Abstract
Infection with herpes simplex virus 1 (HSV-1) occurs in over half the global population, causing recurrent orofacial and/or genital lesions. Individual strains of HSV-1 demonstrate differences in neurovirulence in vivo, suggesting that viral genetic differences may impact phenotype. Here differentiated SH-SY5Y human neuronal cells were infected with one of three HSV-1 strains known to differ in neurovirulence in vivo. Host and viral RNA were sequenced simultaneously, revealing strain-specific differences in both viral and host transcription in infected neurons. Neuronal morphology and immunofluorescence data highlight the pathological changes in neuronal cytoarchitecture induced by HSV-1 infection, which may reflect host transcriptional changes in pathways associated with adherens junctions, integrin signaling, and others. Comparison of viral protein levels in neurons and epithelial cells demonstrated that a number of differences were neuron-specific, suggesting that strain-to-strain variations in host and virus transcription are cell type-dependent. Together, these data demonstrate the importance of studying virus strain- and cell-type-specific factors that may contribute to neurovirulence in vivo, and highlight the specificity of HSV-1–host interactions.
Author summary
Infection with herpes simplex virus 1 (HSV-1) affects a significant portion of the global population, and recent research has implicated persistent HSV-1 infection with the development of disease later in life, including neurodegenerative disease and cardiovascular disease. It is clear that individual strains of HSV-1 that exist within the circulating population exhibit specific genetic differences that affect their phenotypes in experimental settings. These differences in turn may contribute to the wide range of clinical outcomes observed between infected individuals. In this study, we sought to understand virus strain- and host-specific transcriptional changes during HSV-1 infection using an in vitro model of human neurons, a key cell type involved in HSV-1 persistence in humans. We show that different strains of HSV-1 demonstrate differences in viral gene expression and protein levels in infected human neuronal cells. These differences are not as pronounced in epithelial cells, suggesting that dissimilarities in viral gene expression and protein levels between strains may be cell-type specific. Infected neurons also exhibit unique transcriptional changes in response to specific HSV-1 strains, in pathways such as integrin signaling and remodeling of adherens junctions. Together, these data highlight the specificity of HSV-1 strain- and host-interactions, and the need to study the virus strain- and cell type-specific factors that contribute to HSV-1 pathogenesis.
Introduction
Herpes simplex virus type 1 (HSV-1) is a human pathogen that affects over half the global population and causes recurrent epithelial lesions throughout an individual’s lifetime [1]. The HSV-1 lifecycle begins upon contact with mucosal surfaces, and it is in this niche where it actively replicates and can induce local lesion formation. The virus then enters local sensory nerve endings and traffics in a retrograde direction back to neuronal cell bodies in the peripheral nervous system (PNS). It is in this location where the virus enters into a latent, nonreplicative stage until later reactivation [2]. The ability of HSV-1 to infect and establish latency in neurons allows for lifelong infection, and can provide the virus with access to other sites such as the central nervous system (CNS). Recent research has implicated HSV-1 infection with the development of disease later in life, including Alzheimer’s disease [3–9]. It has been hypothesized that reactivating HSV-1 may travel from the site of latency in the trigeminal ganglia to areas of the brain known to be impacted by Alzheimer’s disease, resulting in subclinical inflammation and the formation of neuronal lesions [3, 10]. Similarly, reactivation of HSV-1 in autonomic nerves that innervate coronary arteries may introduce lytic virus to vascular endothelial cells, causing local injury and thrombosis [11] as well as potentially contributing to other cardiovascular disorders [11–15]. Despite these hypothesized connections between HSV-1 infection and disease later in life, the molecular mechanisms underlying neuronal responses to HSV-1 and the variability of these neuropathological effects due to differences between HSV-1 strains remains limited [9]. The study of both host and virus responses to infection in neurons is therefore critical to address these prevalent health concerns, and to elucidate host- and virus-specific factors that contribute to neurovirulence in vivo.
Previous work has sought to understand the effects of HSV-1 infection on neuronal transcription using a number of in vitro and in vivo neuronal models combined with microarray analysis of transcript expression, as reviewed in [16]. The neuronal models employed for these studies include primary rodent cells [17–22], immortalized murine neuroblastoma cell lines [23], and human teratocarcinoma cells [24]. These studies have provided a strong foundation of knowledge about common neuronal responses to HSV-1 infection across an array of cellular models and virus strains [16]. By applying RNA-sequencing methods to HSV-1 studies and using a human in vitro neuronal model, we can identify species-specific changes in host gene expression and simultaneously characterize viral gene expression, in a synchronized time course of infection. Several recent studies have used non-neuronal cell models (e.g., fibroblasts and other epithelial-like cells) with RNA-sequencing to study changes in host and virus transcription during HSV-1 infection [25–34]. These latter studies have significantly advanced our understanding of the effects of HSV-1 infection on host transcriptional processes during productive and quiescent infection of epithelial and fibroblast cells. However, in addition to their ongoing cell cycle, these cellular models for HSV infection lack the elaborate cellular architecture of mature neurons, and the expression of neuron-specific components such as synaptic proteins.
The ability of HSV-1 to travel from its site of latency in the peripheral ganglia to the CNS is hypothesized to be a crucial step in the development of disease later in life. Specific strains of HSV-1 exhibit differing abilities to reach the CNS from inoculation at peripheral sites in animal models (termed “neuroinvasion”) [35], and this phenotype is thought to contribute to their observed differences in overall neurovirulence, or ability to cause disease in the nervous system [36–38]. Evidence of disparities in neuroinvasion comes from a number of studies that combine the use of in vivo and in vitro models to assess the ability of different strains of HSV-1 to enter the nervous system and replicate in neurons [35, 39, 40]. Multiple aspects of the virus, host, and environment contribute to neurovirulence in vivo. These factors include the ability of the virus to replicate at epithelial sites of entry, to undergo axonal transport and replication in host neurons, and to evade the host immune system [35, 39, 40].
Three well-characterized strains of HSV-1 include F, KOS, and McKrae. Strains F and KOS were originally isolated from facial lesions whereas strain McKrae was isolated from a patient with herpes simplex keratitis [41–43]. Footpad inoculation of either strain F or KOS yielded lower mortality in comparison to clinical strains of HSV-1, suggesting that these clinical isolates were more neuroinvasive than either F or KOS [35]. Following ocular inoculation of either KOS or McKrae, McKrae demonstrated higher titers in the nervous system than KOS in two mouse strains [40]. This is true despite the fact that KOS replicated equally well if not better than McKrae over time in the murine corneal epithelium [40]. Strain KOS has a known point mutation in the Us9 gene, whose protein product plays key roles in neuronal infection [44–50]. Together these in vivo studies highlight strain-specific differences in the ability of HSV-1 to move within the nervous system as well as to cause pathology in neurons. Differences in the ability of any virus strain to reach the CNS may be due to host- or virus-specific factors, or a combination of the two. Strains F, KOS, and McKrae are all able to establish latency and spontaneously reactivate following high dose ocular inoculation in rabbits [51]. However, only McKrae can spontaneously reactivate via endogenous mechanisms in the rabbit, as well as via exogenous mechanisms such as adrenergic induction. This suggests that there may also be strain-specific differences in viral genes that play a role in reactivation [51]. Additionally, differences in amino acid sequences within HSV-1 glycoproteins involved in cell binding and entry have been proposed to contribute to the enhanced neuroinvasiveness observed in McKrae [52].
Comparative genomic and transcriptomic approaches have been used to identify factors associated with disease pathogenesis in several viruses, and have helped elucidate virus strain-dependent differences in host responses that may impact disease outcome [53–56]. To date, few studies have simultaneously analyzed both the host and virus transcriptomes in an effort to identify potential virus strain-dependent differences in gene transcription that may differentially impact host cell processes. In the study presented here, we infected mature neuronal cells derived by differentiation of human SH-SY5Y neuroblastoma cells [57] with one of three well-known laboratory strains of HSV-1 (F, KOS, and McKrae) [35, 40, 51] (S1 Fig). We then assessed neuronal and viral transcriptional responses to this productive infection at 12 and 24 hours post infection (hpi). Using RNA-sequencing and bioinformatics analyses, we compared the host and virus transcriptomes between the three viral strains and over time. We found that the virus strain used for infection had a significant impact on both viral- and host-gene expression. Additionally, we observed strain-dependent differences in viral protein levels in neurons that were less pronounced in non-neuronal cells (e.g. primate epithelial cells and human fibroblasts), suggesting that at least a portion of inter-strain differences in viral protein levels may be neuron-specific. Analysis of host-pathways differentially impacted by HSV-1 strain revealed strain-specific differences in adherens junction structure, integrin signaling, and others. The range of neuronal host responses to HSV-1 infection seen here highlight the need to examine virus-neuron interactions on a per-strain basis, rather than using epithelial cells as a universal model, or using a single virus strain to encompass all responses to a given viral species.
Results
Transcriptome analysis of HSV-1-infected human neuronal cells allows for the simultaneous assessment of both the virus and host
The present study sought to identify both host- and virus-specific factors that may contribute to previously observed strain-specific differences in HSV-1 neurovirulence in vivo [35, 40, 51]. To achieve this, we used a human neuronal cell model combined with RNA-sequencing to characterize strain-dependent differences in host cell responses as well as differences in viral gene transcription between HSV-1 strains and over time (S1 Fig). Immunofluorescence assays were performed to determine the number of purified virions of HSV-1 required to achieve synchronous infection in this neuronal model. Neuronal cultures were infected with a range of infectious doses and probed for HSV-1 protein at 14 hpi (S2 Fig). At lower concentrations, absence of anti-HSV-1 immunoreactivity was evident, particularly in strains F and KOS. However, at the highest infectious dose, all neuronal cell bodies for each strain had detectable viral protein consistent with productive replication (S2 Fig). This finding is in accordance with prior studies demonstrating that high multiplicities of infection are necessary to uniformly infect neurons with alphaherpesviruses [58–61]. For samples used in the RNA-sequencing analysis, differentiated SH-SY5Y human neuronal cells were infected with purified virions of HSV-1 strain KOS, F, or McKrae at 1.6e7 PFU/dish to ensure synchronous infection. Infected neuronal cells were harvested and total RNA extracted at 12 and 24 hpi. These time points have been shown previously to represent the midpoint and peak times of virus production by these neuronal cells [62]. After RNA-sequencing, differential gene expression of both the host and virus transcriptomes were compared relative to mock-infected neurons, between virus strains, and across time. Mock infections consistently showed little to no reads mapping to the HSV-1 transcriptome (average 94% host), and virus infections showed similar counts of reads mapping to each strain and at each time point (average 46% host, 43% HSV-1) (see S1 Table for sequence read statistics, and S2 Table for logCPM values of host transcripts).
Neuronal responses to productive HSV-1 infection
To determine whether there are any overt dissimilarities in host neuronal responses to productive infection with different strains of HSV-1, a principal components analysis (PCA) was performed to visualize patterns in gene expression between groups. With this approach, we can reduce the multitude of variability coming from each gene transcript count into two axes representing the most impactful composite effects that distinguish each test group. In doing so we detected the largest effect of group separation, or highest proportion of variance, between Principal Component 1 (PC1, 24.3%) and Principal Component 2 (PC2, 7.4%). Differences in host transcription in response to infection were dependent on virus strain in addition to the duration of infection (Fig 1A). The transcriptional profiles of neurons infected with KOS at 12 and 24 hpi clustered closely to each other (Fig 1A), and were separated from the profiles of neurons infected with F or McKrae at either timepoint. In contrast, host transcriptional changes due to infection with F and McKrae clustered together at both 12 and 24 hpi (Fig 1A). Each of these clusters was manually highlighted in Fig 1A to depict the observed differences.
In order to identify host pathways that were impacted by each strain, a core pathway analysis was performed on all host transcripts identified as differentially expressed in virus-infected versus mock-infected neurons at 12 hpi for HSV-1 F, KOS, and McKrae respectively (see S2 Table for list of all differentially expressed host transcripts). All host pathways impacted by F, KOS, and McKrae infection are listed in S3 Table along with the specific genes that were differentially expressed in each pathway. Pathways that were identified as activated (positive z-score) or deactivated (negative z-score) following infection (p < 0.05 in at least one comparison) are shown in Fig 1B and listed in S3 Table, along with respective -log(p-values) and z-scores. Many host pathways and genes identified as differentially expressed in the current analysis corroborate previous findings [16]. Host processes that were most highly regulated (increased or decreased) by infection regardless of strain included the role of breast cancer type 1 susceptibility protein (BRCA1) in DNA damage response, vitamin D receptor/retinoid X receptor (VDR/RXR) activation, and retinoic acid mediated apoptosis signaling (Fig 1B). Other pathways that demonstrated differential regulation by infection included integrin-linked kinase (ILK), integrin-, ephrin B-, and ephrin receptor-signaling as well as remodeling of epithelial adherens junctions. Specifically, KOS-infected neurons demonstrated higher activation of the latter pathways in comparison to neuronal cells infected with either HSV-1 F or McKrae. Several of these pathways, such as integrin-, ephrin B-, and ephrin receptor-signaling as well as adherens junction structure are involved in synaptic and cytoskeletal structure [63]. These data suggest that KOS infection induces differential responses in synaptic and cytoskeletal morphology that may impact its intracellular transport, cell-to-cell transmission, and potentially its neurovirulence in vivo.
Genes identified within pathways of interest were individually plotted (Fig 1C). In particular, nectin-1, beta-catenin (CTNNB1, or catenin beta 1), and delta-like canonical Notch ligand 1 (DLL1) were chosen from the remodeling of epithelial adherens junctions pathway, and clathrin light chain A (CLTA) was chosen from endocytosis-related pathways. Specific transcripts were chosen based on raw expression levels (i.e., the gene transcript that demonstrated the highest level of expression was chosen as the ‘main’ transcript and plotted in Fig 1C) (see S2 Table for list of all differentially expressed host transcripts). Some transcripts of interest showed differential expression in all viral-infected groups versus mock-infected neurons only (e.g. beta-catenin and clathrin light chain), while others also displayed significant differences between viral strains (e.g. nectin-1 and delta-like DLL1). Of note, alterations in host gene expression did not occur in one direction only; for example, nectin-1 decreased in expression in all infected neurons as compared to mock, while delta-like DLL1 expression increased in all infected neurons (Fig 1C).
HSV-1 strains KOS, F, and McKrae demonstrate differential viral gene expression patterns in neurons
The HSV-1 reference genome contains at least 76 canonical open reading frames, of which 49 are 3’ co-terminal [34, 64, 65]. Each set of overlapping, co-terminal genes was grouped together and counted as one transcriptional unit (TU) [30] to avoid ambiguity in mapping of reads to these areas of transcriptional overlap (Fig 2, S4 Table). Comparison of viral gene expression between infected groups and over time indicated that each virus strain exhibited distinct expression patterns of its TUs (Fig 3). Additionally, it was evident through our PCA (principal components PC1 = 35.5%, PC2 = 23.5%) that virus strain had a greater impact on viral gene expression than time post infection (Fig 3A). Differences in viral gene expression observed between strains were maintained across time, as evidenced by grouping of the 12 and 24 hpi time points within strain (Fig 3A). With the exception of KOS-infected neurons, the 12 and 24 hpi data formed sub-groups suggesting that there are changes in virus TU expression that are specific to these time points. These observations were manually highlighted in Fig 3A.
Given the differences in viral transcription that are evident between strains, we tested for differences in productive viral replication in this neuronal model. Viral titers were quantitated at 0, 6, 12, 24, and 48 hpi and compared between HSV-1 strains F, KOS, and McKrae (S3 Fig). A two-way analysis of variance (ANOVA) revealed a significant main effect of time post infection on viral titer (p<0.0001) with no significant main effect of virus strain. However, a significant interaction was identified between strain and time that impacts viral titer (p<0.0001). Post hoc analysis with a Bonferroni multiple testing correction (MTC) revealed no significant differences in viral titer evident between strains at 0, 6, and 12 hpi. At 24 hpi, strain F demonstrated a higher titer than McKrae (p = 0.009), and at 48 hpi strain F demonstrated a lower titer than both McKrae and KOS (p<0.001). Together, these results demonstrate that F, KOS, and McKrae exhibit similar growth kinetics at the early infection time points in our transcriptome analysis.
To explore these groups further, we looked for broad trends across viral TUs using hierarchical clustering of TU expression levels (logCPM) normalized by z-score (Fig 3B). Five major clusters resulted from this analysis. Clusters one and three (as labeled in Fig 3B) contained the majority of TUs and were distinguishable by TUs with the highest overall expression in F- or McKrae-infected (cluster 1) or KOS-infected cells (cluster 3), respectively. Clusters two and four were similar in that they showed relatively moderate KOS-derived TU expression, and alternated whether the highest or lowest TU expression came from F- or McKrae-infected cells. Finally, TUs in cluster five showed a more varied pattern of expression. Virus gene families (S4 Table) were distributed across these clusters, further supporting a non-uniform differential expression pattern to distinguish each strain. Of note, KOS TU expression patterns at 12 and 24 hpi (vertical cluster X) were more similar to each other than to F and McKrae at either 12 (vertical cluster Y) or 24 hpi (vertical cluster Z) (Fig 3B, vertical dendrograms), in keeping with the patterns of host responses to these strains (see Fig 1A). Additionally, KOS TU expression at 24 hpi was more similar to that exhibited by F and McKrae at 12 hpi than to F or McKrae at 24 hpi. These data highlight the viral transcriptional differences that exist between HSV-1 strains in neurons.
To investigate the most pronounced differences in viral gene transcription between strains, we fit a generalized linear model to the viral TU expression data, and contrasted groups by strain and time using a quasi-likelihood F-test. Of the 43 TUs, 11 were statistically significant (p<0.05, FDR<0.05) in at least two comparisons, and revealed a log fold change (logFC) ranging from 0.4–1.6 logCPM (Fig 4, see also Fig 3B and S4 Table). Comparisons that contrasted KOS vs. F or McKrae showed the highest number of differentially expressed TUs, which became more pronounced at 24 hpi. Contrasts between time points of the same strain showed almost no differential expression of TUs (S4 Table). Notably, these differences in gene expression consisted largely of TUs involved in DNA replication and DNA binding, as well as transcriptional regulation, and several glycoproteins (Fig 4, S4 Table). In particular, the TU containing the host and viral transcriptional regulator ICP22 (TU: US1, US12, start in IRS) showed less expression in KOS-infected cells than F- or McKrae-infections (p<0.00004, FDR<0.0009) (Fig 4B). Of the significant TUs, four out of five encoding a glycoprotein were expressed at a lower level in KOS-infected cells than in cells infected with F or McKrae. These include the axon-transport and viral egress associated TU: US8, US8A, US9, in which US8 encodes glycoprotein gE (p<0.001, FDR<0.007) (Fig 4B), and the viral fusion-associated glycoproteins gJ, gD, and gI that are encoded by TU: US5, US6, US7 (p<0.004, FDR<0.02).
A subset of viral TUs showed significantly higher expression in KOS-infected cells than in cells infected with F or McKrae (Fig 4B). Specifically, UL30, the virus-encoded DNA polymerase, demonstrated highest expression in KOS-infected neurons, and comparable expression between F- and McKrae-infected neurons (p<0.0002, FDR<0.002). Additionally, UL29, which encodes the integral DNA binding protein ICP8, was more highly expressed in KOS-infected neurons than in those infected with either F or McKrae (p<0.002, FDR<0.02). These differences either became significant at the 24-hour timepoint, or were already present at the 12-hour timepoint (S4 Table). Together, these data demonstrate that the viral transcriptome of each strain is slightly different, with a shared transcriptional program playing out with different timing and/or levels of each viral transcript. The differential gene expression of specific TUs may underlie the previously-observed differences in neurovirulence in vivo between these virus strains.
Morphological impacts of HSV-1 infection on human neurons
The host pathway analysis above revealed potential virus strain-specific differences in host-cell synaptic remodeling, neuronal connectivity, and cell cytoarchitecture during productive infection. We thus sought to confirm broad changes in neuronal morphology following HSV-1 infection using microscopy. To observe whether alterations in neuronal morphology reflected the host processes identified in the pathway analysis (Fig 1B), we performed time-lapse microscopy and scanning electron microscopy (SEM) of these human neuronal cells over the course of infection. Regardless of the virus strain used, neurons infected with HSV-1 F, KOS, or McKrae began to round up and clustered together by 12 hpi (Fig 5A; see S1–S4 Movies for full image series, and S4 Fig for inverted images). Additionally, the multiple long neurites emerging from each neuronal cell body began to fasciculate together after infection, and neuron-to-neuron contacts were also visibly impacted. These data correlate well with the host transcriptional pathway changes observed above (Fig 1B).
To obtain a higher resolution view of changes in cell-to-cell contacts and morphology in this setting, we performed SEM on HSV-1-infected neurons. Under normal conditions, differentiated SH-SY5Y neurons formed small clusters of neuronal cell bodies with well-defined cell-to-cell contacts (Fig 5B). Neurites projecting from cell bodies were long and distinct, and appeared to contact neighboring neurons. Additionally, extracellular matrix material was apparent in areas underlying neurites and neuronal cell bodies. In contrast, neurons infected with HSV-1 McKrae for just 6 hours showed a distinct increase in clustering of neuronal cell bodies (Fig 5B). In addition, cell borders changed in infected neurons, as neurons rounded up and points of contact between cell bodies became smaller. Neurites fasciculated together, while areas of extracellular matrix became less evident. Additionally, small filopodia-like projections formed diffusely across neuronal cell bodies (Fig 5B, white arrowheads). This observation agrees with previously published data, which demonstrated that increased formation of F-actin-based dendritic filopodia may aid in early infection of neurons [66]. Together, these morphological data supported the findings from the host pathway analysis, in that both analyses indicated alterations in cell-to-cell contacts and neuronal cytoarchitecture as a consequence of HSV-1 infection.
Assessment of viral protein levels
In order to explore how the observed changes in host and viral transcription are translated into infection-related changes in neuronal morphology, we performed targeted Western blots to explore several viral proteins in greater detail. At 12 hpi, neurons infected with HSV-1 KOS exhibited lower total viral protein levels than neurons infected with either F or McKrae (Fig 6A). In contrast, in Vero cells infected with the same three strains for 6 hours, equivalent levels of total viral protein were observed (Fig 6B). The levels of total viral protein in primary human foreskin fibroblasts (HFFs) at 6 hpi were not as equivalent across HSV-1 strains as observed in Vero cells (Figs 6C and S5A), and viral protein levels in KOS-infected HFFs were marginally lower than in cells infected with either F or McKrae. At an RNA level, the TU encoding US8, US8A, US9 demonstrated significantly less expression in KOS-infected neurons than neurons infected with either F (1.6 log2-fold lower) or McKrae (1.1 log2-fold lower) (Fig 4B). To examine these differences at the protein level, US8 (gE) and US9 were analyzed by Western blot. KOS-infected neurons, HFF, and Vero cells demonstrated no discernable US9 protein (Fig 6), which is consistent with a known point mutation in the KOS gene encoding US9 [44–46]. Consistent with what was observed at the RNA level (Fig 4B), the level of US9 protein was higher in strain F than strain McKrae. While all infected neurons showed gE protein at 12 hpi regardless of strain, neurons infected with KOS reproducibly exhibited less overall gE immunoreactivity, as well as reduced expression of the lower band in particular (Figs 6A and S5A). The upper, 75–80 kDa band has been hypothesized to represent mature fully glycosylated gE, while the lower 65 kDa band is thought to represent the cleaved, partially-glycosylated precursor of gE [67, 68]. This suggests that in neurons, KOS may produce less precursor gE than the other two strains, and/or these may be polar effects of the US9 mutation in KOS. Once again, strain-specific differences in total gE protein levels (both the upper and lower bands) were not observed in infected Vero cells (Fig 6B). In human fibroblasts (HFFs), marginal differences in the levels of gE were also observed between strains (Figs 6C and S5A); however, in contrast to neurons, the lower band appeared to demonstrate similar levels across all three strains. As predicted by the transcriptional analysis (Fig 4B), the viral glycoprotein gD (US6) also demonstrated lower protein levels in KOS-infected neurons than those infected with strains F or McKrae (Figs 6A and S5A). The virus strain-specific difference observed in neurons was not equally detected in Vero cells, as KOS-infected Vero cells had equivalent levels of gD protein relative to F and McKrae. However, McKrae-infected Vero cells demonstrated higher levels of the lower molecular weight band (Figs 6B and S5A). In human fibroblasts, the strain-specific patterns of gD protein levels mirrored those observed in neurons (Figs 6B and S5). These data emphasize the value of examining HSV-1 strain-specific differences in different cell types. Non-neuronal cells such as Vero and HFF cells are not necessarily predictive of differences in viral protein levels seen in neurons.
Several TUs did not show significant differences in gene expression between strains and over time in the neuronal transcriptome analysis. RNA expression of the TU containing the immediate early gene ICP0 (TU: LAT, RL1, RL2) was relatively consistent between strains and over time (Fig 4B), which was also reflected at the protein level in neurons, Vero, and HFF cells (Fig 6). Likewise, the TU encoding VP22 (TU: UL49A, UL49) was not statistically significantly different at the neuronal transcription level, and no differences in VP22 protein levels were observed between strains in infected neurons (Fig 6A). This was also true in infected Vero and HFF cells (Fig 6B and 6C). Together these data demonstrate our ability to detect strain-specific differences in gene transcription that correlate with differences in protein levels. These and the data above highlight the cell-type dependent differences in protein levels exhibited by different strains of HSV-1.
Effects of HSV-1 F, KOS, and McKrae on adherens junction components
Remodeling of epithelial adherens junctions was one of the host neuronal pathways identified as differentially impacted by each strain of HSV-1 (Fig 1B), suggesting that disruption of cell-to-cell contacts may differ between virus strains. We therefore hypothesized that altered expression of gD (US6), gE (US8), and US9 between strains may differentially impact host adherens junction structure, and therefore virus spread. This hypothesis was supported by changes observed in neuronal morphology following infection (Figs 5 and S4, S1–S4 Movies), as well as transcriptional and protein level changes in gE (US8), and gD (US6) expression (Figs 4C and 6A). These viral glycoproteins have been shown to play key roles in interacting with adherens junctions during viral spread from cell-to-cell, and host nectin-1 and beta-catenin have both been implicated in these interactions with HSV-1 [69–75]. While all viral-infected groups demonstrated significantly elevated beta-catenin transcript expression versus mock-infected neurons, no differences in transcript expression were observed between specific HSV-1 strains (Fig 1C). To examine beta-catenin further, immunofluorescence assays were performed on neurons at 6 hpi with either HSV-1 F, KOS, or McKrae. In mock-infected neurons, beta-catenin protein was diffuse, with areas of concentration at cell soma borders, and beta-catenin immunofluorescence was evident along neuronal processes (Fig 7A). Infection with all HSV-1 strains resulted in relatively similar beta-catenin immunofluorescence in neurons (Fig 7A), although quantitation revealed higher beta-catenin levels for strain F infection than strain McKrae (S6A Fig). No differences in total beta-catenin protein levels were evident at 12 hpi when assessed by Western blot (S6B Fig).
While beta-catenin showed no differential transcript expression between strains, another adherens junction component and known HSV-1 entry mediator, nectin-1, was differentially expressed between virus strains in infected neurons (Fig 1C). To investigate potential strain-dependent differences in nectin-1 localization and production, neurons were infected with either F, KOS, or McKrae for 6 hours and then immunolabeled for nectin-1. In mock-infected neurons, nectin-1 protein was diffuse, as evidenced by dense immunostaining in the cell body and immunofluorescence throughout neuronal processes (Fig 7B). While the immunofluorescence of nectin-1 appeared to decrease in all infected neurons and particularly in the neurites (Fig 7B), the overall quantitation of immunofluorescence revealed no changes in total fluorescence levels as compared with mock-infected neurons (S6A Fig). Western blot analysis of nectin-1 levels in infected neurons were inconclusive due to high background in neuronal cells (S6B Fig). Together, these immunofluorescence data (at 6 hpi) and changes in neuronal morphology (at 12 and 24 hpi; see Fig 5) reflect the host transcriptional changes in pathways associated with neuronal adherens junctions, integrin signaling, and others (Fig 1).
Discussion
It is clear that disease pathogenesis and prognosis are dependent on a combination of host- and virus-specific factors, especially in the case of HSV-1 infection. While many studies have elucidated host-cell-specific factors and viral factors that may contribute to HSV-1 disease and persistence, no studies have sought to simultaneously analyze both the host and viral transcriptomes during productive infection in different cell types and using different HSV-1 strains. Using this approach, the present study sought to reveal host- and virus-specific factors that may contribute to previously observed strain-dependent differences in HSV-1 neurovirulence in vivo [35, 40, 51]. To achieve this, we utilized an experimental model consisting of differentiated human SH-SY5Y neuroblastoma cells infected with one of three different strains of HSV-1 (F, KOS, and McKrae). Differences in virus and host transcription were analyzed in infected neurons over time and between virus strains (S1 Fig). This experimental approach allowed for the simultaneous assessment of both host and viral transcriptional changes during productive HSV-1 infection, providing important data on virus-host interactions in the specialized cell type of fully differentiated human neurons.
For both the viral and host transcriptomes, we found that virus strain used for infection had a significant impact on overall gene expression patterns. Both viral and host neuronal gene expression following infection with HSV-1 KOS were distinct from the patterns observed following infection with either F or McKrae (Figs 1A and 3A). This separation is corroborated by our observation of lower total viral protein levels in KOS-infected neurons (Fig 6A). Regardless of the HSV-1 strain used for infection, we saw changes in the transcriptional activation of a number of host pathways that regulate neuronal cell adhesion, migration, and cytoskeletal rearrangement (e.g., integrin, ILK, ephrin B, ephrin receptor signaling, and the regulation of epithelial adherens junctions; Fig 1B). Additionally, we observed the activation of host immune responses, including genes involved in pathways such as death receptor signaling and retinoic acid-mediated apoptosis signaling (Fig 1B). Broadly, these findings are in agreement with previous findings indicating the induction of host immune pathways with neuronal HSV-1 infection and latency, and the altered activation of neuronal cell adhesion and migration pathways [17, 19–21, 23, 24, 61].
Our data indicate that the three different strains of HSV-1 used in the current investigation cause host neurons to exhibit varying degrees of transcriptional responses for a number of these pathways. For example, many host pathways involved in signaling associated with cell adhesion, cytoskeletal reorganization, and cell migration demonstrate higher activation scores in KOS-infected neurons (Fig 1B). Differential activation of these pathways may alter cell adhesion and the number of cell contacts in a strain-specific manner, thereby impacting cell-to-cell spread of HSV-1. Analysis of neuronal morphology following infection (Fig 5, S1–S4 Movies), combined with these pathway data, suggest that there are strain-specific differences in the regulation of host adherens junction structure and cell-to-cell contacts. The HSV-1 protein gE localizes at adherens junctions, specifically with the host protein beta-catenin, and is hypothesized to utilize adherens junctions for cell-to-cell spread [69]. While the adherens junction protein beta-catenin demonstrated no overt strain-specific differences in protein levels, there appeared to be a subtle reduction in distal neurites after infection (Figs 7 and S6). This observation echoes recent data from non-neuronal cells that demonstrated relocalization of beta-catenin to the nucleus and viral replication compartments after infection with HSV-1 strain 17, leading to altered host gene transcription and facilitating late viral gene expression [31]. We were unable to detect beta-catenin localization in the nucleus due to the inherent autofluorescence of these neurons. However, future investigations could use other methods, such as the expression of fluorescently-tagged beta catenin, to test whether nuclear relocalization of beta-catenin also occurs in HSV-1-infected neurons and if this process exhibits any strain-specific differences.
In addition to its interactions with beta-catenin, HSV-1 protein gD has been shown to bind to nectin-1, mediating viral entry, and potentially impacting adherens junction stability [70, 72, 73, 76]. Nectin-1 serves as an important entry receptor for HSV-1 [74, 77, 78]. Prior studies have demonstrated internalization and decreased expression of nectin-1 at cell junctions in non-neuronal cells following HSV-1 infection and/or after co-culture with gD expressing cells [72, 79]. It has been hypothesized that the viral protein gD disrupts nectin-1 homophilic intercellular trans-interactions at cell junctions, and may replace nectin-1 at the cell surface, potentially facilitating HSV-1 entry and cell-to-cell spread [72, 76]. Previous studies used different strains of HSV-1 KOS in their model systems [45, 46, 80]. We observed strain-dependent differences in nectin-1 transcript expression in infected neurons at 12 and 24 hpi (Fig 1C). At 6 hpi, we did not observe overt differences in nectin-1 protein levels between strains, although there appeared to be a relocalization of nectin-1 out of neurites (Figs 7 and S6). Due to the loss of adhesion to the substrate at later time points in infection (Fig 5), it was not possible to examine nectin-1 immunofluorescence at later timepoints in this neuronal model. Given the previously described interactions between gD and nectin-1, and the differential gene expression and protein levels of gD as observed here (Figs 4 and 6A), there may be additional effects on nectin-1 protein at later timepoints in infected neurons. This hypothesis remains to be tested. The current data in combination with prior works suggest that the lower transcript and protein levels of gE and gD in neurons may contribute to the observed attenuation of HSV-1 KOS in vivo, and also contribute to its slower rate of neuronal cell-to-cell spread both in vitro and in vivo [35, 40, 62]. These data may inform current studies using this popular laboratory model strain of HSV-1 [40, 44–46].
Viral strain divergence in the activation of host-neuron pathways, such as adherens junction remodeling and signaling, may be due to differences in the expression of viral genes between strains. Viral glycoproteins in particular (Figs 3, 4 and 6) may differentially impact the ability of the virus to enter and spread, and thus the magnitude or speed of host-cell responses. Observed differences in viral protein levels between strains were evident in both neurons and primary human fibroblasts to varying degrees, but were lacking in Vero cells (Figs 6 and S5). It is well-known that Vero cells are defective in the production of interferon [81, 82]. This suggests that different strains of HSV-1 may have varying impacts on host cell immune responses, which could differ between cell types (e.g., neurons versus epithelial cells or fibroblasts). This hypothesis is supported by our data indicating that death receptor and retinoic acid-mediated apoptosis signaling demonstrates variable activation in neurons in a virus strain-specific manner, with KOS-infected neurons exhibiting the highest activation (Fig 1B). At present, it is unclear whether the differences in viral gene expression observed in this study (Figs 3 and 4) are more driven by viral genetics or by the strain-specific host response. However, it is likely that a complex interaction between virus strain-specific gene expression and host cell type-specific transcriptional responses contribute to the overall differences in pathogenesis and neurovirulence that have been previously observed for these strains in vivo [35, 40, 51]. Future studies should aim to investigate kinetic differences in viral gene expression and protein production between strains, in both epithelial and neuronal cell models.
HSV-1 strain comparisons using in vivo models have revealed that KOS is less neurovirulent when compared to other strains of HSV-1 [35, 40]. In prior analyses in human SH-SY5Y neurons, KOS exhibited slower replication than McKrae in a low-multiplicity of infection (MOI) assay of cell-to-cell spread (i.e. a multi-step growth curve) [62]. Our data using synchronous infection at a high dose (i.e. a single-step growth curve) demonstrate similar replication in differentiated SH-SY5Y neurons between strains F, KOS, and McKrae at early timepoints (0 to 12 hpi; S3 Fig). At 24 hpi and 48 hpi, strain F demonstrated statistically significant differences in titer. The similarity in replication at early timepoints suggests that inherent differences in viral replication are not driving the large transcriptomic differences observed between strains at 12 hpi (Fig 1). Rather it suggests that the early differences in viral and host transcriptomes which are evident at 12 hpi, lead to the later divergence in maximal titer achieved by each viral strain. The transcriptional differences observed here, in combination with additional inter-cellular signaling and immune responses that would normally occur in parallel during in vivo infection, may contribute to the previously observed divergence in overall neurovirulence of these strains in animal models [35, 40].
These and other circulating HSV-1 strains have numerous genetic differences [83–85], which have been proposed to impact observed phenotypic differences in HSV pathogenesis [86–88] and spread [89]. Many TUs containing HSV-1 glycoprotein transcripts (e.g., US5, US6, US7, US8, and UL44) demonstrated higher expression in F- and McKrae-infected neurons versus KOS-infected neurons (Figs 3B and 4). Conversely, the TU containing glycoprotein B (TU: UL27, UL28) exhibited higher expression in KOS-infected neurons at 24 hpi. Amino acid differences in HSV-1 glycoproteins can impact viral entry by modifying a strain’s ability to bind to cell entry receptors [52], an effect which can then be amplified over multiple rounds of cell to cell spread. Given the variable expression profiles of entry receptors between cell types [90], the observed differences in viral glycoprotein sequence, transcript expression, and protein levels between HSV-1 strains have the potential to impact virus spread in a cell-type-dependent manner. Alphaherpesviruses also exhibit genetic variability in short sequence repeats, which may impact transcriptional differences between strains [85, 91, 92], including of viral glycoproteins [91]. Future studies comparing these strains and their tandem repeat regions may provide key insights on strain-specific transcriptional regulation, and how the strain-specific expression level of key viral factors (e.g., glycoproteins) impacts viral spread and virulence.
The data presented here highlight the importance of using diverse strains of a given virus to probe neuron-virus interactions. Our study demonstrated that strain-specific differences in viral protein levels may become more pronounced in terminally differentiated neurons versus rapidly dividing cells such as Vero cells, which also lack an intact interferon response [81, 82] (Fig 6). Neuron-specific differential expression of gE and gD, compounded with cell-type independent differences in US9 expression between HSV-1 strains, likely influence host adherens junction structure and signaling [44, 45, 47–50]. This may result in alterations in neuron-to-neuron spread capabilities between strains, which would ultimately contribute to differences in virus spread within the nervous system in vivo. Previous analysis of HSV-1 transcript expression in MRC5 epithelial cells and primary trigeminal ganglion neurons demonstrated differences in the accumulation of viral immediate early transcripts between these cell types [25]. Differences in viral transcript expression between cell types may be further exacerbated by the selection of virus strain(s) used for infection. These results highlight the need for future comparative studies that investigate inter-strain differences in gene expression and protein levels in different cell types, in order to understand how these differences impact host-cell responses.
Since SH-SY5Y neurons are derived from a neuroblastoma cell line, future studies may seek to include the comparison of strain-specific differences in viral transcription and host responses in different human neuronal cell types, such as iPSCs and LUHMES cells [60, 93, 94]. Characteristics of HSV-1 infection observed in epithelial cells (e.g., readthrough of host genes [26], or relocalization of beta-catenin and the requirement for late viral gene expression [31]) should be further investigated using neuronal cell models. A larger panel of HSV-1 strains could also be included in future studies, including diverse clinical strains. Our Western blot data indicate potential differences in the glycosylation of the viral glycoproteins gD and gE between HSV-1 strains, and the extent of this phenotype differs between cell types (Fig 6). Glycosylation of envelope proteins has been indicated as a determinant of virulence in flaviviruses [95, 96]. As such, future studies may also aim to characterize potential differences in HSV-1 virion protein glycosylation between strains and examine how this may differ by cell type as well. It is also important to note that many new and non-canonical ORFs have recently been detected in models of productive HSV-1 infection of non-neuronal cells [29, 34]. It would be beneficial for future studies utilizing long-read sequencing [30, 97] and/or mass spectrometry-based approaches [34] to explore whether or not these novel transcripts and/or translated products are also detected during neuronal infection, and whether differential expression is evident between HSV-1 strains.
Methods
Cell culture, infections, and virus strain characterization
Maintenance and differentiation of the human SH-SY5Y neuroblastoma cell line (ATCC, CLR-2266) was performed as previously described [57, 62], in an approach that is based on prior protocols [98, 99]. Briefly, undifferentiated SH-SY5Y cells cultured in 35 mm2 dishes were gradually serum-deprived over the course of 10 days by treating with Eagle’s minimal essential medium (EMEM, Sigma) supplemented with decreasing concentrations of heat-inactivated fetal bovine serum albumin (FBS) (Hyclone), 1X penicillin-streptomycin (Life Technologies-Gibco), 2 mM L-glutamine (Thermo Fischer Scientific-Hyclone) and 10 μM retinoic acid (Sigma). On Day 10, cells were passaged onto extracellular matrix-coated plates or coverslips (MaxGel, Sigma) and cultured in neuronal terminal differentiation media, containing Neurobasal (Life Technologies-Gibco), 1X B-27 (Thermo Fischer Scientific), 2 mM Glutamax (Life Technologies-Gibco), 1X penicillin/streptomycin, 1 M KCl, 2 mM dibutyryl cyclic AMP (Sigma), 50 ng/mL brain-derived neurotrophic factor (BDNF, Sigma), and 10 μM retinoic acid [57]. Cells were considered to be terminally differentiated on day 18 post initial plating. Vero African green monkey kidney cells (ATCC, CCL-81) and primary human foreskin fibroblasts (HFFs) were maintained in Dulbecco’s minimal essential medium (DMEM) supplemented with 10% FBS, 1X penicillin/streptomycin, and 2 mM L-glutamine. HFFs were derived from newborn male foreskin, and were kindly provided by Dr. Todd Ridky, University of Pennsylvania.
For all transcriptomic studies, terminally differentiated neurons were infected with either HSV-1 strain F [41], KOS63D (provided by Richard Dix, referred to as KOS throughout, [35, 42]), or McKrae (obtained from James Hill, [43]). Strains F and KOS were originally isolated from the lips of patients with herpes labialis infection [35, 41, 42], while McKrae was isolated from the eye of a patient with HSV-1-associated keratitis [43]. All strains were passaged numerous times following isolation, and the exact genome sequences of each viral stock has been identified and published previously (F [84], KOS [45], and McKrae [100]). To ensure synchronous infection in light of the wide spacing of neurons relative to more densely plated fibroblast or epithelial cell lines, neurons were infected with 1.6e7 PFU per 35-mm2 dish (mock, n = 2; infected, n = 3-4/strain; each replicate was generated on the same day using the same passage neuronal culture). Purified virion preparations of each strain were used to infect neurons for the transcriptomic analysis. The virion purification protocol was based on prior protocols [101–103] and utilized a Nycodenz gradient instead of sucrose to improve virion integrity.
To determine the optimal infectious dose for synchronous infection of neuron cultures using purified virions, anti-HSV-1 immunofluorescence assays were performed. Fully differentiated neurons were infected with 1.2e6, 6e6, or 1.2e7 PFU of purified virions per 35-mm2 dish for 14 hours (n = 2 dishes per virus strain per dose). At 14 hpi, cells were rinsed with PBS, fixed with 3.2% paraformaldehyde/PBS for 10 minutes at room temperature, rinsed with PBS, and then permeabilized with 0.5% Triton X-100/3% BSA/PBS for 5 minutes. Once permeabilized, cells were blocked 0.1% Triton X-100/3% BSA/PBS for 30 minutes at room temperature, and then incubated with anti-HSV-1 primary antibody (DAKO, 1:100) in blocking buffer for 1 hour. Cells were washed twice with 3% BSA/PBS and then incubated with fluorescently-tagged anti-rabbit secondary antibody and Hoechst nuclear stain (anti-rabbit Alexa Fluor 633, 1:1000; Hoechst 1:1000). Following incubation with secondary antibody, cells were washed once with 3% BSA/PBS, twice with 0.1% Triton X-100/PBS, and then mounted with Aqua-Polymount (Polysciences) and stored at 4°C. Images were acquired using a Nikon Eclipse inverted epifluorescence microscope.
In order to test whether any differences in replication exist between F, KOS, and McKrae in neurons, a single-step growth curve was performed. Fully differentiated SH-SY5Y neurons grown in 35-mm2 dishes were infected with either F, KOS, or McKrae at a concentration of 1.6e7 PFU/dish (n = 4 dishes per strain per timepoint) and incubated for 1 hour at 37°C with rocking every 15 minutes. Following incubation, the inoculum was removed and replaced with fresh terminal differentiation media. Cells and media were then scraped and collected at 0, 6, 12, 24, and 48 hpi. Replicates from each timepoint were then titered on Vero cells. To determine strain- and time-dependent differences in replication, a 2-way ANOVA with interaction effects and post-hoc testing with Bonferroni multiple testing correction was performed.
All other experiments, including generation of SH-SY5Y, Vero, and HFF cell protein lysates, as well as fixed cells used for imaging, used an MOI of 10 for infection. Dilutions of viral inocula were prepared using neuronal terminal differentiation media for SH-SY5Y cells or DMEM supplemented with 2% FBS, 1X penicillin/streptomycin, and 2 mM L-glutamine for Vero and HFF cells. Mock-infected samples were treated with respective virus-free media alone. During infection, cells were incubated at 37°C for 1 hour with gentle rocking every 15 minutes. Media was then removed and replaced with fresh media.
RNA isolation and sequencing
RNA was isolated from differentiated SH-SY5Y neuronal cells at 12 and 24 hpi using the manufacturer’s protocol for Trizol (Thermo Fisher Scientific), with minor adaptations for low input samples. To harvest neuronal samples, media was gently removed and Trizol added directly to each sample dish. Pipette-facilitated fluid motion was sufficient to dissolve the neuronal network and enable sample transfer to an Eppendorf tube. Chloroform (0.2 volumes) was added to the Trizol-sample mixture and vigorously mixed, before phase separation via centrifugation on a phase-lock gel tube. Linear polyacrylamide was added to the aqueous layer, along with isopropanol (0.5 volumes), for an overnight precipitation. After centrifugation, the pellet was washed with 70–75% ethanol twice, then dried, and resuspended in 10 mM Tris-Cl, pH 8.5.
Total RNA quality was assessed using a 2100 Bioanalyzer (Agilent Technologies), and RNA concentration was quantified by QuBit (average yield = ~1.1 μg per sample; Thermo Fisher Scientific). Library preparation was performed according to manufacturer’s instructions using 500 ng total RNA input (TruSeq RNA kit, Illumina, Protocol Part# 15026495 Rev. D). Quality and quantity of cDNA libraries was then assessed by QuBit and Bioanalyzer. Samples were normalized to a molarity of 10 nM and pooled for sequencing. Three independent sequencing runs were performed using 100 base-pair sequencing on Illumina HiSeq platforms at Princeton University (paired-end), or Penn State University (single-end). Raw RNAseq data have been deposited at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) as BioProject number PRJNA593260.
Host and virus transcriptomic analysis
RNA-sequencing data was assessed for quality using FastX-Toolkit and FASTQC to measure base quality scores and other relevant metrics. Reads from run one (paired-end sequencing) were trimmed of any adapters via FastX-Toolkit and low-quality bases (lower than Q30) were trimmed using a sliding window of 15 in Trimmomatic. Length based filtering was then applied, with any reads under thirty base pairs in length being discarded. Reads from runs two and three (single-end sequencing) were of higher quality, and did not require trimming.
To analyze host transcriptional changes in response to infection, reads were mapped to the host genome (Homo sapiens (release 37) reference sequence (GRCh37/hg19) using the HiSat aligner with default settings. Transcripts were assembled with StringTie using the GRCh37 reference to guide the assembly process and read counts were generated using an accompanying Python script (prepDE.py). Read counts were normalized in EdgeR [104] by sequencing depth and batch effect removal, and low expression transcripts (< -1 median log counts per million (CPM)) were removed. Normalized counts were then fitted to a negative binomial generalized log-linear model (GLM), using empirical Bayes tagwise dispersions to estimate the dispersion parameter for each transcript. Differentially expressed genes were identified using GLM likelihood ratio tests. Statistical significance was determined using a Benjimini Hochberg MTC (α = 0.05 threshold, false discovery rate (FDR) < 0.05).
Assessment of differential HSV-1 gene expression is challenging due to the limitations of short sequencing reads in resolving splicing and 3’ co-terminal transcripts [30]. We used bowtie2 [105] to align reads to viral transcripts to avoid spurious detection of splicing due to areas of high sequence similarity in the HSV-1 genome, and the nature of Illumina short read sequencing. Virus transcripts were counted once per transcriptional unit (TU), such that non-overlapping gene transcripts were counted uniquely, and overlapping transcripts were counted as one unit (Fig 2, S4 Table). Virus TU data were normalized in EdgeR [104] for sequencing library size, sequencing run batch effects, and low expression transcripts. Normalized data was analyzed for differential gene expression using a GLM and quasi-likelihood F-tests. Statistical significance was determined using a Benjimini Hochberg MTC at an α = 0.05 threshold, and FDR < 0.05. Plots for both human and viral transcriptome data were generated using the ggplot2, ggfortify, ggbiplot, ggrepel, pheatmap, and EnhancedVolcano packages [106–111].
To determine pathways of host genes that are differentially regulated following HSV-1 infection, host-specific genes identified as differentially expressed following infection with either F, KOS, or McKrae at 12 hpi (p<0.05, Benjimini Hochberg MTC) were analyzed using Ingenuity Pathway Analysis (IPA) software (Qiagen). We then performed a Comparison Analysis within IPA to determine host pathways that may be differentially impacted by each HSV-1 strain.
Protein isolation and Western blotting
Neuronal protein lysates were isolated at 12 hpi as previously described (n = 4 independent neuronal cultures) [62]. Briefly, neurons were rinsed twice with 1X PBS, lysed in Radio Immunoprecipitation Assay (RIPA) buffer (Sigma Aldrich) supplemented with Pierce protease and phosphatase inhibitor (PPi) mini tablets (Thermo Scientific), scraped, and pooled into 1.5 mL centrifuge tubes. To ensure minimal loss of protein during media removal and washes, all media and PBS were removed, combined, and centrifuged at 1,000 x g for 2 minutes to pellet any cells that had lifted off of dishes during processing. Pellets were then washed twice with PBS, resuspended in RIPA + PPi, and combined with scraped cells. Vero protein lysates at 6 hpi were prepared by rinsing twice with 1X PBS, lysing in RIPA buffer supplemented with protease and phosphatase inhibitor tablets, and then scraping into 1.5 mL centrifuge tubes. All lysates were sonicated (80% amplitude, 10 seconds on/off, Q500 ultrasonic processor), rocked for 15 minutes at 4°C, and then centrifuged at 4°C at 12,500 x g for 10 minutes. Soluble protein present in the supernatant was removed and quantified using a Bicinchoninic acid (BCA) assay (Thermo Scientific) and a Nanodrop 2000c spectrophotometer.
Host and viral protein levels were assessed by Western blot as previously described [62]. Equal concentrations of protein were loaded and separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) (Miniprotean; Bio-Rad), and then transferred to nitrocellulose membranes (Amersham GE Healthcare) using a Trans Blot SD semi-dry electrophoresis transfer cell (Bio-Rad). Membranes were blocked with 5% non-fat dry milk in wash buffer (1 M Tris (pH 7.4), 154 mM NaCl, 0.2% Tween 20) overnight at 4°C with gentle rocking. Blocked membranes were then incubated with primary antibody (see S5 Table) diluted in blocking buffer for 2 hours at room temperature. Membranes were then washed 3 times, incubated with species-specific secondary antibody diluted in blocking buffer for 1 hour at room temperature, washed again, and developed using either enhanced chemiluminescence substrate or SuperSignal West Dura substrate (Thermo Scientific). Generation of pixel intensity profiles of representative lanes and band volume quantitation were performed using ImageQuant 8.1 (GE Healthcare), with image rectangle background subtraction applied to all images.
Immunofluorescence of fixed cells
Immunofluorescence assays were performed as previously described (n = 3 independent neuronal cultures, 2 coverslips per condition) [62, 112]. Partially differentiated SH-SY5Y cells were plated onto MaxGel (Sigma) coated coverslips on day 10 of differentiation and maintained until terminal differentiation on day 18 [57]. Following terminal differentiation, neurons were counted and then infected with KOS, F, or McKrae at an MOI of 10 for 6 hours. We were unable to perform immunofluorescence assays on fully differentiated SH-SY5Y cells at 12 hpi, since most infected neurons lose their contact adhesion at this stage of infection. At 6 hpi, coverslips were rinsed twice with 1X PBS, fixed with 4% paraformaldehyde/PBS, washed with PBS, and then permeabilized with 0.1% Triton X-100/PBS for 10 minutes. Cells were then blocked with 10% goat serum diluted in PBS for 1 hour at room temperature and incubated with primary antibody (see S5 Table) diluted in the same blocking buffer overnight at 4°C in a humid chamber. Coverslips were washed in PBS, and incubated in species-specific fluorescence-labeled F(ab’)2 fragment secondary antibody (Jackson ImmunoResearch) and Hoechst nuclear stain (HST; 1:10,000) for 1.5 hours at room temperature in a light-protected humid chamber. Cells were then washed in PBS and mounted onto glass slides using ProLong Gold antifade mounting medium (Thermo Fischer Scientific) and allowed to dry overnight. Images were acquired using a Nikon Ti Eclipse inverted epifluorescence microscope with equivalent laser settings applied to all coverslips within a comparison. Image z-stacks were imported into Fiji (ImageJ) where each sample was visualized as a maximum projection and background subtraction was applied (rolling ball radius = 100 pixels). Image quantitation was performed in Fiji (ImageJ), where each image was visualized as a sum projection, background subtracted, and the mean gray value was assessed. For each group, 5 to 14 fields of view were analyzed. Processed images were then imported into Adobe PhotoShop where brightness and contrast was adjusted equally across images within a comparison.
Live-cell imaging
Acquisition of time-lapse videos was performed as previously described [62]. Briefly, fully differentiated SH-SY5Y neuroblastoma cells were infected with viral inocula diluted in neuronal terminal differentiation media for 1 hour with gentle rocking every 15 minutes. Mock-infected neurons were treated with neuronal terminal differentiation media only. Following the 1 hour incubation, inocula was removed and 1 mL fresh warmed neuronal terminal differentiation media was added to each 35 mm2 dish. Brightfield images were acquired of mock-, F-, KOS-, and McKrae-infected neurons at 20X magnification every hour for 24 hours using a Nikon Ti Eclipse microscope equipped with a stage-top incubator (Tokai Hit). For each sample, three image series per well were acquired (Mock, n = 2 wells; F, KOS, McKrae, n = 3 wells). Time-lapse data were imported into Fiji, brightness and contrast of brightfield images were adjusted, and movies were exported at 1 frame/second.
Scanning electron microscopy (SEM)
Neurons were differentiated and passaged onto MaxGel-coated coverslips as described above (n = 2 independent neuronal cultures, 2 coverslips each). Following terminal differentiation, neurons were either mock-infected with media containing no virus or infected with HSV-1 McKrae at an MOI of 10 for 6 hours. Due to insufficient cell adhesion to withstand the SEM sample preparation and imaging, it was not possible to collect SEM data at 12 hpi. Coverslips were rinsed twice with 1XPBS and then fixed with 2.5% glutaraldehyde in 0.1M sodium phosphate buffer at room temperature for 30 minutes. Neurons were washed 3 times with 0.1M sodium phosphate buffer, and then dehydrated in a series of ethanol washes (25%, 50%, 70%, 85%, and 95% one time each for 5 minutes, and then 100% ethanol 3 times). Dehydrated cells were prepared for EM by critical point drying (Leica EM CPD300, Leica, Wetzlar, Germany) and sputter-coating with gold (Denton). Neuronal cells were imaged using a Zeiss Sigma VP-FESEM (Zeiss, Thornwood, NY).
Supporting information
Acknowledgments
We appreciate the mentorship of Dr. Lynn Enquist for early phases of this research, and current and former members of the Szpara lab for their contributions to its later development. We also thank Yolanda Tafuri for her exceptional work in the initiation of these studies. We thank the faculty and staff of the Huck Microscopy Facility at Penn State University for their support and guidance during imaging experiments, as well as Dr. Harvey Friedman for gE antibody and Dr. Bill Freeman for software access. Human fibroblasts were kindly provided by Dr. Todd Ridky, University of Pennsylvania.
Data Availability
Raw RNAseq data have been deposited at the National Center for Biotechnology Information (NCBI) Sequence Read Archive as Bioproject number PRJNA593260. All other data are within the manuscript and its Supporting Information files.
Funding Statement
This research was supported by a postdoctoral fellowship award from the American Heart Association to C.A.M. (16POST29920001), a Commonwealth Universal Research Enhancement Program (CURE) grant from the Pennsylvania Department of Health (M.L.S.), an Academic Computing Fellowship from the Graduate School of the Pennsylvania State University (M.M.R.), and startup funds from the Pennsylvania State University (M.L.S.). Additional support was provided by NIH R01 AI132692 (M.L.S.) and NIH 5 T32 GM 102057-5 (M.M.R.). This work was initiated in the lab of Dr. Lynn W. Enquist (Princeton University, L.W.E.), with funding from a Driving Biological Project award of the NIH-NIAID Virus Pathogen Resource (ViPR) Bioinformatics Resource Center (M.L.S.), NIH-NIGMS Center (grant P50 GM071508, L.W.E.), and NIH (grant P40 RR 018604 [M.L.S.]). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Looker KJ, Magaret AS, May MT, Turner KME, Vickerman P, Gottlieb SL, et al. Global and regional estimates of prevalent and incident herpes simplex virus type 1 infections in 2012. PLoS ONE. 2015;10: e0140765. 10.1371/journal.pone.0140765 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Roizman B, Knipe DM, Whitley R. Herpes Simplex Viruses. 6th ed. In: Knipe DM, Howley PM, editors. Fields Virology. 6th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2013. pp. 1823–1897. [Google Scholar]
- 3.Harris SA, Harris EA. Molecular Mechanisms for Herpes Simplex Virus Type 1 Pathogenesis in Alzheimer’s Disease. Front Aging Neurosci. 2018;10. 10.3389/fnagi.2018.00048 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Piacentini R, Puma DDL, Ripoli C, Marcocci ME, Chiara GD, Garaci E, et al. Herpes Simplex Virus type-1 infection induces synaptic dysfunction in cultured cortical neurons via GSK-3 activation and intraneuronal amyloid-β protein accumulation. Sci Rep. 2015;5: 15444. 10.1038/srep15444 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.De Chiara G, Piacentini R, Fabiani M, Mastrodonato A, Marcocci ME, Limongi D, et al. Recurrent herpes simplex virus-1 infection induces hallmarks of neurodegeneration and cognitive deficits in mice. Kalejta RF, editor. PLOS Pathog. 2019;15: e1007617. 10.1371/journal.ppat.1007617 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lövheim H, Gilthorpe J, Johansson A, Eriksson S, Hallmans G, Elgh F. Herpes simplex infection and the risk of Alzheimer’s disease: A nested case-control study. Alzheimers Dement J Alzheimers Assoc. 2015;11: 587–592. 10.1016/j.jalz.2014.07.157 [DOI] [PubMed] [Google Scholar]
- 7.Lövheim H, Norman T, Weidung B, Olsson J, Josefsson M, Adolfsson R, et al. Herpes Simplex Virus, APOE ɛ4, and Cognitive Decline in Old Age: Results from the Betula Cohort Study. J Alzheimers Dis. 2019;67: 211–220. 10.3233/JAD-171162 [DOI] [PubMed] [Google Scholar]
- 8.Readhead B, Haure-Mirande J-V, Funk CC, Richards MA, Shannon P, Haroutunian V, et al. Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus. Neuron. 2018;99: 64–82.e7. 10.1016/j.neuron.2018.05.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Mangold CA, Szpara ML. Persistent infection with herpes simplex virus 1 and Alzheimer’s disease—a call to study how variability in both virus and host may impact disease. Viruses. 2019;11: 966. 10.3390/v11100966 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ball MJ. Limbic predilection in Alzheimer dementia: is reactivated herpesvirus involved? Can J Neurol Sci J Can Sci Neurol. 1982;9: 303–306. 10.1017/s0317167100044115 [DOI] [PubMed] [Google Scholar]
- 11.Siscovick DS, Schwartz SM, Corey L, Grayston JT, Ashley R, Wang SP, et al. Chlamydia pneumoniae, herpes simplex virus type 1, and cytomegalovirus and incident myocardial infarction and coronary heart disease death in older adults: the Cardiovascular Health Study. Circulation. 2000;102: 2335–2340. 10.1161/01.cir.102.19.2335 [DOI] [PubMed] [Google Scholar]
- 12.Benditt EP, Barrett T, McDougall JK. Viruses in the etiology of atherosclerosis. Proc Natl Acad Sci. 1983;80: 6386–6389. 10.1073/pnas.80.20.6386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gyorkey F, Melnick JL, Guinn GA, Gyorkey P, DeBakey ME. Herpesviridae in the endothelial and smooth muscle cells of the proximal aorta in arteriosclerotic patients. Exp Mol Pathol. 1984;40: 328–339. 10.1016/0014-4800(84)90050-9 [DOI] [PubMed] [Google Scholar]
- 14.Smith KO, Gehle WD, Sanford BA. Evidence for chronic viral infections in human arteries. Proc Soc Exp Biol Med Soc Exp Biol Med N Y N. 1974;147: 357–360. 10.3181/00379727-147-38341 [DOI] [PubMed] [Google Scholar]
- 15.Yamashiroya HM, Ghosh L, Yang R, Robertson AL Jr. Herpesviridae in the coronary arteries and aorta of young trauma victims. Am J Pathol. 1988;130: 71. [PMC free article] [PubMed] [Google Scholar]
- 16.Szpara ML, Kobiler O, Enquist LW. A common neuronal response to alphaherpesvirus infection. J Neuroimmune Pharmacol. 2010;5: 418–27. 10.1007/s11481-010-9212-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Clement C, Popp MP, Bloom DC, Schultz G, Liu L, Neumann DM, et al. Microarray analysis of host gene expression for comparison between naive and HSV-1 latent rabbit trigeminal ganglia. Mol Vis. 2008;14: 1209–21. [PMC free article] [PubMed] [Google Scholar]
- 18.Clement C, Bhattacharjee PS, Kaufman HE, Hill JM. Heat-induced reactivation of HSV-1 in latent mice: upregulation in the TG of CD83 and other immune response genes and their LAT-ICP0 locus. Invest Ophthalmol Vis Sci. 2009;50: 2855–61. 10.1167/iovs.08-2430 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kent JR, Fraser NW. The cellular response to herpes simplex virus type 1 (HSV-1) during latency and reactivation. J Neurovirol. 2005;11: 376–83. 10.1080/13550280591002405 [DOI] [PubMed] [Google Scholar]
- 20.Kramer MF, Cook WJ, Roth FP, Zhu J, Holman H, Knipe DM, et al. Latent Herpes Simplex Virus Infection of Sensory Neurons Alters Neuronal Gene Expression. J Virol. 2003;77: 9533–9541. 10.1128/jvi.77.17.9533-9541.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Paulus C, Sollars PJ, Pickard GE, Enquist LW. Transcriptome Signature of Virulent and Attenuated Pseudorabies Virus-Infected Rodent Brain. J Virol. 2006;80: 1773–1786. 10.1128/JVI.80.4.1773-1786.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Trousdale MD, Steiner I, Spivack JG, Deshmane SL, Brown SM, MacLean AR, et al. In vivo and in vitro reactivation impairment of a herpes simplex virus type 1 latency-associated transcript variant in a rabbit eye model. J Virol. 1991;65: 6989–6993. 10.1128/JVI.65.12.6989-6993.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Danaher RJ, McGarrell BS, Stromberg AJ, Miller CS. Herpes simplex virus type 1 modulates cellular gene expression during quiescent infection of neuronal cells. Arch Virol. 2008;153: 1335–45. 10.1007/s00705-008-0122-x [DOI] [PubMed] [Google Scholar]
- 24.Prehaud C, Megret F, Lafage M, Lafon M. Virus Infection Switches TLR-3-Positive Human Neurons To Become Strong Producers of Beta Interferon. J Virol. 2005;79: 12893–12904. 10.1128/JVI.79.20.12893-12904.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Harkness JM, Kader M, DeLuca NA. Transcription of the Herpes Simplex Virus 1 Genome during Productive and Quiescent Infection of Neuronal and Nonneuronal Cells. J Virol. 2014;88: 6847–6861. 10.1128/JVI.00516-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Rutkowski AJ, Erhard F, L’Hernault A, Bonfert T, Schilhabel M, Crump C, et al. Widespread disruption of host transcription termination in HSV-1 infection. Nat Commun. 2015;6: 7126. 10.1038/ncomms8126 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wyler E, Menegatti J, Franke V, Kocks C, Boltengagen A, Hennig T, et al. Widespread activation of antisense transcription of the host genome during herpes simplex virus 1 infection. Genome Biol. 2017;18. 10.1186/s13059-017-1329-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Boldogkői Z, Szűcs A, Balázs Z, Sharon D, Snyder M, Tombácz D. Transcriptomic study of Herpes simplex virus type-1 using full-length sequencing techniques. Sci Data. 2018;5: 180266. 10.1038/sdata.2018.266 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tombácz D, Moldován N, Balázs Z, Gulyás G, Csabai Z, Boldogkői M, et al. Multiple Long-Read Sequencing Survey of Herpes Simplex Virus Dynamic Transcriptome. Front Genet. 2019;10. 10.3389/fgene.2019.00834 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Depledge DP, Srinivas KP, Sadaoka T, Bready D, Mori Y, Placantonakis DG, et al. Direct RNA sequencing on nanopore arrays redefines the transcriptional complexity of a viral pathogen. Nat Commun. 2019;10: 1–13. 10.1038/s41467-018-07882-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Drayman N, Patel P, Vistain L, Tay S. HSV-1 single-cell analysis reveals the activation of anti-viral and developmental programs in distinct sub-populations. eLife. 2019;8. 10.7554/eLife.46339 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wyler E, Franke V, Menegatti J, Kocks C, Boltengagen A, Praktiknjo S, et al. Single-cell RNA-sequencing of herpes simplex virus 1-infected cells connects NRF2 activation to an antiviral program. Nat Commun. 2019;10. 10.1038/s41467-019-12894-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Hu M, Depledge DP, Cortes EF, Breuer J, Schang LM. Chromatin dynamics and the transcriptional competence of HSV-1 genomes during lytic infections. PLOS Pathog. 2019;15: e1008076. 10.1371/journal.ppat.1008076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Whisnant AW, Jürges CS, Hennig T, Wyler E, Prusty B, Rutkowski AJ, et al. Integrative functional genomics decodes herpes simplex virus 1. Nat Commun. 2020;11. 10.1038/s41467-020-15992-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Dix RD, McKendall RR, Baringer JR. Comparative neurovirulence of herpes simplex virus type 1 strains after peripheral or intracerebral inoculation of BALB/c mice. Infect Immun. 1983;40: 103–112. 10.1128/IAI.40.1.103-112.1983 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Card JP, Enquist LW. Neurovirulence of pseudorabies virus. Crit Rev Neurobiol. 1995;9: 137–162. [PubMed] [Google Scholar]
- 37.Richards JT, Kern ER, Overall JC, Glasgow LA. Differences in neurovirulence among isolates of Herpes simplex virus types 1 and 2 in mice using four routes of infection. J Infect Dis. 1981;144: 464–71. 10.1093/infdis/144.5.464 [DOI] [PubMed] [Google Scholar]
- 38.Thompson RL, Rogers SK, Zerhusen MA. Herpes simplex virus neurovirulence and productive infection of neural cells is associated with a function which maps between 0.82 and 0.832 map units on the HSV genome. Virology. 1989;172: 435–450. 10.1016/0042-6822(89)90186-4 [DOI] [PubMed] [Google Scholar]
- 39.Taylor MP, Enquist LW. Axonal spread of neuroinvasive viral infections. Trends Microbiol. 2015. 10.1016/j.tim.2015.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang H, Davido DJ, Morrison LA. HSV-1 strain McKrae is more neuroinvasive than HSV-1 KOS after corneal or vaginal inoculation in mice. Virus Res. 2013;173: 436–40. 10.1016/j.virusres.2013.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ejercito PM, Kieff ED, Roizman B. Characterization of herpes simplex virus strains differing in their effects on social behaviour of infected cells. J Gen Virol. 1968;2: 357–364. 10.1099/0022-1317-2-3-357 [DOI] [PubMed] [Google Scholar]
- 42.Smith KO. Relationship Between the Envelope and the Infectivity of Herpes Simplex Virus. Exp Biol Med. 1964;115: 814–816. 10.3181/00379727-115-29045 [DOI] [PubMed] [Google Scholar]
- 43.Williams LE, Nesburn AB, Kaufman HE. Experimental induction of disciform keratitis. Arch Ophthalmol. 1965;73: 112–114. 10.1001/archopht.1965.00970030114023 [DOI] [PubMed] [Google Scholar]
- 44.Negatsch A, Mettenleiter TC, Fuchs W. Herpes simplex virus type 1 strain KOS carries a defective US9 and a mutated US8A gene. J Gen Virol. 2011;92: 167–72. 10.1099/vir.0.026484-0 [DOI] [PubMed] [Google Scholar]
- 45.Bowen CD, Renner DW, Shreve JT, Tafuri Y, Payne KM, Dix RD, et al. Viral forensic genomics reveals the relatedness of classic herpes simplex virus strains KOS, KOS63, and KOS79. Virology. 2016;492: 179–186. 10.1016/j.virol.2016.02.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Colgrove RC, Liu X, Griffiths A, Raja P, Deluca NA, Newman RM, et al. History and genomic sequence analysis of the herpes simplex virus 1 KOS and KOS1.1 sub-strains. Virology. 2016;487: 215–221. 10.1016/j.virol.2015.09.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Draper JM, Huang G, Stephenson GS, Bertke AS, Cortez D a, LaVail JH. Delivery of herpes simplex virus to retinal ganglion cell axon is dependent on viral protein Us9. Invest Ophthalmol Vis Sci. 2013;54: 962–7. 10.1167/iovs.12-11274 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Miranda-Saksena M, Boadle RA, Diefenbach RJ, Cunningham AL. Dual Role of Herpes Simplex Virus 1 pUS9 in Virus Anterograde Axonal Transport and Final Assembly in Growth Cones in Distal Axons. J Virol. 2016;90: 2653–2663. 10.1128/JVI.03023-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.DuRaine G, Wisner TW, Howard P, Williams M, Johnson DC. Herpes Simplex Virus gE/gI and US9 Promote both Envelopment and Sorting of Virus Particles in the Cytoplasm of Neurons, Two Processes That Precede Anterograde Transport in Axons. J Virol. 2017;91. 10.1128/JVI.00050-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.DuRaine G, Wisner TW, Johnson DC. Characterization of the Herpes Simplex Virus (HSV) Tegument Proteins That Bind to gE/gI and US9, Which Promote Assembly of HSV and Transport into Neuronal Axons. J Virol. 2020;94: 15. 10.1128/JVI.01113-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hill JM, Rayfield MA, Haruta Y. Strain specificity of spontaneous and adrenergically induced HSV-1 ocular reactivation in latently infected rabbits. Curr Eye Res. 1987;6: 91–97. 10.3109/02713688709020074 [DOI] [PubMed] [Google Scholar]
- 52.Chowdhury S, Naderi M, Chouljenko VN, Walker JD, Kousoulas KG. Amino acid differences in glycoproteins B (gB), C (gC), H (gH) and L (gL) are associated with enhanced herpes simplex virus type-1 (McKrae) entry via the paired immunoglobulin-like type-2 receptor α. Virol J. 2012;9: 1–8. 10.1186/1743-422X-9-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Askovich PS, Sanders CJ, Rosenberger CM, Diercks AH, Dash P, Navarro G, et al. Differential Host Response, Rather Than Early Viral Replication Efficiency, Correlates with Pathogenicity Caused by Influenza Viruses. PLoS ONE. 2013;8. 10.1371/journal.pone.0074863 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Österlund P, Jiang M, Westenius V, Kuivanen S, Järvi R, Kakkola L, et al. Asian and African lineage Zika viruses show differential replication and innate immune responses in human dendritic cells and macrophages. Sci Rep. 2019;9: 15710. 10.1038/s41598-019-52307-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Sessions OM, Tan Y, Goh KC, Liu Y, Tan P, Rozen S, et al. Host Cell Transcriptome Profile during Wild-Type and Attenuated Dengue Virus Infection. PLoS Negl Trop Dis. 2013;7: e2107. 10.1371/journal.pntd.0002107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Tripathi S, Balasubramaniam VRMT, Brown JA, Mena I, Grant A, Bardina SV, et al. A novel Zika virus mouse model reveals strain specific differences in virus pathogenesis and host inflammatory immune responses. PLOS Pathog. 2017;13: e1006258. 10.1371/journal.ppat.1006258 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Shipley MM, Mangold CA, Szpara ML. Differentiation of the SH-SY5Y human neuroblastoma cell line. J Vis Exp. 2016. 10.3791/53193 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Curanović D, Ch’ng TH, Szpara M, Enquist L. Compartmented neuron cultures for directional infection by alpha herpesviruses. Curr Protoc Cell Biol. 2009;Chapter 26: Unit 26.4-Unit 26.23. 10.1002/0471143030.cb2604s43 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Taylor MP, Kobiler O, Enquist LW. Alphaherpesvirus axon-to-cell spread involves limited virion transmission. Proc Natl Acad Sci U S A. 2012;109: 17046–17051. 10.1073/pnas.1212926109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Zimmer B, Ewaleifoh O, Harschnitz O, Lee Y-S, Peneau C, McAlpine JL, et al. Human iPSC-derived trigeminal neurons lack constitutive TLR3-dependent immunity that protects cortical neurons from HSV-1 infection. Proc Natl Acad Sci. 2018;115: E8775–E8782. 10.1073/pnas.1809853115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Qiao H, Guo M, Shang J, Zhao W, Wang Z, Liu N, et al. Herpes simplex virus type 1 infection leads to neurodevelopmental disorder-associated neuropathological changes. Feng P, editor. PLOS Pathog. 2020;16: e1008899. 10.1371/journal.ppat.1008899 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Shipley MM, Mangold CA, Kuny CV, Szpara ML. Differentiated human SH-SY5Y cells provide a reductionist model of herpes simplex virus 1 neurotropism. J Virol. 2017;91: pii: e00958–17. 10.1128/JVI.00958-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kilinc D. The Emerging Role of Mechanics in Synapse Formation and Plasticity. Front Cell Neurosci. 2018;12. 10.3389/fncel.2018.00012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.McGeoch DJ, Dolan A, Donald S, Rixon FJ. Sequence determination and genetic content of the short unique region in the genome of herpes simplex virus type 1. J Mol Biol. 1985;181: 1–13. 10.1016/0022-2836(85)90320-1 [DOI] [PubMed] [Google Scholar]
- 65.McGeoch DJ, Dalrymple MA, Davison AJ, Dolan A, Frame MC, McNab D, et al. The complete DNA sequence of the long unique region in the genome of herpes simplex virus type 1. J Gen Virol. 1988;69: 1531–74. 10.1099/0022-1317-69-7-1531 [DOI] [PubMed] [Google Scholar]
- 66.Xiang Y, Zheng K, Ju H, Wang S, Pei Y, Ding W, et al. Cofilin 1-Mediated Biphasic F-Actin Dynamics of Neuronal Cells Affect Herpes Simplex Virus 1 Infection and Replication. J Virol. 2012;86: 8440–8451. 10.1128/JVI.00609-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Ghiasi H, Kaiwar R, Nesburn AB, Slanina S, Wechsler SL. Baculovirus-expressed glycoprotein E (gE) of herpes simplex virus type-1 (HSV-1) protects mice against lethal intraperitoneal and lethal ocular HSV-1 challenge. Virology. 1992;188: 469–476. 10.1016/0042-6822(92)90500-o [DOI] [PubMed] [Google Scholar]
- 68.Para MF, Baucke RB, Spear PG. Glycoprotein gE of herpes simplex virus type 1: effects of anti-gE on virion infectivity and on virus-induced fc-binding receptors. J Virol. 1982;41: 129–136. Available: 10.1128/JVI.41.1.129-136.1982 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Dingwell KS, Johnson DC. The herpes simplex virus gE-gI complex facilitates cell-to-cell spread and binds to components of cell junctions. J Virol. 1998;72: 8933–8942. 10.1128/JVI.72.11.8933-8942.1998 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Geraghty RJ, Krummenacher C, Cohen GH, Eisenberg RJ, Spear PG. Entry of alphaherpesviruses mediated by poliovirus receptor-related protein 1 and poliovirus receptor. Science. 1998;280: 1618–1620. 10.1126/science.280.5369.1618 [DOI] [PubMed] [Google Scholar]
- 71.Kopp SJ, Banisadr G, Glajch K, Maurer UE, Grünewald K, Miller RJ, et al. Infection of neurons and encephalitis after intracranial inoculation of herpes simplex virus requires the entry receptor nectin-1. Proc Natl Acad Sci U S A. 2009;106: 17916–17920. 10.1073/pnas.0908892106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Krummenacher C, Baribaud I, Eisenberg RJ, Cohen GH. Cellular Localization of Nectin-1 and Glycoprotein D during Herpes Simplex Virus Infection. J Virol. 2003;77: 8985–8999. 10.1128/jvi.77.16.8985-8999.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Krummenacher C, Baribaud I, Sanzo JF, Cohen GH, Eisenberg RJ. Effects of Herpes Simplex Virus on Structure and Function of Nectin-1/HveC. J Virol. 2002;76: 2424–2433. Available: 10.1128/jvi.76.5.2424-2433.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Simpson SA, Manchak MD, Hager EJ, Krummenacher C, Whitbeck JC, Levin MJ, et al. Nectin-1/HveC Mediates herpes simplex virus type 1 entry into primary human sensory neurons and fibroblasts. J Neurovirol. 2005;11: 208–218. 10.1080/13550280590924214 [DOI] [PubMed] [Google Scholar]
- 75.Zhang N, Yan J, Lu G, Guo Z, Fan Z, Wang J, et al. Binding of herpes simplex virus glycoprotein D to nectin-1 exploits host cell adhesion. Nat Commun. 2011;2: 577. 10.1038/ncomms1571 [DOI] [PubMed] [Google Scholar]
- 76.Bhargava AK, Rothlauf PW, Krummenacher C. Herpes simplex virus glycoprotein D relocates nectin-1 from intercellular contacts. Virology. 2016;499: 267–277. 10.1016/j.virol.2016.09.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Spear PG. Herpes simplex virus: receptors and ligands for cell entry. Cell Microbiol. 2004;6: 401–410. 10.1111/j.1462-5822.2004.00389.x [DOI] [PubMed] [Google Scholar]
- 78.Yoon M, Spear PG. Disruption of Adherens Junctions Liberates Nectin-1 To Serve as Receptor for Herpes Simplex Virus and Pseudorabies Virus Entry. J Virol. 2002;76: 7203–7208. 10.1128/jvi.76.14.7203-7208.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Stiles KM, Milne RSB, Cohen GH, Eisenberg RJ, Krummenacher C. The herpes simplex virus receptor nectin-1 is down-regulated after trans-interaction with glycoprotein D. Virology. 2008;373: 98–111. 10.1016/j.virol.2007.11.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Sato A, Linehan MM, Iwasaki A. Dual recognition of herpes simplex viruses by TLR2 and TLR9 in dendritic cells. Proc Natl Acad Sci U S A. 2006;103: 17343–17348. 10.1073/pnas.0605102103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Desmyter J, Melnick JL, Rawls WE. Defectiveness of interferon production and of rubella virus interference in a line of African green monkey kidney cells (Vero). J Virol. 1968;2: 955–961. 10.1128/JVI.2.10.955-961.1968 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Emeny JM, Morgan MJ. Regulation of the interferon system: evidence that Vero cells have a genetic defect in interferon production. J Gen Virol. 1979;43: 247–252. 10.1099/0022-1317-43-1-247 [DOI] [PubMed] [Google Scholar]
- 83.Bowen CD, Paavilainen H, Renner DW, Palomäki J, Lehtinen J, Vuorinen T, et al. HSV-1 strains circulating in Finland demonstrate uncoupling of geographic and phenotypic variation. 2018. 10.1101/424408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Szpara ML, Parsons L, Enquist LW. Sequence variability in clinical and laboratory isolates of herpes simplex virus 1 reveals new mutations. J Virol. 2010;84: 5303–13. 10.1128/JVI.00312-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Szpara ML, Gatherer D, Ochoa A, Greenbaum B, Dolan A, Bowden RJ, et al. Evolution and diversity in human herpes simplex virus genomes. J Virol. 2014;88: 1209–27. 10.1128/JVI.01987-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Bower JR, Mao H, Durishin C, Rozenbom E, Detwiler M, Rempinski D, et al. Intrastrain variants of herpes simplex virus type 1 isolated from a neonate with fatal disseminated infection differ in the ICP34.5 gene, glycoprotein processing, and neuroinvasiveness. J Virol. 1999;73: 3843–53. 10.1128/JVI.73.5.3843-3853.1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Mao H, Rosenthal KS. Strain-Dependent Structural Variants of Herpes Simplex Virus Type 1 ICP34.5 Determine Viral Plaque Size, Efficiency of Glycoprotein Processing, and Viral Release and Neuroinvasive Disease Potential. J Virol. 2003;77: 3409–3417. 10.1128/jvi.77.6.3409-3417.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Akhtar LN, Bowen CD, Renner DW, Pandey U, Della Fera AN, Kimberlin DW, et al. Genotypic and Phenotypic Diversity of Herpes Simplex Virus 2 within the Infected Neonatal Population. Goodrum F, editor. mSphere. 2019;4: e00590–18. 10.1128/mSphere.00590-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Zemanick MC, Strick PL, Dix RD. Direction of transneuronal transport of herpes simplex virus 1 in the primate motor system is strain-dependent. Proc Natl Acad Sci U S A. 1991;88: 8048–51. 10.1073/pnas.88.18.8048 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Agelidis AM, Shukla D. Cell entry mechanisms of HSV: what we have learned in recent years. Future Virol. 2015;10: 1145–1154. 10.2217/fvl.15.85 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Szpara ML, Tafuri YR, Parsons L, Shamim SR, Verstrepen KJ, Legendre M, et al. A wide extent of inter-strain diversity in virulent and vaccine strains of alphaherpesviruses. PLoS Pathog. 2011;7: 1–23. 10.1371/journal.ppat.1002282 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Vinces MD, Legendre M, Caldara M, Hagihara M, Verstrepen KJ, Kevin J. Unstable tandem repeats in promoters confer transcriptional evolvability. Science. 2009;324: 1213–1216. 10.1126/science.1170097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Edwards TG, Bloom DC. Lund Human Mesencephalic (LUHMES) Neuronal Cell Line Supports Herpes Simplex Virus 1 Latency In Vitro. Sandri-Goldin RM, editor. J Virol. 2019;93. 10.1128/JVI.02210-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.D’Aiuto L, Bloom DC, Naciri JN, Smith A, Edwards TG, McClain L, et al. Modeling Herpes Simplex Virus 1 Infections in Human Central Nervous System Neuronal Cells Using Two- and Three-Dimensional Cultures Derived from Induced Pluripotent Stem Cells. Sandri-Goldin RM, editor. J Virol. 2019;93. 10.1128/JVI.00111-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Carbaugh DL, Baric RS, Lazear HM. Envelope Protein Glycosylation Mediates Zika Virus Pathogenesis. J Virol. 2019;93. 10.1128/JVI.00113-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Carbaugh DL, Lazear HM. Flavivirus envelope protein glycosylation: impacts on viral infection and pathogenesis. J Virol. 2020. 10.1128/JVI.00104-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Depledge DP, Mohr I, Wilson AC. Going the Distance: Optimizing RNA-Seq Strategies for Transcriptomic Analysis of Complex Viral Genomes. Goodrum F, editor. J Virol. 2018;93. 10.1128/JVI.01342-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Christensen J, Steain M, Slobedman B, Abendroth A. Differentiated neuroblastoma cells provide a highly efficient model for studies of productive varicella-zoster virus infection of neuronal cells. J Virol. 2011;85: 8436–42. 10.1128/JVI.00515-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Encinas M, Iglesias M, Liu Y, Wang H, Muhaisen A, Ceña V, et al. Sequential treatment of SH-SY5Y cells with retinoic acid and brain-derived neurotrophic factor gives rise to fully differentiated, neurotrophic factor-dependent, human neuron-like cells. J Neurochem. 2000;75: 991–1003. 10.1046/j.1471-4159.2000.0750991.x [DOI] [PubMed] [Google Scholar]
- 100.Renner DW, Parsons L, Shreve JT, Engel EA, Kuny CV, Enquist L, Neumann D, Mangold C, Szpara ML. 2021. Genome sequence of the virulent model herpes simplex virus 1 strain McKrae demonstrates the presence of at least two widely used variant strains. Microbiol Resour Announc 10:e01146–19. 10.1128/MRA.01146-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Baldick CJ, Shenk T. Proteins associated with purified human cytomegalovirus particles. J Virol. 1996;70: 6097–6105. 10.1128/JVI.70.9.6097-6105.1996 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Sathananthan B, Rodahl E, Flatmark T, Langeland N, Haarr L. Purification of herpes simplex virus type 1 by density gradient centrifugation and estimation of the sedimentation coefficient of the virion. APMIS Acta Pathol Microbiol Immunol Scand. 1997;105: 238–246. 10.1111/j.1699-0463.1997.tb00564.x [DOI] [PubMed] [Google Scholar]
- 103.Szilágyi JF, Cunningham C. Identification and characterization of a novel non-infectious herpes simplex virus-related particle. J Gen Virol. 1991;72 (Pt 3): 661–668. 10.1099/0022-1317-72-3-661 [DOI] [PubMed] [Google Scholar]
- 104.Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26: 139–140. 10.1093/bioinformatics/btp616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9: 357–359. 10.1038/nmeth.1923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Blighe K. EnhancedVolcano: Publication-ready volcano plots with enhanced colouring and labeling. 2019. Available: https://github.com/kevinblighe/EnhancedVolcano [Google Scholar]
- 107.Horikoshi M, Tang Y. ggfortify: Data Visualization Tools for Statistical Analysis Results. 2016. Available: https://CRAN.R-project.org/package=ggfortify [Google Scholar]
- 108.Kolde R. pheatmap: Pretty Heatmaps. 2019. Available: https://CRAN.R-project.org/package=pheatmap
- 109.Slowikowski K. ggrepel: Automatically Position Non-Overlapping Text Labels with “ggplot2.” 2019. Available: https://CRAN.R-project.org/package=ggrepel
- 110.Vu VQ. ggbiplot: A ggplot2 based biplot. 2011. Available: http://github.com/vqv/ggbiplot
- 111.Wickham H. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag; New York; 2016. Available: https://ggplot2.tidyverse.org [Google Scholar]
- 112.Mangold CA, Yao PJ, Du M, Freeman WM, Benkovic SJ, Szpara ML. Expression of the purine biosynthetic enzyme phosphoribosyl formylglycinamidine synthase in neurons. J Neurochem. 2018;144: 723–735. 10.1111/jnc.14304 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw RNAseq data have been deposited at the National Center for Biotechnology Information (NCBI) Sequence Read Archive as Bioproject number PRJNA593260. All other data are within the manuscript and its Supporting Information files.