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Abstract Activating transcription factor 4 (ATF4) plays a central role in the integrated stress response (ISR) and one overlapping branch of the unfolded protein response (UPR). We recently reported that the splicing inhibitor isoginkgetin (IGG) induced ATF4 protein along with several known ATF4-regulated transcripts in a response that resembled the ISR and UPR. However, the contribution of ATF4-dependent and -independent transcriptional responses to IGG exposure was not known. Here we used RNA-sequencing in HCT116 colon cancer cells and an isogenic subline lacking ATF4 to investigate the contribution of ATF4 to IGG-induced changes in gene expression. Approximately 85% of the IGG-responsive DEGs in HCT116 cells were also differentially expressed in response to the ER stressor thapsigargin (Tg) and these were enriched for genes associated with the UPR and ISR. Most of these were positively regulated by IGG with impaired responses in the ATF4-deficient cells. Nonetheless, there were DEGs that responded similarly in both cell lines. The ATF4-independent IGG-induced DEGs included several metal responsive transcripts encoding metallothionines and a zinc transporter. Taken together, the predominant IGG response was ATF4-dependent in these cells and resembled the UPR and ISR while a second less prominent response involved the ATF4-independent regulation of metal responsive mRNAs.

Molecular mechanisms behind the etiology and pathophysiology of major depressive disorder and suicide remain largely unknown. Recent molecular studies of expression of serotonin, GABA and CRH receptors in various brain regions have demonstrated that molecular factors may contribute to the development of depressive disorder and suicide behaviour. Here, we used microarray analysis to examine the expression of genes in brain tissue (frontopolar cortex) of individuals who had been diagnosed with major depressive disorder and died by suicide, and those who had died suddenly without a history of depression. We analyzed the list of differentially expressed genes using pathway analysis, which is an assumption-free approach to analyze microarray data. Our analysis revealed that the differentially expressed genes formed functional networks that were implicated in cell to cell signaling related to synapse maturation, neuronal growth and neuronal complexity. We further validated these data by randomly choosing (100 times) similarly sized gene lists and subjecting these lists to the same analyses. Random gene lists did not provide highly connected gene networks like those generated by the differentially expressed list derived from our samples. We also found through correlational analysis that the gene expression of control participants was more highly coordinated than in the MDD/suicide group. These data suggest that among depressed individuals who died by suicide, wide ranging perturbations of gene expression exist that are critical for normal synaptic connectively, morphology and cell to cell communication.