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_16
Snippet: To replicate our bioenergetic findings, we performed in silico validation studies ("lookup" studies) using three independent datasets (Stanley Medical Research Institute (SMRI), Mount Sinai School of Medicine (MSSM), and a frontal cortical neuron RNAseq dataset generated from IPSCs of a patient with schizophrenia and DISC1 mutation (61)). Table 2 summarizes findings from this study and previous studies in our laboratory, as well as the mRNA expre.....
Document: To replicate our bioenergetic findings, we performed in silico validation studies ("lookup" studies) using three independent datasets (Stanley Medical Research Institute (SMRI), Mount Sinai School of Medicine (MSSM), and a frontal cortical neuron RNAseq dataset generated from IPSCs of a patient with schizophrenia and DISC1 mutation (61)). Table 2 summarizes findings from this study and previous studies in our laboratory, as well as the mRNA expression of our selected seed genes (LDHA, HK1, PFKM, PFKL, GPI, PFKFB2) in each dataset.
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