About TranscriptoNET ...
TranscriptoNET is an open-access, online resource developed by Kinexus Bioinformatics Corporation to foster systems proteomics research in academia and industry. It features comprehensive information on the mRNA expression levels of about 23,000 genes in about 600 types of human organs, tissues and cells as measured with gene microarrays. The original data used in TranscriptoNET was retrieved from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO), which serves as a repository of experimental gene microarray results submitted by diverse academic and industrial laboratories around the world. With the aid of our academic collaborators, Kinexus has normalized the data from over 900 different studies with over 6000 biological specimens to permit investigations of gene expression and potential interactions that can only be undertaken with such a large dataset of over 125,000,000 gene expression measurements. This normalization process was based on the identification of 60 genes that were commonly and highly expressed in all of the biological samples.
 
In the selection of human specimens for inclusion in TranscriptoNET, we have paid special interest to human tumours and cancer cell lines to identify the differential regulation of genes in cancer. We believe that this can uncover new potential oncogenes and tumour suppressor genes that may encode cancer protein biomarkers and drug targets. We invite the biomedical research community to use TranscriptoNET as a powerful tool for discovery of genes that are uniquely or commonly expressed throughout the human body, and to uncover possible functional interactions amongst the 23,000 proteins encoded by the human genome based on their co-expression patterns. The differential expression of genes determines the structures and biochemical activities in cells that define their physiological functions. TranscriptoNET could also be used to aid researchers in understanding how the body’s diverse organs, tissues and cells may be developmentally related.

Instructions ...
TranscriptoNET is designed to be fast and simple to navigate. Presently, there are 8 different types of queries that you can perform with TranscriptoNET. You can search for target gene or protein if you know its UniProt ID, RefSeq or International Protein Identification codes or one of its common alias names. A list of possible options for genes/proteins are generated by typing at least three letters of their name or identification number, and waiting for a few seconds for a complete list to appear. The optimum web browsers for using TranscriptoNET are Internet Explorer, Firefox and Safari.


Other Useful Online Resources From Kinexus ...
Other Useful Online Resources From Kinexus … TranscriptoNET, and its companion websites PhosphoNET and KinaseNET are the first of several planned on-line knowledgebases that will become available from Kinexus Bioinformatics Corporation as part of our SigNET KnowledgeBank in Kinetica Online to accelerate signal transduction research. Additional knowledgebases are in development for human protein phosphatases, adapter, stress proteins and transcription factors. For semi-quantitative data on actual protein expression in over 10,000 diverse biological specimens, please also visit our open-access KiNET DataBank with immunoblotting and antibody microarray analyses with over 800 pan- and phosphosite-specific antibodies.

Funding and Advertising Opportunities ...
To develop and sustain this free resource, we are seeking sponsorship from foundations and corporations. We gratefully acknowledge financial assistance for TranscriptoNET from the National Research Council of Canada Industrial Assistance Program and the Natural Sciences and Engineering Research Council of Canada. It is possible for commercial vendors of signal transduction reagents and services to advertise their relevant products and services on this site. Interested parties should contact our Sales and Marketing Department at info@kinexus.ca or call toll free in North America 1-866-KINEXUS.
 
Copyright 2011 Kinexus Bioinformatics Corporation