The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
The HCV Life Cycle: In vitro Tissue Culture Systems and Therapeutic Targets
Open accessAbstract
Hepatitis C virus (HCV) is a highly variable plus-strand RNA virus of the family Flaviviridae. Viral strains are grouped into six epidemiologically relevant genotypes that differ from each other by more than 30% at the nucleotide level. The variability of HCV allows immune evasion and facilitates persistence. It is also a substantial challenge for the development of specific antiviral therapies effective across all HCV genotypes and for prevention of drug resistance. Novel HCV cell culture models were instrumental for identification and profiling of therapeutic strategies. Concurrently, these models revealed numerous host factors critical for HCV propagation, some of which have emerged as targets for antiviral therapy. It is generally assumed that the use of host factors is conserved among HCV isolates and genotypes. Additionally, the barrier to viral resistance is thought to be high when interfering with host factors. Therefore, current drug development includes both targeting of viral factors but also of host factors essential for virus replication. In fact, some of these host-targeting agents, for instance inhibitors of cyclophilin A, have advanced to late stage clinical trials. Here, we highlight currently available cell culture systems for HCV, review the most prominent host-targeting strategies against hepatitis C and critically discuss opportunities and risks associated with host-targeting antiviral strategies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Mfold web server for nucleic acid folding and hybridization prediction
Zuker, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg595 · Cited by 13,404
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Erlotinib in Previously Treated Non–Small-Cell Lung Cancer
Shepherd, F. A., Rodrigues Pereira, J., Ciuleanu, T., Tan, E. H., Hirsh, V., Thongprasert, S., Campos, D., Maoleekoonpiroj, S., Smylie, M., Martins, R., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050753 · Cited by 5,419
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
Regulation of mRNA Translation and Stability by microRNAs
Fabian, M. R., Sonenberg, N., & Filipowicz, W. (2010) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060308-103103 · Cited by 3,214
Thematic review series: Glycerolipids. DGAT enzymes and triacylglycerol biosynthesis
Yen, C.-L. E., Stone, S. J., Koliwad, S., Harris, C., & Farese, R. V. (2008) · Journal of Lipid Research · doi:10.1194/jlr.r800018-jlr200 · Cited by 1,105
Structures and mechanisms of viral membrane fusion proteins: multiple variations on a common theme
White, J. M., Delos, S. E., Brecher, M., & Schornberg, K. (2008) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409230802058320 · Cited by 892
Cited by
Bartel, D. P. (2018) · Cell · doi:10.1016/j.cell.2018.03.006 · Cited by 3,751
Type I interferons in infectious disease
McNab, F., Mayer-Barber, K., Sher, A., Wack, A., & O'Garra, A. (2015) · Nature Reviews Immunology · doi:10.1038/nri3787 · Cited by 2,780
Endogenous microRNA sponges: evidence and controversy
Thomson, D. W., & Dinger, M. E. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.20 · Cited by 2,185
Into the Eye of the Cytokine Storm
Tisoncik, J. R., Korth, M. J., Simmons, C. P., Farrar, J., Martin, T. R., & Katze, M. G. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05015-11 · Cited by 1,940
Phosphoinositides: Tiny Lipids With Giant Impact on Cell Regulation
Balla, T. (2013) · Physiological Reviews · doi:10.1152/physrev.00028.2012 · Cited by 1,638
Drug delivery systems for RNA therapeutics
Paunovska, K., Loughrey, D., & Dahlman, J. E. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00439-4 · Cited by 1,349
Godoy, P., Hewitt, N. J., Albrecht, U., Andersen, M. E., Ansari, N., Bhattacharya, S., Bode, J. G., Bolleyn, J., Borner, C., Böttger, J., et al. (2013) · Archives of Toxicology · doi:10.1007/s00204-013-1078-5 · Cited by 1,280
Lujambio, A., & Lowe, S. W. (2012) · Nature · doi:10.1038/nature10888 · Cited by 1,084
Prediction and prevention of the next pandemic zoonosis.
Morse, S. S., Mazet, J. A., Woolhouse, M., Parrish, C. R., Carroll, D., Karesh, W. B., Zambrana-Torrelio, C., Lipkin, W. I., & Daszak, P. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61684-5 · Cited by 1,070
Domingo, E., Sheldon, J., & Perales, C. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05023-11 · Cited by 1,009
Type I and Type III Interferons – Induction, Signaling, Evasion, and Application to Combat COVID-19
Park, A., & Iwasaki, A. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.05.008 · Cited by 909
RNA-Based Therapeutics: Current Progress and Future Prospects
Burnett, J. C., & Rossi, J. J. (2012) · Chemistry & Biology · doi:10.1016/j.chembiol.2011.12.008 · Cited by 819
ITPA gene variants protect against anaemia in patients treated for chronic hepatitis C
Fellay, J., Thompson, A. J., Ge, D., Gumbs, C. E., Urban, T. J., Shianna, K. V., Little, L. D., Qiu, P., Bertelsen, A. H., Watson, M., et al. (2010) · Nature · doi:10.1038/nature08825 · Cited by 441
A cryptic sensor for HIV-1 activates antiviral innate immunity in dendritic cells
Manel, N., Hogstad, B., Wang, Y., Levy, D. E., Unutmaz, D., & Littman, D. R. (2010) · Nature · doi:10.1038/nature09337 · Cited by 427
Double-Stranded RNA Sensors and Modulators in Innate Immunity
Hur, S. (2019) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042718-041356 · Cited by 420
Genetic dissection of Flaviviridae host factors through genome-scale CRISPR screens
Marceau, C. D., Puschnik, A. S., Majzoub, K., Ooi, Y. S., Brewer, S. M., Fuchs, G., Swaminathan, K., Mata, M. A., Elias, J. E., Sarnow, P., et al. (2016) · Nature · doi:10.1038/nature18631 · Cited by 411
MicroRNAs in neuronal function and dysfunction
Im, H.-I., & Kenny, P. J. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.01.004 · Cited by 399
Lipid nanoparticle technology for therapeutic gene regulation in the liver
Witzigmann, D., Kulkarni, J. A., Leung, J., Chen, S., Cullis, P. R., & van der Meel, R. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.06.026 · Cited by 376
Trials and Tribulations of MicroRNA Therapeutics
Seyhan, A. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031469 · Cited by 381
Targeting mi R‐155 restores abnormal microglia and attenuates disease in SOD 1 mice
Butovsky, O., Jedrychowski, M. P., Cialic, R., Krasemann, S., Murugaiyan, G., Fanek, Z., Greco, D. J., Wu, P. M., Doykan, C. E., Kiner, O., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24304 · Cited by 358
Endocytosis and signaling: Cell logistics shape the eukaryotic cell plan
Sigismund, S., Confalonieri, S., Ciliberto, A., Polo, S., Scita, G., & Di Fiore, P. P. (2012) · Physiological Reviews · doi:10.1152/physrev.00005.2011 · Cited by 338
Cell and tissue engineering for liver disease
Bhatia, S. N., Underhill, G. H., Zaret, K. S., & Fox, I. J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3005975 · Cited by 309
From guide to target: molecular insights into eukaryotic RNA-interference machinery
Ipsaro, J. J., & Joshua-Tor, L. (2015) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2931 · Cited by 281
Regulation of hepatic innate immunity by hepatitis C virus
Horner, S. M., & Gale, M. (2013) · Nature Medicine · doi:10.1038/nm.3253 · Cited by 278
MicroRNAs shape the neuronal landscape
McNeill, E., & Van Vactor, D. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.005 · Cited by 274
Role of microRNAs in diabetes and its cardiovascular complications
Shantikumar, S., Caporali, A., & Emanueli, C. (2012) · Cardiovascular Research · doi:10.1093/cvr/cvr300 · Cited by 263
de Wispelaere, M., Du, G., Donovan, K. A., Zhang, T., Eleuteri, N. A., Yuan, J. C., Kalabathula, J., Nowak, R. P., Fischer, E. S., Gray, N. S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11429-w · Cited by 237
MicroRNA-based therapeutics in central nervous system injuries
Sun, P., Liu, D. Z., Jickling, G. C., Sharp, F. R., & Yin, K.-J. (2018) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x18773871 · Cited by 228
Rodrigues, M., Fan, J., Lyon, C., Wan, M., & Hu, Y. (2018) · Theranostics · doi:10.7150/thno.20576 · Cited by 191
Tulloch, F., Atkinson, N. J., Evans, D. J., Ryan, M. D., & Simmonds, P. (2014) · eLife · doi:10.7554/elife.04531 · Cited by 178
Antisense oligonucleotides: treating neurodegeneration at the level of RNA
DeVos, S. L., & Miller, T. M. (2013) · Neurotherapeutics · doi:10.1007/s13311-013-0194-5 · Cited by 164
High-Throughput Analysis Reveals Rules for Target RNA Binding and Cleavage by AGO2
Becker, W. R., Ober-Reynolds, B., Jouravleva, K., Jolly, S. M., Zamore, P. D., & Greenleaf, W. J. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.06.012 · Cited by 161
Mann, D. A. (2014) · Hepatology · doi:10.1002/hep.27131 · Cited by 153
RETRACTED ARTICLE: LRRK2 kinase regulates α-synuclein propagation via RAB35 phosphorylation
Bae, E.-J., Kim, D.-K., Kim, C., Mante, M., Adame, A., Rockenstein, E., Ulusoy, A., Klinkenberg, M., Jeong, G. R., Bae, J. R., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05958-z · Cited by 149
RetractedDepression and chronic liver diseases: are there shared underlying mechanisms?
Huang, X., Liu, X., & Yu, Y. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00134 · Cited by 121
Sène, D., Levasseur, F., Abel, M., Lambert, M., Camous, X., Hernandez, C., Pène, V., Rosenberg, A. R., Jouvin-Marche, E., Marche, P. N., et al. (2010) · PLoS Pathogens · doi:10.1371/journal.ppat.1001184 · Cited by 113
Smith, D. J., Combellick, J., Jordan, A. E., & Hagan, H. (2015) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2015.07.004 · Cited by 104
Extracellular vesicles as personalized medicine
Beetler, D. J., Di Florio, D. N., Bruno, K. A., Ikezu, T., March, K. L., Cooper, L. T., Wolfram, J., & Fairweather, D. (2023) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2022.101155 · Cited by 101
Targeted deletion of miR-132/-212 impairs memory and alters the hippocampal transcriptome
Hansen, K. F., Sakamoto, K., Aten, S., Price, K. H., Loeser, J., Hesse, A. M., Page, C. E., Pelz, C., Arthur, J. S. C., Impey, S., et al. (2016) · Learning & Memory · doi:10.1101/lm.039578.115 · Cited by 100
microRNAs in lipoprotein metabolism and cardiometabolic disorders
Rotllan, N., Price, N., Pati, P., Goedeke, L., & Fernández-Hernando, C. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.01.025 · Cited by 100
Convergent evolution of escape from hepaciviral antagonism in primates
Patel, M. R., Loo, Y.-M., Horner, S. M., Gale, M., & Malik, H. S. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001282 · Cited by 95
Advances in hepatitis C therapy: what is the current state - what come's next?
Zopf, S. (2016) · World Journal of Hepatology · doi:10.4254/wjh.v8.i3.139 · Cited by 91
Carpentier, A., Nimgaonkar, I., Chu, V., Xia, Y., Hu, Z., & Liang, T. J. (2016) · Stem Cell Research · doi:10.1016/j.scr.2016.03.009 · Cited by 90
GPS-Prot: A web-based visualization platform for integrating host-pathogen interaction data
Fahey, M. E., Bennett, M. J., Mahon, C., Jäger, S., Pache, L., Kumar, D., Shapiro, A., Rao, K., Chanda, S. K., Craik, C. S., et al. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-298 · Cited by 87
MicroRNA‐122 regulates polyploidization in the murine liver
Hsu, S., Delgado, E. R., Otero, P. A., Teng, K., Kutay, H., Meehan, K. M., Moroney, J. B., Monga, J. K., Hand, N. J., Friedman, J. R., et al. (2016) · Hepatology · doi:10.1002/hep.28573 · Cited by 84
Luna, J. M., Barajas, J. M., Teng, K.-Y., Sun, H.-L., Moore, M. J., Rice, C. M., Darnell, R. B., & Ghoshal, K. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.06.025 · Cited by 80
Noncoding RNAs regulate NF-κB signaling to modulate blood vessel inflammation
Cheng, H. S., Njock, M.-S., Khyzha, N., Dang, L. T., & Fish, J. E. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00422 · Cited by 69
Tay, H. L., Kaiko, G. E., Plank, M., Li, J., Maltby, S., Essilfie, A.-T., Jarnicki, A., Yang, M., Mattes, J., Hansbro, P. M., et al. (2015) · PLOS Pathogens · doi:10.1371/journal.ppat.1004549 · Cited by 67
Omics for Bioprospecting and Drug Discovery from Bacteria and Microalgae
Maghembe, R., Damian, D., Makaranga, A., Nyandoro, S. S., Lyantagaye, S. L., Kusari, S., & Hatti-Kaul, R. (2020) · Antibiotics · doi:10.3390/antibiotics9050229 · Cited by 66
Saha, B., Kodys, K., & Szabo, G. (2016) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2015.12.005 · Cited by 65
Vitale, G. A., Geibel, C., Minda, V., Wang, M., Aron, A. T., & Petras, D. (2024) · Natural Product Reports · doi:10.1039/d3np00050h · Cited by 66
Mukherjee, A., Morosky, S. A., Shen, L., Weber, C. R., Turner, J. R., Kim, K. S., Wang, T., & Coyne, C. B. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m807547200 · Cited by 62
Gerold, G., Meissner, F., Bruening, J., Welsch, K., Perin, P. M., Baumert, T. F., Vondran, F. W., Kaderali, L., Marcotrigiano, J., Khan, A. G., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.06.063 · Cited by 60
Self-citationDesign and potential of non-integrating lentiviral vectors
Shaw, A., & Cornetta, K. (2014) · Biomedicines · doi:10.3390/biomedicines2010014 · Cited by 60
Temporal control of the integrated stress response by a stochastic molecular switch
Klein, P., Kallenberger, S. M., Roth, H., Roth, K., Ly-Hartig, T. B. N., Magg, V., Aleš, J., Talemi, S. R., Qiang, Y., Wolf, S., et al. (2022) · Science Advances · doi:10.1126/sciadv.abk2022 · Cited by 50
The Interaction of Viruses with the Cellular Senescence Response
Seoane, R., Vidal, S., Bouzaher, Y. H., El Motiam, A., & Rivas, C. (2020) · Biology · doi:10.3390/biology9120455 · Cited by 49
“Autoimmune(-Like)” drug and herb induced liver injury: new insights into molecular pathogenesis
Sebode, M., Schulz, L., & Lohse, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18091954 · Cited by 47
Leprêtre, A., Ba, I., Lacombe, K., Maynart, M., Toufik, A., Ndiaye, O., Kane, C. T., Gozlan, J., Tine, J., Ndoye, I., et al. (2015) · Journal of the International AIDS Society · doi:10.7448/ias.18.1.19888 · Cited by 41
miRNA regulation of LDL-cholesterol metabolism
Goedeke, L., Wagschal, A., Fernández-Hernando, C., & Näär, A. M. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2016.03.007 · Cited by 39
Mitchell, J. K., Midkiff, B. R., Israelow, B., Evans, M. J., Lanford, R. E., Walker, C. M., Lemon, S. M., & McGivern, D. R. (2017) · mBio · doi:10.1128/mbio.00121-17 · Cited by 38
LDL Receptor Pathway Regulation by miR-224 and miR-520d
Salerno, A. G., van Solingen, C., Scotti, E., Wanschel, A. C. B. A., Afonso, M. S., Oldebeken, S. R., Spiro, W., Tontonoz, P., Rayner, K. J., & Moore, K. J. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00081 · Cited by 33
Suzuki, T., Kikuguchi, C., Nishijima, S., Nagashima, T., Takahashi, A., Okada, M., & Yamamoto, T. (2019) · Development · doi:10.1242/dev.168146 · Cited by 28
The Genetics of Primary Biliary Cholangitis: A GWAS and Post-GWAS Update
Hitomi, Y., & Nakamura, M. (2023) · Genes · doi:10.3390/genes14020405 · Cited by 26
MicroRNA-124 promotes hepatic triglyceride accumulation through targeting tribbles homolog 3
Liu, X., Zhao, J., Liu, Q., Xiong, X., Zhang, Z., Jiao, Y., Li, X., Liu, B., Li, Y., & Lu, Y. (2016) · Scientific Reports · doi:10.1038/srep37170 · Cited by 25
Batrouni, A. G., Bag, N., Phan, H. T., Baird, B. A., & Baskin, J. M. (2022) · Journal of Cell Science · doi:10.1242/jcs.259365 · Cited by 24
Methods for in vitro CRISPR/CasRx-Mediated RNA Editing
Chuang, Y.-F., Wang, P.-Y., Kumar, S., Lama, S., Lin, F.-L., & Liu, G.-S. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.667879 · Cited by 21
Xu, J., Xu, P., Wu, M., Chen, H., Xu, J., Wu, M., Li, M., & Qian, F. (2016) · OncoTargets and Therapy · doi:10.2147/ott.s91748 · Cited by 20
Alternative Cell Sources for Liver Parenchyma Repopulation: Where Do We Stand?
Tricot, T., De Boeck, J., & Verfaillie, C. (2020) · Cells · doi:10.3390/cells9030566 · Cited by 20
Capella-Pujol, J., de Gast, M., Radić, L., Zon, I., Chumbe, A., Koekkoek, S., Olijhoek, W., Schinkel, J., van Gils, M. J., Sanders, R. W., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39690-0 · Cited by 12
Takacs, C. N., Andreo, U., Belote, R. L., Pulupa, J., Scull, M. A., Gleason, C. E., Rice, C. M., & Simon, S. M. (2017) · Traffic · doi:10.1111/tra.12467 · Cited by 10
C. elegans Dicer acts with the RIG-I-like helicase DRH-1 and RDE-4 to cleave dsRNA
Consalvo, C. D., Aderounmu, A. M., Donelick, H. M., Aruscavage, P. J., Eckert, D. M., Shen, P. S., & Bass, B. L. (2023) · doi:10.1101/2023.09.21.558868 · Cited by 1
Metadata
- Authors
- Gerold, G., & Pietschmann, T.
- Venue
- Digestive Diseases
- Publisher
- S. Karger AG
- Published
- 2014
- Volume
- 32
- Issue
- 5
- Pages
- 525-537
- ISSN
- 0257-2753 (ISSN-L)
- 1421-9875
- OpenAlex
- W2022687771
- Cited by
- 4,854
- References
- 20
- FWCI
- 303.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
