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Database Institute / Organization Alteration Types Primary Source [t 1] Processed Data [t 2] Organisms Cell lines [t 3] Public Data [t 4] Restricted Data [t 5]; The BioExpress® Oncology Suite from Ocimum Bio Solutions contains gene expression data from primary, metastatic, and benign tumor samples, and normal samples, including matched adjacent controls.
Scientists study the behaviour of isolated cells grown in the laboratory for insights into how cells function in the body in health and disease. Experiments using cell culture are used for developing new diagnostic tests and new treatments for diseases. This is a list of major breast cancer cell lines that are primarily used in breast cancer ...
Cervical cancer gene database; Ensembl: provides automatic annotation databases for human, mouse, other vertebrate and eukaryote genomes; Ensembl Genomes: provides genome-scale data for bacteria, protists, fungi, plants and invertebrate metazoa, through a unified set of interactive and programmatic interfaces (using the Ensembl software platform)
Cellosaurus is an online knowledge base on cell lines, which attempts to document all cell lines used in biomedical research. [1] It is provided by the Swiss Institute of Bioinformatics (SIB). It is an ELIXIR Core Data Resource [ 2 ] [ 3 ] as well as an IRDiRC's Recognized Resource. [ 4 ]
Originally the cell line was named MCF-7/ADR-RES; it was renamed together with the change in classification. [8] Two brain cancer cell lines, SNB-19 and U251, were discovered to come from the same person. [9] This makes a mixup likely. A 61st cell line, MDA-N, has been confirmed to being derived from the misclassified MDA-MB-435 cell line. [7]
However, DMC1 is also expressed in various cancer cell lines including cervical, breast, and lymphoma cancer cell lines. [9] Expression of meiotic DNA repair genes such as DMC1 may promote tumor cell growth by dealing with endogenous DNA damage within the tumor, and may also diminish the effectiveness of anticancer therapy, such as radiation ...
The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.
To investigate these events, the discovery sample set will include DNA from primary tumor, normal tissue (from the same individuals) and cancer cell lines. All results from this project are amalgamated and stored within the COSMIC cancer database. COSMIC also includes mutational data published in scientific literature.