AUTHOR=Pun Frank W. , Liu Bonnie Hei Man , Long Xi , Leung Hoi Wing , Leung Geoffrey Ho Duen , Mewborne Quinlan T. , Gao Junli , Shneyderman Anastasia , Ozerov Ivan V. , Wang Ju , Ren Feng , Aliper Alexander , Bischof Evelyne , Izumchenko Evgeny , Guan Xiaoming , Zhang Ke , Lu Bai , Rothstein Jeffrey D. , Cudkowicz Merit E. , Zhavoronkov Alex TITLE=Identification of Therapeutic Targets for Amyotrophic Lateral Sclerosis Using PandaOmics – An AI-Enabled Biological Target Discovery Platform JOURNAL=Frontiers in Aging Neuroscience VOLUME=14 YEAR=2022 URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2022.914017 DOI=10.3389/fnagi.2022.914017 ISSN=1663-4365 ABSTRACT=
Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease with ill-defined pathogenesis, calling for urgent developments of new therapeutic regimens. Herein, we applied PandaOmics, an AI-driven target discovery platform, to analyze the expression profiles of central nervous system (CNS) samples (237 cases; 91 controls) from public datasets, and direct iPSC-derived motor neurons (diMNs) (135 cases; 31 controls) from Answer ALS. Seventeen high-confidence and eleven novel therapeutic targets were identified and will be released onto ALS.AI (