Characterization of the Rat Osteosarcoma Cell Line UMR-106 by Long-Read Technologies Identifies a Large Block of Amplified Genes Associated with Human Disease
This dataset illustrates the value of long DNA methods for the characterization of cell lines and how inter-species analysis can inform us about the genetic nature underlying mutations that underpin specific tumor types. The data should be a valuable resource for investigators studying osteosarcoma, in general, and specifically the UMR-106 model.
Authors
- Alan F. Scott (ORCID: https://orcid.org/0000-0002-9706-7839)
- Kathleen L. Gabrielson (ORCID: https://orcid.org/0000-0003-3901-4357)
- David W. Mohr (ORCID: https://orcid.org/0000-0002-2198-3822)
- Ying Zou (ORCID: https://orcid.org/0000-0003-2787-1917)
- John Anderson (ORCID: https://orcid.org/0000-0003-0840-9890)
- Victoria Stinnett (ORCID: https://orcid.org/0000-0003-0317-1385)
- Michelle Kokosinski
- William A Littrell
- Janvi Madhiwala
- Reshma Babu
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Sidney Kimmel Comprehensive Cancer Center (US)
- Ashland (United States) (US)
Publication Details
- Journal
- Genes
- Published
- 2024-09-26
- DOI
- https://doi.org/10.3390/genes15101254
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Johns Hopkins University
- National Institutes of Health
- Johns Hopkins Bloomberg School of Public Health
- National Cancer Institute