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PLoS Computational Biology Issue Image | Vol. 18(7) August 2022

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Single-cell network biology deciphers gene regulatory circuits and repurposes drugs in brain diseases

Alzheimer's Disease (AD) causes changes of gene expression and regulation within the brain cells. Understanding how these changes at the cell-type level is critical to identifying genetic biomarkers and potential drug targets. The work by Gupta et al. predicted the gene regulatory networks along with cooperative circuits of transcription factors for major neuronal and glial cell types in the human brain, and analyzed their changes in AD. Using these cell-type networks, this work repurposed FDA approved drugs and identified novel genes likely involved in AD pathology at cellular resolution, aiming to move network biology forward to single-cell network medicine.

Image Credit: Dr. Chirag Gupta and Dr. Daifeng Wang, University of Wisconsin - Madison

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Single-cell network biology deciphers gene regulatory circuits and repurposes drugs in brain diseases

Alzheimer's Disease (AD) causes changes of gene expression and regulation within the brain cells. Understanding how these changes at the cell-type level is critical to identifying genetic biomarkers and potential drug targets. The work by Gupta et al. predicted the gene regulatory networks along with cooperative circuits of transcription factors for major neuronal and glial cell types in the human brain, and analyzed their changes in AD. Using these cell-type networks, this work repurposed FDA approved drugs and identified novel genes likely involved in AD pathology at cellular resolution, aiming to move network biology forward to single-cell network medicine.

Image Credit: Dr. Chirag Gupta and Dr. Daifeng Wang, University of Wisconsin - Madison

https://doi.org/10.1371/image.pcbi.v18.i07.g001