- and long-read sequencing technologies, can both provide insights into the complex aberrant karyotype of REH, and be used as reference datasets for sequencing data quality assessment or for methods development. Data description This paper describes 33 datasets corresponding to 867 gigabases of raw sequencing data generated from the REH cell line. These datasets include five different approaches for whole genome sequencing (WGS) on four sequencing platforms, two RNA sequencing (RNA-seq) techniques on two different sequencing platforms, DNA methylation sequencing, and single-cell ATAC-sequencing. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1756-0500 |
| Relation: | https://doaj.org/toc/1756-0500 |
| DOI: | 10.1186/s13104-023-06537-2 |
| Access URL: | https://doaj.org/article/5165637138d0472e9926245c93331949 |
| Accession Number: | edsdoj.5165637138d0472e9926245c93331949 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 17560500 |
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| DOI: | 10.1186/s13104-023-06537-2 |
| Published in: | BMC Research Notes |
| Language: | English |