Regulation of cellular protein quality control networks in a multicellular organism

The long-term health of all metazoan cells is linked to protein quality control, which is achieved by proteostasis, a complex network of molecular interactions that determines the health of the proteome under physiological or stress conditions. Studying the regulation of cellular proteostasis in the context of the whole organism has unraveled multiple layers of cell-nonautonomous regulation, including neuronal regulation, cell-to-cell stress signals and endocrine signaling that affect growth, development and aging. Here, we discuss emerging concepts in cell-nonautonomous regulation of protein quality control networks. The identification of organismal modulators of cellular proteostasis may present novel, yet general targets for misfolding disease intervention.     

Does base-pairing strength play a role in microRNA repression?

MicroRNAs (miRNAs) are short, single-stranded RNAs that silence gene expression by either degrading mRNA or repressing translation. Each miRNA regulates a specific set of mRNA “targets” by binding to complementary sequences in their 3′ untranslated region. In this study, we examined the importance of the base-pairing strength of the miRNA–target duplex to repression. We hypothesized that if base-pairing strength affects the functionality of miRNA repression, organisms with higher body temperature or that live at higher temperatures will have miRNAs with higher G/C content so that the miRNA–target complex will remain stable. In the nine model organisms examined, we found a significant correlation between the average G/C content of miRNAs and physiological temperature, supporting our hypothesis. Next, for each organism examined, we compared the average G/C content of miRNAs that are conserved among distant organisms and that of miRNAs that are evolutionarily recent. We found that the average G/C content of ancient miRNAs is lower than recent miRNAs in homeotherms, whereas the trend was inversed in poikilotherms, suggesting that G/C content is associated with temperature, thus further supporting our hypothesis. In the organisms examined, the average G/C content of miRNA “seed” sequences was higher than that of mature miRNAs, which was higher than pre-miRNA loops, suggesting an association between the degree of functionality of the sequence and its average G/C content. Our analyses show a possible association between the base-pairing strength of miRNA–targets and the temperature of an organism, suggesting that base-pairing strength plays a role in repression by miRNAs.     

Joint analysis of multiple metagenomic samples

The availability of metagenomic sequencing data, generated by sequencing DNA pooled from multiple microbes living jointly, has increased sharply in the last few years with developments in sequencing technology. Characterizing the contents of metagenomic samples is a challenging task, which has been extensively attempted by both supervised and unsupervised techniques, each with its own limitations. Common to practically all the methods is the processing of single samples only; when multiple samples are sequenced, each is analyzed separately and the results are combined. In this paper we propose to perform a combined analysis of a set of samples in order to obtain a better characterization of each of the samples, and provide two applications of this principle. First, we use an unsupervised probabilistic mixture model to infer hidden components shared across metagenomic samples. We incorporate the model in a novel framework for studying association of microbial sequence elements with phenotypes, analogous to the genome-wide association studies performed on human genomes: We demonstrate that stratification may result in false discoveries of such associations, and that the components inferred by the model can be used to correct for this stratification. Second, we propose a novel read clustering (also termed "binning") algorithm which operates on multiple samples simultaneously, leveraging on the assumption that the different samples contain the same microbial species, possibly in different proportions. We show that integrating information across multiple samples yields more precise binning on each of the samples. Moreover, for both applications we demonstrate that given a fixed depth of coverage, the average per-sample performance generally increases with the number of sequenced samples as long as the per-sample coverage is high enough.     

Improved sensitivity to cerebral white matter abnormalities in Alzheimer's disease with spherical deconvolution based tractography

Diffusion tensor imaging (DTI) based fiber tractography (FT) is the most popular approach for investigating white matter tracts in vivo, despite its inability to reconstruct fiber pathways in regions with "crossing fibers." Recently, constrained spherical deconvolution (CSD) has been developed to mitigate the adverse effects of "crossing fibers" on DTI based FT. Notwithstanding the methodological benefit, the clinical relevance of CSD based FT for the assessment of white matter abnormalities remains unclear. In this work, we evaluated the applicability of a hybrid framework, in which CSD based FT is combined with conventional DTI metrics to assess white matter abnormalities in 25 patients with early Alzheimer's disease. Both CSD and DTI based FT were used to reconstruct two white matter tracts: one with regions of "crossing fibers," i.e., the superior longitudinal fasciculus (SLF) and one which contains only one fiber orientation, i.e. the midsagittal section of the corpus callosum (CC). The DTI metrics, fractional anisotropy (FA) and mean diffusivity (MD), obtained from these tracts were related to memory function. Our results show that in the tract with "crossing fibers" the relation between FA/MD and memory was stronger with CSD than with DTI based FT. By contrast, in the fiber bundle where one fiber population predominates, the relation between FA/MD and memory was comparable between both tractography methods. Importantly, these associations were most pronounced after adjustment for the planar diffusion coefficient, a measure reflecting the degree of fiber organization complexity. These findings indicate that compared to conventionally applied DTI based FT, CSD based FT combined with DTI metrics can increase the sensitivity to detect functionally significant white matter abnormalities in tracts with complex white matter architecture.     

Type 1 diabetes affects topoisomerase I activity and GlcNAcylation in rat organs: kidney, liver and pancreas

Chronic hyperglycemia leads to the development of diabetes-induced organ complications, through changes in gene expression and protein function. We previously showed that in cell lines, topoisomerase I (topo I) is modified by O-GlcNAcylation, which affects its DNA relaxation activity. Since topo I participates in gene expression processes, we assumed that high glucose levels will affect its regulation and activity. Here we examined the effect of hyperglycemia on the regulation, GlcNAcylation and activity of topo I, in various internal rat organs that were subjected to diabetes-induced complications. Type 1 diabetes was induced in female rats by Streptozotocin injection. Topo I activity in nuclear protein extracts derived from diabetic and nondiabetic rat organs and topo I mRNA level were examined. Topo I and O-linked beta-N-acetylglucosamine (O-GlcNAc) transferase proteins and their O-GlcNAcylation were determined by western blot and immunoprecipitation assays. We show that topo I activity and enzyme protein level decreased in various tissues derived from the diabetic animals, whereas the enzyme mRNA level was not altered. Topo I protein was modified in vivo by O-GlcNAc, and O-GlcNAc transferase was coprecipitated with topo I protein, suggesting a possible interaction between both enzymes. This study demonstrates, for the first time, that topo I activity is regulated by high glucose levels, as a result of the diabetic state and is modified in vivo by O-GlcNAcylation, suggesting that topo I, an essential enzyme for gene expression, is involved in cellular processes which may lead to the pathogenesis of diabetic complications.     

Synthetic biology approach to reconstituting the ubiquitylation cascade in bacteria

Covalent modification of proteins with ubiquitin (Ub) is widely implicated in the control of protein function and fate. Over 100 deubiquitylating enzymes rapidly reverse this modification, posing challenges to the biochemical and biophysical characterization of ubiquitylated proteins. We circumvented this limitation with a synthetic biology approach of reconstructing the entire eukaryotic Ub cascade in bacteria. Co‐expression of affinity‐tagged substrates and Ub with E1, E2 and E3 enzymes allows efficient purification of ubiquitylated proteins in milligram quantity. Contrary to in‐vitro assays that lead to spurious modification of several lysine residues of Rpn10 (regulatory proteasomal non‐ATPase subunit), the reconstituted system faithfully recapitulates its monoubiquitylation on lysine 84 that is observed in vivo. Mass spectrometry revealed the ubiquitylation sites on the Mind bomb E3 ligase and the Ub receptors Rpn10 and Vps9. Förster resonance energy transfer (FRET) analyses of ubiquitylated Vps9 purified from bacteria revealed that although ubiquitylation occurs on the Vps9‐GEF domain, it does not affect the guanine nucleotide exchanging factor (GEF) activity in vitro. Finally, we demonstrated that ubiquitylated Vps9 assumes a closed structure, which blocks additional Ub binding. Characterization of several ubiquitylated proteins demonstrated the integrity, specificity and fidelity of the system, and revealed new biological findings.