May 21st: Pathway Analysis of Serological Metabolite Profiles in Rheumatoid Arthritis
September 28th
Scientific Webinar
Identifying molecular pathway signatures for the growth and maintenance of human CD 44+/24- stem cell-like breast cancer cell populations.
10am San Francisco | 1pm New York
May 8th
MetaDrug 11am EST: Pre-built and custom QSAR models in MetaDrug: accurate predictions from reliable data Register
MetaCore 1pm EST: Discovering Target-oriented mechanisms of action Register
May 2121
MetaCore 1pm EST: Pathway Analysis of Serological Metabolite Profiles in Rheumatoid Arthritis Register
- GeneGo is Awarded NCI Grant for Development of Systems Biology Platform for Integrative Data Analysis in Cancerpetitive Strategy Leadership Award...
- January 1, 2011
- Thomson Reuters acquires GeneGo ...
- June 10, 2010
- GeneGo Publication Designated Highly Accessed by BioMed Central ...
“Biologist see the importance of looking at the circuitry rather than just simple wiring. That is why MetaCore™ interactions are so much more powerful as they have directionality, show effect and mechanism of interaction all validated with papers one click away”.
“We compared several platforms before we finally decided on GeneGo. MetaCore™ has broad and deep, high quality content coverage, which was important to us. Furthermore its ability to work with mixed ID's is critical for our internal R&D work and service offerings based on our unique DSA™ (patent pending) research tools” said Dr Vitali Proutski, Bioinformatics Manager at Almac Diagnostics. “We were also very impressed by GeneGo's responsiveness and strong customer support which we feel is vital in relationships with our partners.”
More on GeneGo’s pathway analysis tools...Click here for more information.
Age-Dependent Brain Gene Expression and Copy Number Anomalies in Autism Suggest Distinct Pathological Processes at Young Versus Mature Ages | read
PLoS Genet 8(3): e1002592. doi:10.1371/journal.pgen.1002592
Autism is a highly heritable neurodevelopmental disorder, yet the genetic underpinnings of the disorder are largely unknown. Aberrant brain overgrowth is a well-replicated observation in the autism literature; but association, linkage, and expression studies have not identified genetic factors that explain this trajectory. Few studies have had sufficient statistical power to investigate whole-genome gene expression and genotypic variation in the autistic brain, especially in regions that display the greatest growth abnormality. Previous functional genomic studies have identified possible alterations in transcript levels of genes related to neurodevelopment and immune function. Thus, there is a need for genetic studies involving key brain regions to replicate these findings and solidify the role of particular functional pathways in autism pathogenesis. We therefore sought to identify abnormal brain gene expression patterns via whole-genome analysis of mRNA levels and copy number variations (CNVs) in autistic and control postmortem brain samples. We focused on prefrontal cortex tissue where excess neuron numbers and cortical overgrowth are pronounced in the majority of autism cases. We found evidence for dysregulation in pathways governing cell number, cortical patterning, and differentiation in young autistic prefrontal cortex. In contrast, adult autistic prefrontal cortex showed dysregulation of signaling and repair pathways. Genes regulating cell cycle also exhibited autism-specific CNVs in DNA derived from prefrontal cortex, and these genes were significantly associated with autism in genome-wide association study datasets. Our results suggest that CNVs and age-dependent gene expression changes in autism may reflect distinct pathological processes in the developing versus the mature autistic prefrontal cortex. Our results raise the hypothesis that genetic dysregulation in the developing brain leads to abnormal regional patterning, excess prefrontal neurons, cortical overgrowth, and neural dysfunction in autism.
Vioxx® - drug repurposing, side effects (3:12 min)
Mebendazole - MOA, expression data, repurposing (3:24 min)
Alzheimer’s drugs - drug comparison, off-target effects (2:58 min)
Stem cell proliferators - chemical library profiling, MOA, toxicity (3:32 min)
Edited by Yuri Nikolsky and Julie Bryant, GeneGo, Inc.
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GeneGo’s unique systems reconstruction technology for systems biology enables complete reconstruction of mammalian cellular functionality from high fidelity “benchmark” interactions data at all three levels:
Stimuli (ligand-receptor interactions)
Cell signaling and regulation
Effect (core metabolism)
Through our pathway analysis software & knowledge mining applications, experimental data is analyzed in our systems reconstruction framework to deduce the pathways, genes, proteins and metabolites most relevant for the disease and condition.