Connectivity Map. Worldwide Network Connection. Stock Vector Illustration of modern These are the questions the Connectivity Map project set. Such a catalog of connections could serve as a functional look-up table of the genome; we termed this concept the Connectivity Map (CMap)
Connectivity map of interactions among genes differently expressed from www.researchgate.net
The Connectivity Map is a collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms that together enable the discovery of decisive functional connections between drugs, genes, and diseases The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them
Connectivity map of interactions among genes differently expressed
Here, we report more than a 1,000-fold scale-up of the CMap as part of the NIH LINCS Consortium, made possible by a new, low-cost, high-throughput reduced representation. To date, CMap has generated a library containing over 1.5M gene expression profiles from ~5,000 small-molecule compounds, and ~3,000 genetic reagents, tested in multiple cell types We demonstrate that this "Connectivity Map" resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs
Global network connection. World map point and line composition concept. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs, and disease states are connected by virtue of common gene-expression signatures
The Edge Network. The Connectivity Map is the most comprehensive effort yet for using genomics in a drug-discovery framework The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them