Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

Sarcoma_CellMinerCDB

General information

URL: https://discover.nci.nih.gov/SarcomaCellMinerCDB
Full name: Sarcoma_CellMinerCDB
Description: Sarcoma_CellMinerCDB is a publicly available interactive tool that combines publicly available sarcoma cell line data and newly generated omics data to create a comprehensive database of genomic, transcriptomic, methylomic, proteomic, metabolic, and pharmacologic data on 133 annotated sarcoma cell lines.
Year founded: 2024
Last update: 2024-04-18
Version: v1.0
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Cancer Institute
Address:
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Yves Pommier
Contact email (PI/Helpdesk): pommier@nih.gov

Publications

38868205
Sarcoma_CellminerCDB: A tool to interrogate the genomic and functional characteristics of a comprehensive collection of sarcoma cell lines. [PMID: 38868205]
Camille Tlemsani, Christine M Heske, Fathi Elloumi, Lorinc Pongor, Prashant Khandagale, Sudhir Varma, Augustin Luna, Paul S Meltzer, Javed Khan, William C Reinhold, Yves Pommier

Sarcomas are a diverse group of rare malignancies composed of multiple different clinical and molecular subtypes. Due to their rarity and heterogeneity, basic, translational, and clinical research in sarcoma has trailed behind that of other cancers. Outcomes for patients remain generally poor due to an incomplete understanding of disease biology and a lack of novel therapies. To address some of the limitations impeding preclinical sarcoma research, we have developed Sarcoma_CellMinerCDB, a publicly available interactive tool that merges publicly available sarcoma cell line data and newly generated omics data to create a comprehensive database of genomic, transcriptomic, methylomic, proteomic, metabolic, and pharmacologic data on 133 annotated sarcoma cell lines. The reproducibility, functionality, biological relevance, and therapeutic applications of Sarcoma_CellMinerCDB described herein are powerful tools to address and generate biological questions and test hypotheses for translational research. Sarcoma_CellMinerCDB (https://discover.nci.nih.gov/SarcomaCellMinerCDB) aims to contribute to advancing the preclinical study of sarcoma.

iScience. 2024:27(6) | 7 Citations (from Europe PMC, 2026-05-09)

Ranking

All databases:
3150/6932 (54.573%)
Gene genome and annotation:
974/2041 (52.327%)
Expression:
647/1363 (52.605%)
Modification:
193/338 (43.195%)
Interaction:
590/1201 (50.958%)
Health and medicine:
773/1756 (56.036%)
3150
Total Rank
6
Citations
3
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2024-07-16
Curated by:
Wenzhuo Cheng [2024-08-26]
Shiting Wang [2024-07-23]
Miaomiao Wang [2024-07-16]