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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.
This list, containing 488 cell lines, was last updated on 1 December 2016. [c] Cellosaurus also is maintaining a list of "problematic" cell lines. [6] The list is dynamically generated from all cell lines in the database with a comment containing the dedicated words "Problematic cell line". As of 17 January 2017, the list contains 757 entries.
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 ...
The Network of Cancer Genes (NCG) is a freely accessible web resource of genes that, when altered in their sequence, drive clonal expansion of normal tissues (healthy drivers) or cancer (cancer drivers). The project was launched in 2010 and has reached its 7th release in 2022.
A major goal of cancer genome sequencing is to identify driver mutations: genetic changes which increase the mutation rate in the cell, leading to more rapid tumor evolution and metastasis. [32] It is difficult to determine driver mutations from DNA sequence alone; but drivers tend to be the most commonly shared mutations amongst tumors ...
DU145, PC3, and LNCaP are considered to be the standard prostate cancer cell lines used in therapeutic research. [ 1 ] The DU145 cell line was derived from a central nervous system metastasis , of primary prostate adenocarcinoma origin, removed during a parieto-occipital craniotomy of a 69-year-old, White, male.
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.
Studies of various cell lines including glioblastoma cell lines, three prostate cancer cell lines, and a breast tumor cell line showed that suppressing miR-221 and miR-22 expression resulted in p27-dependent G1 growth arrest [16] Then when p27 was knocked down, cell growth resumed indicating a strong role for miRNA regulated p27. [16]