The presence of senile plaques is one of the major pathological hallmarks of the Alzheimer’s disease (AD) brain. The plaques predominantly contain insoluble amyloid β-peptide; a cleavage product of the larger amyloid precursor protein (APP). Two enzymes named β and γ secretase generate the neurotoxic amyloid-β peptide from APP. Mature APP is also turnovered endogenously by autophagy, more specifically by the endosomal-lysosomal pathway. A defective lysosomal system is known to be pathogenic in AD. Modulation of NF-E2 related factor 2 (Nrf2) has been shown in several neurodegenerative disorders and Nrf2 has become a potential therapeutic target for various neurodegenerative disorders including AD, Parkinson’s disease, and amyotrophic lateral sclerosis. In the current study, we explored the effect of genetic ablation of Nrf2 on APP/Aβ processing and/or aggregation as well as changes in autophagic dysfunction in APP/PS1 mice. There was a significant increase in inflammatory response in APP/PS1 mice lacking Nrf2. This was accompanied by increased intracellular levels of APP, Aβ (1-42), and Aβ (1-40), without a change total full-length APP. There was a shift of APP and Aβ into the insoluble fraction, as well as increased poly-ubiquitin conjugated proteins in mice lacking Nrf2. APP/PS1-mediated autophagic dysfunction is also enhanced in Nrf2 deficient mice. Finally, neurons in the APP/PS1/Nrf2−/− mice had increased accumulation of multivesicular bodies, endosomes and lysosomes. These outcomes provide a better understanding of the role of Nrf2 in modulating autophagy in an AD mouse model and may help design better Nrf2 targeted therapeutics that could be efficacious in the treatment of AD.

Synthetic gene circuits that precisely control human cell function could expand the capabilities of gene- and cell-based therapies. However, platforms for developing circuits in primary human cells that drive robust functional changes in vivo and have compositions suitable for clinical use are lacking. Here, we developed synthetic zinc finger transcription regulators (synZiFTRs), which are compact and based largely on human-derived proteins. As a proof of principle, we engineered gene switches and circuits that allow precise, user-defined control over therapeutically relevant genes in primary T cells using orthogonal, US Food and Drug Administration–approved small-molecule inducers. Our circuits can instruct T cells to sequentially activate multiple cellular programs such as proliferation and antitumor activity to drive synergistic therapeutic responses. This platform should accelerate the development and clinical translation of synthetic gene circuits in diverse human cell types and contexts.

Although the main focus in Alzheimer’s disease (AD) has been an investigation of mechanisms causing Aβ plaque deposition and tau tangle formation, recent studies have shown that phosphorylated TDP-43 pathology is present in up to 50% of sporadic cases. Furthermore, elevated phosphorylated TDP-43 has been associated with more severe AD pathology. Therefore, we hypothesized that TDP-43 may regulate amyloid-beta precursor protein (APP) trafficking and tau phosphorylation/aggregation. In order to examine the role of TDP-43 in AD, we developed a transgenic mouse that overexpresses hippocampal and cortical neuronal TDP-43 in a mouse expressing familial mutations (K595N and M596L) in APP and presenilin 1 (PSEN1ΔE9). In our model, increased TDP-43 was related to increased tau aggregation as evidenced by thioflavin S-positive phosphorylated tau, which may implicate TDP-43 expression in pre-tangle formation. In addition, there was increased endosomal/lysosomal localization of APP and reduced Aβ plaque formation with increased TDP-43. Furthermore, there was decreased calcineurin with elevated TDP-43 expression. Since calcineurin is a phosphatase for TDP-43, the decreased calcineurin expression may be one mechanism leading to an increase in accumulation of diffuse phosphorylated TDP-43 in the hippocampus and cortex. We further show that when TDP-43 is knocked down there is an increase in calcineurin. In our model of selective TDP-43 overexpression in an APP/PSEN1 background, we show that TDP-43 decreases Aβ plaque deposition while increasing abnormal tau aggregation. These observations indicate that TDP-43 may play a role in regulating APP trafficking and tau aggregation. Our data suggest that TDP-43 could be a putative target for therapeutic intervention in AD affecting both Aβ plaque formation and tauopathy.

Cytokines are cell-to-cell signaling proteins that play a central role in immune development, pathogen responses, and diseases. Cytokines are highly regulated at the transcriptional level by combinations of transcription factors (TFs) that recruit cofactors and the transcriptional machinery. Here, we mined through three decades of studies to generate a comprehensive database, CytReg, reporting 843 and 647 interactions between TFs and cytokine genes, in human and mouse respectively. By integrating CytReg with other functional datasets, we determined general principles governing the transcriptional regulation of cytokine genes. In particular, we show a correlation between TF connectivity and immune phenotype and disease, we discuss the balance between tissue-specific and pathogen-activated TFs regulating each cytokine gene, and cooperativity and plasticity in cytokine regulation. We also illustrate the use of our database as a blueprint to predict TF–disease associations and identify potential TF–cytokine regulatory axes in autoimmune diseases. Finally, we discuss research biases in cytokine regulation studies, and use CytReg to predict novel interactions based on co-expression and motif analyses which we further validated experimentally. Overall, this resource provides a framework for the rational design of future cytokine gene regulation studies.

Proper cytokine gene expression is essential in development, homeostasis and immune responses. Studies on the transcriptional control of cytokine genes have mostly focused on highly researched transcription factors (TFs) and cytokines, resulting in an incomplete portrait of cytokine gene regulation. Here, we used enhanced yeast one-hybrid (eY1H) assays to derive a comprehensive network comprising 1380 interactions between 265 TFs and 108 cytokine gene promoters. Our eY1H-derived network greatly expands the known repertoire of TF–cytokine gene interactions and the set of TFs known to regulate cytokine genes. We found an enrichment of nuclear receptors and confirmed their role in cytokine regulation in primary macrophages. Additionally, we used the eY1H-derived network as a framework to identify pairs of TFs that can be targeted with commercially-available drugs to synergistically modulate cytokine production. Finally, we integrated the eY1H data with single cell RNA-seq and phenotypic datasets to identify novel TF–cytokine regulatory axes in immune diseases and immune cell lineage development. Overall, the eY1H data provides a rich resource to study cytokine regulation in a variety of physiological and disease contexts.

Recent whole-genome sequencing studies have identified millions of somatic variants present in tumor samples. Most of these variants reside in non-coding regions of the genome potentially affecting transcriptional and post-transcriptional gene regulation. Although a few hallmark examples of driver mutations in non-coding regions have been reported, the functional role of the vast majority of somatic non-coding variants remains to be determined. This is because the few driver variants in each sample must be distinguished from the thousands of passenger variants and because the logic of regulatory element function has not yet been fully elucidated. Thus, variants prioritized based on mutational burden and location within regulatory elements need to be validated experimentally. This is generally achieved by combining assays that measure physical binding, such as chromatin immunoprecipitation, with those that determine regulatory activity, such as luciferase reporter assays. Here, we present an overview of in silico approaches used to prioritize somatic non-coding variants and the experimental methods used for functional validation and characterization.

Cytokines play a central role in immune development, pathogen responses, and diseases. Cytokines are highly regulated at the transcriptional level by combinations of transcription factors (TFs) that recruit cofactors and the transcriptional machinery. Here, we review three decades of studies to generate a comprehensive database reporting 843 and 647 interactions between TFs and cytokines genes, in human and mouse respectively (http://cytreg.bu.edu). We provide a historic perspective on cytokine regulation discussing research trends and biases. More importantly, by integrating this comprehensive database with other functional datasets, we determine general principles governing the transcriptional regulation of cytokine genes. In particular, we show a correlation between TF connectivity and immune phenotype and disease, we discuss the balance between tissue-specific and pathogen-activated TFs regulating each cytokine gene, and cooperativity and plasticity in cytokine regulation. Finally, we illustrate the use of our database as a blueprint to study TF-cytokine regulatory axes in autoimmune diseases.All rights reserved. No reuse allowed without permission.was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.

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