Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes

Autor: Francis Grafton, Jaclyn Ho, Sara Ranjbarvaziri, Farshad Farshidfar, Anastasiia Budan, Stephanie Steltzer, Mahnaz Maddah, Kevin E Loewke, Kristina Green, Snahel Patel, Tim Hoey, Mohammad Ali Mandegar

Publikováno v: eLife, Vol 10 (2021)

Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-stage drug attrition, pharmaceutical and biotechnology industries need to establish biologically relevant models that use phenotypic screening to dete

Externí odkaz: https://doaj.org/article/ac40721906f04a0b8947457bd4ad3670

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy

Autor: Jin Yang, Francis Grafton, Sara Ranjbarvaziri, Ana Budan, Farshad Farshidfar, Marie Cho, Emma Xu, Jaclyn Ho, Mahnaz Maddah, Kevin E. Loewke, Julio Medina, David Sperandio, Snahel Patel, Tim Hoey, Mohammad A. Mandegar

Publikováno v: Science translational medicine. 14(652)

Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enlargement of left ventricular chambers. These characteristics eventually lead to heart failure. Current standards of care do not target the underlying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb087098594330648b8ab9ba7ac091b6
https://pubmed.ncbi.nlm.nih.gov/35896800

Author response: Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes

Autor: Kristina Green, Farshad Farshidfar, Sara Ranjbarvaziri, Patel Snahel, Jaclyn J. Ho, Mahnaz Maddah, Mohammad A. Mandegar, Tim Hoey, Stephanie Steltzer, Francis Grafton, Anastasiia Budan, Kevin E. Loewke

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a288d2a8add948bff2c2e180b7a97cfd
https://doi.org/10.7554/elife.68714.sa2

Quantifying drug-induced structural toxicity in hepatocytes and cardiomyocytes derived from hiPSCs using a deep learning method

Autor: Keri Dame, Kevin E. Loewke, Alexandre J.S. Ribeiro, Francis Grafton, Mahnaz Maddah, Mohammad A. Mandegar

Publikováno v: Journal of Pharmacological and Toxicological Methods. 105:106895

Cardiac and hepatic toxicity result from induced disruption of the functioning of cardiomyocytes and hepatocytes, respectively, which is tightly related to the organization of their subcellular structures. Cellular structure can be analyzed from micr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::073a5ebdad1af1f5f160d984d4a74e50
https://doi.org/10.1016/j.vascn.2020.106895

A Non-invasive Platform for Functional Characterization of Stem-Cell-Derived Cardiomyocytes with Applications in Cardiotoxicity Testing

Autor: Chase D. Walker, Mohammad A. Mandegar, Sara Bolouki, Mahnaz Maddah, Kevin E. Loewke, Julia D. Heidmann, Bruce R. Conklin

Publikováno v: Stem Cell Reports
Stem cell reports, vol 4, iss 4
Maddah, M; Heidmann, JD; Mandegar, MA; Walker, CD; Bolouki, S; Conklin, BR; et al.(2015). A non-invasive platform for functional characterization of stem-cell-derived cardiomyocytes with applications in cardiotoxicity testing. Stem Cell Reports, 4(4), 621-631. doi: 10.1016/j.stemcr.2015.02.007. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/8z01t89c
Stem Cell Reports, Vol 4, Iss 4, Pp 621-631 (2015)

Summary We present a non-invasive method to characterize the function of pluripotent stem-cell-derived cardiomyocytes based on video microscopy and image analysis. The platform, called Pulse, generates automated measurements of beating frequency, bea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8eb0c397c14e65255438d992efd2289
http://europepmc.org/articles/PMC4400609