The Role of the Unfolded Protein Response Regulator Bip in Hcmv Virion Assembly and Egress

Human cytomegalovirus (HCMV) regulates the unfolded protein response, including specifically inducing the ER chaperone BiP. The increase in BiP protein during infection is the result of promoter activation by the HCMV MIEPs and La autoantigen activation of the internal ribosome entry site of BiP mRNA. To determine the effects of BiP on HCMV replication, BiP was depleted using the SubAB subtilase cytotoxin or short hairpin RNAs. Depletion of BiP had little effect on viral protein synthesis. However, progeny virion formation was significantly inhibited, suggesting that BiP is important for virion formation. Electron microscopic analysis showed that infected cells were resistant to the toxin and showed none of the cytotoxic effects seen in uninfected cells. However, all viral activity in the cytoplasm ceased. During infection, BiP localizes in two cytoplasmic structures, regions of condensed ER near the periphery of the cell and the viral cytoplasmic assembly compartment, where it interacts with the viral proteins pp28 and TRS1. Depletion of BiP causes the assembly compartment to dissociate and the cytoplasm to return to a more normal morphology, indicating that BiP is important for assembly compartment integrity and confirming its role in viral cytoplasmic activity. Furthermore, depletion of BiP and the corresponding disruption of assembly compartment integrity results in the loss of virally-induced nuclear lamina rearrangement and a decrease in lamin phosphorylation. These results are due to an interaction between BiP and pUL50. Thus, BiP depletion affects both nuclear and cytoplasmic viral activity. These data and the following observations support an intricate link between vial nuclear and cytoplasmic activity. The inhibition of the molecular motor dynein results in the loss of both assembly compartment integrity and the nuclear morphology characteristic of an HCMV infection. Furthermore, the nuclear periphery is dramatically altered adjacent to the assembly compartment, where the nuclear lamina is rearranged, the outer nuclear membrane is altered, and the nucleus becomes permeable to large molecules. The perinuclear space is also enlarged, a result of decreasing the SUN proteins during infection. These results support a model for a highly integrated assembly-egress continuum, linking viral nuclear and cytoplasmic activity

Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data

Cardiometabolic diseases are a worldwide health concern. Genetics studies have identified hundreds of genetic loci associated with these diseases and other cardiometabolic risk factors, but gaps remain in the understanding of the biological mechanisms responsible for these associations. Sequence data from quantitative experiments, such as DNase-seq and ChIP-seq, that identify genomic regions regulating gene transcription are helping to fill these gaps. Allelic imbalance at heterozygous sites, or enrichment of one allele, in this data can indicate allelic differences in transcriptional regulation, but reference mapping biases present in sequence alignments prevent accurate allelic imbalance detection. We describe a pipeline, AA-ALIGNER, that removes mapping biases at heterozygous sites and increases allelic imbalance detection accuracy in samples with any amount of genotype data available. When complete genotype information is not available, AA-ALIGNER more accurately detects allelic imbalance at imputed heterozygous sites than heterozygous sites predicted using the sequence data. At predicted heterozygous sites, imbalance detection is more accurate at common variants than other variants. Additionally, imbalance detection with AA-ALIGNER is robust to a variety of experimental and analytical parameters. Using AA-ALIGNER, we detected evidence of allelic imbalance at 22,414 heterozygous sites in data from samples with relevance to cardiometabolic disease and risk factors. We have identified protein binding motifs for one of the imbalanced proteins at a majority of these sites, and evidence that imbalance in data for this protein is associated with imbalance in data for other proteins. Additionally, a subset of sites of allelic imbalance are located at expression quantitative trait loci and/or genome-wide association loci for cardiometabolic traits and diseases. These sites are strong candidates to be studied experimentally and we report experimental evidence of allelic differences in protein binding, enhancer activity and/or the regulation of specific genes for a handful of these sites. Using allelic imbalance detection, we have detected differences in protein binding across the genome providing valuable insight into mechanisms of transcriptional regulation. Focusing on cardiometabolic diseases and risk factors, this work demonstrates the utility of allelic imbalance detection in studying genetic effects on the regulation of gene transcription at complex disease- and trait-associated loci.Doctor of Philosoph

Deletion of the Human Cytomegalovirus US17 Gene Increases the Ratio of Genomes per Infectious Unit and Alters Regulation of Immune and Endoplasmic Reticulum Stress Response Genes at Early and Late Times after Infection

Human cytomegalovirus (HCMV) employs numerous strategies to combat, subvert, or co-opt host immunity. One evolutionary strategy for this involves capture of a host gene and then its successive duplication and divergence, forming a family of genes, many of which have immunomodulatory activities. The HCMV US12 family consists of 10 tandemly arranged sequence-related genes in the unique short (US) region of the HCMV genome (US12 to US21). Each gene encodes a protein possessing seven predicted transmembrane domains, patches of sequence similarity with cellular G-protein-coupled receptors, and the Bax inhibitor 1 family of antiapoptotic proteins. We show that one member, US17, plays an important role during virion maturation. Microarray analysis of cells infected with a recombinant HCMV isolate with a US17 deletion (the ΔUS17 mutant virus) revealed blunted host innate and interferon responses at early times after infection (12 h postinfection [hpi]), a pattern opposite that previously seen in the absence of the immunomodulatory tegument protein pp65 (pUL83). Although the ΔUS17 mutant virus produced numbers of infectious particles in fibroblasts equal to the numbers produced by the parental virus, it produced \u3e3-fold more genome-containing noninfectious viral particles and delivered increased amounts of pp65 to newly infected cells. These results suggest that US17 has evolved to control virion composition, to elicit an appropriately balanced host immune response. At later time points (96 hpi), ΔUS17 mutant-infected cells displayed aberrant expression of several host endoplasmic reticulum stress response genes and chaperones, some of which are important for the final stages of virion assembly and egress. Our results suggest that US17 modulates host pathways to enable production of virions that elicit an appropriately balanced host immune response

HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data

BACKGROUND: The human leukocyte antigen (HLA) system is a genomic region involved in regulating the human immune system by encoding cell membrane major histocompatibility complex (MHC) proteins that are responsible for self-recognition. Understanding the variation in this region provides important insights into autoimmune disorders, disease susceptibility, oncological immunotherapy, regenerative medicine, transplant rejection, and toxicogenomics. Traditional approaches to HLA typing are low throughput, target only a few genes, are labor intensive and costly, or require specialized protocols. RNA sequencing promises a relatively inexpensive, high-throughput solution for HLA calling across all genes, with the bonus of complete transcriptome information and widespread availability of historical data. Existing tools have been limited in their ability to accurately and comprehensively call HLA genes from RNA-seq data. RESULTS: We created HLAProfiler ( https://github.com/ExpressionAnalysis/HLAProfiler ), a k-mer profile-based method for HLA calling in RNA-seq data which can identify rare and common HLA alleles with > 99% accuracy at two-field precision in both biological and simulated data. For 68% of novel alleles not present in the reference database, HLAProfiler can correctly identify the two-field precision or exact coding sequence, a significant advance over existing algorithms. CONCLUSIONS: HLAProfiler allows for accurate HLA calls in RNA-seq data, reliably expanding the utility of these data in HLA-related research and enabling advances across a broad range of disciplines. Additionally, by using the observed data to identify potential novel alleles and update partial alleles, HLAProfiler will facilitate further improvements to the existing database of reference HLA alleles. HLAProfiler is available at https://expressionanalysis.github.io/HLAProfiler/

New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk

To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P\u3c5 × 10−8), of which eight were previously associated with increased overall adiposity (BMI, BF%) and four (in or near COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel associations with BF%. Seven loci showed a larger effect on BF% than on BMI, suggestive of a primary association with adiposity, while five loci showed larger effects on BMI than on BF%, suggesting association with both fat and lean mass. In particular, the loci more strongly associated with BF% showed distinct cross-phenotype association signatures with a range of cardiometabolic traits revealing new insights in the link between adiposity and disease risk

Escherichia coli Subtilase Cytotoxin

Subtilase cytotoxin (SubAB) is the prototype of a new AB5 toxin family produced by a subset of Shiga toxigenic Escherichia coli (STEC) strains. Its A subunit is a subtilase-like serine protease and cytotoxicity for eukaryotic cells is due to a highly specific, single-site cleavage of BiP/GRP78, an essential Hsp70 family chaperone located in the endoplasmic reticulum (ER). This cleavage triggers a severe and unresolved ER stress response, ultimately triggering apoptosis. The B subunit has specificity for glycans terminating in the sialic acid N-glycolylneuraminic acid. Although its actual role in human disease pathogenesis is yet to be established, SubAB is lethal for mice and induces pathological features overlapping those seen in the haemolytic uraemic syndrome, a life-threatening complication of STEC infection. The toxin is also proving to be a useful tool for probing the role of BiP and ER stress in a variety of cellular functions

Allele-Specific Transcriptional Activity at Type 2 Diabetes-Associated Single Nucleotide Polymorphisms in Regions of Pancreatic Islet Open Chromatin at the JAZF1 Locus

Translation of noncoding common variant association signals into meaningful molecular and biological mechanisms explaining disease susceptibility remains challenging. For the type 2 diabetes association signal in JAZF1 intron 1, we hypothesized that the underlying risk variants have cis-regulatory effects in islets or other type 2 diabetes–relevant cell types. We used maps of experimentally predicted open chromatin regions to prioritize variants for functional follow-up studies of transcriptional activity. Twelve regions containing type 2 diabetes–associated variants were tested for enhancer activity in 832/13 and MIN6 insulinoma cells. Three regions exhibited enhancer activity and only rs1635852 displayed allelic differences in enhancer activity; the type 2 diabetes risk allele T showed lower transcriptional activity than the nonrisk allele C. This risk allele showed increased binding to protein complexes, suggesting that it functions as part of a transcriptional repressor complex. We applied DNA affinity capture to identify factors in the complex and determined that the risk allele preferentially binds the pancreatic master regulator PDX1. These data suggest that the rs1635852 region in JAZF1 intron 1 is part of a cis-regulatory complex and that maps of open chromatin are useful to guide identification of variants with allelic differences in regulatory activity at type 2 diabetes loci

Removing reference mapping biases using limited or no genotype data identifies allelic differences in protein binding at disease-associated loci

Abstract Background Genetic variation can alter transcriptional regulatory activity contributing to variation in complex traits and risk of disease, but identifying individual variants that affect regulatory activity has been challenging. Quantitative sequence-based experiments such as ChIP-seq and DNase-seq can detect sites of allelic imbalance where alleles contribute disproportionately to the overall signal suggesting allelic differences in regulatory activity. Methods We created an allelic imbalance detection pipeline, AA-ALIGNER, to remove reference mapping biases influencing allelic imbalance detection and evaluate accuracy of allelic imbalance predictions in the absence of complete genotype data. Using the sequence aligner, GSNAP, and varying amounts of genotype information to remove mapping biases we investigated the accuracy of allelic imbalance detection (binomial test) in CREB1 ChIP-seq reads from the GM12878 cell line. Additionally we thoroughly evaluated the influence of experimental and analytical parameters on imbalance detection. Results Compared to imbalances identified using complete genotypes, using imputed partial sample genotypes, AA-ALIGNER detected >95 % of imbalances with >90 % accuracy. AA-ALIGNER performed nearly as well using common variants when genotypes were unknown. In contrast, predicting additional heterozygous sites and imbalances using the sequence data led to >50 % false positive rates. We evaluated effects of experimental data characteristics and key analytical parameter settings on imbalance detection. Overall, total base coverage and signal dispersion across the genome most affected our ability to detect imbalances, while parameters such as imbalance significance, imputation quality thresholds, and alignment mismatches had little effect. To assess the biological relevance of imbalance predictions, we used electrophoretic mobility shift assays to functionally test for predicted allelic differences in CREB1 binding in the GM12878 lymphoblast cell line. Six of nine tested variants exhibited allelic differences in binding. Two of these variants, rs2382818 and rs713875, are located within inflammatory bowel disease-associated loci. Conclusions AA-ALIGNER accurately detects allelic imbalance in quantitative sequence data using partial genotypes or common variants filling a critical methodological gap in these analyses, as full genotypes are rarely available. Importantly, we demonstrate how experimental and analytical features impact imbalance detection providing guidance for similar future studies

Human Cytomegalovirus Tegument Protein pUL71 Is Required for Efficient Virion Egress

The human cytomegalovirus virion is composed of a DNA genome packaged in an icosahedral capsid, surrounded by a tegument of protein and RNA, all enclosed within a glycoprotein-studded envelope. Achieving this intricate virion architecture requires a coordinated process of assembly and egress. We show here that pUL71, a component of the virion tegument with a previously uncharacterized function, is required for the virus-induced reorganization of host cell membranes, which is necessary for efficient viral assembly and egress. A mutant that did not express pUL71 was able to efficiently accumulate viral genomes and proteins that were tested but was defective for the production and release of infectious virions. The protein localized to vesicular structures at the periphery of the viral assembly compartment, and during infection with a pUL71-deficient virus, these structures were grossly enlarged and aberrantly contained a cellular marker of late endosomes/lysosomes. Mutant virus preparations exhibited less infectivity per unit genome than wild-type virus preparations, due to aggregation of virus particles and their association with membrane fragments. Finally, mutant virus particles accumulated within the cytoplasm of infected cells and were localized to the periphery of large structures with properties of lysosomes, whose formation was kinetically favored in mutant-virus-infected cells. Together, these observations point to a role for pUL71 in the establishment and/or maintenance of a functional viral assembly compartment that is required for normal virion trafficking and egress from infected cells