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Fluorescent microscope image of co-cultured neurons.The neurons, astrocytes, and microglia are coloured in red, pink, and green, respectively, demonstrating the expression of cell-cell interactions similar to those observed in the brain.

Neuroscience - Gene Network Analysis

Bespoke Neuropharmacology Discovery Services utilizing Human iPSC-Derived Cells with Co/Tri-culture and Cellular Aging Technologies, combined with Advanced Gene Network Analysis. Driven by pharmaceutical-experienced Neuroscientists and Data Scientists to accelerate your Drug Discovery.

Gene Network Analysis service

Our Gene Network Analysis technology offers a cutting-edge solution for deciphering complex biological interactions. Leveraging proprietary algorithms, our platform mines your gene expression data from RNA-Seq and microarray studies to visualize upstream and downstream relationships between genes. This innovative approach empowers researchers to hypothesize drug mechanisms and identify key gene targets, addressing the challenges of exploring intricate gene networks. 
 
The core strength of our service lies in its unique combination of advanced variable compression techniques, high-efficiency supercomputing resources, and the integrated expertise of pharmacologists and computational biologists. This collaborative synergy enables us to deliver biologically meaningful insights, uncovering organic connections between genes that traditional methods often fail to detect. 
 
Our technology not only enhances the interpretability of gene networks but also provides actionable insights into biological processes such as aging, inflammation, and disease progression. By identifying potential therapeutic targets through comprehensive network analysis, we empower researchers to drive scientific discoveries and accelerate the development of innovative treatments. 
 
Unlock new possibilities in your research with our Gene Network Analysis service and experience the transformative potential of data-driven network insights.

Two fluorescent microscope images of cells and the text "Clustering-based Gene Network analysis‘ and ’Supercomputing with in-house algorithm," along with an image of a supercomputer. The concept for analysing the correlation between astrocyte morphological changes induced by cytokine stimulation and gene information is described.
A tree diagram showing gene information correlations. By grouping correlated gene information, this demonstrates the relationship between biological responses and gene information.
Publication :
Poster presentation at Society of Neuroscience in 2023 : 
  • Neurotoxic human iPSC-astrocytes and gene expression network analysis to identify drug targets for neurodegenerative diseases (Hayato Kobayashi, Kiyohiro Maeda, Kenichi Kazetani, Akira Nabetani, Setsu Endoh-Yamagami)