Cylindromatosis and the CYLD gene: new lessons on the molecular principles of epithelial growth control

Analysing cylindromatosis and the associated defects in the CYLD gene is providing novel insights into the molecular principles of epithelial growth control and carcinogenesis in, and beyond, the skin. In this review, we summarize the histopathology and histogenesis of cylindromas, and the available genetic information on patients with these skin appendage tumors. Focusing on recent data concerning the normal functions and signaling interactions of the CYLD gene product, we explain how CYLD interferes with TNF-alpha or TLR-mediated signaling as well as with JNK or NF-kappaB-dependent p65/50 signaling to limit inflammation. In addition, we delineate how CYLD interferes with activation of the proto-oncogene Bcl(3) and with cyclin D1 expression to limit tumorigenesis, and chart how tumor growth-promoting agents or UV light and inflammatory mediators can activate CYLD. We argue that these recent insights into CYLD function and cylindroma pathogenesis may lead to the development of novel molecular strategies for cancer prevention and treatment.     

Molecular Simulations of Solved Co-crystallized X-Ray Structures Identify Action Mechanisms of PDEδ Inhibitors

PDEδ is a small protein that binds and controls the trafficking of RAS subfamily proteins. Its inhibition protects initiation of RAS signaling, and it is one of the common targets considered for oncological drug development. In this study, we used solved x-ray structures of inhibitor-bound PDEδ targets to investigate mechanisms of action of six independent all-atom MD simulations. An analysis of atomic simulations combined with the molecular mechanic-Poisson-Boltzmann solvent accessible surface area/generalized Born solvent accessible surface area calculations led to the identification of action mechanisms for a panel of novel PDEδ inhibitors. To the best of our knowledge, this study is one of the first in silico investigations on co-crystallized PDEδ protein. A detailed atomic-scale understanding of the molecular mechanism of PDEδ inhibition may assist in the design of novel PDEδ inhibitors. One of the most common side effects for diverse small molecules/kinase inhibitors is their off-target interactions with cardiac ion channels and human-ether-a-go-go channel specifically. Thus, all of the studied PDEδ inhibitors are also screened in silico at the central cavities of hERG1 potassium channels.     

MgAtr7, a new type of ABC transporter from Mycosphaerella graminicola involved in iron homeostasis

The ABC transporter-encoding gene MgAtr7 from the wheat pathogen Mycosphaerella graminicola was cloned based upon its high homology to ABC transporters involved in azole-fungicide sensitivity. Genomic and cDNA sequences indicated that the N-terminus of this ABC transporter contains a motif characteristic for a dityrosine/pyoverdine biosynthesis protein. This makes MgAtr7 the first member of a new class of fungal ABC transporters harboring both a transporter and a biosynthetic moiety. A homologue of MgAtr7 containing the same biosynthetic moiety was only found in the Fusarium graminearum genome and not in any other fungal genome examined so far. The gene structure of both orthologous transporters is highly conserved and the genomic area surrounding the ABC transporter exhibits micro-synteny between M. graminicola and F. graminearum. Functional analyses revealed that MgAtr7 is neither required for virulence nor involved in fungicide sensitivity but indicated a role in maintenance of iron homeostasis.     

MgMfs1, a major facilitator superfamily transporter from the fungal wheat pathogen Mycosphaerella graminicola, is a strong protectant against natural toxic compounds and fungicides

MgMfs1, a major facilitator superfamily (MFS) gene from the wheat pathogenic fungus Mycosphaerella graminicola, was identified in expressed sequence tag (EST) libraries. The encoded protein has high homology to members of the drug:H(+) antiporter efflux family of MFS transporters with 14 predicted transmembrane spanners (DHA14), implicated in mycotoxin secretion and multidrug resistance. Heterologous expression of MgMfs1 in a hypersensitive Saccharomyces cerevisiae strain resulted in a strong decrease in sensitivity of this organism to a broad range of unrelated synthetic and natural toxic compounds. The sensitivity of MgMfs1 disruption mutants of M. graminicola to most of these compounds was similar when compared to the wild-type but the sensitivity to strobilurin fungicides and the mycotoxin cercosporin was increased. Virulence of the disruption mutants on wheat seedlings was not affected. The results indicate that MgMfs1 is a true multidrug transporter that can function as a determinant of pathogen sensitivity and resistance to fungal toxins and fungicides.     

Improved Equations for Estimating the Resting Metabolic Rate

New models were developed for predicting the resting metabolic rate (RMR) with sufficient accuracy for use in epidemiologic studies and for weight control of individuals. For this purpose, the RMR of 213 women and 76 men was measured, and physical measurements were taken. The RMR was regressed on correlates of RMR, avoiding harmful degrees of collinearity by rejecting interregressor correlations exceeding r=0.5. For women, the best model (R₂=0.71) included the regressors age, race, weight, pulse rate, smoking, and body temperature. The best model for males (R2 = 0.81) included age, race, weight, blood pressure, smoking, time (of day the RMR was measured), and whether subjects had a meal prior to calorimetry. The models were cross validated internally and also validated using an external database. In both cases, the mean estimated RMR did not differ significantly from the measured RMR. The accuracy of the models was compared with four models reported in the literature, three of which overestimated the RMR by up to 17%. In conclusion, improved RMR prediction models have been developed, more accurate than existing models, rendering them suitable for application to epidemiological databases and for individual weight control programs.     

Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights

Cortical circuits generate excitatory currents that must be cancelled by strong inhibition to assure stability. The resulting excitatory-inhibitory (E-I) balance can generate spontaneous irregular activity but, in standard balanced E-I models, this requires that an extremely strong feedforward bias current be included along with the recurrent excitation and inhibition. The absence of experimental evidence for such large bias currents inspired us to examine an alternative regime that exhibits asynchronous activity without requiring unrealistically large feedforward input. In these networks, irregular spontaneous activity is supported by a continually changing sparse set of neurons. To support this activity, synaptic strengths must be drawn from high-variance distributions. Unlike standard balanced networks, these sparse balance networks exhibit robust nonlinear responses to uniform inputs and non-Gaussian input statistics. Interestingly, the speed, not the size, of synaptic fluctuations dictates the degree of sparsity in the model. In addition to simulations, we provide a mean-field analysis to illustrate the properties of these networks.     

Modulation of microRNA processing and expression through RNA editing by ADAR deaminases

Adenosine deaminases acting on RNA (ADARs) are involved in editing of adenosine residues to inosine in double-stranded RNA (dsRNA). Although this editing recodes and alters functions of several mammalian genes, its most common targets are noncoding repeat sequences, indicating the involvement of this editing system in currently unknown functions other than recoding of protein sequences. Here we show that specific adenosine residues of certain microRNA (miRNA) precursors are edited by ADAR1 and ADAR2. Editing of pri-miR-142, the precursor of miRNA-142, expressed in hematopoietic tissues, resulted in suppression of its processing by Drosha. The edited pri-miR-142 was degraded by Tudor-SN, a component of RISC and also a ribonuclease specific to inosine-containing dsRNAs. Consequently, mature miRNA-142 expression levels increased substantially in ADAR1 null or ADAR2 null mice. Our results demonstrate a new function of RNA editing in the control of miRNA biogenesis.     

Hexokinase 3 enhances myeloid cell survival via non-glycolytic functions

The family of hexokinases (HKs) catalyzes the first step of glycolysis, the ATP-dependent phosphorylation of glucose to glucose-6-phosphate. While HK1 and HK2 are ubiquitously expressed, the less well-studied HK3 is primarily expressed in hematopoietic cells and tissues and is highly upregulated during terminal differentiation of some acute myeloid leukemia (AML) cell line models. Here we show that expression of HK3 is predominantly originating from myeloid cells and that the upregulation of this glycolytic enzyme is not restricted to differentiation of leukemic cells but also occurs during ex vivo myeloid differentiation of healthy CD34⁺ hematopoietic stem and progenitor cells. Within the hematopoietic system, we show that HK3 is predominantly expressed in cells of myeloid origin. CRISPR/Cas9 mediated gene disruption revealed that loss of HK3 has no effect on glycolytic activity in AML cell lines while knocking out HK2 significantly reduced basal glycolysis and glycolytic capacity. Instead, loss of HK3 but not HK2 led to increased sensitivity to ATRA-induced cell death in AML cell lines. We found that HK3 knockout (HK3-null) AML cells showed an accumulation of reactive oxygen species (ROS) as well as DNA damage during ATRA-induced differentiation. RNA sequencing analysis confirmed pathway enrichment for programmed cell death, oxidative stress, and DNA damage response in HK3-null AML cells. These signatures were confirmed in ATAC sequencing, showing that loss of HK3 leads to changes in chromatin configuration and increases the accessibility of genes involved in apoptosis and stress response. Through isoform-specific pulldowns, we furthermore identified a direct interaction between HK3 and the proapoptotic BCL-2 family member BIM, which has previously been shown to shorten myeloid life span. Our findings provide evidence that HK3 is dispensable for glycolytic activity in AML cells while promoting cell survival, possibly through direct interaction with the BH3-only protein BIM during ATRA-induced neutrophil differentiation.Subject terms: Cell biology, Cancer     

The signaling pathway of dopamine D2 receptor (D2R) activation using normal mode analysis (NMA) and the construction of pharmacophore models for D2R ligands

G-protein-coupled receptors (GPCRs) are targets of more than 30% of marketed drugs. Investigation on the GPCRs may shed light on upcoming drug design studies. In the present study, we performed a combination of receptor- and ligand-based analysis targeting the dopamine D2 receptor (D2R). The signaling pathway of D2R activation and the construction of universal pharmacophore models for D2R ligands were also studied. The key amino acids, which contributed to the regular activation of the D2R, were in detail investigated by means of normal mode analysis (NMA). A derived cross-correlation matrix provided us an understanding of the degree of pair residue correlations. Although negative correlations were not observed in the case of the inactive D2R state, a high degree of correlation appeared between the residues in the active state. NMA results showed that the cytoplasmic side of the TM5 plays a significant role in promoting of residue–residue correlations in the active state of D2R. Tracing motions of the amino acids Arg219, Arg220, Val223, Asn224, Lys226, and Ser228 in the position of the TM5 are found to be critical in signal transduction. Complementing the receptor-based modeling, ligand-based modeling was also performed using known D2R ligands. The top-scored pharmacophore models were found as 5-sited (AADPR.671, AADRR.1398, AAPRR.3900, and ADHRR.2864) hypotheses from PHASE modeling from a pool consisting of more than 100 initial candidates. The constructed models using 38 D2R ligands (in the training set) were validated with 15 additional test set compounds. The resulting model correctly predicted the pIC₅₀ values of an additional test set compounds as true unknowns.