Deconvolution of Transcriptional Networks Identifies TCF4 As a Master Regulator in Schizophrenia
bioRxiv preprint doi: https://doi.org/10.1101/133363; this version posted May 16, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Deconvolution of Transcriptional Networks Identifies TCF4 as a Master Regulator in Schizophrenia Abolfazl Doostparast Torshizi1,2#, Chris Armoskus3,4, Siwei Zhang5,6, Hanwen Zhang5, Tade Souaiaia3,4, Marc P. Forrest7, Oleg V. Evgrafov3,4, James A. Knowles3,4, Jubao Duan5,6*, Kai Wang1,2,4,#* 1Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA 2Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 3College of Medicine, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA 4Zilkhe Neurogenetic Institute, University of Southern California, Los Angeles, CA 90089, USA 5Center for Psychiatric Genetics, North Shore University Health System, Evanston, IL 60201, USA 6Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL 60015, USA 7Department of Physiology, Northwestern University, Chicago, IL 60611, USA # Prior address: Department of Biomedical Informatics and Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA * To whom correspondence should be addressed 1 bioRxiv preprint doi: https://doi.org/10.1101/133363; this version posted May 16, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Tissue-specific reverse engineering of transcriptional networks has uncovered master regulators (MRs) of cellular networks in various cancers, yet the application of this method to neuropsychiatric disorders is largely unexplored.
[Show full text]