Author: Courtney R. Sullivan; Catharine A. Mielnik; Sinead M. O’Donovan; Adam J. Funk; Eduard Bentea; Erica A.K. DePasquale; Zhexing Wen; Vahram Haroutunian; Pavel Katsel; Amy J. Ramsey; Jarek Meller; Robert E. McCullumsmith
Title: Connectivity analyses of bioenergetic changes in schizophrenia: Identification of novel treatments Document date: 2018_6_5
ID: ltb6l5xz_101
Snippet: To assess the biological underpinning of correlating transcriptional changes in our seed gene knockdown signatures from iLINCS, we performed traditional pathway analyses on panels of clustered upregulated and panels of clustered downregulated genes using Enrichr (http://amp.pharm.mssm.edu/Enrichr/) ( Table 3 , Figures S4-S17) (131, 134) . Analyses for panels of clustered upregulated genes (67 genes) and panels of clustered downregulated genes (69.....
Document: To assess the biological underpinning of correlating transcriptional changes in our seed gene knockdown signatures from iLINCS, we performed traditional pathway analyses on panels of clustered upregulated and panels of clustered downregulated genes using Enrichr (http://amp.pharm.mssm.edu/Enrichr/) ( Table 3 , Figures S4-S17) (131, 134) . Analyses for panels of clustered upregulated genes (67 genes) and panels of clustered downregulated genes (69 genes) were performed separately. We report results for KEGG cell signaling pathway, gene ontology (GO) molecular function, GO cellular components, protein-protein interacting partners, and dbGaP disease implications. Using the ChEA 2016 database in Enrichr, we also report transcription factors that have occupancy sites for a significant number of our panels of clustered genes. Finally, using LINCS L1000 database in Enrichr, we report kinases that when knocked down in specific cell lines, increase or decrease genes that are in our panels of clustered upregulated and downregulated gene data sets, respectively (Table 3 , Figures S4-S17 ).
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