News
Research results of a mouse model of chronic kidney disease (AXCC mice) generated in Axcelead DDP has been published in the American Journal of Pathology as a co-authored article.
A novel deep learning approach for analyzing glomerular basement membrane lesions in a mouse model of X-linked Alport syndrome
The study shows that female AXCC mice carrying a nonsense mutation in the COL4A5 gene of human Alport syndrome that was generated in AxceleadDDP, exhibit a mosaic expression pattern of abnormal type IV collagen in the renal glomeruli, mimicking the pathology of female patients with Alport syndrome. The evaluations conducted at the University of Tsukuba, Showa University, and AxceleadDDP, respectively, demonstrated the usefulness of AI-based pathological image analysis techniques and valuable findings for prognostic prediction and early therapeutic intervention for Alport syndrome.
Axcelead DDP Solution
In this case, pathological image analysis using HALO (indica Labs) performed at AxceleadDDP deeply contributed to the research achievements as one of the key result. The value of the image analysis data is further enhanced by combining AI-based analysis tools with the knowledge and skills of pathology experts. The service could be used for evaluation of drug efficacy and toxicity, MOA analysis, and pharmacokinetic studies in various organs, tissues, and cells, and please contact us to discuss your solution.
Related Resouces : University of Tsukuba
Related Publication : AXCC mouse (Axcelead DDP-generated Col4a5 R471X-CKD model mouse)
2024.10.31
Ryosuke Kobayashi, DVM, PhD
I possess expertise in areas including veterinary and toxicologic pathology, safety assessment, and spatial omics analysis. we have a proven track record of providing the solutions that drive drug discovery research of our customers.
