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A549 has also been employed in viral research and associated protein expression changes as a consequence of viral infection. [10] Although A549 is a cancer cell line, it has also been studied for its response to tuberculosis, specifically the production of chemokines as it is induced by the invading bacteria. [11]
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.
Lewis lung carcinoma is a hypermutated Kras/Nras–mutant cancer with extensive regional mutation clusters in its genome. A tumor that spontaneously developed as an epidermoid carcinoma in the lung of a C57BL mouse. It was discovered in 1951 by Dr. Margaret Lewis of the Wistar Institute and became one of the first transplantable tumors. [1]
The COSMIC (Catalogue of Somatic Mutations in Cancer) database was designed to collect and display information on somatic mutations in cancer. It was launched in 2004, with data from just four genes, HRAS, KRAS2, NRAS and BRAF. [6] These four genes are known to be somatically mutated in cancer. Since its creation, the database has expanded rapidly.
In the lung, the median TMB across more than 18,000 lung cancer cases was 7.2 mutations/Mb, with approximately 12% of the patients showing more than 20 mutations/Mb. [24] The authors identified a tumor mutational burden greater than or equal to 10 mutations/Mb as the optimal cut-off to benefit from combination immunotherapy . [ 24 ]
The Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer is a free-access database devoted to chromosomes, genes, and cancer. It was first published in 1983 as a book named "Catalog of Chromosome aberrations in Cancer" in the Journal of Cytogenetics and Cell Genetics, containing 3,844 cases. [ 1 ]
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.
dbSNP is an online resource implemented to aid biology researchers. Its goal is to act as a single database that contains all identified genetic variation, which can be used to investigate a wide variety of genetically based natural phenomena.
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