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Volumn 29, Issue , 2018, Pages 39-50

The use of single-cell RNA-Seq to understand virus–host interactions

Author keywords

[No Author keywords available]

Indexed keywords

RNA; TRANSCRIPTOME; VIRUS RNA;

EID: 85043984106     PISSN: 18796257     EISSN: 18796265     Source Type: Journal    
DOI: 10.1016/j.coviro.2018.03.001     Document Type: Review
Times cited : (44)

References (71)
  • 2
    • 85052065143 scopus 로고    scopus 로고
    • Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences
    • Manzoni, C., Kia, D.A., Vandrovcova, J., Hardy, J., Wood, N.W., Lewis, P.A., Ferrari, R., Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences. Brief Bioinform, 2016, 1–17, 10.1093/bib/bbw114.
    • (2016) Brief Bioinform , pp. 1-17
    • Manzoni, C.1    Kia, D.A.2    Vandrovcova, J.3    Hardy, J.4    Wood, N.W.5    Lewis, P.A.6    Ferrari, R.7
  • 3
    • 85027696020 scopus 로고    scopus 로고
    • A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
    • This review presents a practical guide to help researchers design a scRNA-Seq study. It provides a simple overview of the scRNA-Seq procedure as well as a comparison between the scRNA-Seq workflows available to date.
    • Haque, A., Engel, J., Teichmann, S.A., Lonnberg, T., A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications. Genome Med, 9, 2017, 75 This review presents a practical guide to help researchers design a scRNA-Seq study. It provides a simple overview of the scRNA-Seq procedure as well as a comparison between the scRNA-Seq workflows available to date.
    • (2017) Genome Med , vol.9 , pp. 75
    • Haque, A.1    Engel, J.2    Teichmann, S.A.3    Lonnberg, T.4
  • 4
    • 79953826567 scopus 로고    scopus 로고
    • Next-generation sequencing and its applications in molecular diagnostics
    • Su, Z., Ning, B., Fang, H., Hong, H., Perkins, R., Tong, W., Shi, L., Next-generation sequencing and its applications in molecular diagnostics. Exp Rev Mol Diagn 11 (2011), 333–343.
    • (2011) Exp Rev Mol Diagn , vol.11 , pp. 333-343
    • Su, Z.1    Ning, B.2    Fang, H.3    Hong, H.4    Perkins, R.5    Tong, W.6    Shi, L.7
  • 5
    • 84947648658 scopus 로고    scopus 로고
    • Next-generation technologies for multiomics approaches including interactome sequencing
    • Ohashi, H., Hasegawa, M., Wakimoto, K., Miyamoto-Sato, E., Next-generation technologies for multiomics approaches including interactome sequencing. BioMed Res Int, 2015, 104209.
    • (2015) BioMed Res Int , pp. 104209
    • Ohashi, H.1    Hasegawa, M.2    Wakimoto, K.3    Miyamoto-Sato, E.4
  • 6
    • 85027577153 scopus 로고    scopus 로고
    • Clinical multi-omics strategies for the effective cancer management
    • [Epub ahead of print]
    • Yoo, B.C., Kim, K.H., Woo, S.M., Myung, J.K., Clinical multi-omics strategies for the effective cancer management. J Proteomics, 2017, 10.1016/j.jprot.2017.08.010 [Epub ahead of print].
    • (2017) J Proteomics
    • Yoo, B.C.1    Kim, K.H.2    Woo, S.M.3    Myung, J.K.4
  • 7
    • 84925620134 scopus 로고    scopus 로고
    • Transcriptomics and proteomics in stem cell research
    • Wang, H., Zhang, Q., Fang, X., Transcriptomics and proteomics in stem cell research. Front Med 8 (2014), 433–444.
    • (2014) Front Med , vol.8 , pp. 433-444
    • Wang, H.1    Zhang, Q.2    Fang, X.3
  • 8
    • 84875150197 scopus 로고    scopus 로고
    • High throughput genomic and proteomic technologies in the fight against infectious diseases
    • Alessandro Tanca, M.D., Maria Filippa Addis, Sergio Uzzau, High throughput genomic and proteomic technologies in the fight against infectious diseases. J Infect Dev Ctries 7 (2013), 182–190.
    • (2013) J Infect Dev Ctries , vol.7 , pp. 182-190
    • Alessandro Tanca, M.D.1    Addis, M.F.2    Uzzau, S.3
  • 9
    • 85016256763 scopus 로고    scopus 로고
    • Proteomics and integrative omic approaches for understanding host–pathogen interactions and infectious diseases
    • Jean Beltran, P.M., Federspiel, J.D., Sheng, X., Cristea, I.M., Proteomics and integrative omic approaches for understanding host–pathogen interactions and infectious diseases. Mol Syst Biol, 13, 2017, 922.
    • (2017) Mol Syst Biol , vol.13 , pp. 922
    • Jean Beltran, P.M.1    Federspiel, J.D.2    Sheng, X.3    Cristea, I.M.4
  • 11
    • 85020119360 scopus 로고    scopus 로고
    • Precision medicine: genomic profiles to individualize therapy
    • Streeter, O.E., Beron, P.J., Iyer, P.N., Precision medicine: genomic profiles to individualize therapy. Otolaryngol Clin North Am 50 (2017), 765–773.
    • (2017) Otolaryngol Clin North Am , vol.50 , pp. 765-773
    • Streeter, O.E.1    Beron, P.J.2    Iyer, P.N.3
  • 12
    • 85029738815 scopus 로고    scopus 로고
    • Single-cell analyses to tailor treatments
    • Shalek, A.K., Benson, M., Single-cell analyses to tailor treatments. Sci Transl Med, 9, 2017.
    • (2017) Sci Transl Med , vol.9
    • Shalek, A.K.1    Benson, M.2
  • 13
    • 77952474987 scopus 로고    scopus 로고
    • Cellular heterogeneity: do differences make a difference?
    • Global description of the concept of cell heterogeneity and the utility of single cell analysis.
    • Altschuler, S.J., Wu, L.F., Cellular heterogeneity: do differences make a difference?. Cell 141 (2010), 559–563 Global description of the concept of cell heterogeneity and the utility of single cell analysis.
    • (2010) Cell , vol.141 , pp. 559-563
    • Altschuler, S.J.1    Wu, L.F.2
  • 14
    • 84965129162 scopus 로고    scopus 로고
    • Single-cell genomics for virology
    • Overview of studies in virology using single-cell sequencing technologies.
    • Ciuffi, A., Rato, S., Telenti, A., Single-cell genomics for virology. Viruses, 8, 2016 Overview of studies in virology using single-cell sequencing technologies.
    • (2016) Viruses , vol.8
    • Ciuffi, A.1    Rato, S.2    Telenti, A.3
  • 16
    • 85040827444 scopus 로고    scopus 로고
    • Tumour heterogeneity and resistance to cancer therapies
    • Dagogo-Jack, I., Shaw, A.T., Tumour heterogeneity and resistance to cancer therapies. Nat Rev Clin Oncol 15 (2018), 81–94, 10.1038/nrclinonc.2017.166.
    • (2018) Nat Rev Clin Oncol , vol.15 , pp. 81-94
    • Dagogo-Jack, I.1    Shaw, A.T.2
  • 17
    • 84929661801 scopus 로고    scopus 로고
    • Advances and applications of single-cell sequencing technologies
    • Wang, Y., Navin, N.E., Advances and applications of single-cell sequencing technologies. Mol Cell 58 (2015), 598–609.
    • (2015) Mol Cell , vol.58 , pp. 598-609
    • Wang, Y.1    Navin, N.E.2
  • 18
    • 85029718238 scopus 로고    scopus 로고
    • Tools for genomic and transcriptomic analysis of microbes at single-cell level
    • Chen, Z., Chen, L., Zhang, W., Tools for genomic and transcriptomic analysis of microbes at single-cell level. Front Microbiol, 8, 2017, 1831.
    • (2017) Front Microbiol , vol.8 , pp. 1831
    • Chen, Z.1    Chen, L.2    Zhang, W.3
  • 20
    • 85046793991 scopus 로고    scopus 로고
    • Meta-analytic principal component analysis in integrative omics application
    • [Epub ahead of print]
    • Kim, S., Kang, D., Huo, Z., Park, Y., Tseng, G.C., Meta-analytic principal component analysis in integrative omics application. Bioinformatics, 2017, 10.1093/bioinformatics/btx765 [Epub ahead of print].
    • (2017) Bioinformatics
    • Kim, S.1    Kang, D.2    Huo, Z.3    Park, Y.4    Tseng, G.C.5
  • 21
    • 85020417460 scopus 로고    scopus 로고
    • Techniques for single-molecule mRNA imaging in living cells
    • R. Delgado-Morales Springer International Publishing
    • Czaplinski K: Techniques for single-molecule mRNA imaging in living cells. Delgado-Morales, R., (eds.) Neuroepigenomics in Aging and Disease, 2017, Springer International Publishing, 425–441.
    • (2017) Neuroepigenomics in Aging and Disease , pp. 425-441
    • Czaplinski K:1
  • 22
    • 85026450067 scopus 로고    scopus 로고
    • Technical aspects and recommendations for single-cell qPCR
    • Stahlberg, A., Kubista, M., Technical aspects and recommendations for single-cell qPCR. Mol Aspects Med 59 (2018), 28–35, 10.1016/j.mam.2017.07.004.
    • (2018) Mol Aspects Med , vol.59 , pp. 28-35
    • Stahlberg, A.1    Kubista, M.2
  • 23
    • 85026498342 scopus 로고    scopus 로고
    • Single-cell RNA sequencing: technical advancements and biological applications
    • Hedlund, E., Deng, Q., Single-cell RNA sequencing: technical advancements and biological applications. Mol Aspects Med 59 (2018), 36–46, 10.1016/j.mam.2017.07.003.
    • (2018) Mol Aspects Med , vol.59 , pp. 36-46
    • Hedlund, E.1    Deng, Q.2
  • 24
    • 85043529587 scopus 로고    scopus 로고
    • Experimental design for single-cell RNA sequencing
    • [Epub ahead of print]
    • Baran-Gale, J., Chandra, T., Kirschner, K., Experimental design for single-cell RNA sequencing. Brief Funct Genom, 2017, 10.1093/bfgp/elx035 [Epub ahead of print].
    • (2017) Brief Funct Genom
    • Baran-Gale, J.1    Chandra, T.2    Kirschner, K.3
  • 27
    • 85006320653 scopus 로고    scopus 로고
    • Exploring viral infection using single-cell sequencing
    • Rato, S., Golumbeanu, M., Telenti, A., Ciuffi, A., Exploring viral infection using single-cell sequencing. Virus Res 239 (2017), 55–68.
    • (2017) Virus Res , vol.239 , pp. 55-68
    • Rato, S.1    Golumbeanu, M.2    Telenti, A.3    Ciuffi, A.4
  • 29
    • 84958606331 scopus 로고    scopus 로고
    • Single-cell genome sequencing: current state of the science
    • Gawad, C., Koh, W., Quake, S.R., Single-cell genome sequencing: current state of the science. Nat Rev Genet 17 (2016), 175–188.
    • (2016) Nat Rev Genet , vol.17 , pp. 175-188
    • Gawad, C.1    Koh, W.2    Quake, S.R.3
  • 30
    • 85017139529 scopus 로고    scopus 로고
    • Scaling by shrinking: empowering single-cell ‘omics’ with microfluidic devices
    • Description of current state-of-the-art methodologies to isolate single cells using microfluidics for mammalian single-cell ‘omics’ analyses.
    • Prakadan, S.M., Shalek, A.K., Weitz, D.A., Scaling by shrinking: empowering single-cell ‘omics’ with microfluidic devices. Nat Rev Genet 18 (2017), 345–361 Description of current state-of-the-art methodologies to isolate single cells using microfluidics for mammalian single-cell ‘omics’ analyses.
    • (2017) Nat Rev Genet , vol.18 , pp. 345-361
    • Prakadan, S.M.1    Shalek, A.K.2    Weitz, D.A.3
  • 31
    • 84937703271 scopus 로고    scopus 로고
    • Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos
    • Fan, X., Zhang, X., Wu, X., Guo, H., Hu, Y., Tang, F., Huang, Y., Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos. Genome Biol, 16, 2015, 148.
    • (2015) Genome Biol , vol.16 , pp. 148
    • Fan, X.1    Zhang, X.2    Wu, X.3    Guo, H.4    Hu, Y.5    Tang, F.6    Huang, Y.7
  • 32
    • 85009809647 scopus 로고    scopus 로고
    • Effective detection of variation in single-cell transcriptomes using MATQ-seq
    • Sheng, K., Cao, W., Niu, Y., Deng, Q., Zong, C., Effective detection of variation in single-cell transcriptomes using MATQ-seq. Nat Methods 14 (2017), 267–270.
    • (2017) Nat Methods , vol.14 , pp. 267-270
    • Sheng, K.1    Cao, W.2    Niu, Y.3    Deng, Q.4    Zong, C.5
  • 34
    • 85016502865 scopus 로고    scopus 로고
    • UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy
    • Smith, T., Heger, A., Sudbery, I., UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy. Genome Res 27 (2017), 491–499.
    • (2017) Genome Res , vol.27 , pp. 491-499
    • Smith, T.1    Heger, A.2    Sudbery, I.3
  • 35
    • 84946226911 scopus 로고    scopus 로고
    • Design and analysis of single-cell sequencing experiments
    • Grun, D., van Oudenaarden, A., Design and analysis of single-cell sequencing experiments. Cell 163 (2015), 799–810.
    • (2015) Cell , vol.163 , pp. 799-810
    • Grun, D.1    van Oudenaarden, A.2
  • 36
    • 84929687805 scopus 로고    scopus 로고
    • The technology and biology of single-cell RNA sequencing
    • Nice and comprehensive review about the whole scRNA-Seq pipeline.
    • Kolodziejczyk, A.A., Kim, J.K., Svensson, V., Marioni, J.C., Teichmann, S.A., The technology and biology of single-cell RNA sequencing. Mol Cell 58 (2015), 610–620 Nice and comprehensive review about the whole scRNA-Seq pipeline.
    • (2015) Mol Cell , vol.58 , pp. 610-620
    • Kolodziejczyk, A.A.1    Kim, J.K.2    Svensson, V.3    Marioni, J.C.4    Teichmann, S.A.5
  • 37
    • 84978951918 scopus 로고    scopus 로고
    • Single-cell RNA-sequencing: the future of genome biology is now
    • Description of the diverse methods used to generate the scRNA-Seq libraries.
    • Picelli, S., Single-cell RNA-sequencing: the future of genome biology is now. RNA Biol 14 (2017), 637–650 Description of the diverse methods used to generate the scRNA-Seq libraries.
    • (2017) RNA Biol , vol.14 , pp. 637-650
    • Picelli, S.1
  • 38
    • 85021301728 scopus 로고    scopus 로고
    • Computational approaches for interpreting scRNA-seq data
    • The authors discuss a few examples of biological questions that can be investigated using scRNA-Seq approaches and the computational tools available to analyze and address them.
    • Rostom, R., Svensson, V., Teichmann, S.A., Kar, G., Computational approaches for interpreting scRNA-seq data. FEBS Lett 591 (2017), 2213–2225 The authors discuss a few examples of biological questions that can be investigated using scRNA-Seq approaches and the computational tools available to analyze and address them.
    • (2017) FEBS Lett , vol.591 , pp. 2213-2225
    • Rostom, R.1    Svensson, V.2    Teichmann, S.A.3    Kar, G.4
  • 39
    • 84960414882 scopus 로고    scopus 로고
    • Passive noise filtering by cellular compartmentalization
    • Stoeger, T., Battich, N., Pelkmans, L., Passive noise filtering by cellular compartmentalization. Cell 164 (2016), 1151–1161.
    • (2016) Cell , vol.164 , pp. 1151-1161
    • Stoeger, T.1    Battich, N.2    Pelkmans, L.3
  • 40
    • 85029746711 scopus 로고    scopus 로고
    • Single molecule counting and assessment of random molecular tagging errors with transposable giga-scale error-correcting barcodes
    • Lau, B.T., Ji, H.P., Single molecule counting and assessment of random molecular tagging errors with transposable giga-scale error-correcting barcodes. BMC Genom, 18, 2017, 745.
    • (2017) BMC Genom , vol.18 , pp. 745
    • Lau, B.T.1    Ji, H.P.2
  • 42
    • 85043984302 scopus 로고    scopus 로고
    • Single cell sequencing made simple
    • J.M.P., Single cell sequencing made simple. Nature, 547, 2017, 7661.
    • (2017) Nature , vol.547 , pp. 7661
    • J.M.P.1
  • 43
    • 84962658087 scopus 로고    scopus 로고
    • Design and computational analysis of single-cell RNA-sequencing experiments
    • Overview of computational methods available for the design and statistical analysis of scRNA-seq experiments, as well as their advantages and disadvantages.
    • Bacher, R., Kendziorski, C., Design and computational analysis of single-cell RNA-sequencing experiments. Genome Biol, 17, 2016, 63 Overview of computational methods available for the design and statistical analysis of scRNA-seq experiments, as well as their advantages and disadvantages.
    • (2016) Genome Biol , vol.17 , pp. 63
    • Bacher, R.1    Kendziorski, C.2
  • 44
    • 84992163193 scopus 로고    scopus 로고
    • Single-cell transcriptomics bioinformatics and computational challenges
    • Poirion, O.B., Zhu, X., Ching, T., Garmire, L., Single-cell transcriptomics bioinformatics and computational challenges. Front Genet, 7, 2016, 163.
    • (2016) Front Genet , vol.7 , pp. 163
    • Poirion, O.B.1    Zhu, X.2    Ching, T.3    Garmire, L.4
  • 45
    • 84923647450 scopus 로고    scopus 로고
    • Computational and analytical challenges in single-cell transcriptomics
    • Overview of computational challenges in scRNA-seq analyses and available bioinformatic tools to address them.
    • Stegle, O., Teichmann, S.A., Marioni, J.C., Computational and analytical challenges in single-cell transcriptomics. Nat Rev Genet 16 (2015), 133–145 Overview of computational challenges in scRNA-seq analyses and available bioinformatic tools to address them.
    • (2015) Nat Rev Genet , vol.16 , pp. 133-145
    • Stegle, O.1    Teichmann, S.A.2    Marioni, J.C.3
  • 46
    • 84959890672 scopus 로고    scopus 로고
    • Bioinformatics approaches to single-cell analysis in developmental biology
    • Yalcin, D., Hakguder, Z.M., Otu, H.H., Bioinformatics approaches to single-cell analysis in developmental biology. Mol Hum Reprod 22 (2016), 182–192.
    • (2016) Mol Hum Reprod , vol.22 , pp. 182-192
    • Yalcin, D.1    Hakguder, Z.M.2    Otu, H.H.3
  • 47
    • 84887200190 scopus 로고    scopus 로고
    • Determining the cellular diversity of hepatitis C virus quasispecies by single-cell viral sequencing
    • McWilliam Leitch, E.C., McLauchlan, J., Determining the cellular diversity of hepatitis C virus quasispecies by single-cell viral sequencing. J Virol 87 (2013), 12648–12655.
    • (2013) J Virol , vol.87 , pp. 12648-12655
    • McWilliam Leitch, E.C.1    McLauchlan, J.2
  • 48
    • 84979527217 scopus 로고    scopus 로고
    • Full-length single-cell RNA-seq applied to a viral human cancer: applications to HPV expression and splicing analysis in HeLa S3 cells
    • Wu, L., Zhang, X., Zhao, Z., Wang, L., Li, B., Li, G., Dean, M., Yu, Q., Wang, Y., Lin, X., et al. Full-length single-cell RNA-seq applied to a viral human cancer: applications to HPV expression and splicing analysis in HeLa S3 cells. GigaScience, 4, 2015, 51.
    • (2015) GigaScience , vol.4 , pp. 51
    • Wu, L.1    Zhang, X.2    Zhao, Z.3    Wang, L.4    Li, B.5    Li, G.6    Dean, M.7    Yu, Q.8    Wang, Y.9    Lin, X.10
  • 50
    • 69849090252 scopus 로고    scopus 로고
    • Screening individual hybridomas by microengraving to discover monoclonal antibodies
    • Ogunniyi, A.O., Story, C.M., Papa, E., Guillen, E., Love, J.C., Screening individual hybridomas by microengraving to discover monoclonal antibodies. Nat Protoc 4 (2009), 767–782.
    • (2009) Nat Protoc , vol.4 , pp. 767-782
    • Ogunniyi, A.O.1    Story, C.M.2    Papa, E.3    Guillen, E.4    Love, J.C.5
  • 54
    • 85022187594 scopus 로고    scopus 로고
    • Lack of human cytomegalovirus expression in single cells from glioblastoma tumors and cell lines
    • Johnson, T.S., Abrams, Z.B., Mo, X., Zhang, Y., Huang, K., Lack of human cytomegalovirus expression in single cells from glioblastoma tumors and cell lines. J Neurovirol 23 (2017), 671–678.
    • (2017) J Neurovirol , vol.23 , pp. 671-678
    • Johnson, T.S.1    Abrams, Z.B.2    Mo, X.3    Zhang, Y.4    Huang, K.5
  • 57
    • 85033226512 scopus 로고    scopus 로고
    • Single-cell analysis identifies cellular markers of the HIV permissive cell
    • Rato, S., Rausell, A., Munoz, M., Telenti, A., Ciuffi, A., Single-cell analysis identifies cellular markers of the HIV permissive cell. PLoS Pathogens, 13, 2017, e1006678.
    • (2017) PLoS Pathogens , vol.13 , pp. e1006678
    • Rato, S.1    Rausell, A.2    Munoz, M.3    Telenti, A.4    Ciuffi, A.5
  • 59
    • 85009892700 scopus 로고    scopus 로고
    • Dendritic cell immune responses in HIV-1 controllers
    • Martin-Gayo, E., Yu, X.G., Dendritic cell immune responses in HIV-1 controllers. Curr HIV/AIDS Rep 14 (2017), 1–7.
    • (2017) Curr HIV/AIDS Rep , vol.14 , pp. 1-7
    • Martin-Gayo, E.1    Yu, X.G.2
  • 61
    • 67349146589 scopus 로고    scopus 로고
    • mRNA-Seq whole-transcriptome analysis of a single cell
    • First study of the transcriptome of a single cell, implementing the first scRNA-Seq method.
    • Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B.B., Siddiqui, A., et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods 6 (2009), 377–382 First study of the transcriptome of a single cell, implementing the first scRNA-Seq method.
    • (2009) Nat Methods , vol.6 , pp. 377-382
    • Tang, F.1    Barbacioru, C.2    Wang, Y.3    Nordman, E.4    Lee, C.5    Xu, N.6    Wang, X.7    Bodeau, J.8    Tuch, B.B.9    Siddiqui, A.10
  • 62
    • 84876085773 scopus 로고    scopus 로고
    • Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity
    • Sasagawa, Y., Nikaido, I., Hayashi, T., Danno, H., Uno, K.D., Imai, T., Ueda, H.R., Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity. Genome Biol, 14, 2013, R31.
    • (2013) Genome Biol , vol.14 , pp. R31
    • Sasagawa, Y.1    Nikaido, I.2    Hayashi, T.3    Danno, H.4    Uno, K.D.5    Imai, T.6    Ueda, H.R.7
  • 68
    • 84866953427 scopus 로고    scopus 로고
    • CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification
    • Hashimshony, T., Wagner, F., Sher, N., Yanai, I., CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Rep 2 (2012), 666–673.
    • (2012) Cell Rep , vol.2 , pp. 666-673
    • Hashimshony, T.1    Wagner, F.2    Sher, N.3    Yanai, I.4


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