An integrated multi-omic analysis of iPSC-derived motor neurons from C9ORF72 ALS patients

Authors: Hemali Phatnani, Justin Kwan, Dhruv Sareen, James R. Broach, Zachary Simmons, Ximena Arcila-Londono, Edward B. Lee, Vivianna M Van Deerlin, Neil A. Shneider, Ernest Fraenkel, Lyle W. Ostrow, Frank Baas, Noah Zaitlen, James D. Berry, Andrea Malaspina, Pietro Fratta, Gregory A. Cox, Leslie M. Thompson, Steven Finkbeiner, Efthimios Dardiotis, Timothy M. Miller, Siddharthan Chandran, Suvankar Pal, Eran Hornstein, Daniel J. MacGowan, Terry Heiman‐Patterson, Molly Hammell, Nikolaos A. Patsopoulos, Oleg Butovsky, Josh Dubnau, Avindra Nath, Robert Bowser, Matt Harms, Mary Poss, Jennifer E. Phillips‐Cremins, John F. Crary, Nazem Atassi, Dale J. Lange, Darius J. Adams, Leonidas Stefanis, Marc Gotkine, Robert H. Baloh, Suma Babu, Towfique Raj, Sabrina Paganoni, Ophir Shalem, Colin Smith, Bin Zhang, Brent T. Harris, Iris Broce, Vivian E. Drory, John Ravits, Corey T. McMillan, Vilas Menon, Lani F. Wu, Steven J. Altschuler, Jonathan Li, Ryan G. Lim, Julia Kaye, Victoria Dardov, Alyssa N. Coyne, Jie Wu, Pamela Milani, Andrew T. Cheng, Terri G. Thompson, Loren Ornelas, Aaron P. Frank, Miriam Adam, Maria G. Bañuelos, Malcolm Casale, Veerle Cox, Renan Escalante-Chong, J. Gavin Daigle, Emilda Gomez, Lindsey R. Hayes, Ronald Holewenski, Susan Lei, Alex Lenail, Leandro de Araújo Lima, Berhan Mandefro, Andrea Matlock, Lindsay Panther, Natasha Leanna Patel-Murray, Jacqueline T. Pham, Divya Ramamoorthy, Karen Sachs, Brandon Shelley, Jennifer Stocksdale, Hannah Trost, Mark Wilhelm, Vidya Venkatraman, Brook T. Wassie, Stacia K. Wyman, Stephanie Yang, Jennifer E. Van Eyk, Thomas E. Lloyd, Steven Finkbeiner, Ernest Fraenkel, Jeffrey D. Rothstein, Dhruv Sareen, Clive N. Svendsen, Leslie M. Thompson - iScience 2021 cited by 50

and control motor neurons. Many individual -omics differed by protocol, but some core dysregulated pathways were consistent. This strategy of analyzing patient-specific neurons provides disease-related outcomes with small numbers of heterogeneous lines and reduces variation from single-omics to elucidate network-based signatures.