The Center for Cancer Genomics (CCG) was established to unify the National Cancer Institute's activities in cancer genomics, with the goal of advancing genomics research and translating findings into the clinic to improve the precise diagnosis and treatment of cancers. In addition to promoting genomic sequencing approaches, CCG aims to accelerate structural, functional and computational research to explore cancer mechanisms, discover new cancer targets, and develop new therapeutics. The Office of Cancer Genomics and The Cancer Genome Atlas Program Office are the CCG member offices that work to achieve the center’s mission.
Center for Cancer Genomics
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRi) plasmids
CTD2 researchers at the University of California in San Francisco developed a modified Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) CRISPR/dCas9 system. Catalytically inactive dCas9 enables modular and programmable RNA-guided genome regulation in eukaryotes. The CRISPR/dCas9 system has several advantages: i) enables robust gene repression (CRISPRi) or activation (CRISPRa) in human cells, ii) allows specific knockdown with minimal off-target effects in human cells, iii) works efficiently in human and yeast cells, and iv) does not cause double-strand breaks. Plasmid design and construction for CRISPRi (human and yeast cells) are described in the manuscript listed below and are available through a distributor.
Gilbert LA, Larson MH, Morsut L, Liu Z, Brar GA, Torres SE, Stern-Ginossar N, Brandman O, Whitehead EH, Doudna JA, Lim WA, Weissman JS, Qi LS (2013). CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes. Cell 154(2):422-51. PMID: 23849981
National Cancer Institute
Visit the NCI website for comprehensive cancer information.
Online Bioinformatics Tutorials
Bioinformatics is a scientific discipline that applies computer science and information technology to help understand biological processes. The NIH provides a list of free online bioinformatics tutorials, either generated by the NIH Library or other institutes, which includes introductory lectures and "how to" videos on using various tools.
Open versus Controlled-Access Data
OCG employs stringent human subjects’ protection and data access policies to protect the privacy and confidentiality of the research participants. Depending on the risk of patient identification, OCG programs data are available to the scientific community in two tiers: open or controlled access. Both types of data can be accessed through its corresponding OCG program-specific data matrix or portal.
Data within this category presents minimal risk of participant identification. Much of OCG program data, excluding patient identifiers, are open-access. OCG provides the scientific community the maximum amount of open-access data allowable under HIPAA guidelines. Access to these data does not require user certification, and researchers may explore data content without restriction.
Data within this category present a higher risk of patient identification. While stripped of direct patient identifiers as defined by HIPAA, controlled-access data contain specific demographic, clinical, and genotypic information that are excluded in open-access data. Controlled-access data are unique and valuable to research projects for which open-access data are insufficient. Access to protected data requires user certification which can be obtained through NCBI’s dbGaP (National Center for Biotechnology Information’s database of Genotypes and Phenotypes).
To learn more and understand which data each OCG program provides, visit How to Access Multiple Datasets.
Protein-Protein Interaction Reagents
The CTD2 Center at Emory University has a library of genes used to study protein-protein interactions in mammalian cells. These genes are cloned in different mammalian expression vectors. A list of available cancer-associated genes can be accessed below.
Contact: Haian Fu
What is Cancer?
A brief explanation of how cancer forms, basic statistics, and links to additional resources.