ArticleBMC genomics2009
CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 259 papers, 1 of them a synthesis that pooled it.
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Who cites it
259 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Pharmacological targets and mechanism of baicalein in treating breast cancer: a study based on network pharmacology, molecular docking, and bioinformatics analysis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Kinesin genes KIF4A, KIF20A and KIF11 as prognostic biomarkers in lung adenocarcinoma by integrative bioinformatic analysis and experimental validation.Scientific reports · 2025Article
- Novel hypoxia-immune biomarkers predict response to neoadjuvant chemotherapy in patients with laryngo-hypopharyngeal cancer.European journal of medical research · 2025Article
- Pharmacogenomic Drug-Target Network Analysis Reveals Similarity Profiles Among FDA-Approved Cancer Drugs.Pharmaceutics · 2025Article
- Pan-cancer Myc modulator that targets Myc-α-tubulin interaction to drive selective mitotic catastrophe.Scientific reports · 2025Article
199 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvances in the high-throughput omic technologies have made it possible to profile cells in a large number of ways at the DNA, RNA, protein, chromosomal, functional, and pharmacological levels. A persistent problem is that some classes of molecular data are labeled with gene identifiers, others with transcript or protein identifiers, and still others with chromosomal locations. What has lagged behind is the ability to integrate the resulting data to uncover complex relationships and patterns. Those issues are reflected in full form by molecular profile data on the panel of 60 diverse human cancer cell lines (the NCI-60) used since 1990 by the U.S. National Cancer Institute to screen compounds for anticancer activity. To our knowledge, CellMiner is the first online database resource for integration of the diverse molecular types of NCI-60 and related meta data. DESCRIPTION: CellMiner enables scientists to perform advanced querying of molecular information on NCI-60 (and additional types) through a single web interface. CellMiner is a freely available tool that organizes and stores raw and normalized data that represent multiple types of molecular characterizations at the DNA, RNA, protein, and pharmacological levels. Annotations for each project, along with associated metadata on the samples and datasets, are stored in a MySQL database and linked to the molecular profile data. Data can be queried and downloaded along with comprehensive information on experimental and analytic methods for each data set. A Data Intersection tool allows selection of a list of genes (proteins) in common between two or more data sets and outputs the data for those genes (proteins) in the respective sets. In addition to its role as an integrative resource for the NCI-60, the CellMiner package also serves as a shell for incorporation of molecular profile data on other cell or tissue sample types.
conclusionCellMiner is a relational database tool for storing, querying, integrating, and downloading molecular profile data on the NCI-60 and other cancer cell types. More broadly, it provides a template to use in providing such functionality for other molecular profile data generated by academic institutions, public projects, or the private sector. CellMiner is available online at (http://discover.nci.nih.gov/cellminer/).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.