The alphaviruses: gene expression, replication, and evolution

The alphaviruses are a genus of 26 enveloped viruses that cause disease in humans and domestic animals. Mosquitoes or other hematophagous arthropods serve as vectors for these viruses. The complete sequences of the +/- 11.7-kb plus-strand RNA genomes of eight alphaviruses have been determined, and partial sequences are known for several others; this has made possible evolutionary comparisons between different alphaviruses as well as comparisons of this group of viruses with other animal and plant viruses. Full-length cDNA clones from which infectious RNA can be recovered have been constructed for four alphaviruses; these clones have facilitated many molecular genetic studies as well as the development of these viruses as expression vectors. From these and studies involving biochemical approaches, many details of the replication cycle of the alphaviruses are known. The interactions of the viruses with host cells and host organisms have been exclusively studied, and the molecular basis of virulence and recovery from viral infection have been addressed in a large number of recent papers. The structure of the viruses has been determined to about 2.5 nm, making them the best-characterized enveloped virus to date. Because of the wealth of data that has appeared, these viruses represent a well-characterized system that tell us much about the evolution of RNA viruses, their replication, and their interactions with their hosts. This review summarizes our current knowledge of this group of viruses

Proactive Detection of Computer Worms Using Model Checking

Although recent estimates are speaking of 200,000 different viruses, worms, and Trojan horses, the majority of them are variants of previously existing malware. As these variants mostly differ in their binary representation rather than their functionality, they can be recognized by analyzing the program behavior, even though they are not covered by the signature databases of current antivirus tools. Proactive malware detectors mitigate this risk by detection procedures that use a single signature to detect whole classes of functionally related malware without signature updates. It is evident that the quality of proactive detection procedures depends on their ability to analyze the semantics of the binary. In this paper, we propose the use of model checkinga well-established software verification techniquefor proactive malware detection. We describe a tool that extracts an annotated control flow graph from the binary and automatically verifies it against a formal malware specification. To this end, we introduce the new specification language CTPL, which balances the high expressive power needed for malware signatures with efficient model checking algorithms. Our experiments demonstrate that our technique indeed is able to recognize variants of existing malware with a low risk of false positives. © 2006 IEEE

Computational approaches for improving treatment and prevention of viral infections

The treatment of infections with HIV or HCV is challenging. Thus, novel drugs and new computational approaches that support the selection of therapies are required. This work presents methods that support therapy selection as well as methods that advance novel antiviral treatments. geno2pheno[ngs-freq] identifies drug resistance from HIV-1 or HCV samples that were subjected to next-generation sequencing by interpreting their sequences either via support vector machines or a rules-based approach. geno2pheno[coreceptor-hiv2] determines the coreceptor that is used for viral cell entry by analyzing a segment of the HIV-2 surface protein with a support vector machine. openPrimeR is capable of finding optimal combinations of primers for multiplex polymerase chain reaction by solving a set cover problem and accessing a new logistic regression model for determining amplification events arising from polymerase chain reaction. geno2pheno[ngs-freq] and geno2pheno[coreceptor-hiv2] enable the personalization of antiviral treatments and support clinical decision making. The application of openPrimeR on human immunoglobulin sequences has resulted in novel primer sets that improve the isolation of broadly neutralizing antibodies against HIV-1. The methods that were developed in this work thus constitute important contributions towards improving the prevention and treatment of viral infectious diseases.Die Behandlung von HIV- oder HCV-Infektionen ist herausfordernd. Daher werden neue Wirkstoffe, sowie neue computerbasierte Verfahren benötigt, welche die Therapie verbessern. In dieser Arbeit wurden Methoden zur Unterstützung der Therapieauswahl entwickelt, aber auch solche, welche neuartige Therapien vorantreiben. geno2pheno[ngs-freq] bestimmt, ob Resistenzen gegen Medikamente vorliegen, indem es Hochdurchsatzsequenzierungsdaten von HIV-1 oder HCV Proben mittels Support Vector Machines oder einem regelbasierten Ansatz interpretiert. geno2pheno[coreceptor-hiv2] bestimmt den HIV-2 Korezeptorgebrauch dadurch, dass es einen Abschnitt des viralen Oberflächenproteins mit einer Support Vector Machine analysiert. openPrimeR kann optimale Kombinationen von Primern für die Multiplex-Polymerasekettenreaktion finden, indem es ein Mengenüberdeckungsproblem löst und auf ein neues logistisches Regressionsmodell für die Vorhersage von Amplifizierungsereignissen zurückgreift. geno2pheno[ngs-freq] und geno2pheno[coreceptor-hiv2] ermöglichen die Personalisierung antiviraler Therapien und unterstützen die klinische Entscheidungsfindung. Durch den Einsatz von openPrimeR auf humanen Immunoglobulinsequenzen konnten Primersätze generiert werden, welche die Isolierung von breit neutralisierenden Antikörpern gegen HIV-1 verbessern. Die in dieser Arbeit entwickelten Methoden leisten somit einen wichtigen Beitrag zur Verbesserung der Prävention und Therapie viraler Infektionskrankheiten

An integrated malware detection and classification system

This thesis is to develop effective and efficient methodologies which can be applied to continuously improve the performance of detection and classification on malware collected over an extended period of time. The robustness of the proposed methodologies has been tested on malware collected over 2003-2010.<br /

Genetic variation and evolution of equine infectious anemia virus rev quasispecies during long term persistent infection

Genetic variation has been observed in many viruses. Viruses that carry their genetic information in the form of RNA exhibit high mutation rates because the viral polymerase lacks proof-reading mechanisms commonly found in DNA polymerase complexes. The combination of high mutation rates, small genome size, and high replication rates results in a population of closely related viral genotypes, which are commonly referred to as a quasispecies. A consequence of the genetic variation in viruses is possible variation in viral phenotype of the quasispecies population. Furthermore, changes in viral phenotype may be a biologically important factor in progression of disease. Here, we undertook a longitudinal study to describe the quasispecies nature and genetic variation in a lentivirus regulatory protein, Rev, during the course of disease in a pony experimentally infected with equine infectious anemia virus (EIAV). This study examined rev variants that comprised the quasispecies population in sequential sera samples. Over the course of disease, there was continual appearance of novel rev variants, with some variants growing in frequency to predominate certain time points. Phylogenetic and cluster analyses suggested that the Rev quasispecies was comprised of two distinct populations that co-existed during infection. These two quasispecies populations differed in their pattern of evolution, with one population accumulating changes in a linear, time-dependent manner, while the other population evolved radially from a common variant. Changes in the population size of the two Rev quasispecies coincided with changes in the clinical stages of disease. Rev variants from each population were biologically tested, and significant differences in Rev activity were detected between the two populations. Together, these results suggested that the distinct Rev populations differed in selective advantage. A statistical correlation was found between Rev quasispecies activity and temperature of the pony over the course of infection. Furthermore, the Rev quasispecies activity differed significantly between different stages of clinical disease. This study suggests that distinct quasispecies populations, which differed in pattern of evolution and niche advantage, co-existed during long term persistent infection by EIAV. A multi-population quasispecies model challenges our current thinking of viral populations and may have significant biological implications

Attrition of CD8 T Cells during the Early Stages of Viral Infections: a Dissertation

Profound lymphopenia has been observed during many acute viral infections, and our laboratory has previously documented a type 1 IFN-dependent loss of most memory (CD44hi) and some naïve (CD44lo) CD8 T cells immediately preceding the development of the antiviral T cell response at days 2-4 following lymphocytic choriomeningitis virus (LCMV) infection. In this thesis, I will examine additional mechanisms involved in the early attrition of CD8 T cells and evaluate whether antigen-specific and non-specific CD8 T cells are equally susceptible. Lastly, I will examine whether the early attrition of CD8 T cells contributes to the generation of an effective immune response. Poly(I:C), a potent inducer of type 1 IFN, was previously shown to cause the attrition and apoptosis of CD8α+CD44hi cells in normal mice, but not in type 1 IFN receptor–deficient mice (IFN1-R KO). I questioned whether additional molecule(s) might contribute to the type 1 IFN-induced apoptosis of CD8α+CD44hi cells. I used a PCR array to determine the expression of 84 apoptosis-related genes at 6 hours post-poly(I:C) treatment, relative to an untreated control. There was an 11-fold increase in CD40 RNA expression in CD8α+CD44hi cells isolated from poly(I:C)-treated mice. CD40 protein expression was also increased on CD8α+CD44hi cells, peaking between 9 and 12 hours following poly(I:C) treatment, before declining thereafter. This increase in CD40 protein expression directly correlated with an increase in Annexin V reactivity, an indicator of early apoptosis. Nevertheless, CD40 was not required for the loss of CD8α+CD44hi cells, as both wildtype and CD40-deficient mice were equally susceptible to the poly(I:C)-induced attrition. Upon further characterization, I found this population of CD40+CD8α+CD44hi cells to be CD11c+B220-Thy1.2- MHCIIhi, which is consistent with a “lymphoid” CD8α+ DC phenotype. Kinetic analysis revealed a type 1 IFN-dependent increase in this CD8α+ DC population at 12 hours post-poly(I:C) treatment. This increase was only observed in the spleen, as no increase in percentage was observed in the peritoneal cavity (PEC), lungs, inguinal lymph nodes (iLN), or peripheral blood. Collectively, these results suggest that the type 1 IFN-dependent increase in splenic CD8α+DCs accounts for the observed increase in Annexin V reactive cells following poly(I:C) treatment. These findings required a re-evaluation of the type 1 IFN-induced attrition of CD8+CD44hi T cells with an anti-CD8β antibody, which is a more exclusive marker for T cells than the anti-CD8α antibody. Kinetic analysis revealed a significant decrease in splenic CD8β+CD44hi T cells at 12 hours post-poly(I:C) treatment. This reduction in splenic CD8β+CD44hi T cells was not due to trafficking to other organs, as the PECs, lungs, iLN, lungs, and peripheral blood all exhibited significant, although varying, decreases in the percentage of CD8β+CD44hi T cells at 12 hour following poly(I:C) treatment. These data support the notion that the type 1 IFN-induced attrition of CD8β+CD44hiT cells was a “global” phenomenon and could not be completely due to migration out of the spleen. The attrition of CD8β+CD44hi T cells was also dependent upon type 1 IFN at 3 days post-LCMV infection, as there was no significant reduction of this population in IFN1-R KO mice. The loss of wildtype CD8β+CD44hi T cells correlated with an increased activation of caspases 3 and 8, which are enzymes that play essential roles in apoptosis and inflammation. A significant loss of CD4+CD44hi T cells, which also correlated with an increased activation of caspases 3 and 8, was observed at 3 days post-LCMV infection. Collectively, these results suggest that attrition of both CD4+CD44hi and CD8β+CD44hiT cell populations is type 1 IFN-dependent and associated with the activation of caspases following LCMV infection. At 3 days post-LCMV infection, both wildtype CD8β+CD44hi and CD4+CD44hi T cell populations had a higher frequency of cells with fragmented DNA, a hallmark characteristic of the late stages of apoptosis, as revealed by terminal transferase dUTP nick end labeling (TUNEL), relative to uninfected controls. This suggests that the loss of both populations was due to apoptosis. Therefore, I questioned whether the LCMV-induced apoptosis of both CD4+CD44hi and CD8β+CD44hi T cell populations occurred through a mitochondrial-induced pathway involving the pro-apoptotic molecule Bim. The attrition of both CD4+CD44hi and CD8β+CD44hi T cells was significantly higher in wildtype mice compared to Bim KO mice at 3 days post-LCMV infection. Moreover, both wildtype CD8β+CD44hi and CD4+CD44hi T cell populations had higher frequency of TUNEL+ cells, relative to Bim KO populations. These results suggest that the apoptosis of CD8β+CD44hi and CD4+CD44hiT cells, following LCMV infection, might occur through a mitochondrial-induced pathway involving Bim. Studies have shown “lymphoid” CD8α+ DCs to be involved in the phagocytosis of apoptotic lymphocytes. Therefore, I evaluated whether host CD8α+ DCs are capable of phagocytosing apoptotic lymphocytes by adoptively transferring CFSE-labeled wildtype donor splenocytes (Ly5.1) into congenic wildtype hosts (Ly5.2), followed by inoculation with poly(I:C). There was an increased frequency of donor cells (Ly5.1, CFSE+) within the host CD8α+CD11c+ gate at 9 and 12 hours post-poly(I:C) treatment. The results suggest that type 1 IFN-activated CD8α+DCs might aid in the rapid clearance of apoptotic cells during the type 1 IFN-induced attrition associated with viral infections. I next questioned whether TCR engagement by antigen would render CD8 T cells resistant to attrition. I tested whether a high concentration of antigen (GP33 peptide) would protect LCMV-specific naïve TCR transgenic P14 cells specific for the GP33 epitope of LCMV and GP33-specific LCMV-immune cells from depletion. Both naïve P14 and memory GP33-specific donor CD8 T cells decreased substantially 16 hours after inoculation poly(I:C), regardless of whether a high concentration of GP33 peptide was administered to host mice beforehand. The increased activation status of naïve antigen-specific cells via peptide inoculation did not confer resistance to type 1 IFN-induced depletion. Donor naïve P14 and LCMV-specific memory cells were also depleted from day 2 LCMV-infected (Clone 13) hosts by 16 hours post-transfer. These results indicate that antigen engagement does not protect CD8 T cells from the type 1 IFN-induced attrition associated with viral infections. Computer models indicated that early depletion of memory T cells may allow for the generation for a more diverse T cell response to infection by reducing the immunodomination caused by cross-reactive T cells. To test this in a biological system, I questioned whether the reduced apoptosis of the crossreactive memory CD8 population (NP205), in aged LCMV-immune mice (18-22 months), following heterologous virus challenge (PV), would allow it to dominate the immune response. At day 8 post-PV infection, the cross-reactive memory CD8 T cell response (NP205) was more immunodominating in aged LCMV-immune mice relative to younger LCMV-immune mice. This was indicated by the increased ratio of the cross-reactive NP205 response to the newly arising noncross-reactive, PV-specific NP38 response in older LCMV-mice relative to younger LCMV immune-mice, at day 8 post-PV infection. These data suggest that the early attrition of T cells allows for the generation of a more diverse T cell response to infection by reducing the immunodomination caused by crossreactive T cells. Collectively, these findings offer further insight into the early attrition of T cells associated with viral infections

Genomic analysis and examination of innate antiviral immunity in the Egyptian rousett bat

Bats asymptomatically host a number of viruses that are the cause of recently emergent infectious diseases in humans. While the mechanisms underlying this asymptomatic infection are currently not known, studies of sequenced bat genomes help uncover genetic adaptations in bats that may have functional importance in the antiviral response of these animals. To identify differences between antiviral mechanisms in humans and bats, we sequenced, assembled, and analyzed the genome of the Egyptian rousette bat (ERB; Rousettus aegyptiacus), a natural reservoir of Marburg virus and the only known reservoir for any filovirus. We used this genome to understand the evolution of immune genes and gene families in bats, and describe several observations relevant to defense against viruses. We observed an unusual expansion of the NKG2/CD94 natural killer (NK) cell receptor gene families in Egyptian rousette bats relative to other species, and found genomic evidence of unique features and expression of these receptors that may result in a net inhibitory balance within bat NK cells. The expansion of NK cell receptors is matched by an expansion of potential major histocompatibility complex (MHC) class I ligands, which are distributed both within and, surprisingly, outside the canonical MHC loci. We also observed that the type I interferon (IFN) locus is considerably expanded and diversified in the ERB, and that the IFN-ω subfamily contributes most to this expansion. To understand the functional implications of this expansion, we synthesized multiple IFN-ω proteins and examined their antiviral effects. Members of this subfamily are not constitutively expressed but are induced after viral infection, and show antiviral activity in vitro, with different antiviral potencies observed for different IFN-ω proteins. Taken together, these results show that multiple bats, including the ERB, have expanded and diversified numerous antiviral loci, and potentially developed unique adaptations in NK cell receptor signaling, and type I IFN responses. The concerted evolution of so many key components of immunity in the ERB is strongly suggestive of novel modes of antiviral defense that may contribute to the ability of bats to asymptomatically host viruses that are pathogenic in humans

A Hierarchical Temporal Memory Sequence Classifier for Streaming Data

Real-world data streams often contain concept drift and noise. Additionally, it is often the case that due to their very nature, these real-world data streams also include temporal dependencies between data. Classifying data streams with one or more of these characteristics is exceptionally challenging. Classification of data within data streams is currently the primary focus of research efforts in many fields (i.e., intrusion detection, data mining, machine learning). Hierarchical Temporal Memory (HTM) is a type of sequence memory that exhibits some of the predictive and anomaly detection properties of the neocortex. HTM algorithms conduct training through exposure to a stream of sensory data and are thus suited for continuous online learning. This research developed an HTM sequence classifier aimed at classifying streaming data, which contained concept drift, noise, and temporal dependencies. The HTM sequence classifier was fed both artificial and real-world data streams and evaluated using the prequential evaluation method. Cost measures for accuracy, CPU-time, and RAM usage were calculated for each data stream and compared against a variety of modern classifiers (e.g., Accuracy Weighted Ensemble, Adaptive Random Forest, Dynamic Weighted Majority, Leverage Bagging, Online Boosting ensemble, and Very Fast Decision Tree). The HTM sequence classifier performed well when the data streams contained concept drift, noise, and temporal dependencies, but was not the most suitable classifier of those compared against when provided data streams did not include temporal dependencies. Finally, this research explored the suitability of the HTM sequence classifier for detecting stalling code within evasive malware. The results were promising as they showed the HTM sequence classifier capable of predicting coding sequences of an executable file by learning the sequence patterns of the x86 EFLAGs register. The HTM classifier plotted these predictions in a cardiogram-like graph for quick analysis by reverse engineers of malware. This research highlights the potential of HTM technology for application in online classification problems and the detection of evasive malware