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. 2019 Sep 11;5(9):eaau4139. doi: 10.1126/sciadv.aau4139

Fig. 1. An overview of the current study.

Fig. 1

(A and B) Obtaining gene expression data generated from DLPFC (CMC data) and later CNON data as an independent validation. (C) Transcriptional network reconstruction based on the RNA-seq data using algorithm for reconstruction of accurate cellular networks (ARACNe) and identification of TCF4 as a disease-relevant MR. (D) Knockdown of TCF4 in hiPSCs derived from a patient with SCZ and two unaffected individuals. (E) Differentiation of hiPSC into neural progenitor cells (NPCs) and glutamatergic neurons (Glut_Ns). (F) RNA-seq of the generated neuronal cells with and without TCF4 knockdown. (G) Downstream inferences and analysis of the conducted experiments.