ABSTRACT
Hepatitis C virus (HCV) infection progresses to chronicity in the majority of infected individuals. Its high intra-host genetic variability enables HCV to evade the continuous selection pressure exerted by the host, contributing to persistent infection. Utilizing a cell culture-adapted HCV population (p100pop) which exhibits increased replicative capacity in various liver cell lines, this study investigated virus and host determinants that underlie enhanced viral fitness. Characterization of a panel of molecular p100 clones revealed that cell culture adaptive mutations optimize a range of virus-host interactions, resulting in expanded cell tropism, altered dependence on the cellular co-factor micro-RNA 122 and increased rates of virus spread. On the host side, comparative transcriptional profiling of hepatoma cells infected either with p100pop or its progenitor virus revealed that enhanced replicative fitness correlated with activation of endoplasmic reticulum stress signaling and the unfolded protein response. In contrast, infection of primary human hepatocytes with p100pop led to a mild attenuation of virion production which correlated with a greater induction of cell-intrinsic antiviral defense responses. In summary, long-term passage experiments in cells where selective pressure from innate immunity is lacking improves multiple virus-host interactions, enhancing HCV replicative fitness. However, this study further indicates that HCV has evolved to replicate at low levels in primary human hepatocytes to minimize innate immune activation, highlighting that an optimal balance between replicative fitness and innate immune induction is key to establish persistence.
IMPORTANCE
Hepatitis C virus (HCV) infection remains a global health burden with 58 million people currently chronically infected. However, the detailed molecular mechanisms that underly persistence are incompletely defined. We utilized a long-term cell culture-adapted HCV, exhibiting enhanced replicative fitness in different human liver cell lines, in order to identify molecular principles by which HCV optimizes its replication fitness. Our experimental data revealed that cell culture adaptive mutations confer changes in the host response and usage of various host factors. The latter allows functional flexibility at different stages of the viral replication cycle. However, increased replicative fitness resulted in an increased activation of the innate immune system, which likely poses boundary for functional variation in authentic hepatocytes, explaining the observed attenuation of the adapted virus population in primary hepatocytes.
KEYWORDS: hepatitis C virus, virus adaptation, innate immunity, host factors
INTRODUCTION
Hepatitis C virus (HCV) establishes a chronic infection in most exposed individuals. Indeed, in 2021, the World Health Organization reported that globally 58 million people were living with a chronic HCV infection (1). The mechanisms of underlying persistence are complex and remain elusive. One attribute is the high intra-host variability of HCV, which is conferred by error-prone replication of the virus. HCV circulates as a population of different, but closely related viral variants within a single infected individuum also termed quasispecies (2). Viral variants that dominate over time have the survival advantage over those lost in a “Darwinian” selection process that results in viral adaptation to specific cellular environments. There are several lines of evidence that long-term cell culture passage of HCV leads to viral adaptation, conferring optimized usage of host factors in a given cellular context used for viral selection. Interestingly, these adaptive changes in viral phenotypes are often host cell dependent. For example, phosphatidylinositol 4-kinase III alpha (PI4KA) is an essential cofactor required for HCV replication. Its natural function is to catalyze the synthesis of phosphatidylinositol 4-phosphate (PI4P). However, upon activation by interaction with NS5A, the phosphorylation status and, thereby, the activity of NS5A is altered, resulting in the induction of membrane rearrangements important for viral replication (3, 4).
Replication-enhancing mutations in subgenomic replicons (SGRs) were shown to compensate for overactivation of PI4KA in human Huh-7 hepatoma cells (5). Moreover, ectopic expression of SEC14L2, which has a reduced expression in hepatoma cell lines, is required for the propagation of selected HCV clinical isolates and SGRs in vitro but affected replication of cell culture-adapted SGRs only moderately (6, 7).
Previously, Perales et al. performed long-term serial passage of the HCV lab strain Jc1FLAG(p7-nsGluc2A) in highly permissive Huh-7.5 human hepatoma cells. After 100 passages, a viral population was recovered with enhanced replicative fitness when compared to the parental virus (8). The higher fitness of the adapted virus population, named p100 population (p100pop), was associated with increased shutoff of host cell protein synthesis, enhanced phosphorylation of protein kinase R (PKR), and reduced sensitivity to multiple anti-HCV inhibitors (9). Using p100pop, efficient recapitulation of the entire virus life cycle in stem cell-derived hepatocyte-like cells (HLCs) was achieved, which was not observed when infecting with Jc1 (10). Similarly, the enhanced replicative capacity of p100pop also partially overcomes the human-mouse species barrier. Indeed, completion of the full HCV life cycle in humanized murine liver tumor cells and humanized primary mouse hepatocytes upon inhibition of the JAK-STAT pathway, was achieved after p100pop infection but not observed with Jc1 (11). Comparison of the different transcript variations within the p100pop virus population to the parental Jc1 strain revealed the fixation of multiple adaptive coding mutations throughout the entire consensus sequence of the population (8, 11). These mutations underlie the improved replication phenotype observed in cell culture, HLCs, and engineered murine hepatocytes.
In this study, a panel of molecular clones based on the p100pop consensus sequence which considered the various major represented mutations were generated and phenotypically characterized with the aim of identifying viral and host determinants that enhance HCV fitness. Overall, this study sheds light on the complex mechanisms that allow HCV to establish persistent infection.
RESULTS
Genetic characterization of p100pop
Comparison of p100pop consensus sequence with the parental Jc1 genome revealed the fixation of 14 coding mutations (nonsynonymous) distributed throughout the viral genome (8, 11) (Fig. 1A; Table 1). Even though adaptation was performed over 100 passages, mutations were present in the virus population at different frequency levels ranging from around 50% up to 100% in the population (Fig. 1B), highlighting the heterogeneity of the adapted virus population. Since the impact of silent mutations for replicative fitness is unclear, we further screened the p100pop consensus sequence for synonymous changes and identified an additional 14 non-coding mutations (Fig. 1A; Table 1). Furthermore, it was noted that the inserted Gaussia luciferase reporter gene (Gluc) (12) was partially deleted during the adaptation process, leaving only the foot and mouth disease autoproteolytic peptide sequence (2A) (8), which is subsequently referred to as peptide sequence (PS).
Fig 1.
p100pop exhibits enhanced replication fitness in various human liver cell lines. (A) Schematic illustration of the genome organization of the parental virus Jc1FLAG(p7-nsGLuc2A) of p100pop and the Jc1 variants used in this study. Gray dots indicate number and approximate position of noncoding mutations. Light blue dots display coding mutations. The purple triangle reflects the approximate position of the J6/JFH1 junction within the intragenotypic Jc1 chimera. This illustration was generated using BioRender.com. (B) Frequency of adaptive coding mutations detected in the consensus sequence of p100pop. (C) Huh-7 cells were infected with 500 HCV genome equivalents (GE)/cell of different Jc1 variants. (D) Huh-7.5 cells were infected with 10 HCV GE/cell of Jc1-PS and p100pop. (E) Huh-7 cells were infected with 100 HCV GE/cell of Jc1-PS and p100pop. (F) HuH6 cells expressing hCLDN1 were infected with 1,000 HCV GE/cell of Jc1-PS and p100pop. (G) HepG2 cells expressing a HAHA-tagged version of hCD81 were infected with 1,100 HCV GE/cell of Jc1-PS and p100pop. (H) Huh-7.5 miR-122 knockout cells were infected with 140 HCV GE/cell of Jc1 and p100pop. (C–H) After a medium change at 4 h.p.i., cell culture supernatant was collected at 72 h.p.i. and used to determine viral particle production using a limiting dilution assay. Means and individual values of (C–F, H) n = 3 and (G) n = 4 biological independent experiments are shown. Statistical significance was calculated using two-tailed, unpaired t test with significance levels of P < 0.05 = *, P < 0.01 = **, P < 0.001 = ***, P < 0.0001 = ****. TCID50, 50% tissue culture infectious dose. Dashed lines represent the limit of detection (LOD) of the limiting dilutions assay.
TABLE 1.
Nucleotide and amino acid changes in the consensus sequence of p100pop compared to the reference sequencea
| HCV coding region | Nucleotide position reference Jc1-PSa | Nucleotide position Jc1-PS (−36 nt FLAG and 60 nt PS)b |
Allele reference Jc1-PS |
Allele P100pop | aa changea | aa change (−12 aa FLAG and 20 aa PS)b |
|---|---|---|---|---|---|---|
| 5’UTR | 28 | 28 | G | A | c | c |
| 5’UTR | 301 | 301 | T | C | c | c |
| Core | 383 | 383 | A | T | T15S | T15S |
| Core | 572 | 572 | A | G | K78Ed | K78E |
| Core | 727 | 727 | C | T | G129Gc | G129Gc |
| Core | 859 | 859 | C | T | S173Sc | S173Sc |
| E2 | 1535 | 1499 | A | G | T399A | T387A |
| E2 | 1625 | 1589 | A | G | N429D | N417D |
| P7 | 2675 | 2639 | A | G | N779D | N767D |
| Peptide sequence | 2859 | T | C | V840Ad | ||
| NS2 | 2926 | 2830 | C | T | I862Ic | I830Ic |
| NS2 | 2957 | 2861 | A | G | T873Ad | T841A |
| NS2 | 3097 | 3001 | T | C | G919Gc | G887Gc |
| NS2 | 3110 | 3014 | A | C | I924L | I892L |
| NS2 | 3136 | 3040 | T | G | L932Lc | L900Lc |
| NS3 | 4554 | 4558 | G | A | R1405Q | R1373Q |
| NS3 | 5038 | 4942 | C | T | L1566Lc | L1534Lc |
| NS3 | 5379 | 5283 | A | T | Y1680F | Y1648F |
| NS4A | 5464 | 5368 | A | G | A1708Ac | A1676Ac |
| NS5A | 7256 | 7160 | T | C | C2306R | C2274R |
| NS5A | 7549 | 7453 | A | G | E2403Ec | E2371Ec |
| NS5A | 7754 | 7658 | G | A | V2472Md | V2440M |
| NS5B | 8359 | 8263 | A | G | Q2673Qc | Q2641Qc |
| NS5B | 8406 | 8310 | T | C | M2689Mc | M2657T |
| NS5B | 8938 | 8842 | C | T | L2866Lc | L2834Lc |
| NS5B | 9058 | 8962 | T | A | I2909Ic | I2874Ic |
| NS5B | 9110 | 9014 | T | G | S2924Ad | S2892A |
| NS5B | 9373 | 9373 | T | C | T3011Tc | T2979Tc |
Nucleotide (nt) and amino acid (aa) positions are given in accordance to the coordinates of the infectious clone Jc1-PS (accession number OQ726017).
Nt and aa positions are given in accordance to the coordinates of the infectious clone Jc1-SP with the artificial sequences in the calculation excluded.
Unpublished noncoding mutations identified by NGS.
Long-term adaptation of HCV broadened the cell culture tropism of HCV
In line with previous reports (13), we could show that the presence of the Gluc results in a significant reduction in viral infectivity which is likely the reason why it is lost during the selection process (Fig. 1C). Based on these observations, we generated a control virus, Jc1-PS, with an identical genome organization to p100pop, containing both the FLAG epitope and PS (Fig. 1A). Interestingly, comparison of viral production rates upon infection of Huh-7 cells between Jc1-PS and unmodified Jc1 revealed a significant increase in viral particle release for Jc1-PS at 72 h post-infection (h.p.i.) (Fig. 1C). Irrespective of this finding, we still detected a significant increase in viral progeny production for p100pop compared to Jc1-PS in Huh-7.5 and Huh-7 cells at 72 h.p.i. (Fig. 1D and E). We further investigated the ability of p100pop to replicate in the human liver cell lines HuH6 and HepG2, originating from two different patients diagnosed with hepatoblastoma (14, 15). Both cell lines are not susceptible to HCV genotype 2a infection unless they ectopically express the human HCV entry factors claudin-1 (hCLDN1) (16, 17) and cluster of differentiation 81 (CD81) (hCD81) (18), respectively. Despite this, permissiveness of these cells for Jc1-PS infection remained low, resulting in infectious particle release below or slightly above the detection limit of the limiting dilution assay (Fig. 1F and G). In contrast, p100pop produced significantly more infectious HCV particles with a titer of around 2.3 × 103 TCID50/mL from HuH6 hCLDN1 and 1.7 × 102 TCID50/mL from HepG2 hCD81 cells. Whereas the detailed molecular mechanism for limited permissiveness of HuH6 cells is not completely understood, in HepG2 cells, this can be attributed to low endogenous expression of the indispensable host factor micro-RNA 122 (miR-122) (19). Besides prevention of viral genome degradation by protection of the triphosphate moiety at the 5′ end (20–22), miR-122 also functions similarly to a chaperon by changing the conformation of the stem-loops I–VI in the 5′-untranslated region (UTR) of the viral genome and thereby regulates viral replication and translation (23, 24). To explore whether long-term adaptation modulated the dependence of HCV on miR-122, we measured infectious particle release of Jc1 and p100pop in Huh-7.5 cells deficient for miR-122 expression (25) at 72 h.p.i. (Fig. 1H). Confirming our hypothesis, we detected a significant increase in p100pop release from these cells, leading to a virus titer of 3 × 105 TCID50/mL in the absence of miR-122 expression, which was not observed with Jc1. In summary, these data demonstrate that long-term adaptation resulted in a host cell-independent increase in replicative fitness of HCV in cell culture, likely partially conferred by a change in miR-122 dependence.
An infectious consensus clone largely reflects the phenotype of a cell culture-adapted HCV population
Phenotypic changes of p100pop correlated with the presence of multiple coding and noncoding mutations in the consensus genome sequence of the virus population (8, 11). To identify the minimal necessary mutations conferring increased replicative fitness, we generated different infectious p100 consensus clones based on the sequencing data. Here, we focused on the role of coding and noncoding mutations in increased replicative fitness and therefore generated consensus clones harboring either coding (p100NGS_coding) or noncoding mutations (p100NGS_noncoding) alone or a combination of both (p100NGS_all). To investigate the role of adaptive mutations, we excluded the FLAG epitope and the PS from the genome consensus sequence as we previously observed an increase in replicative fitness upon the presence of these artificially introduced sequences (Fig. 1C). This allowed for the use of unmodified Jc1 as a control in the following experiments. Whereas amounts of intracellular viral RNA and progenitor virus remained unchanged for the virus containing noncoding mutations only, we detected a significant increase in replicative fitness upon the presence of coding mutations alone or in combination with noncoding mutations (Fig. 2A and B). As differences in replicative fitness between p100NGS_coding and p100NGS_all were minimal, we concluded that adaptive coding mutations are the main driver of enhanced replicative fitness and noncoding mutations contribute only to a minor extent.
Fig 2.
Adaptive coding mutations are indispensable for enhanced replication fitness. (A and B) Huh-7 cells were infected at a MOI of 500 HCV GE/per cell with the indicated molecular clones. Replication fitness was analyzed by (A) RT-qPCR for intracellular viral RNA in total cellular RNA and (B) by virus titer determination of cell culture supernatant at the indicated time points. Statistical significance was calculated using two-way ANOVA with Dunnett’s multiple comparisons test with single pooled variance and significance levels of P < 0.05 = *, P < 0.01 = **, P < 0.001 = ***, P < 0.0001 = ****. (C and D) Huh-7.5 and Huh-7.5 miR-122 deficient cells were infected with 140 HCV GE/cell of the indicated p100 consensus virus variants. At 72 h.p.i., cell culture supernatant and total cell lysates were collected and analyzed for (C) intracellular viral RNA and (D) released infectivity determined by a limiting dilution assay. Numbers indicate the fold-difference of samples collected from Huh-7.5 miR-122 deficient cells compared to samples from the parental cell line. (E and F) Huh-7 cells were infected with 340 HCV GE/cell of p100pop or p100 consensus virus harboring adaptive coding mutation without (p100NGS_coding) or with (p100NGS_coding_FLAG_PS) additional FLAG epitope and PS. Viral fitness was assessed by (E) RT-qPCR for intracellular viral RNA and (F) virus titer determination from cell lysates and cell culture supernatant collected at indicated time points. Numbers indicate fold-difference in viral fitness. Means and individual values in this figure are displayed for n = 3–4 experiments. Dashed lines represent the LOD of the performed limiting dilution assays.
As we observed that long-term adaptation modulated viral dependence on the host factor miR-122, we further investigated the replicative fitness of the different consensus clones in Huh-7.5 miR-122 deficient cells. We detected a more than 900-fold difference in intracellular viral RNA and a more than 2,000-fold difference in viral particle release for p100NGS_coding between Huh-7.5 and Huh-7.5 miR-122 deficient cells (Fig. 2C and D). On the contrary, the p100 clone harboring only noncoding mutations replicates at much higher levels in the absence of miR-122 expression, reducing the difference only to 8- and 11-fold in intracellular viral RNA and extracellular progenitor virus detected at 72 h.p.i, respectively. These results highlight, that even though noncoding mutations contribute only to a minor extent in cells with abundant miR-122, they are responsible for the observed change in miR-122 usage. Interestingly, combining adaptive coding and noncoding mutations further increases the replicative fitness of the p100 clone in the absence of miR-122 expression, leading to amounts of intracellular viral RNA and released infectivity around 10-fold higher than determined for the clone harboring only noncoding mutations (Fig. 2C and D). Taken together, these observations confirm that adaptive coding mutations are essential for the enhanced replicative fitness of p100pop.
Although the presence of adaptive coding mutations significantly increases replication and infectious particle production of the consensus clone, combining with noncoding mutations does not result in a fitness level comparable to the original virus population (Fig. 2A and B). Apart from the missing polyclonal property in the p100 consensus clones, these clones differ in their viral genome structure by the absence of the FLAG epitope and the PS. As we observed a fitness-enhancing effect induced by these artificial sequences (Fig. 1C), we next explored to what extent the replication fitness of the p100NGS_coding clone can be improved by the presence of the FLAG epitope between E1 and E2, as well as the PS at the N-terminus of NS2. Therefore, we cloned these sequences into the viral genome of the p100 clone (p100NGS_coding_FLAG_PS) and measured levels of intracellular viral RNA and extracellular progenitor virus in comparison to p100pop and the parental p100NGS_coding clone upon infection of Huh-7 cells. In line with our previous observations, we detected an increase of up to 1.7-fold in intracellular viral RNA and up to 8.6-fold in infectious particles released to the cell culture supernatant for p100NGS_coding_FLAG_PS compared to the parental virus p100NGS_coding (Fig. 2E and F). However, viral replication and particle production of p100pop are still up to 10.2- and 8.6-fold higher than the newly generated clone. In summary, these results show that a molecular clone based on the consensus sequence of p100pop largely reflects the phenotype of the long-term cell culture-adapted HCV population.
Adaptive coding mutations increase virus spread
Based on the observation that coding mutations are largely responsible for the increase in replicative fitness, we hypothesized that selectively advantageous mutations result in an optimization of processes during a defined viral life cycle step. To link the contribution of the p100pop adaptive coding mutations to a distinct viral life cycle step, we generated chimeric constructs with portions of Jc1 and p100 viruses, focusing primarily on proteins involved in entry as well as virus particle assembly and egress (Core-NS2) or proteins involved in viral genome amplification (NS3-NS5B) (Fig. 3A). Neither intracellular viral RNA accumulation nor the amount of released infectious particles were affected by insertion of the p100 coding mutations in the replicase protein sequence of Jc1 (Fig. 3B and C). These data suggest that coding mutations in NS3 to NS5B do not affect processes of genome amplification and consequently release of infectious progeny. To confirm this hypothesis, we generated a p100 SGR including the six adaptive coding mutations located in the nonstructural proteins. RNA replication efficiency of the p100 SGR was assessed in correlation to the firefly luciferase (Fluc) reporter activity upon transfection into Huh-7 cells and compared to the parental JFH1 SGR and a replication incompetent replicon with a deletion in the active site of the viral polymerase (∆GDD). In line with the presented chimeric full-length virus data (Fig. 3B), transfection of the p100 SGR resulted in relative light unit (RLU) counts similar to the parental JFH1 SGR (Fig. 3D).
Fig 3.
Adaptive coding mutations synergistically improve virus fitness. (A) Schematic illustration of the genome organization of Jc1, p100NGS_coding, and the generated Jc1/p100 chimeras. Light blue dots indicate the approximate position of coding mutations present in the viral genomes. This illustration was generated using BioRender.com. (B and C) Huh-7 cells were infected with Jc1, p100NGS_coding, and two different Jc1/p100 chimeras with a MOI of 1,500 HCV GE/cell. Replication fitness was analyzed by (B) RT-qPCR for intracellular viral RNA in total cellular RNA and (C) by virus titer determination of cell culture supernatant, both collected at indicated time points. Means and individual values are displayed of n = 4 experiments. (D) In vitro transcribed RNA of the p100, JFH1, and a replication inefficient SGR were electroporated into Huh-7 cells. Replication was measured at indicated time points in correlation to Fluc activity of the containing reporter gene. Mean and individual relative light unit (RLU) counts from n = 6 experiments are displayed. (E, F, H) In vitro transcribed full-length RNA of Jc1, p100NGS_coding, and two different Jc1/p100 chimeric viruses were electroporated into Lunet N#3 cells. (E) Virus titers of cell culture supernatant collected at indicated time points were determined using a limiting dilution assay. Means and individual values are displayed of n = 3 experiments. (F and H) Lunet N#3 cells transfected with HCV RNA were mixed with naïve Lunet N#3 with and without hCD81 expression. Cells were fixed at 48 h post-electroporation (h.p.e) and stained for NS5A protein expression (black). Microscopic images were taken at 4× magnification and processed using FIJI and CellProfiler. (F) Representative images of whole 96 wells. (H) The number of nuclei per focus were counted automatically using CellProfiler. Only foci with ≥3 nuclei were included in the visualization. Both graphs display all analyzed foci of n = 3 experiments, with each individual dot representing one single focus. (G and I) Huh-7.5 cells were treated with serial dilutions of anti-CD81 or anti-SR-BI antibody for 1 h at 37°C, before cells were inoculated with the respective virus for additional 3 h. At 48 h.p.i., the cells were stained for HCV NS5A. HCV infection was normalized by calculating the ratio of the mean focus forming units (FFUs) per wells treated with the antibody to the mean number of FFU/well of untreated wells. Cells treated with the same concentrations of an isotype control antibody served as control and did not show inhibitory effects on HCV infection. The experiment was done with three technical replicates of treated and untreated cells per biological replicate. Means and ±standard deviations are shown for n = 3 experiments. (B–E) Statistical significance was calculated using ANOVA with Dunnett’s multiple comparisons test with single pooled variance, P < 0.05 = *, P < 0.01 = **, P < 0.001 = ***, P < 0.0001 = ****. (C and E) Dashed lines represent the LOD of the performed limiting dilution assays.
In contrast, replacement of the Core to NS2 sequences in the full-length chimeric virus resulted in a significant increase in intracellular viral RNA compared to the Jc1 control (Fig. 3B). Furthermore, a trend toward increased amounts of progenitor virus released to the cell culture supernatant was observed (Fig. 3C). To dissect the underlying molecular mechanisms in more detail, we transfected in vitro transcribed chimeric full-length virus RNA into Lunet N#3 cells, which are refractory to HCV infection due to low CD81 expression levels (26). In contrast to the significant differences in infectious titers detected for the p100/Jc1 chimera harboring adaptive mutations in Core to NS2 proteins upon infection of Huh-7 cells (Fig. 3C), the number of infectious particles released to the cell culture supernatant remained unaltered upon transfection of viral RNA into Lunet N#3 cells when compared to Jc1 (Fig. 3E). Losing the fitness-enhancing effects of adaptive mutations by transfection of viral RNA into cells with minimal CD81 expression suggests that Core-NS2 mutations enhance virus cell-to-cell spread, as a detectable CD81 expression is required for efficient cell-cell transmission (27). In order to explore the impact of adaptive mutations on cell-to-cell spread, we mixed HCV-transfected Lunet N#3 cells with naïve Lunet N#3 with or without hCD81 expression and analyzed cell-to-cell spread by immunofluorescence-based quantification of the size of the formed foci. Here, we observed not only an increase in the intensity of antigen staining but also an increased number of foci containing greater numbers of nuclei per focus for p100NGS_coding and for the chimeric virus with Core-NS2 mutations (Fig. 3F and H). As interaction of the viral glycoproteins with CD81 and scavenger receptor B-I (SR-BI) is of high importance not only during cell-to-cell transmission but also during cell-free entry (27), we further investigated the sensitivity of the two Jc1 variants as well as the p100 population and clone to CD81 and SR-BI receptor blockage by antibody treatment. Whereas p100pop and the molecular clone p100NGS_coding were sensitive to CD81 blockage in a manner comparable to Jc1, the modified Jc1 variant, which harbors a FLAG epitope linked to the N-terminus of E2, showed increased sensitivity (Fig. 3G). In contrast, the p100 population and clone showed, similar to Jc1-PS and in contrast to Jc1, lower dependency on the entry receptor SR-BI (Fig. 3I). Taken together, these data imply that adaptive mutations in the structural proteins facilitate virus spread likely due to altered dependence on the entry receptor SR-BI.
The p100NGS_coding clone produced increased amounts of infectious progeny virus compared to Jc1 upon transfection of in vitro transcribed RNA (Fig. 3E). As this was observable despite the lack of CD81-dependent cell-to-cell spread, our data further suggest that a combination of multiple mutations, located in structural and nonstructural proteins, cooperatively enhance viral particle assembly and release.
Adaptive coding mutations confer a change in cyclosporin A susceptibility
The presence of drug-resistant mutations in complex quasispecies of RNA viruses represents a major challenge for the antiviral treatment of viral diseases. Indeed, the error-prone replication of RNA viruses provides the basis of a large reservoir of phenotypically distinct but closely related viral genomes which include variants resistant to antiviral treatment without prior drug exposure (28). To investigate whether p100pop adaptive coding mutations confer resistance to antiviral compounds, we utilized JFH1 and p100 SGRs which both encode for the proteins targeted (in-)directly by the four antivirals telaprevir, daclatasvir, IFN-α, and cyclosporin A. We performed dose-response assays at 4 h.p.e. of SGR RNA into Huh-7 and evaluated antiviral activity on replication in correlation to the Fluc reporter activity at 48 h.p.e. Both SGRs were sensitive to treatment with telaprevir, daclatasvir or IFN-α to similar degrees (Fig. 4A to C). In contrast, the presence of the six adaptive coding mutations resulted in decreased susceptibility of the p100 SGR to cyclosporin A treatment (Fig. 4D). Thus, we conclude that long-term adaptation of HCV not only modulated viral dependence on miR-122 but additionally altered dependence of HCV on the essential host factor cyclophilin A, which is targeted by cyclosporin A.
Fig 4.
Presence of adaptive coding mutations in the p100 subgenomic replicon results in decreased susceptibility to cyclosporin A treatment. In vitro transcribed RNA of the JFH1 and p100 SGR was transfected into Huh-7 cells. At 4 h.p.e., serial dilutions of (A) telaprevir, (B) daclatasvir, (C) Intron A, or (D) cyclosporin A were applied. The impact of antiviral treatment on SGR replication was analyzed by measuring Fluc activity at 48 h.p.e. Replication is shown as percentage relative to solvent control-treated cells. Means ± standard deviations are plotted from (A–C) n = 3 and (D) n = 4 experiments. Note, the scale in abscissa and ordinate differs among each of the four panels.
HCV cell culture adaptation results in viral attenuation in primary human hepatocytes
Since p100pop exhibits enhanced viral propagation rates in several human hepatoma cell lines (Fig. 1), we lastly aimed to investigate its replication fitness in primary human hepatocytes (PHHs). A trend toward an increased amount of intracellular viral RNA was detectable for p100pop compared to Jc1-PS at 4 and 24 h.p.i. (Fig. 5A). This correlated with a reduced amount (~1 log) of infectious viral particles released into the cell culture supernatant at 48 and 72 h.p.i. when compared to Jc1-PS (Fig. 5B). In contrast to Huh-7-derived cell lines, PHHs possess intact innate immunity (10, 29). Thus, we hypothesized that elevated amounts of p100pop RNA at early time points induce a greater innate immune response in PHHs when compared to Jc1-PS. As a consequence of this more pronounced activation of the innate immunity, virion secretion at later time points is likely restricted. To confirm this hypothesis, we next explored the replication fitness of p100pop in PHH that were (pre-) treated with the JAK/STAT inhibitor ruxolitinib. Whereas the amount of intracellular p100pop RNA was at early time points comparable to the amount measured in untreated PHHs (Fig. 5C), ruxolitinib treatment rescued p100pop particle production rates at 48 and 72 h.p.i. to a level comparable to Jc1-PS (Fig. 5D). These results indicate that cell culture adaptation of HCV results in an attenuated phenotype in PHHs ex vivo, likely conferred by a greater induction of the innate immunity.
Fig 5.
Reduced p100pop particle production of in primary human hepatocytes can be rescued by treatment with the JAK inhibitor ruxolitinib. PHHs from three different donors were incubated (A and B) without or (C and D) with 10 µM ruxolitinib (rux) pretreatment. After 16 h of pretreatment, PHHs were inoculated with 100 HCV GE/cell of Jc1-PS or p100pop. At 4 h.p.i., a medium change, including a re-administration of ruxolitinib for pretreated cells, was performed before replication fitness was assessed by (A and C) RT-qPCR for intracellular HCV GE from total cell lysates and (B and D) a limiting dilution assay using cell culture supernatant, both collected at the indicated time points. Means and individual values of infection of three different donors are shown. No statistical significance (P < 0.05) was determined using two-way ANOVA with Sidak’s multiple comparisons test with single pooled variance. (B and D) Dashed lines represent the LOD of the limiting dilution assay.
Cell culture adaptation results in enhanced innate immune induction in primary human hepatocytes
To explore the molecular mechanisms underlying differences in p100pop fitness between in vitro and ex vivo cell culture systems, we performed global RNA sequencing (RNA-seq) of infected cells. For this, we inoculated Huh-7 and PHHs with equal amounts of Jc1-PS or p100pop, using conditioned medium (CM) collected from naïve cells as an uninfected control. Total RNA was extracted 28 h post-inoculation (24 h.p.i.) and subjected to RT-qPCR to monitor HCV infection levels. Consistent with previous experiments (Fig. 1E and 5A), we detected elevated amounts of intracellular p100pop HCV RNA in infected Huh-7 cells and PHHs, when compared to Jc1-PS (Fig. 6A and B). To determine host cell responses to infection with Jc1-PS or p100pop, global transcriptomic analyses were then performed on infected- and conditioned media-treated cells at 24 h.p.i. Statistical analyses of host-cell gene dysregulation identified differentially expressed genes (DEGs) induced upon Jc1-PS and p100pop infection of both Huh-7 (Fig. 6C) and PHH (Fig. 6D). However, in Huh-7 cells, the percentage of DEGs (FDR P value < 0.05) with a Log2 fold change (L2FC) >1 remains with 0.2–0.4 % similar between all tested comparisons (Fig. 6C), the same category of DEGs includes more than 5% of the analyzed genes in p100pop-infected PHHs and only 2% in the Jc1-PS-infected PHHs versus CM treatment comparison (Fig. 6D). Interestingly, comparisons of p100pop infection to Jc1-PS in PHHs identified only six DEGs with an L2FC > 1.
Fig 6.
HCV cell culture adaptation results in modulation of host transcriptional responses. (A) Huh-7 and (B) PHH were infected with Jc1-PS or p100pop (MOI 1 TCID50/mL per cell) or incubated with conditioned medium (CM) as an uninfected control. Total RNA was extracted at 24 h.p.i. and used to determine intracellular HCV RNA using RT-qPCR. Statistical significance was calculated using two-tailed, unpaired t test, P < 0.05 = *. (C and D) Volcano plots visualize DEGs induced in infected cells compared to uninfected cells, for Jc1-PS- and p100pop-infected Huh-7 cells (C) and PHH (D). (E) Dot plot visualizes GO enrichment analysis of virus-induced DEGs upon infection of Huh-7 cells (left) and PHH (right). (F) Dot plot visualizes KEGG pathway analysis of virus-induced DEGs upon infection of Huh-7 cells (left) and PHH (right). (G) Heat map visualizing dysregulation of genes (mean log2 FC) associated with the GO category “defense response to virus” upon infection of Huh-7 cells (top panel) or PHHs (bottom panel) with Jc1-PS or p100pop. (H and I) Heat maps visualizing mean log2 FC in gene expression relative to CM-treated cells for genes associated with the GO categories (H) “response to ER stress” and (I) “regulation of apoptotic processes” upon infection of Huh-7 cells with Jc1-PS or p100pop. (J) Comparison of the mean log2 FC of genes clustering in the GO category “defense response to virus” upon infection of PHHs. Statistical significance was calculated using two-tailed, paired t test, P < 0.001 = ***. (A–I) Data presented derived from infection n = 3 biological replicates. FC, fold change. N.s., not significant.
Infection-induced transcriptional dysregulation modulates a range of cell-intrinsic processes and canonical signaling pathways. To investigate these in more detail, we compared host biological processes targeted by the two viruses in both cell systems by performing gene ontology (GO) enrichment analyses and KEGG pathway analyses on infection-induced DEGs (Fig. 6E and F). GO categories associated with endoplasmic reticulum (ER) stress, regulation of apoptosis and cell death, as well as the unfolded protein response were significantly enriched upon infection of Huh-7 cells with p100pop, which was not seen in Jc1-PS-infected cells (Fig. 6E). In contrast, in PHH, enriched GO categories were generally associated with innate immune response, viral defense and IFN signaling, regardless of the infecting virus strain. Supporting our GO analyses, KEGG pathway analyses revealed that innate immune signaling pathways are significantly upregulated in PHHs, but not in Huh-7 cells upon virus infection (Fig. 6F). Indeed, visualization of gene expression changes for GO category 0051607 (defense response to virus) highlights pronounced differences in host reactivity to HCV infection between the two cell systems used in this study (Fig. 6G). Innate immunity signatures dominate in PHH but are completely absent in Huh-7 cells. To focus on differences between the two virus strains, we compared the strength of the changes in gene expression by comparing the fold expression changes of genes of the same category. Here, both viruses induce a comparable antiviral defense response upon infection of PHH (Fig. 6G); however, infection with p100pop results in a significantly increased induction compared to infection with Jc1-PS (Fig. 6J). These data support our hypothesis that p100pop attenuation in PHHs results from stronger innate immune responses exerted by the host cells, proportional to the observed increased viral replication.
Additionally, we compared the expression of genes from the GO categories 0034976 (response to ER stress) and 0042981 (regulation of apoptotic process) upon infection of Huh-7 cells. Although minimal dysregulation was detectable upon Jc1-PS infection, significant upregulation of the genes involved in regulating processes during ER stress and apoptosis was observed upon p100pop infection (Fig. 6H and I). Thus, our RNA-seq data indicate that infection with p100pop results in a strong and early induction of ER stress in Huh-7 cells, which may contribute to the observed enhanced replication fitness.
DISCUSSION
The complex molecular mechanisms by which viruses establish persistence are still under investigation but are tightly linked to the natural selection of viral genomes with enhanced virus fitness. In this study, we investigated molecular determinants, which confer elevated fitness to a cell culture-adapted HCV in order to identify principles by which HCV optimizes its replicative fitness in vitro.
Long-term passaging of the HCV strain Jc1FLAG(p7-nsGluc2A) resulted in increased viral fitness of the virus population p100pop in Huh-7, Huh-7.5, and Lunet cells compared to its parental virus (9). In line with these observations, we could show that p100pop exhibits increased infectious viral particle release not only in Huh-7-derived cell lines (Fig. 1D and E), but also in the hepatoma cell lines HuH6 and HepG2 (Fig. 1F and G). HepG2 cells only weakly support HCV replication due to a lack of miR-122 expression (19). Although HCV adaptation was performed in the Huh-7.5 cell line that expresses high levels of miR-122 (30), infection with p100pop results in a robust release of infectious viral particles not only from HepG2 cells but also Huh-7.5 cells deficient for miR-122 expression (Fig. 1G and H). The ability to replicate in the absence of miR-122 expression correlates with the presence of the mutation G28A in the 5′ UTR of the p100pop consensus sequence (Table 1). The 5′ UTR of the HCV genome contains crucial structural elements (stem-loops I–IV) which play important roles in directing viral replication (stem-loops I and II) (31), as well as viral translation by forming a functional IRES (stem-loops II–IV together with stem-loops V and VI located in the coding region of the core gene) upon interaction with a complex of miR-122/Ago2 (32–35). Although the 5′ UTR is highly conserved among different HCV isolates (36), a few key mutations like G28A within the IRES were found in miR-122 inhibitor-administered patients and cell culture-based resistance studies (25, 30, 37, 38). In vitro studies revealed that these mutations influence viral dependence on miR-122 by different mechanisms with all having in common to alter the long-distance pairing of the viral RNA within the 5′ UTR (23, 24, 39). It was shown that a change from guanine to adenine at position 28, which is the single nucleotide between two miR-122 seed-binding sites in the 5′ UTR, leads to folding of the functional HCV IRES in the absence of miR-122/Ago2 binding, which consequently allows virus translation and replication in absence of miR-122 expression (23–25, 39). Consequently, our data imply that the host cell line-independent increase in replicative fitness is likely due to changes in host factor usage, as shown for the miR-122.
Interestingly, infection of PHH resulted in a moderate attenuation of p100pop infectious particle release (Fig. 5B). This observation correlated with a stronger induction of an antiviral defense response compared to the non-adapted virus (Fig. 6J). In contrast, activation of the innate immune response was not detectable in infected Huh-7 cells, regardless of which viral variant was used (Fig. 6E through G). Consequently, our data highlight that the restriction of HCV infection in PHH, in contrast to Huh-7 cells, is conferred by an early induction of antiviral gene expression. In line with this, transcriptomic analyses of Tegtmeyer et al. recently showed that the transcriptional landscape of HCV-infected PHH is dominated by induction of antiviral interferon-regulated gene expression, which was not observable in Huh-7.5 cells (29). Building on this observation, treating PHH prior to and during HCV infection with the JAK/STAT signaling pathway inhibitor ruxolitinib led to higher levels of HCV infection at late time points for both viruses (Fig. 5C and D). However, the numbers of p100pop infectious particles detected in the supernatant remained comparable to Jc1-PS. Other reports provide evidence that elevated basal expression of IRF1 confers early antiviral responses of PHHs by mediating higher basal expression levels of IRF3 activators and interferon-regulated genes independent of IFN signaling (29, 40, 41). In accordance with this, we detected higher expression values of IRF1 in our PHH data set than in the Huh-7 data set (data not shown). Furthermore, a very recent publication revealed a so far uncharacterized antiviral function by PKR, which blocks infectious particle assembly by activating IRF1 (42). Based on the observation that infection with the long-term cell culture-adapted HCV results in enhanced phosphorylation of PKR (9), we propose that attenuation of p100pop viral particle formation is conferred not only by IFN-dependent effector protein expression but also by increased IRF1 activation in PHHs.
Furthermore, we detected a difference in the host cellular response upon infection of Huh-7 cells with p100pop compared to Jc1-PS. A recent study by García-Crespo et al. already highlighted that viral fitness is an important determinant when it comes to dysregulation of host gene expression upon HCV infection as the underlying occurrence and intensity of epigenetic alterations is tightly dependent on the fitness of the virus (43). These fitness-dependent epigenetic signatures can lead to unique host cell responses which highly influence the selection pressure the virus is exposed to. In this study, mainly DEGs clustering in pathways associated with ER stress signaling and unfolded protein response were modulated by p100pop (Fig. 6E). The virus-induced stress response results in halt of host protein translation due to elevated levels of phosphorylated eIF2α (44), which was previously described to be enhanced upon p100pop infection (9). Inhibition of antiviral effector protein synthesis as well as stress granules formation was described to favor HCV infection (45–47). Additionally, ER stress induces autophagy which leads to formation of autophagosomes. Previous publications provide evidence that HCV replication can take place on membranes of these vesicles and that essential autophagy-related proteins are hijacked by HCV for its own replication and translation (48–52). In line with this, we detected an enhanced upregulation of DDIT3 and SESN2 upon p100pop infection of Huh-7 cells (Fig. 6H), which were previously described to induce autophagy (53–55). These results suggest that early induction of the ER stress response is not only a consequence of enhanced fitness but may possibly also contribute to it.
In order to dissect the molecular mechanisms underlying the enhanced fitness in more detail, we generated different molecular p100 clones, harboring either all adaptive noncoding or coding mutations identified in the p100pop consensus sequence alone or in combination. Replication kinetics experiments revealed that coding mutations are the minimal necessary mutations conferring enhanced replication fitness (Fig. 2A and B). However, replication fitness of the molecular clones p100NGS_coding and p100NGS_all does not reach fitness levels comparable to the virus population. One additional difference from the polyclonal property is the removal of artificial sequences present in the viral genomes of the quasispecies. Interestingly, we observed that, in contrast to the insertion of the full Gluc reporter, insertion of the FLAG epitope and the PS into the Jc1 backbone resulted in an increase of detected infectivity in the cell culture fluid (Fig. 1C). Additionally, insertion of the FLAG epitope and PS into the p100NGS_coding clone resulted in an increased amount of intracellular viral RNA as well as infectious progenitor virus detected in the cell culture supernatant (Fig. 2E and F). Therefore, we hypothesize that the linking of the FLAG epitope to the N-terminus of E2 leads to conformational changes, which alter receptor dependence as documented by enhanced sensitivity of the FLAG-tagged Jc1 to a CD81-targeting antibody and more resistance of the same virus to an antibody against SR-BI (Fig. 3G and I).
However, it is important to note that the impact of the artificial sequences is more pronounced on the amount of infectious virus particles detected in the cell culture fluid than intracellular viral RNA (Fig. 2E and F). Apart from the FLAG epitope, also the PS could possibly contribute to enhanced virus fitness. In contrast to the unmodified Jc1, where the junction site between p7 and NS2 is cleaved by the signal peptidase, NS2 is released by auto cleavage upon the presence of the PS. Consequently, differences in cleavage kinetics can affect downstream processes that further influence virus fitness as it was shown for the mutation V2440L and V2440A in NS5A, affecting NS5A-NS5B cleavage kinetics and fitness of HCV variants (56, 57). Notably, NGS revealed the presence of a single coding mutation located in the PS consensus sequence of p100pop (Fig. 1A) which was not investigated but could contribute to enhanced fitness of p100pop as well. However, even in the presence of adaptive coding mutations and the FLAG epitope and the PS, the molecular p100 clone still exhibits a lower fitness than the complete virus population (Fig. 2E and F). Since the frequencies of the adaptive coding mutations vary within the viral population (Fig. 1B), it is possible that the consensus sequence differs from the master sequence, which is the dominant sequence built by the most fit viral variants within the quasispecies (58), and therefore only partially reflects the phenotypic changes gained during long-term cell culture adaptation. Furthermore, the complementation of nonfunctional proteins by functional proteins encoded by another genome present within the quasispecies has been previously described for other RNA viruses (58–60) and is therefore an additional explanation to be considered for the lower fitness of the molecular clone.
To directly examine the mechanism(s) of adaptation, we used the molecular clone p100NGS_coding and explored on which life cycle step adaptive coding mutations identified in the consensus sequence confer fitness-enhancing effects. For this, we generated chimeric viruses harboring either structural proteins, p7 and NS2 (C-NS2), or only nonstructural proteins (NS3-NS5B) of the p100NGS_clone (Fig. 3A). With this approach, we aimed to distinguish between fitness-enhancing effects targeting viral replication, or processes during virus entry and virus particle assembly and egress. We observed fitness levels comparable to Jc1 for the chimeric virus harboring the replicase complex from the p100 clone (Fig. 3B and C). This was unexpected as this chimera includes a previously described titer-enhancing mutation in NS5A, C2274R (61, 62). However, we also identified V2440M in NS5A as a second adaptive mutation in NS5A. As mentioned earlier, position V2440 is tightly linked to the fitness of viral variants. Whereas a valine-to-leucin exchange resulted in a fitness increase, an alanine at the same position strongly impaired viral fitness (56, 57). The impact of V2440M on virus fitness remains to be explored, but it is possible that C2274R became fixed in order to compensate for deleterious effects of V2440M to reach wild-type fitness levels. Unchanged levels of intracellular viral RNA, together with p100 SGR replication comparable to the JFH1 SGR (Fig. 3D), indicate further that adaptive mutations in the nonstructural proteins do not influence efficiency of viral genome amplification or likely also not the formation of replication organelles. This is in consent with previously published literature: Replication-enhancing mutations often alter phosphorylation levels of NS5A (63, 64), which confers an imbalance between viral genome amplification and production of progenitor virus (65–67) and are therefore unlikely to be selected. We observed a significant increase in intracellular viral RNA and progenitor virus release upon mutating mainly structural proteins (Fig. 3B and C). Transfection of in vitro transcribed RNA of this clone into Lunet N#3 cells resulted in virus particle release comparable to Jc1 (Fig. 3E). Lunet N#3 cells express only low levels of CD81 and are therefore refractory to cell-free HCV infection (26) and likely allow also only low levels of cell-to-cell spread as seen for CD81-negative HepG2 cells (68). Based on this, our observations in Fig. 3E hint toward a role of adaptive Core-NS2 mutations in enhanced virus spread. This hypothesis is further promoted by the detection of an increased size in viral foci for the chimeric virus p100(C-NS2)/Jc1(NS3-NS5B) (Fig. 3F). Virus spread via direct cell-to-cell transmission remains unaffected by the presence of neutralizing antibodies and therefore plays an important role in the establishment of persistent infection (68). Glycosylation of the viral envelope is another key mechanism of HCV to evade neutralizing antibodies during cell-free transmission (69). Here, N417 is an important glycosylation site in the glycoprotein E2, shielding the virus from neutralizing antibodies (70). Mutational changes at amino acid position 417 are often found in viruses adapted to cell culture due to the absence of selection pressure exerted by neutralizing antibodies (71, 72). Increased exposure of neutralizing epitopes was previously reported to correlate with an increase in viral fitness likely due to increased accessibility of the CD81 binding site (72). However, neither p100pop nor the p100 molecular clone, both harboring an adaptive coding mutation at position 417 (Table 1), showed an altered sensitivity to blocking of the HCV receptor CD81 compared to Jc1 (Fig. 3G). In contrast, both viruses exhibited low sensitivity to pretreatment with an anti-SR-BI antibody (Fig. 3I), leading to the hypothesis that increased virus spread of these viruses is conferred by decreased SR-BI dependency.
Our data further indicate that multiple mutations cooperatively contribute to the enhanced fitness of the molecular clone p100NGS_coding since the combination of all mutations in this molecular clone resulted in the most pronounced change in replicative fitness (Fig. 3B, C and E). The increased accumulation of infectivity (Fig. 3C and D) can be explained by multiple hypotheses: Even though a more vigorous accumulation of intracellular RNA was detected, our SGR data (Fig. 3D) suggest that it is unlikely that the more rapid accumulation of viral RNA permits production and accumulation of a greater quantity of infectivity. It is thus tempting to speculate that processes of viral particle assembly or release are likely to be more efficient by the presence of adaptive mutations. HCV viral particle assembly is complex and mechanistic details remain elusive. However, they very likely assemble in close proximity to lipid droplets (73). A cell culture adaptive mutation in p7 of JFH1, C766Y, which is adjacent to our identified mutation N767D, was shown to increase the size of lipid droplets and thereby likely contributes to enhanced fitness of the analyzed cell culture-adapted virus (74). A similar mutational change from asparagine to aspartic acid was found at position 765 in p7 of an adapted JFH1-based virus, which also correlated with enhanced virus progenitor release (57). Although we did not further analyze the role of N767D in enhanced virus fitness, it is possible that mutations at this position modulate lipid droplet morphogenesis and thereby provide an improved platform for interactions of viral proteins involved in viral particle formation. Interaction of p7 and NS2 is also essential for virus particle assembly, as both together coordinate the shuttling of E1E2 heterodimers as well as HCV Core to the site of virus assembly (75–77). In cell culture-adapted intra- and intergenotypic HCV chimeras, mutations in p7 and NS2 are frequently found and likely compensate for incompatibilities between those proteins, resulting in enhanced viral particle production (75, 78). Further, it is known that NS5A and Core colocalize at lipid droplets as an intermediate step (79, 80), with NS5A likely transporting newly generated genomic RNA to the site of assembly for nucleocapsid formation. The adaptive coding mutation T15S is located in the RNA-binding domain of Core (81) and could therefore be important for the transfer of nascent genomic RNA from NS5A to Core. Overall, our observations together with previously published work highlight that optimization of the complex interactions of viral proteins during the assembly process is one key determinant of enhanced fitness of cell culture-adapted HCV.
Finally, we analyzed the role of adaptive coding mutations in the broad antiviral resistance of p100pop (9). For this, we analyzed the sensitivity of the p100 SGR to different classes of anti-HCV treatment. Interestingly, we observed that the six adaptive coding mutations confer a partial resistance against the inhibition of cyclophilins, but not against the other tested antivirals (Fig. 4). Results reported by Sheldon et al. showed that biological clones of the population, obtained by limiting dilution, exhibit a replication fitness and telaprevir resistance similar to the parental population (9). In contrast, the p100 SGR exhibits neither an increased replication fitness (Fig. 3D) nor resistance against telaprevir, daclatasvir, and IFN treatment (Fig. 4A through C). Thus, our and their results suggest that HCV cross-resistance against different classes of antiviral treatment is conferred by a general increase in viral fitness, being sufficient for viral adaptation to selection pressure exerted by antiviral treatment, and not by an accumulation of resistance-associated mutations during the extended time of infection.
In contrast, the presence of adaptive coding mutations in NS3-NS5B resulted in a partial resistance against cyclosporin A treatment (Fig. 4D). The main target of cyclosporin A is cyclophilin A (CypA), which is an important co-factor for HCV infection (82). Interaction of NS5A with CypA via its isomerase active site promotes RNA-binding properties of NS5A and thereby the formation of the replication complex with NS5B (83–86). Interaction of CypA with NS5B in a ternary complex with NS5A further regulates genome amplification (87). Additionally, formation of replication organelles was shown to be abrogated by cyclophilin inhibition (88–90). Mutations at position 2440 in NS5A (V2440L/A) were not only associated with virus fitness in general (see above) but also with partial cyclosporin A resistance (56, 57). Interestingly, V2440L was detected at a low frequency within the quasispecies of the parental virus population and the population at 45 passages (9), before the exchange to methionine was fixed in the consensus sequence of p100pop with around 80% (Fig. 1B). If V2440M modulates virus fitness and cyclosporin A sensitivity by delayed processing of the NS5A-B junction, as previously proposed for V2440L and V2440A (56, 57), remains unclear. In addition, mutation C2274R is of high interest in regards to cyclosporin A resistance as it is located within the PKR binding domain of NS5A (91). Recent work suggests a regulatory function of CypA in complex with NS5A on PKR-dependent antiviral activity during HCV infection (90). Sheldon and colleagues further showed that enhanced replication fitness of p100pop correlated with increased phosphorylation of PKR (9), promoting our hypothesis that long-term adaptation resulted in an altered interaction between HCV and CypA and thereby possibly also influencing PKR activity. However, in-depth investigation of the mechanistic details is still required.
In summary, this work revealed multiple molecular determinants of enhanced replication fitness of a long-term cell culture-adapted HCV. It highlights that increased fitness of HCV is tightly linked to the optimization of the viral interaction with the host and its environment.
MATERIALS AND METHODS
Viruses and subgenomic replicons
The generation of the long-term passaged virus population p100pop was previously reported (8, 9). The infectious clones Jc1 (pFK-i389_JFH1/J6/C-846_dg) and Jc1FLAG(p7-nsGLuc2A) were previously described (12, 92). The Jc1-PS plasmid (accession number OQ726017) was generated by replacing the complete GLuc sequence with a gBlock fragment (IDT) containing the foot and mouth disease autoproteolytic peptide sequence (2A) from the p100pop consensus sequence using restriction enzymes NotI and BsaBI. The p100NGS_coding plasmid (accession number OQ726016), harboring adaptive coding mutations identified by sequencing (11, 93), was generated by site-directed mutagenesis and restriction-based cloning using the Jc1-PS plasmid as a vector backbone. Sequences of the molecular clones p100NGS_all (accession number OQ726014) and p100NGS_noncoding (accession number OQ726013) were designed using the p100pop consensus sequence (accession number KC595609.1) (11). The sequences were commercially synthesized and cloned into a pUC57 vector (GenScript). The plasmid p100NGS_coding_FLAG_PS (accession number OQ726015) was generated by transferring an insert, containing the E1-NS2 sequence of the p100pop consensus sequence which is flanked by the restriction sites BsiWI and NotI and includes only coding mutations, from a commercially synthesized pUC57 vector into the p100NGS_coding plasmid. The chimeric plasmid p100(C-NS2)/Jc1(NS3-NS5B) (accession number OQ726017) was cloned by digesting of p100NGS_coding plasmid DNA and pFK-i389_JFH1/J6/C-846_dg with the restriction enzymes EcoRV and AvrII. The Jc1(C-NS2)/p100(NS3-NS5B) plasmid (accession number OQ726019) was cloned by transferring inserts from pFK-i389_JFH1/J6/C-846_dg and Jc1-PS into the backbone p100NGS_coding using restriction enzymes BsiWI and AvrII as well as NcoI and BsiWI, respectively.
The JFH1 NS3-3′ UTR SGR (pFK_i389_F-Luc_EI_NS3-3_JFH1) is based on the previously published Con1 SGR plasmid vector (94) with an additional replacement of the neomycin resistance with a Fluc reporter gene. The replication incompetent JFH1 NS3-3′ UTR ΔGDD SGR (pFK_i389_F-Luc_EI_NS3-3_JFH1_deltaGDD) has a deletion of the GDD motif within the viral polymerase. The p100 NS3-3′ UTR SGR was generated by inserting a fragment from p100NGS_coding into pFK_i389_F-Luc_EI_NS3-3_JFH1 using the restriction enzymes MreI and BbvCI.
All sequences of newly generated plasmids were confirmed by Sanger sequencing (Microsynth AG). More detailed information about the cloning strategy is available upon request.
Cell culture
Immortalized human hepatoma cell lines Huh-7 (95), Huh-7.5 (96, 97), Huh-7.5 miR-122−/− (25), Hep-G2 hCD81, HuH6 hCLDN1 (16), and Lunet N#3 and Lunet N#3 hCD81 (26) were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Gibco, Thermo Fischer Scientific) supplemented with 1% MEM non-essential amino acids (Gibco, Thermo Fischer Scientific), and 100 U/mL penicillin, 100 µg/mL streptomycin (Gibco, Thermo Fischer Scientific), and 2 mM L-glutamine (Gibco, Thermo Fischer Scientific) designated as DMEM complete. For routine culture, DMEM was further complemented with 10% fetal calf serum (FCS) (Capricorn Scientific). Culture medium of Hep-G2 hCD81 and HuH6 hCLDN1 cells was additionally supplemented with 5 µg/mL blasticidine (Thermo Fischer Scientific). Additionally, Hep-G2 cells were cultured on collagen-coated plates [phosphate-buffered saline (PBS) containing 0.1% acetic acid and 0.01% collagen (Serva Electrophoresis GmbH)]. Culturing was performed at 37°C in 5% CO2. All cell lines were regularly tested by standardized PCR service (Eurofins) for mycoplasma contamination.
The Primary Human Hepatocyte Core Facility (Hannover Medical School) isolated and seeded PHHs from liver explant tissue as previously described (98). PHHs were maintained in HBM basal medium complemented with HCM SingleQuots (Lonza) and 100 U/mL penicillin, 100 µg/mL streptomycin (Gibco, Thermo Fischer Scientific). The experimental usage of PHHs is approved by the ethics commission of Hannover Medical School (vote no. 252-2008).
In vitro transcription
HCV full-length genome or subgenome containing plasmid DNA (10 µg) was linearized according to the restriction enzyme recognition sequence located at the 3′ end of the viral genome. Linearized plasmid was purified using Qiaprep Spin Miniprep Kit (Qiagen). For T7-based in vitro transcription, 100 µL containing 2 µg plasmid DNA in 60 µL H2O, 20 µL 5× RRL buffer (1 M HEPES, pH 7.5, 1 M MgCl2, 1 M Spermidine, and 1 M DTT in H2O), 12.5 µL rNTP solution (25 mM each rNTP), 100 U RNasin ribonuclease inhibitor (Promega), and 60 U T7 polymerase (Promega) were incubated at 37°C for 2 h. In vitro transcription was boosted by freshly adding 30 U T7 polymerase for further 2 h of incubation time. In vitro transcription reaction was terminated by addition of 7.5 U RQ1 Dnase (Promega) to the reaction mix and incubation for 30 min at 37°C. In vitro transcribed RNA was purified using the NucleoSpin RNA Clean-up kit (Macherey-Nagel). RNA concentration and purity were evaluated using the NanoDrop One (Thermo Scientific). Quality of the in vitro transcripts was checked by agarose gel electrophoresis.
HCVcc production
For HCVcc production, 6 × 106 Huh-7.5 cells in 400 µL Cytomix (120 mM KCl, 0.15 CaCl2, 10 mM KHP04, 25 mM HEPES, 2 mM EGTA, 5 mM MgCl2, 2 mM ATP, and 5 mM glutathione) were electroporated (270 V, 975 µF, and cuvette gap width 0.4 cm) with 10 µg of in vitro transcribed HCV full-length RNA using the Gene Pulser Xcell system (BioRad). Cells of two electroporations were combined in 20 mL of DMEM complete and seeded into one 15-cm dish. On the next day, medium was exchanged to DMEM complete containing 2% FCS, before cell culture supernatant was collected, filtered (0.45 µm) at 48, 72, and 96 h.p.e. Pooled, filtered cell culture supernatant containing infectious HCV was concentrated 50× using 100 kDa Amicon Ultra-15 centrifugal filter units (Merck Millipore) as recommended by the manufacturer. To prepare comparable virus stocks of the infectious clones and population, a 15-cm dish of naïve Huh-7.5 cells was infected using the concentrated virus stock and maintained for 3 days. After a second round of infection by passaging the infectious cell culture supernatant from the 15-cm dish of infected Huh-7.5 cells on four 15-cm dishes of fresh Huh-7.5 cells, medium was exchanged to DMEM complete supplemented with 2% FCS at 24 h post-infection. Starting from 48 h post-infection, cell culture supernatant was again collected, filtered, and pooled every 24 h. The resulting virus stock was concentrated 25× as described earlier. The resulting highly infectious master HCV stocks were characterized by calculating the tissue culture infectious dose 50 per mL (TCID50/mL) upon infection of Huh-7.5 cells and measuring the containing genome equivalents (GE) per mL by an HCV-specific RT-qPCR.
HCV infection assays
Huh-7 and its derivatives were seeded at a density of 5 × 104 per well of a 24-well plate at a minimum of 16 h prior to inoculation. For HuH6 hCLDN1 and Hep-G2 hCD81 cell lines, a density of 1 × 105 and 1.4 × 105 per well was chosen, respectively. For PHHs, an approximal density of 3.75 × 105 viable cells per well was aimed but varies depending on the cell quality after the isolation process. PHH were either cultured without or with 10 µM ruxolitinib pretreatment prior to infection. To analyze replication fitness of different HCV variants, the cells were inoculated with normalized amounts of GE per cell as indicated in the corresponding figure legend. After 4 h of incubation at 37°C and 5% CO2, the inoculum was aspirated, and residual unattached virus particles were removed by washing the cells four times with PBS before fresh cell culture medium, including ruxolitinib where indicated, was applied. Replication fitness was analyzed by collection of supernatant and cell lysates at 4, 24, 48, and 72 h.p.i. Collected supernatant was used to measure virus particle release over time by determination of the TCID50/mL titer. Total RNA was extracted from cell lysates and used to measure intracellular viral RNA levels by RT-qPCR.
HCV replication assays
For replication assays, 5 µg of in vitro transcribed HCV SGR RNA was mixed with 6 × 106 Huh-7 cells in cytomix solution and electroporated as described in detail in the HCVcc production protocol. Electroporated cells were transferred into DMEM complete supplemented with 10% FCS, reaching a density of 3 × 105 cells/mL. From this, 3 × 104 cells per well were seeded in quadruplicates in one 96-well plate per analyzed time point. At 4, 24, 48, and 72 h.p.e., cell culture supernatant was removed, and cells lysed directly on the plate by addition of 35 µL/well luciferase lysis buffer (1% Triton X-100, 25 mM diglycine, 15 mM MgSO4, 4 mM EGTA, and 1 mM DTT) and storage at −20°C prior to luciferase measurement.
HCV entry and assembly assays
To study HCV entry and assembly phenotypes of different HCV variants, 0.75 µg of in vitro transcribed HCV full-length RNA was electroporated into 4 × 106 Lunet N#3 cells similar to the HCVcc production protocol. Subsequently, after the electroporation, Lunet N#3 cells were seeded in six-well format in a density of 4 × 105 cells per well. The kinetics of viral particles released upon transfection of HCV RNA was analyzed by collecting the cell culture supernatant of electroporated cells at 4, 24, 48, and 72 h.p.e. Virus titer of collected supernatants was measured using an end-point dilution assay to determine the TCID50/mL.
HCV receptor-blocking assay
Huh-7.5 cells were seeded in a density of 2 × 104 cells per well of a poly-L-lysine-coated 96-well plate. Two days after seeding, the cells were incubated with a serial dilution from 10 to 0.0006 µg/mL of either anti-CD81 (JS-81; 555675, BD Pharmingen), mouse IgG1 κ isotype control (107.3, 554721, BD Pharmingen) or anti-SR-BI (C16-71) (99). After 1 h of incubation at 37°C, the cells were infected with an amount of virus that resulted in approx. 200 FFU/well. After further incubation for 3 h, one PBS wash was performed, and fresh media were added. At 48 h after infection, cells were fixed with ice-cold methanol and stained for NS5A expression by immunofluorescence staining.
HCV spreading assay
To study cell-to-cell spread, 2 × 106 Lunet N#3 cells were electroporated with 1.25 µg of in vitro transcribed HCV full-length RNA as stated earlier in the Materials and Methods section. Electroporated cells were transferred into 9.6 mL of DMEM complete containing 10% FCS to reach a final concentration of 2 × 105 cells per ml. Electroporated cells were further diluted in a cell suspension containing a similar cell density of naïve Lunet N#3 (1:50 dilution ratio) or Lunet N#3 hCD81 (1:100 dilution ratio). Undiluted and diluted cells were seeded in a density of 2 × 104 cells/well into a 96-well plate and incubated for 48 h. The cells were then fixed by incubation in 3% paraformaldehyde (PFA) for 30 min before NS5A expression was detected using immunofluorescence staining.
Drug sensitivity assay
Huh-7 cells were electroporated with 5 µg of in vitro transcribed SGR RNA as done in the HCV replication assay. Electroporated cells were seeded in half of a 96-well plate per drug with a density of 3 × 104 cells per well. At 5 h.p.e., standard cell culture medium was exchanged to DMEM complete containing 10% FCS, a constant end concentration of 0.01% DMSO and serial dilutions of telaprevir (S1538, Selleckchem), daclatasvir (S1482, Selleckchem), and cyclosporin A (C988900, Toronto Research Chemicals). In the case of the Intron A solution (Merck Sharp & Dome GmbH), serial dilutions in DMEM complete containing 10% FCS did not require the addition of DMSO as a solvent control. After 48 h of incubation, cell culture supernatant was removed and cells lysed on the plate by addition of 35 µL/well of luciferase lysis buffer (1% Triton X-100, 25 mM diglycine, 15 mM MgSO4, 4 mM EGTA, and 1 mM DTT). Cell lysates were stored at −20°C until luciferase measurement was performed.
Virus titer determination
Virus titer of cell culture supernatant was determined by a limiting dilution assay, followed by calculating the TCID50/mL after immunohistochemical staining of cells inoculated with the supernatant. For this, highly permissive Huh-7.5 cells were seeded at a density of 1 × 104 cells in 200 µL per well of a 96-well plate. On the day after seeding, the cells were inoculated in replicates of six wells per condition with serial dilutions of the cell culture supernatant. The dilution ratio (1:3, 1:5, or 1:10) was chosen depending on the estimated infectivity of the culture fluid. After 72 h of incubation at 37°C and 5% CO2, cell culture fluid was removed, and cells were fixed by the addition of ice-cold methanol for 20 min. The cells were washed two times with PBS containing 0.1% Triton X-100 (PBS-T). Blocking of endogenous peroxidase activity was performed by incubation with 3% H2O2 in PBS-T for 5 min at room temperature (RT). NS5A expression in infected cells was detected by incubation with mouse anti-NS5A monoclonal antibody 9E10 (18) (Cell essentials) in a concentration of 0.44 µg/mL in PBS-T for 1 h at RT. Bound NS5A antibody was detected after two washes with PBS-T by incubation with horseradish peroxidase (HRP)-conjugated anti-mouse antibody (A4416, Sigma-Aldrich) diluted 1:300 in PBS-T. After 1 h of incubation, cells were washed twice with PBS-T before filtered substrate solution (28.78 mM sodium acetate, 11.52 mM acetic acid, 4.42 mM 3-amino-9-ethylcarbazole in N, N-dimethylformamide, and 0.3% hydrogen peroxide) was added as a substrate of the HRP-conjugated secondary antibody. HRP activity was terminated after a minimum of 10 min incubation at room temperature by removing the substrate and addition of distilled H20. TCID50/mL was determined by counting NS5A positive wells using the bright-field microscope, followed by the calculation using the TCID50 calculator (100).
Immunofluorescence staining
After fixation for immunofluorescence staining, residual PFA was washed away using PBS. The cells were permeabilized for 5 min at RT using 0.2% Triton X-100 in PBS. Residual Triton X-100 was washed away using PBS before blocking in 5% horse serum in PBS for 1 h. Then, the cells were incubated for 1 h at RT with an anti-NS5A monoclonal antibody 9E10 (18) (Cell essentials) in a concentration of 0.44 µg/mL in PBS containing 5% goat or horse serum. Bound NS5A antibody was detected after two washes with PBS by incubation with anti-mouse Alexa Fluor 488 plus (A32723, Thermo Scientific) or Alexa Fluor Plus 555 (A32773, Thermo Scientific) in a concentration of 2 µg/mL in 5% goat or horse serum in PBS. After 1 h of incubation, the cells were washed two times with PBS before cellular DNA was stained by a short incubation with 4′, 6-diamidino-2-phenylindole (0.5 µg/mL). Finally, three washes with water were performed prior to microscopic analyses. Microscopic images were taken using Immunospot analyzer (CTL Europe GmbH) or the Keyence BZX800 microscope (4× objective). The number of FFU was counted using the analyzing software of the Immunospot analyzer or FIJI in combination with CellProfiler (101, 102). For visualization of full 96-well fluorescence images a maximum filter (r = 10 pixels) was applied as previously described (103).
RT-qPCR
Total RNA from liver cells was extracted using the NucleoSpin RNA kit (Macherey-Nagel). Viral RNA from cell culture supernatant was isolated using the Quick-RNA Viral kit (ZymoResearch). Both preparations were performed according to the recommendations of the manufacturer. The number of HCV genome equivalents present in the samples was measured by an HCV probe-based approach. For this, 2 µL of RNA sample was mixed with the PCR ingredients of the one-step LightCycler 480 RNA Master Hydrolysis Probes kit (Roche Holding AG), the JFH1-specific probe (5′-6FAM-AAA GGA CCC AGT CTT CCC GGC AA-TMR-3′) as well as the primers S-146 (5′-TCT GCG GAA CCG GTG AGT A-3′) and A-221 (5′-GGG CAT AGA GTG GGT TTA TCC A-3′) according to the manufacturer’s instructions. The PCR reaction protocol was set as follows: 63°C for 3 min, 95°C for 30 s and 45 cycles with each 95°C for 15 s and 60°C for 30 s, before a final cooling of 40°C for 30 s was performed. The HCV GE was determined using serially diluted in vitro transcribed HCV full-length RNA with a known copy number as an internal standard, followed by normalization to the total RNA of each sample. Technical duplicates were performed for each sample.
Luciferase measurement
After thawing, 20 µL/well of cell lysates was transferred to a white luminometer 96-well plate containing 72 µL assay buffer (25 mM diglycine pH 7.8, 15 mM KPO4, 15 mM MgSO4, 4 mM EGTA pH 8, 1 mM DTT, and 2 mM ATP pH 7.8) before 40 µL of luciferin solution (0.2 mM D-luciferin, 25 mM diglycine) were automatically added and bioluminescence measurement performed by the Berthold LB 960 microplate reader (Berthold Technologies).
RNA sequencing and transcriptome analyses
For transcriptional profiling of HCV-infected cells, 4 × 105 Huh-7 cells and 2 × 106 PHHs were seeded per well on a six-well plate. On the day of infection, cell culture medium was replaced by 1 mL of fresh medium before virus inoculum (MOI 1 TCID50/mL per cell) or an equal volume of conditioned cell culture medium from uninfected cells, which underwent the same preparation as the virus stock (e.g., passaging and concentration), was added. After 4 h of incubation, the inoculum was topped up with 1 mL of fresh cell culture media. After a further 24 h of incubation, cell culture supernatant was completely removed, and cells were washed once with PBS. The cells were lysed in 350 µL of RA1 buffer of the NucleoSpin RNA kit (Macherey-Nagel) supplemented with 1% beta-mercaptoethanol, followed by passing ten times through a narrow-bore syringe (Omican-F, 1 mL, 0.3 × 12 mm2, 9161502, B Braun). Total RNA was extracted according to the manufacturer’s instructions. Quality and quantity of extracted RNA were analyzed using the NanoDrop One (Thermo Scientific) and Fragment Analyzer (Agilent). Library preparation was performed according to NNSR priming principle (104) as described previously (11). The resulting libraries were sequenced using the NextSeq 550 platform (Illumina) with single end 1 × 86 bp setting. After trimming the two initial nucleotides from the reads, the transcriptome analyses were performed using CLC Genomics Workbench Version 21.0.4 (Qiagen). Raw FASTQ files were aligned against the human reference genome GRCh38 (updated on 24 November 2021). Identification of differentially expressed genes was done by filtering on average expression for false discovery rate (FDR) correction and testing differentially expression due to infection while controlling for passage number of Huh-7 cells or the donor of the PHHs. Further GO enrichment analysis settings included exclusion of data with a mean RPKM below 0.5 and a fold change below 1.5 and a threshold of FDR P value > 0.05. Further processing of Gene Set Enrichment and KEGG pathway analyses were performed in R (105) using the gseKEGG function from the R package clusterProfiler” v4.7.1.001 (106). Volcano plots were generated using the R package “EnhancedVolcano” v1.16.0 (107). PCA, volcano, GO, and KEGG plots were all generated or improved with the R package “ggplot2” v3.4.1 (108).
Statistical analyses
Experiments were conducted in a minimum of three independent biological replicates. Graphical visualization of experimental data and statistical analyses were performed with GraphPad Prism 9 (GraphPad Software). Prior to statistical analyses, data were transformed into logarithmic format (not done for Fig. 6J). Statistical significance was then calculated using either two-tailed, unpaired t test or two-way ANOVA with either Sidak’s or Dunnett’s multiple comparisons correction as indicated in the respective figure legend. Significance levels were visualized as follows: P < 0.05 = *, P < 0.01 = **, P < 0.001 = ***, and P < 0.0001 = ****.
ACKNOWLEDGMENTS
Huh-7.5 cells were kindly donated by Charles M. Rice (Rockefeller University, New York City, USA). Matthew Evans (Icahn School of Medicine at Mount Sinai, New York, USA) kindly provided the Huh-7.5 miR-122 -/- and the corresponding parental cell line. Furthermore, p100pop was a kind gift from Esteban Domingo (CBMSO, Madrid, Spain) and the authors appreciate the fruitful project discussion with him and his team. The JFH1 subgenomic replicon plasmids were kindly provided by Volker Lohmann (Heidelberg University, Heidelberg, Germany).
Contributor Information
Julie Sheldon, Email: julie.sheldon@twincore.de.
J.-H. James Ou, University of Southern California, Los Angeles, California, USA.
DATA AVAILABILITY
The raw RNA-seq data and subsequent downstream analyses (gene expression browser, GO enrichment analysis) were submitted to the NCBI GEO database and can be accessed under the accession number GSE246981.
REFERENCES
- 1. WHO . 2021. Global progress report on HIV, viral hepatitis and sexual transmitted infections.
- 2. Martell M, Esteban JI, Quer J, Genescà J, Weiner A, Esteban R, Guardia J, Gómez J. 1992. Hepatitis C virus (HCV) circulates as a population of different but closely related genomes: quasispecies nature of HCV genome distribution. J Virol 66:3225–3229. doi: 10.1128/JVI.66.5.3225-3229.1992 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Reiss S, Harak C, Romero-Brey I, Radujkovic D, Klein R, Ruggieri A, Rebhan I, Bartenschlager R, Lohmann V. 2013. The lipid kinase phosphatidylinositol-4 kinase III alpha regulates the phosphorylation status of hepatitis C virus NS5A. PLoS Pathog 9:e1003359. doi: 10.1371/journal.ppat.1003359 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Berger KL, Kelly SM, Jordan TX, Tartell MA, Randall G. 2011. Hepatitis C virus stimulates the phosphatidylinositol 4-kinase III alpha-dependent phosphatidylinositol 4-phosphate production that is essential for its replication. J Virol 85:8870–8883. doi: 10.1128/JVI.00059-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Harak C, Meyrath M, Romero-Brey I, Schenk C, Gondeau C, Schult P, Esser-Nobis K, Saeed M, Neddermann P, Schnitzler P, Gotthardt D, Perez-Del-Pulgar S, Neumann-Haefelin C, Thimme R, Meuleman P, Vondran FWR, De Francesco R, Rice CM, Bartenschlager R, Lohmann V. 2016. Tuning a cellular lipid kinase activity adapts hepatitis C virus to replication in cell culture. Nat Microbiol 2:16247. doi: 10.1038/nmicrobiol.2016.247 [DOI] [PubMed] [Google Scholar]
- 6. Saeed M, Andreo U, Chung HY, Espiritu C, Branch AD, Silva JM, Rice CM. 2015. SEC14L2 enables pan-genotype HCV replication in cell culture. Nature 524:471–475. doi: 10.1038/nature14899 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Costa R, Todt D, Zapatero-Belinchón F, Schenk C, Anastasiou OE, Walker A, Hertel B, Timmer L, Bojkova D, Ruckert M, Sarrazin C, Timm J, Lohmann V, Manns MP, Steinmann E, von Hahn T, Ciesek S. 2019. SEC14L2, a lipid-binding protein, regulates HCV replication in culture with inter- and intra-genotype variations. J Hepatol 70:603–614. doi: 10.1016/j.jhep.2018.11.012 [DOI] [PubMed] [Google Scholar]
- 8. Perales C, Beach NM, Gallego I, Soria ME, Quer J, Esteban JI, Rice C, Domingo E, Sheldon J. 2013. Response of hepatitis C virus to long-term passage in the presence of alpha interferon: multiple mutations and a common phenotype. J Virol 87:7593–7607. doi: 10.1128/JVI.02824-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Sheldon J, Beach NM, Moreno E, Gallego I, Piñeiro D, Martínez-Salas E, Gregori J, Quer J, Esteban JI, Rice CM, Domingo E, Perales C. 2014. Increased replicative fitness can lead to decreased drug sensitivity of hepatitis C virus. J Virol 88:12098–12111. doi: 10.1128/JVI.01860-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Carpentier A, Sheldon J, Vondran FWR, Brown RJ, Pietschmann T. 2020. Efficient acute and chronic infection of stem cell-derived hepatocytes by hepatitis C virus. Gut 69:1659–1666. doi: 10.1136/gutjnl-2019-319354 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Brown RJP, Tegtmeyer B, Sheldon J, Khera T, Todt D, Vieyres G, Weller R, Joecks S, Zhang Y, Svenja S, et al. , Anggakusuma . 2020. Liver-expressed Cd302 and Cr1L limit hepatitis C virus cross-species transmission to mice. Sci Adv 6:eabd3233. doi: 10.1126/sciadv.abd3233 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Marukian S, Jones CT, Andrus L, Evans MJ, Ritola KD, Charles ED, Rice CM, Dustin LB. 2008. Cell culture–produced hepatitis C virus does not infect peripheral blood mononuclear cells. Hepatology 48:1843–1850. doi: 10.1002/hep.22550 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Phan T, Beran RKF, Peters C, Lorenz IC, Lindenbach BD. 2009. Hepatitis C virus NS2 protein contributes to virus particle assembly via opposing epistatic interactions with the E1-E2 glycoprotein and NS3-NS4A enzyme complexes. J Virol 83:8379–8395. doi: 10.1128/JVI.00891-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Doi I. 1976. Establishment of a cell line and its Clonal Sublines from a patient with Hepatoblastoma. Gan 67:1–10. doi:https://pubmed.ncbi.nlm.nih.gov/57894/ [PubMed] [Google Scholar]
- 15. Aden DP, Fogel A, Plotkin S, Damjanov I, Knowles BB. 1979. Controlled synthesis of HBsAg in a differentiated human liver carcinoma-derived cell line. Nature 282:615–616. doi: 10.1038/282615a0 [DOI] [PubMed] [Google Scholar]
- 16. Haid S, Windisch MP, Bartenschlager R, Pietschmann T. 2010. Mouse-specific residues of claudin-1 limit hepatitis C virus genotype 2a infection in a human hepatocyte cell line. J Virol 84:964–975. doi: 10.1128/JVI.01504-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Haid S, Grethe C, Dill MT, Heim M, Kaderali L, Pietschmann T. 2014. Isolate-dependent use of claudins for cell entry by hepatitis C virus. Hepatology 59:24–34. doi: 10.1002/hep.26567 [DOI] [PubMed] [Google Scholar]
- 18. Lindenbach BD, Evans MJ, Syder AJ, Wölk B, Tellinghuisen TL, Liu CC, Maruyama T, Hynes RO, Burton DR, McKeating JA, Rice CM. 2005. Complete replication of hepatitis C virus in cell culture. Science 309:623–626. doi: 10.1126/science.1114016 [DOI] [PubMed] [Google Scholar]
- 19. Narbus CM, Israelow B, Sourisseau M, Michta ML, Hopcraft SE, Zeiner GM, Evans MJ. 2011. HepG2 cells expressing microRNA miR-122 support the entire hepatitis C virus life cycle. J Virol 85:12087–12092. doi: 10.1128/JVI.05843-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Amador-Cañizares Y, Bernier A, Wilson JA, Sagan SM. 2018. miR-122 does not impact recognition of the HCV genome by innate sensors of RNA but rather protects the 5' end from the cellular pyrophosphatases, DOM3Z and DUSP11. Nucleic Acids Res 46:5139–5158. doi: 10.1093/nar/gky273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Li Y, Masaki T, Yamane D, McGivern DR, Lemon SM. 2013. Competing and noncompeting activities of miR-122 and the 5' exonuclease Xrn1 in regulation of hepatitis C virus replication. Proc Natl Acad Sci U S A 110:1881–1886. doi: 10.1073/pnas.1213515110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Mortimer SA, Doudna JA. 2013. Unconventional miR-122 binding stabilizes the HCV genome by forming a trimolecular RNA structure. Nucleic Acids Res 41:4230–4240. doi: 10.1093/nar/gkt075 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Schult P, Roth H, Adams RL, Mas C, Imbert L, Orlik C, Ruggieri A, Pyle AM, Lohmann V. 2018. microRNA-122 amplifies hepatitis C virus translation by shaping the structure of the internal ribosomal entry site. Nat Commun 9:2613. doi: 10.1038/s41467-018-05053-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Amador-Cañizares Y, Panigrahi M, Huys A, Kunden RD, Adams HM, Schinold MJ, Wilson JA. 2018. miR-122, small RNA annealing and sequence mutations alter the predicted structure of the hepatitis C virus 5' UTR RNA to stabilize and promote viral RNA accumulation. Nucleic Acids Res 46:9776–9792. doi: 10.1093/nar/gky662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Hopcraft SE, Azarm KD, Israelow B, Lévêque N, Schwarz MC, Hsu T-H, Chambers MT, Sourisseau M, Semler BL, Evans MJ. 2016. Viral determinants of miR-122-independent hepatitis C virus replication. mSphere 1:e00009-15. doi: 10.1128/mSphere.00009-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Bitzegeio J, Bankwitz D, Hueging K, Haid S, Brohm C, Zeisel MB, Herrmann E, Iken M, Ott M, Baumert TF, Pietschmann T. 2010. Adaptation of hepatitis C virus to mouse CD81 permits infection of mouse cells in the absence of human entry factors. PLoS Pathog 6:e1000978. doi: 10.1371/journal.ppat.1000978 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Catanese MT, Loureiro J, Jones CT, Dorner M, von Hahn T, Rice CM. 2013. Different requirements for scavenger receptor class B type I in hepatitis C virus cell-free versus cell-to-cell transmission. J Virol 87:8282–8293. doi: 10.1128/JVI.01102-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Takeda H, Ueda Y, Inuzuka T, Yamashita Y, Osaki Y, Nasu A, Umeda M, Takemura R, Seno H, Sekine A, Marusawa H. 2017. Evolution of multi-drug resistant HCV clones from pre-existing resistant-associated variants during direct-acting antiviral therapy determined by third-generation sequencing. Sci Rep 7:45605. doi: 10.1038/srep45605 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Tegtmeyer B, Vieyres G, Todt D, Lauber C, Ginkel C, Engelmann M, Herrmann M, Pfaller CK, Vondran FWR, Broering R, Vafadarnejad E, Saliba A-E, Puff C, Baumgärtner W, Miskey C, Ivics Z, Steinmann E, Pietschmann T, Brown RJP. 2021. Initial HCV infection of adult hepatocytes triggers a temporally structured transcriptional program containing diverse pro- and anti-viral elements. J Virol 95:e00245-21. doi: 10.1128/JVI.00245-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Israelow B, Mullokandov G, Agudo J, Sourisseau M, Bashir A, Maldonado AY, Dar AC, Brown BD, Evans MJ. 2014. Hepatitis C virus genetics affects miR-122 requirements and response to miR-122 inhibitors. Nat Commun 5:5408. doi: 10.1038/ncomms6408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Friebe P, Lohmann V, Krieger N, Bartenschlager R. 2001. Sequences in the 5' nontranslated region of hepatitis C virus required for RNA replication. J Virol 75:12047–12057. doi: 10.1128/JVI.75.24.12047-12057.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Tsukiyama-Kohara K, Iizuka N, Kohara M, Nomoto A. 1992. Internal ribosome entry site within hepatitis C virus RNA. J Virol 66:1476–1483. doi: 10.1128/JVI.66.3.1476-1483.1992 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Reynolds JE, Kaminski A, Kettinen HJ, Grace K, Clarke BE, Carroll AR, Rowlands DJ, Jackson RJ. 1995. Unique features of internal initiation of hepatitis C virus RNA translation. EMBO J 14:6010–6020. doi: 10.1002/j.1460-2075.1995.tb00289.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Díaz-Toledano R, Ariza-Mateos A, Birk A, Martínez-García B, Gómez J. 2009. In vitro characterization of a miR-122-sensitive double-helical switch element in the 5' region of hepatitis C virus RNA. Nucleic Acids Res 37:5498–5510. doi: 10.1093/nar/gkp553 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Chahal J, Gebert LFR, Gan HH, Camacho E, Gunsalus KC, MacRae IJ, Sagan SM. 2019. miR-122 and Ago interactions with the HCV genome alter the structure of the viral 5' terminus. Nucleic Acids Res 47:5307–5324. doi: 10.1093/nar/gkz194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Bukh J, Purcell RH, Miller RH. 1992. Sequence analysis of the 5' noncoding region of hepatitis C virus. Proc Natl Acad Sci U S A 89:4942–4946. doi: 10.1073/pnas.89.11.4942 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Ottosen S, Parsley TB, Yang L, Zeh K, van Doorn L-J, van der Veer E, Raney AK, Hodges MR, Patick AK. 2015. In vitro antiviral activity and preclinical and clinical resistance profile of miravirsen, a novel anti-hepatitis C virus therapeutic targeting the human factor miR-122. Antimicrob Agents Chemother 59:599–608. doi: 10.1128/AAC.04220-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. van der Ree MH, de Vree JM, Stelma F, Willemse S, van der Valk M, Rietdijk S, Molenkamp R, Schinkel J, van Nuenen AC, Beuers U, Hadi S, Harbers M, van der Veer E, Liu K, Grundy J, Patick AK, Pavlicek A, Blem J, Huang M, Grint P, Neben S, Gibson NW, Kootstra NA, Reesink HW. 2017. Safety, tolerability, and antiviral effect of RG-101 in patients with chronic hepatitis C: a phase 1B, double-blind, randomised controlled trial. Lancet 389:709–717. doi: 10.1016/S0140-6736(16)31715-9 [DOI] [PubMed] [Google Scholar]
- 39. Chahal J, Gebert LFR, Camargo C, MacRae IJ, Sagan SM. 2021. miR-122-based therapies select for three distinct resistance mechanisms based on alterations in RNA structure. Proc Natl Acad Sci U S A 118:e2103671118. doi: 10.1073/pnas.2103671118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Panda D, Gjinaj E, Bachu M, Squire E, Novatt H, Ozato K, Rabin RL. 2019. IRF1 maintains optimal constitutive expression of antiviral genes and regulates the early antiviral response. Front Immunol 10:1019. doi: 10.3389/fimmu.2019.01019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Yamane D, Feng H, Rivera-Serrano EE, Selitsky SR, Hirai-Yuki A, Das A, McKnight KL, Misumi I, Hensley L, Lovell W, González-López O, Suzuki R, Matsuda M, Nakanishi H, Ohto-Nakanishi T, Hishiki T, Wauthier E, Oikawa T, Morita K, Reid LM, Sethupathy P, Kohara M, Whitmire JK, Lemon SM. 2019. Basal expression of interferon regulatory factor 1 drives intrinsic hepatocyte resistance to multiple RNA viruses. Nat Microbiol 4:1096–1104. doi: 10.1038/s41564-019-0425-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Chen S, Harris M. 2023. NS5A domain I antagonises PKR to facilitate the assembly of infectious hepatitis C virus particles. PLoS Pathog 19:e1010812. doi: 10.1371/journal.ppat.1010812 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. García-Crespo C, Francisco-Recuero I, Gallego I, Camblor-Murube M, Soria ME, López-López A, de Ávila AI, Madejón A, García-Samaniego J, Domingo E, Sánchez-Pacheco A, Perales C. 2023. Hepatitis C virus fitness can influence the extent of infection-mediated epigenetic modifications in the host cells. Front Cell Infect Microbiol 13:1057082. doi: 10.3389/fcimb.2023.1057082 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Ke P-Y, Chen S-L. 2012. Hepatitis C virus and cellular stress response: implications to molecular pathogenesis of liver diseases. Viruses 4:2251–2290. doi: 10.3390/v4102251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Garaigorta U, Chisari FV. 2009. Hepatitis C virus blocks interferon effector function by inducing protein kinase R phosphorylation. Cell Host Microbe 6:513–522. doi: 10.1016/j.chom.2009.11.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Garaigorta U, Heim MH, Boyd B, Wieland S, Chisari FV. 2012. Hepatitis C virus (HCV) induces formation of stress granules whose proteins regulate HCV RNA replication and virus assembly and egress. J Virol 86:11043–11056. doi: 10.1128/JVI.07101-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Ariumi Y, Kuroki M, Kushima Y, Osugi K, Hijikata M, Maki M, Ikeda M, Kato N. 2011. Hepatitis C virus hijacks P-body and stress granule components around lipid droplets. J Virol 85:6882–6892. doi: 10.1128/JVI.02418-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Ferraris P, Blanchard E, Roingeard P. 2010. Ultrastructural and biochemical analyses of hepatitis C virus-associated host cell membranes. J Gen Virol 91:2230–2237. doi: 10.1099/vir.0.022186-0 [DOI] [PubMed] [Google Scholar]
- 49. Sir D, Kuo C, Tian Y, Liu HM, Huang EJ, Jung JU, Machida K, Ou JJ. 2012. Replication of hepatitis C virus RNA on autophagosomal membranes. J Biol Chem 287:18036–18043. doi: 10.1074/jbc.M111.320085 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Guévin C, Manna D, Bélanger C, Konan KV, Mak P, Labonté P. 2010. Autophagy protein ATG5 interacts transiently with the hepatitis C virus RNA polymerase (NS5B) early during infection. Virology 405:1–7. doi: 10.1016/j.virol.2010.05.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Tanida I, Fukasawa M, Ueno T, Kominami E, Wakita T, Hanada K. 2009. Knockdown of autophagy-related gene decreases the production of infectious hepatitis C virus particles. Autophagy 5:937–945. doi: 10.4161/auto.5.7.9243 [DOI] [PubMed] [Google Scholar]
- 52. Dreux M, Gastaminza P, Wieland SF, Chisari FV. 2009. The autophagy machinery is required to initiate hepatitis C virus replication. Proc Natl Acad Sci U S A 106:14046–14051. doi: 10.1073/pnas.0907344106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Wang J, Kang R, Huang H, Xi X, Wang B, Wang J, Zhao Z. 2014. Hepatitis C virus core protein activates autophagy through EIF2AK3 and ATF6 UPR pathway-mediated MAP1LC3B and ATG12 expression. Autophagy 10:766–784. doi: 10.4161/auto.27954 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Maiuri MC, Malik SA, Morselli E, Kepp O, Criollo A, Mouchel PL, Carnuccio R, Kroemer G. 2009. Stimulation of autophagy by the p53 target gene Sestrin2. Cell Cycle 8:1571–1576. doi: 10.4161/cc.8.10.8498 [DOI] [PubMed] [Google Scholar]
- 55. Zhang XY, Wu XQ, Deng R, Sun T, Feng GK, Zhu XF. 2013. Upregulation of sestrin 2 expression via JNK pathway activation contributes to autophagy induction in cancer cells. Cell Signal 25:150–158. doi: 10.1016/j.cellsig.2012.09.004 [DOI] [PubMed] [Google Scholar]
- 56. Kaul A, Stauffer S, Berger C, Pertel T, Schmitt J, Kallis S, Zayas M, Lohmann V, Luban J, Bartenschlager R. 2009. Essential role of cyclophilin A for hepatitis C virus replication and virus production and possible link to polyprotein cleavage kinetics. PLoS Pathog 5:e1000546. doi: 10.1371/journal.ppat.1000546 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Kaul A, Woerz I, Meuleman P, Leroux-Roels G, Bartenschlager R. 2007. Cell culture adaptation of hepatitis C virus and in vivo viability of an adapted variant. J Virol 81:13168–13179. doi: 10.1128/JVI.01362-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Domingo E, Perales C. 2019. Viral quasispecies. PLoS Genet 15:e1008271. doi: 10.1371/journal.pgen.1008271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Domingo E, Sabo D, Taniguchi T, Weissmann C. 1978. Nucleotide sequence heterogeneity of an RNA phage population. Cell 13:735–744. doi: 10.1016/0092-8674(78)90223-4 [DOI] [PubMed] [Google Scholar]
- 60. Duarte EA, Novella IS, Ledesma S, Clarke DK, Moya A, Elena SF, Domingo E, Holland JJ. 1994. Subclonal components of consensus fitness in an RNA virus clone. J Virol 68:4295–4301. doi: 10.1128/JVI.68.7.4295-4301.1994 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Wang Q, Li Y, Liu SA, Xie W, Cheng J. 2018. Cell culture-adaptive mutations in hepatitis C virus promote viral production by enhancing viral replication and release. World J Gastroenterol 24:1299–1311. doi: 10.3748/wjg.v24.i12.1299 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Liu S, Xiao L, Nelson C, Hagedorn CH. 2012. A cell culture adapted HCV JFH1 variant that increases viral titers and permits the production of high titer infectious chimeric reporter viruses. PLoS ONE 7:e44965. doi: 10.1371/journal.pone.0044965 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Appel N, Pietschmann T, Bartenschlager R. 2005. Mutational analysis of hepatitis C virus nonstructural protein 5A: potential role of differential phosphorylation in RNA replication and identification of a genetically flexible domain. J Virol 79:3187–3194. doi: 10.1128/JVI.79.5.3187-3194.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Evans MJ, Rice CM, Goff SP. 2004. Phosphorylation of hepatitis C virus nonstructural protein 5A modulates its protein interactions and viral RNA replication. Proc Natl Acad Sci U S A 101:13038–13043. doi: 10.1073/pnas.0405152101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Pietschmann T, Zayas M, Meuleman P, Long G, Appel N, Koutsoudakis G, Kallis S, Leroux-Roels G, Lohmann V, Bartenschlager R, Rice CM. 2009. Production of infectious genotype 1b virus particles in cell culture and impairment by replication enhancing mutations. PLoS Pathog 5:e1000475. doi: 10.1371/journal.ppat.1000475 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Bukh J, Pietschmann T, Lohmann V, Krieger N, Faulk K, Engle RE, Govindarajan S, Shapiro M, St Claire M, Bartenschlager R. 2002. Mutations that permit efficient replication of hepatitis C virus RNA in Huh-7 cells prevent productive replication in chimpanzees. Proc Natl Acad Sci U S A 99:14416–14421. doi: 10.1073/pnas.212532699 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Pietschmann T, Lohmann V, Kaul A, Krieger N, Rinck G, Rutter G, Strand D, Bartenschlager R. 2002. Persistent and transient replication of full-length hepatitis C virus genomes in cell culture. J Virol 76:4008–4021. doi: 10.1128/jvi.76.8.4008-4021.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Pileri P, Uematsu Y, Campagnoli S, Galli G, Falugi F, Petracca R, Weiner AJ, Houghton M, Rosa D, Grandi G, Abrignani S. 1998. Binding of hepatitis C virus to CD81. Science 282:938–941. doi: 10.1126/science.282.5390.938 [DOI] [PubMed] [Google Scholar]
- 69. Lavie M, Hanoulle X, Dubuisson J. 2018. Glycan shielding and modulation of hepatitis C virus neutralizing antibodies. Front Immunol 9:910. doi: 10.3389/fimmu.2018.00910 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Helle F, Vieyres G, Elkrief L, Popescu CI, Wychowski C, Descamps V, Castelain S, Roingeard P, Duverlie G, Dubuisson J. 2010. Role of N-linked glycans in the functions of hepatitis C virus envelope proteins incorporated into infectious virions. J Virol 84:11905–11915. doi: 10.1128/JVI.01548-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Gottwein JM, Scheel TKH, Jensen TB, Lademann JB, Prentoe JC, Knudsen ML, Hoegh AM, Bukh J. 2009. Development and characterization of hepatitis C virus genotype 1-7 cell culture systems: role of CD81 and scavenger receptor class B type I and effect of antiviral drugs. Hepatology 49:364–377. doi: 10.1002/hep.22673 [DOI] [PubMed] [Google Scholar]
- 72. Alzua GP, Pihl AF, Offersgaard A, Velázquez-Moctezuma R, Duarte Hernandez CR, Augestad EH, Fahnøe U, Mathiesen CK, Krarup H, Law M, Prentoe J, Bukh J, Gottwein JM. 2023. Identification of novel neutralizing determinants for protection against HCV. Hepatology 77:982–996. doi: 10.1002/hep.32772 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Miyanari Y, Atsuzawa K, Usuda N, Watashi K, Hishiki T, Zayas M, Bartenschlager R, Wakita T, Hijikata M, Shimotohno K. 2007. The lipid droplet is an important organelle for hepatitis C virus production. Nat Cell Biol 9:1089–1097. doi: 10.1038/ncb1631 [DOI] [PubMed] [Google Scholar]
- 74. Aligeti M, Roder A, Horner SM. 2015. Cooperation between the hepatitis C virus p7 and NS5B proteins enhances virion infectivity. J Virol 89:11523–11533. doi: 10.1128/JVI.01185-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Boson B, Granio O, Bartenschlager R, Cosset FL. 2011. A concerted action of hepatitis C virus p7 and nonstructural protein 2 regulates core localization at the endoplasmic reticulum and virus assembly. PLoS Pathog 7:e1002144. doi: 10.1371/journal.ppat.1002144 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Popescu C-I, Callens N, Trinel D, Roingeard P, Moradpour D, Descamps V, Duverlie G, Penin F, Héliot L, Rouillé Y, Dubuisson J. 2011. NS2 protein of hepatitis C virus interacts with structural and non-structural proteins towards virus assembly. PLoS Pathog 7:e1001278. doi: 10.1371/journal.ppat.1001278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Stapleford KA, Lindenbach BD. 2011. Hepatitis C virus NS2 coordinates virus particle assembly through physical interactions with the E1-E2 glycoprotein and NS3-NS4A enzyme complexes. J Virol 85:1706–1717. doi: 10.1128/JVI.02268-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Yi M, Ma Y, Yates J, Lemon SM. 2007. Compensatory mutations in E1, p7, NS2, and NS3 enhance yields of cell culture-infectious intergenotypic chimeric hepatitis C virus. J Virol 81:629–638. doi: 10.1128/JVI.01890-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Appel N, Zayas M, Miller S, Krijnse-Locker J, Schaller T, Friebe P, Kallis S, Engel U, Bartenschlager R. 2008. Essential role of domain III of nonstructural protein 5A for hepatitis C virus infectious particle assembly. PLoS Pathog 4:e1000035. doi: 10.1371/journal.ppat.1000035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Masaki T, Suzuki R, Murakami K, Aizaki H, Ishii K, Murayama A, Date T, Matsuura Y, Miyamura T, Wakita T, Suzuki T. 2008. Interaction of hepatitis C virus nonstructural protein 5A with core protein is critical for the production of infectious virus particles. J Virol 82:7964–7976. doi: 10.1128/JVI.00826-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Strosberg AD, Kota S, Takahashi V, Snyder JK, Mousseau G. 2010. Core as a novel viral target for hepatitis C drugs. Viruses 2:1734–1751. doi: 10.3390/v2081734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Yang F, Robotham JM, Nelson HB, Irsigler A, Kenworthy R, Tang H. 2008. Cyclophilin A is an essential cofactor for hepatitis C virus infection and the principal mediator of cyclosporine resistance in vitro. J Virol 82:5269–5278. doi: 10.1128/JVI.02614-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Chatterji U, Bobardt M, Selvarajah S, Yang F, Tang H, Sakamoto N, Vuagniaux G, Parkinson T, Gallay P. 2009. The isomerase active site of cyclophilin A is critical for hepatitis C virus replication. J Biol Chem 284:16998–17005. doi: 10.1074/jbc.M109.007625 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Liu Z, Yang F, Robotham JM, Tang H. 2009. Critical role of cyclophilin A and its prolyl-peptidyl isomerase activity in the structure and function of the hepatitis C virus replication complex. J Virol 83:6554–6565. doi: 10.1128/JVI.02550-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Hanoulle X, Badillo A, Wieruszeski JM, Verdegem D, Landrieu I, Bartenschlager R, Penin F, Lippens G. 2009. Hepatitis C virus NS5A protein is a substrate for the peptidyl-prolyl cis/trans isomerase activity of cyclophilins A and B. J Biol Chem 284:13589–13601. doi: 10.1074/jbc.M809244200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Foster TL, Gallay P, Stonehouse NJ, Harris M. 2011. Cyclophilin A interacts with domain II of hepatitis C virus NS5A and stimulates RNA binding in an isomerase-dependent manner. J Virol 85:7460–7464. doi: 10.1128/JVI.00393-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Ngure M, Issur M, Shkriabai N, Liu H-W, Cosa G, Kvaratskhelia M, Götte M. 2016. Interactions of the disordered domain II of hepatitis C virus NS5A with cyclophilin A, NS5B, and viral RNA show extensive overlap. ACS Infect Dis 2:839–851. doi: 10.1021/acsinfecdis.6b00143 [DOI] [PubMed] [Google Scholar]
- 88. Chatterji U, Bobardt M, Tai A, Wood M, Gallay PA. 2015. Cyclophilin and NS5A inhibitors, but not other anti-hepatitis C virus (HCV) agents, preclude HCV-mediated formation of double-membrane-vesicle viral factories. Antimicrob Agents Chemother 59:2496–2507. doi: 10.1128/AAC.04958-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Madan V, Paul D, Lohmann V, Bartenschlager R. 2014. Inhibition of HCV replication by cyclophilin antagonists is linked to replication fitness and occurs by inhibition of membranous web formation. Gastroenterology 146:1361–1372. doi: 10.1053/j.gastro.2014.01.055 [DOI] [PubMed] [Google Scholar]
- 90. Colpitts CC, Ridewood S, Schneiderman B, Warne J, Tabata K, Ng CF, Bartenschlager R, Selwood DL, Towers GJ. 2020. Hepatitis C virus exploits cyclophilin A to evade PKR. Elife 9:e52237. doi: 10.7554/eLife.52237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Gale M, Blakely CM, Kwieciszewski B, Tan SL, Dossett M, Tang NM, Korth MJ, Polyak SJ, Gretch DR, Katze MG. 1998. Control of PKR protein kinase by hepatitis C virus nonstructural 5A protein: molecular mechanisms of kinase regulation. Mol Cell Biol 18:5208–5218. doi: 10.1128/MCB.18.9.5208 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Pietschmann T, Kaul A, Koutsoudakis G, Shavinskaya A, Kallis S, Steinmann E, Abid K, Negro F, Dreux M, Cosset F-L, Bartenschlager R. 2006. Construction and characterization of infectious intragenotypic and intergenotypic hepatitis C virus chimeras. Proc Natl Acad Sci U S A 103:7408–7413. doi: 10.1073/pnas.0504877103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Perales C, Beach NM, Gallego I, Soria ME, Quer J, Esteban JI, Rice C, Domingo E, Sheldon J. 2013. Response of hepatitis C virus to long-term passage in the presence of alpha interferon: multiple mutations and a common phenotype. J Virol 87:7593–7607. doi: 10.1128/JVI.02824-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Lohmann V, Körner F, Koch J, Herian U, Theilmann L, Bartenschlager R. 1999. Replication of subgenomic hepatitis C virus RNAs in a hepatoma cell line. Science 285:110–113. doi: 10.1126/science.285.5424.110 [DOI] [PubMed] [Google Scholar]
- 95. Nakabayashi H, Taketa K, Miyano K, Yamane T, Sato J. 1982. Growth of human hepatoma cells lines with differentiated functions in chemically defined medium. Cancer Res 42:3858–3863. doi:https://pubmed.ncbi.nlm.nih.gov/6286115/ [PubMed] [Google Scholar]
- 96. Blight KJ, McKeating JA, Rice CM. 2002. Highly permissive cell lines for subgenomic and genomic hepatitis C virus RNA replication. J Virol 76:13001–13014. doi: 10.1128/jvi.76.24.13001-13014.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Sumpter R, Loo Y-M, Foy E, Li K, Yoneyama M, Fujita T, Lemon SM, Gale M. 2005. Regulating intracellular antiviral defense and permissiveness to hepatitis C virus RNA replication through a cellular RNA helicase, RIG-I. J Virol 79:2689–2699. doi: 10.1128/JVI.79.5.2689-2699.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Kleine M, Riemer M, Krech T, DeTemple D, Jäger MD, Lehner F, Manns MP, Klempnauer J, Borlak J, Bektas H, Vondran FWR, Starkel P. 2014. Explanted diseased livers – A possible source of metabolic competent primary human hepatocytes. PLoS ONE 9:e101386. doi: 10.1371/journal.pone.0101386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Meuleman P, Catanese MT, Verhoye L, Desombere I, Farhoudi A, Jones CT, Sheahan T, Grzyb K, Cortese R, Rice CM, Leroux-Roels G, Nicosia A. 2012. A human monoclonal antibody targeting scavenger receptor class B type I precludes hepatitis C virus infection and viral spread in vitro and in vivo. Hepatology 55:364–372. doi: 10.1002/hep.24692 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Binder M. TCID50_calculator_v2_17-01-20_MB. Available from: https://www.klinikum.uni-heidelberg.de/zentrum-fuer-infektiologie/molecular-virology/welcome/downloads
- 101. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682. doi: 10.1038/nmeth.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J, Golland P, Sabatini DM. 2006. CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7:R100. doi: 10.1186/gb-2006-7-10-r100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Meister TL, Brüggemann Y, Nocke MK, Ulrich RG, Schuhenn J, Sutter K, Gömer A, Bader V, Winklhofer KF, Broering R, Verhoye L, Meuleman P, Vondran FWR, Camuzet C, Cocquerel L, Todt D, Steinmann E. 2022. A ribavirin-induced ORF2 single-nucleotide variant produces defective hepatitis E virus particles with immune decoy function. Proc Natl Acad Sci U S A 119:e2202653119. doi: 10.1073/pnas.2202653119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Levin JZ, Yassour M, Adiconis X, Nusbaum C, Thompson DA, Friedman N, Gnirke A, Regev A. 2010. Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nat Methods 7:709–715. doi: 10.1038/nmeth.1491 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Anonymous . 2022. R: a language and environment for statistical computing. R Foundation for Statistical Computing, on R Core Team. Available from: https://www.R-project.org [Google Scholar]
- 106. Wu T, Hu E, Xu S, Chen M, Guo P, Dai Z, Feng T, Zhou L, Tang W, Zhan L, Fu X, Liu S, Bo X, Yu G. 2021. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb) 2:100141. doi: 10.1016/j.xinn.2021.100141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Blighe K, Rana S, Lewis M. 2022. EnhancedVolcano: publication-ready volcano plots with enhanced colouring and labeling. R package version 1.16.0. https://github.com/kevinblighe/EnhancedVolcano.Accessed. [Google Scholar]
- 108. Wickham H. 2009. ggplot2 elegant graphics for data analysis. 1 ed. Springer, New York, NY. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw RNA-seq data and subsequent downstream analyses (gene expression browser, GO enrichment analysis) were submitted to the NCBI GEO database and can be accessed under the accession number GSE246981.






