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Category Genomics>Gene Expression Analysis/Profiling/Tools Abstract Oncomine Professional is an advanced online cancer gene expression analysis system. Product combines a rapidly growing compendium of 20,000+ cancer transcriptome profiles with an advanced analysis engine and web application for data-mining and visualization. Oncomine was developed to exploit cancer transcriptome data for therapeutic target discovery, validation, and prioritization. The Oncomine analysis engine pre-computes gene expression signatures, clusters and gene set modules so you can focus on discovery. Oncomine was developed by physicians, scientists, and software engineers at the University of Michigan. Product features include:
With Oncomine Professional you can - 1) Compare gene expression profiles between normal and cancer samples; 2) Compare gene expression between different molecular, pathological, and clinical subtypes of cancer; 3) Identify potential drug targets by filtering for ‘druggable’ gene families such as kinases and membrane-bound proteins; 4) Validate target gene expression in normal tissues, benign conditions, hematological malignancies and solid tumors; 5) Investigate expression of genes in pathways and networks associated with cancer; 6) Identify pathways, processes, chromosomal regions, and regulatory motifs activated in cancer. Wide Range of High Quality Data - Oncomine data includes profiles from a wide range of normal human tissues, benign conditions, hematological malignancies, and solid tumors. Data is continuously collected from high-impact peer-reviewed publications and becomes available just days after collection. Pathologists and molecular biologists carefully collect and standardize 'sample facts' related to the microarray profiles so that meaningful gene expression signatures can be derived. 'Sample facts' include diagnosis, grade, stage, clinical outcome, molecular alteration, biomarker status, and treatment response, among others. Gene Expression Signatures and Custom Results - Product is enhanced by a set of advanced analysis functions that compute gene expression signatures, clusters, and gene set modules, automatically extracting biological insights from the data. These pre- computed analyses facilitate user-friendly data-mining and customized reports via the Oncomine web application. This wealth of analyzed data can be examined in the context of a gene or pathology of interest. From a discovery standpoint, you can identify genes in a selected ontology or pathway that are most over-expressed in a selected pathology, such as membrane-bound receptors in metastatic melanoma or serinethreonine kinases in small cell lung cancer. From a validation or prioritization perspective, you can inspect the 'differential expression' of a target in a selected tissue or across the entire compendium, perhaps finding that a target is highly expressed in normal adrenal gland and is most over-expressed in prostate adenocarcinoma and acute lymphoblastic leukemia harboring E2A- PBX1 translocations. Such data indicates optimal disease populations for target investigation. Reports can be customized to focus on tissues, analysis types, and gene sets of interest. To date, over 1,300 gene expression signatures have been derived, each representing sets of genes deregulated in biologically or clinically important sets of samples. These signatures can be accessed in the Profile Search. For each signature, reports are available summarizing the cancer genes and known therapeutic targets most deregulated in the sample set, as well as the biological processes, signaling pathways, metabolic pathways, regulatory motifs, chromosome localizations and in vitro signatures that are most enriched or depleted in the signature. In addition, Oncomine includes tools to identify and visualize deregulated signaling pathways, metabolic pathways, and protein-protein interaction networks. Note 1: Integration of Oncomine with Ingenuity Pathways Analysis (see G6G Product Number 20017) - A key strength of the Oncomine system is the ease and speed at which abstract relationships between disparate concepts such as drug treatments and patient response can be identified. The scale, diversity, and independent nature of the data in the Oncomine system reinforces confidence in its results. When coupled with the Ingenuity Pathways Analysis, researchers are enabled with advanced tools to develop and test hypotheses, and then explore the causal basis for disease and clinical outcome at the systems level. You can navigate the large collection of public cancer profiling data (and internal data for Oncomine Enterprise edition customers) in Oncomine Professional and make comparisons, identify significant relationships, resulting gene lists. Analysis continues directly in Ingenuity Pathways Analysis with a subset of genes identified from a particular study and analysis in Oncomine. This capability enables valuable insights to be gained on how dysregulated genes interact in disease and potential targets for drugs. It also provides a large collection of gene expression studies that function as a virtual laboratory for further refinement in Ingenuity Pathways Analysis. Note 2: Oncomine Concepts Edition - Oncomine Concepts Edition builds on Oncomine Professional and includes Oncomine Concepts Map (Product Number 20015), an advanced signature mapping tool that is tightly integrated with Oncomine allowing you to search the Oncomine database for enrichment of user-defined gene signatures. Oncomine Enterprise Edition - Oncomine Enterprise Edition builds upon Oncomine Professional and Oncomine Concepts Edition by providing the ability to securely share user-defined signatures across teir organization and add a customer’s own internal gene expression datasets to the Oncomine and Oncomine database.
Operating system configuration Microsoft Windows™ XP Professional, Version 2002, Service Pack 2 Browser configuration Microsoft® Internet Explorer® 7 as well as version 6 Version 7.0.5730.11 Cipher Strength: 128-bit Settings: Internet Zone Security level for this zone: Medium-high Cookies: Accept Session Cookies. Accept First-Party Cookies Use SSL 3.0 JavaScript must be enabled. SVG viewer Adobe™ SVG Viewer 3.0 Other configuration notes Use of Oncomine does not typically require additional system memory beyond normal web-based applications, a lack of memory may cause performance degradation and instability in Microsoft Windows. Use of Oncomine with Mozilla Firefox® is not recommended due to errors which occur in the SVG viewer. Use of Oncomine along with Google® Web Accelerator is not recommended as caching results in a failure to update views. We do not have reports of success using Oncomine on Apple platforms. A number of limitations have been observed.
210 South Fifth Avenue, Suite A Ann Arbor, MI 48104 USA Tel: (734) 330-2259 Fax: (734) 222-0242 sales@compendiabio.com (info, site license)
Price Contact manufacturer G6G Product Number 20014 G6G Manufacturer Number 100644 |
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