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Global landscape of HIV–human protein complexes
Open accessAbstract
Human immunodeficiency virus (HIV) has a small genome and therefore relies heavily on the host cellular machinery to replicate. Identifying which host proteins and complexes come into physical contact with the viral proteins is crucial for a comprehensive understanding of how HIV rewires the host's cellular machinery during the course of infection. Here we report the use of affinity tagging and purification mass spectrometry to determine systematically the physical interactions of all 18 HIV-1 proteins and polyproteins with host proteins in two different human cell lines (HEK293 and Jurkat). Using a quantitative scoring system that we call MiST, we identified with high confidence 497 HIV-human protein-protein interactions involving 435 individual human proteins, with ∼40% of the interactions being identified in both cell types. We found that the host proteins hijacked by HIV, especially those found interacting in both cell types, are highly conserved across primates. We uncovered a number of host complexes targeted by viral proteins, including the finding that HIV protease cleaves eIF3d, a subunit of eukaryotic translation initiation factor 3. This host protein is one of eleven identified in this analysis that act to inhibit HIV replication. This data set facilitates a more comprehensive and detailed understanding of how the host machinery is manipulated during the course of HIV infection.
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In the citing paper
“In recent years, cellular factors interacting with HIV-1 proteins and RNAs have been identified using proteomic approaches (122-124).”
From Role of host tRNAs and aminoacyl-tRNA synthetases in retroviral replication (2019) · cites this paper as [122]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“The MA domain of Gag is a major interaction partner of the MSC, and MA has also been reported to interact with a few non-MSC ARSs (Table 1) (122).”
From Role of host tRNAs and aminoacyl-tRNA synthetases in retroviral replication (2019) · cites this paper as [122]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“| Interacts with HIV-1 5ЈUTR | ArgRS a , EPRS a | 122 |”
From Role of host tRNAs and aminoacyl-tRNA synthetases in retroviral replication (2019) · cites this paper as [122]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“| Interacts with RSV 5ЈUTR | LysRS a , SerRS2 | 122 |”
From Role of host tRNAs and aminoacyl-tRNA synthetases in retroviral replication (2019) · cites this paper as [122]
Experimental — accuracy not yet measuredIn the citing paper
“For example, in a large-scale interactome study, all the viral proteins encoded by the HIV genome were individually expressed in 293 and Jurkat cells and subjected to TAP AP-MS analysis (61).”
From The Impact of Mass Spectrometry–Based Proteomics on Fundamental Discoveries in Virology (2014) · cites this paper as [61]
In the citing paper
“Moreover, 97 of 127 selected interactions were confirmed by reciprocal isolations, highlighting the confidence of this data set.”
From The Impact of Mass Spectrometry–Based Proteomics on Fundamental Discoveries in Virology (2014) · cites this paper as [61]
In the citing paper
“Almost 200 interactions were identified in both cell types.”
From The Impact of Mass Spectrometry–Based Proteomics on Fundamental Discoveries in Virology (2014) · cites this paper as [61]
In the citing paper
“Another interaction specificity predictor, MiST, distinguished high-confidence virus-host protein interactions of epitope-tagged HIV proteins individually expressed in human cells (61).”
From The Impact of Mass Spectrometry–Based Proteomics on Fundamental Discoveries in Virology (2014) · cites this paper as [61]
In the citing paper
“Using AP-MS, nearly 500 specific HIV–host protein interactions were identified”
From Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection (2016) · cites this paper as [54]
In the citing paper
“When eIF3d was knocked down via RNA interference, an additional 10 host factors were found to hinder HIV replication by means of virus–host protein interactions.”
From Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection (2016) · cites this paper as [54]
In the citing paper
“approximately 40% of which were prevalent in both cell types.”
From Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection (2016) · cites this paper as [54]
In the citing paper
“the observed overlap in interactions between HEK293 and Jurkat cells was limited.”
From Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection (2016) · cites this paper as [54]
In the citing paper
“A host subunit of eukaryotic translation initiation factor 3, eIF3d, was found to be targeted for cleavage by an HIV protease.”
From Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection (2016) · cites this paper as [54]
In the citing paper
“the comparison of HEK293 cells with Jurkat cells, which are immortalized CD4+ T cells commonly used in HIV-1 studies, helped to substantiate the potential biological relevance of the subset of protein associations identified in both human cell types.”
From Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection (2016) · cites this paper as [54]
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Cites
BioGRID: a general repository for interaction datasets
Stark, C. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj109 · Cited by 3,960
Global landscape of protein complexes in the yeast Saccharomyces cerevisiae
Krogan, N. J., Cagney, G., Yu, H., Zhong, G., Guo, X., Ignatchenko, A., Li, J., Pu, S., Datta, N., Tikuisis, A., et al. (2006) · Nature · doi:10.1038/nature04670 · Cited by 2,964
Self-citationProteome survey reveals modularity of the yeast cell machinery
Gavin, A., Aloy, P., Grandi, P., Krause, R., Böesche, M., Marzioch, M., Rau, C., Jensen, L. J., Bastuck, S., Dümpelfeld, B., et al. (2006) · Nature · doi:10.1038/nature04532 · Cited by 2,570
A Human Protein-Protein Interaction Network: A Resource for Annotating the Proteome
Stelzl, U., Worm, U., Lalowski, M. M., Haenig, C., Brembeck, F. H., Goehler, H., Strödicke, M., Zenkner, M., Schoenherr, A., Koeppen, S., et al. (2005) · Cell · doi:10.1016/j.cell.2005.08.029 · Cited by 2,433
The Structural Basis for 14-3-3:Phosphopeptide Binding Specificity
Yaffe, M. B., Rittinger, K., Volinia, S., Caron, P. R., Aitken, A., Leffers, H. C. B., Gamblin, S. J., Smerdon, S. J., & Cantley, L. C. (1997) · Cell · doi:10.1016/s0092-8674(00)80487-0 · Cited by 1,604
Defining the Human Deubiquitinating Enzyme Interaction Landscape
Sowa, M. E., Bennett, E. J., Gygi, S. P., & Harper, J. W. (2009) · Cell · doi:10.1016/j.cell.2009.04.042 · Cited by 1,523
Identification of host proteins required for HIV infection through a functional genomic screen
Brass, A. L., Dykxhoorn, D. M., Benita, Y., Yan, N., Engelman, A., Xavier, R. J., Lieberman, J., & Elledge, S. J. (2008) · Science · doi:10.1126/science.1152725 · Cited by 1,449
High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., Hirozane-Kishikawa, T., Gebreab, F., Li, N., Simonis, N., et al. (2008) · Science · doi:10.1126/science.1158684 · Cited by 1,392
CORUM: the comprehensive resource of mammalian protein complexes—2009
Ruepp, A., Wägele, B., Lechner, M., Brauner, B., Dunger-Kaltenbach, I., Fobo, G., Frishman, G., Montrone, C., & Mewes, H. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp914 · Cited by 1,299
Global Analysis of Host-Pathogen Interactions that Regulate Early-Stage HIV-1 Replication
König, R., Zhou, Y., Elleder, D., Diamond, T. L., Bonamy, G. M. C., Irelan, J. T., Chiang, C.-Y., Tu, B. P., De Jesus, P. D., Lilley, C. E., et al. (2008) · Cell · doi:10.1016/j.cell.2008.07.032 · Cited by 960
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Song, G., Lee, E. M., Pan, J., Xu, M., Rho, H., Cheng, Y., Whitt, N., Yang, S., Kouznetsova, J., Klumpp-Thomas, C. A., et al. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2020.06.016 · Cited by 14
Wang, Y., Duan, H., Yalikun, Y., Cheng, S., & Li, M. (2023) · Talanta · doi:10.1016/j.talanta.2023.125026 · Cited by 14
Serrano, L. R., Pelin, A., Arrey, T. N., Damoc, N. E., Richards, A., Zhou, Y. M., Lancaster, N. M., Peters-Clarke, T. M., Pashkova, A., Jang, G. Μ., et al. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c01040 · Cited by 14
Self-citationIntegrative avenues for exploring the dynamics and evolution of protein interaction networks
Diss, G., Filteau, M., Freschi, L., Leducq, J., Rochette, S., Torres‐Quiroz, F., & Landry, C. R. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2013.02.023 · Cited by 15
Proteomics in the investigation of HIV‐1 interactions with host proteins
Li, M. (2014) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.201400101 · Cited by 16
Exploring mitochondrial system properties of neurodegenerative diseases through interactome mapping
Vlasblom, J., Jin, K., Kassir, S., & Babu, M. (2013) · Journal of Proteomics · doi:10.1016/j.jprot.2013.11.008 · Cited by 14
Recent 5-Year Findings and Technological Advances in the Proteomic Study of HIV-Associated Disorders
Zhang, L., Jia, X., Jin, J., Lu, H., & Tan, Z. (2017) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.11.002 · Cited by 14
Systems Biology Modeling to Study Pathogen–Host Interactions
Cesur, M. F., & Durmuş, S. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7604-1_10 · Cited by 15
HSF1 Activation Can Restrict HIV Replication
Nekongo, E. E., Ponomarenko, A. I., Dewal, M. B., Butty, V. L., Browne, E. P., & Shoulders, M. D. (2020) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.0c00166 · Cited by 14
Oriol-Tordera, B., Esteve‐Codina, A., Berdasco, M., Rosás-Umbert, M., Gonçalves, E., Duran-Castells, C., Català‐Moll, F., Llano, A., Cedeño, S., Puertas, M. C., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.103956 · Cited by 14
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Volčič, M., Wiesmüller, L., & Kirchhoff, F. (2023) · Annual Review of Virology · doi:10.1146/annurev-virology-111821-100816 · Cited by 15
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Cohen, Y., & Stern‐Ginossar, N. (2014) · Seminars in Immunopathology · doi:10.1007/s00281-014-0443-7 · Cited by 14
Proteomic analysis of HIV–T cell interaction: an update
Kramer, G., Moerland, P. D., Jeeninga, R. E., Vlietstra, W. J., Ringrose, J. H., Byrman, C., Berkhout, B., & Speijer, D. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00240 · Cited by 14
Bushman, F. D., Barton, S., Bailey, A., Greig, C., Malani, N., Bandyopadhyay, S., Young, J. A. T., Chanda, S. K., & Krogan, N. J. (2012) · AIDS · doi:10.1097/qad.0b013e32835cb785 · Cited by 14
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Centazzo, M., Manganaro, L., & Alvisi, G. (2023) · Viruses · doi:10.3390/v15030712 · Cited by 14
Maven, B. E. J., Gifford, C. A., Weilert, M., González‐Terán, B., Hüttenhain, R., Pelonero, A., Ivey, K. N., Samse, K. M., Kwong, W., Gordon, D. E., et al. (2023) · Stem Cell Reports · doi:10.1016/j.stemcr.2023.09.014 · Cited by 13
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Sargeant, D. P., Deverasetty, S., Strong, C. L., Alaniz, I. J., Bartlett, A., Brandon, N. R., Brooks, S. B., Brown, F. A., Bufi, F., Chakarova, M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098810 · Cited by 13
Wang, Q., Zhang, Q., Zheng, M., Wen, J., Li, Q., & Zhao, G. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.590679 · Cited by 13
Khoury, G., Lee, M. Y.-H., Ramarathinam, S. H., McMahon, J. H., Purcell, A. W., Sonza, S., Lewin, S. R., & Purcell, D. F. J. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.680725 · Cited by 13
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Marijuán, P. C., & Navarro, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111965 · Cited by 14
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Rao, S., & Mahmoudi, T. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.917599 · Cited by 13
Montoya, V. R., Ready, T. M., Felton, A., Fine, S. R., OhAinle, M., & Emerman, M. (2023) · mBio · doi:10.1128/mbio.00009-23 · Cited by 13
Olwal, C. O., Fabius, J. M., Zuliani‐Alvarez, L., Eckhardt, M., Kyei, G. B., Quashie, P. K., Krogan, N. J., Bouhaddou, M., & Bediako, Y. (2023) · Molecular Omics · doi:10.1039/d3mo00025g · Cited by 13
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Tilton, C. A., Tabler, C. O., Lucera, M. B., Marek, S. L., Haqqani, A. A., & Tilton, J. C. (2013) · Journal of Virological Methods · doi:10.1016/j.jviromet.2013.08.029 · Cited by 13
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Kasson, P. M. (2012) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789814447973_0044 · Cited by 13
Gélinas, J., Gill, D. R., & Hyde, S. C. (2018) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00051-17 · Cited by 14
Kaake, R. M., Echeverria, I., Kim, S. J., Dollen, J. V., Chesarino, N. M., Feng, Y., Yu, C., Ta, H. M., Chelico, L., Huang, L., et al. (2021) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2021.100132 · Cited by 13
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Rachita, H. R., & Nagarajaram, H. A. (2014) · Molecular BioSystems · doi:10.1039/c4mb00219a · Cited by 13
Wright, D. W., Wan, S., Shublaq, N. W., Zasada, S. J., & Coveney, P. V. (2012) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1186 · Cited by 13
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Skinnider, M. A., Scott, N. E., Prudova, A., Stoynov, N., Stacey, R. G., Gsponer, J., & Foster, L. J. (2018) · SSRN Electronic Journal · doi:10.1101/351247 · Cited by 14
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Engelman, A. N., & Maertens, G. N. (2018) · Retrovirus-Cell Interactions · doi:10.1016/b978-0-12-811185-7.00004-2 · Cited by 12
Violitzi, F., Perivolidi, V.-I., Thireou, T. N., Grivas, I. N., Haralambous, S., Samiotaki, M. K., Panayotou, G., & Douni, E. K. (2019) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00338 · Cited by 12
Zacharias, A. O., Fang, Z., Rahman, A., Talukder, A., Cornelius, S., & Chowdhury, S. M. (2020) · Journal of Separation Science · doi:10.1002/jssc.202000930 · Cited by 12
Barbosa, J. A. F., Sparapani, S., Boulais, J., Lodge, R., & Cohen, É. A. (2021) · Journal of Virology · doi:10.1128/jvi.00971-20 · Cited by 13
Adams, C., Boonen, K., Laukens, K., & Bittremieux, W. (2022) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2022.100425 · Cited by 12
Kristensen, A. R., & Foster, L. J. (2013) · Molecular BioSystems · doi:10.1039/c3mb70135b · Cited by 12
Desimmie, B. A., Demeulemeester, J., Christ, F., & Debyser, Z. (2012) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2012.10.002 · Cited by 12
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Tang, Y., Qiu, J., Machner, M. P., & LaBaer, J. (2017) · Current Protocols in Cell Biology · doi:10.1002/cpcb.14 · Cited by 12
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Emig-Agius, D., Olivieri, K. C., Pache, L., Shih, H. L., Pustovalova, O., Bessarabova, M., Young, J. A. T., Chanda, S. K., & Ideker, T. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096687 · Cited by 12
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Kula, A., & Marcello, A. (2012) · Biology · doi:10.3390/biology1020116 · Cited by 12
Bouvier, L. A., Niemirowicz, G. T., Salas‐Sarduy, E., Cazzulo, J. J., & Álvarez, V. E. (2018) · FEBS Journal · doi:10.1111/febs.14390 · Cited by 12
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Dürr, R., Keppler, O. T., Christ, F., Crespan, E., Garbelli, A., Maga, G., & Dietrich, U. (2014) · Topics in medicinal chemistry · doi:10.1007/7355_2014_45 · Cited by 12
Stein, B. D., Herzig, S., Martínez‐Bartolomé, S., Lavallée‐Adam, M., Shaw, R. J., & Yates, J. R. (2019) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00378 · Cited by 11
Corley, M. J., Pang, A. P. S., Rasmussen, T. A., Tolstrup, M., Søgaard, O. S., & Ndhlovu, L. C. (2021) · AIDS · doi:10.1097/qad.0000000000003065 · Cited by 11
Zucko, D., Hayir, A., Grinde, K. E., & Boris‐Lawrie, K. (2022) · Viruses · doi:10.3390/v14040683 · Cited by 11
Kattan, R. E., Ayesh, D., & Wang, W. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad010 · Cited by 11
Dohrmann, J., Puchin, J., & Singh, R. (2015) · BMC Bioinformatics · doi:10.1186/1471-2105-16-s13-s11 · Cited by 11
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Chen, A., Yin, L., Lee, K., & He, C. (2021) · Kidney Diseases · doi:10.1159/000520235 · Cited by 11
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Pan, Y., Zhang, Z., Yin, L.-B., Fu, Y., Jiang, Y., & Shang, H. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-019-1925-0 · Cited by 11
Li, S., Wang, Y., Hou, D., Guan, Z., Shěn, S., Peng, K., Dèng, F., Chen, X., Hú, Z., Wáng, H., et al. (2019) · Virology · doi:10.1016/j.virol.2019.07.006 · Cited by 11
Rathore, U., Haas, P., Kumar, V. E., Hiatt, J. B., Haas, K. M., Bouhaddou, M., Swaney, D. L., Stevenson, E. J., Zuliani‐Alvarez, L., McGregor, M., et al. (2024) · mBio · doi:10.1128/mbio.02222-23 · Cited by 10
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Marx, A., & Alian, A. (2015) · Journal of Virology · doi:10.1128/jvi.03684-14 · Cited by 11
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Beltrão, P., Ryan, C. J., & Krogan, N. J. (2012) · Advances in experimental medicine and biology · doi:10.1007/978-1-4614-3567-9_7 · Cited by 10
Self-citationGiombini, E., Dolcetti, R., Caccuri, F., Selleri, M., Rozera, G., Abbate, I., Bartolini, B., Martorelli, D., Faè, D. A., Fiorentini, S., et al. (2014) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000000164 · Cited by 10
Desimmie, B. A., Smith, J. L., Matsuo, H., Hu, W.-S., & Pathak, V. K. (2017) · Retrovirology · doi:10.1186/s12977-017-0346-5 · Cited by 12
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Tian, B., Zhao, C., Gu, F., & He, Z. (2017) · BMC Systems Biology · doi:10.1186/s12918-017-0452-y · Cited by 10
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Sun, J., Yang, L., Chen, X., De, K., & Liu, R. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00497 · Cited by 10
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Federspiel, J. D., & Cristea, I. M. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9232-4_9 · Cited by 10
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Langer, S., Yin, X., Diaz, A., Portillo, A. J., Gordon, D. E., Rogers, U.-H., Marlett, J. M., Krogan, N. J., Young, J. A. T., Pache, L., et al. (2020) · Cells · doi:10.3390/cells9092010 · Cited by 10
Self-citationLeblanc, S., & Brunet, M. A. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.10.010 · Cited by 11
Deng, Y., Hammond, J. A., Pauszek, R. F., Ozog, S., Chai, I., Rabuck-Gibbons, J. N., Lamichhane, R., Henderson, S. C., Millar, D. P., Torbett, B. E., et al. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.166842 · Cited by 10
Dahiya, S., Nonnemacher, M. R., & Wigdahl, B. L. (2012) · Journal of General Virology · doi:10.1099/vir.0.041186-0 · Cited by 9
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Belshan, M., Holbrook, A. K., George, J. W., Durant, H. E., Callahan, M., Jaquet, S., West, J. T., Siedlik, J. A., & Ciborowski, P. S. (2021) · Virology · doi:10.1016/j.virol.2021.03.003 · Cited by 9
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Peters, C. E., Schulze‐Gahmen, U., Eckhardt, M., Jang, G. Μ., Xu, J., Pulido, E. H., Bardine, C., Craik, C. S., Ott, M., Gozani, O., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32758-3 · Cited by 9
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Borrmann, H., Ulkar, G., Kliszczak, A. E., Ismed, D., Schilling, M., Magri, A., Harris, J. M., Balfe, P., Vasudevan, S. R., Borrow, P., et al. (2023) · iScience · doi:10.1016/j.isci.2023.107007 · Cited by 9
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Pha, K., Mirrashidi, K. M., Sherry, J., Tran, C. J., Herrera, C. M., McMahon, E., Elwell, C. A., & Engel, J. N. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114624 · Cited by 9
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Quartey, J. N. K., & Goss, D. J. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.108317 · Cited by 9
Caccuri, F., D’Ursi, P., Uggeri, M., Bugatti, A., Mazzuca, P., Zani, A., Filippini, F., Salmona, M., Ribatti, D., SLEVIN, M. A., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021366118 · Cited by 9
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Craigie, R., & Bushman, F. D. (2015) · ASM Press eBooks · doi:10.1128/9781555819217.ch45 · Cited by 10
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Yılmaz, N. K., & Schiffer, C. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-46718-4_35 · Cited by 9
Schneider, M., Johnson, J. R., Krogan, N. J., & Chanda, S. K. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800964-2.00012-4 · Cited by 9
Self-citationCorona, E., Wang, L., Ko, D. C., & Patel, C. J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196676 · Cited by 9
Proteomics methods for discovering viral–host interactions
Georges, A. A., & Frappier, L. (2015) · Methods · doi:10.1016/j.ymeth.2015.05.001 · Cited by 9
Baptista, D., Gomez-Lucas, L., Jänes, J., Krogan, N. J., Amorim, M. J., Ivarsson, Y., & Beltrão, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.04.657796 · Cited by 9
Self-citationYu, C., Adavikolanu, R., Kaake, R. M., & Huang, L. (2025) · Mass Spectrometry Reviews · doi:10.1002/mas.21926 · Cited by 10
Yang, N., Tian, Q., Lei, Z., Wang, S., Cheng, N., Wang, Z., Jiang, X., Zheng, X., Xu, W., Ye, M., et al. (2025) · Advanced Science · doi:10.1002/advs.202408724 · Cited by 8
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Chen, H., Charles, P. D., Gu, Q., Liberatori, S., Robertson, D. L., Palmarini, M., Wilson, S. J., Mohammed, S., & Castelló, A. (2025) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2025.100966 · Cited by 9
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Zhang, H.-G., Guo, J., Yuan, Y., Zuo, Y., Liu, J., Zhu, L., Miao, Y., Chen, X., Jin, L., Huang, F., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.597972 · Cited by 8
Modulations in the host cell proteome by the hantavirus nucleocapsid protein
Royster, A. D., Ren, S., Ali, S., Mir, S., & Mir, M. A. (2024) · PLoS Pathogens · doi:10.1371/journal.ppat.1011925 · Cited by 8
Fluorescence, Circular Dichroism and Mass Spectrometry as Tools to Study Virus Structure
Neira, J. L. (2013) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-94-007-6552-8_6 · Cited by 8
The Dynamic Landscape of the Full-Length HIV-1 Transactivator of Transcription
To, V., Dzananovic, E., McKenna, S. A., & O’Neil, J. D. (2016) · Biochemistry · doi:10.1021/acs.biochem.5b01178 · Cited by 8
Solis‐Mezarino, V., & Herzog, F. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx411 · Cited by 8
Li, P., Anwar, M. T., Fan, C., Juang, D. S., Lin, H., Chang, T., Kawade, S. K., Chen, H.-J., Chen, Y., Tan, K., et al. (2019) · Biomacromolecules · doi:10.1021/acs.biomac.9b01495 · Cited by 8
Curto, P., Santa, C., Cortes, L., Manadas, B. J., & Simões, I. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00814-21 · Cited by 8
The CARD8 inflammasome in HIV infection
Clark, K. M., Pal, P., Kim, J. G., Wang, Q., & Shan, L. (2023) · Advances in immunology · doi:10.1016/bs.ai.2022.11.001 · Cited by 9
Metadata
- Authors
- Jäger, S., Cimermancic, P., Gulbahce, N., Johnson, J. R., McGovern, K. E., Clarke, S. C., Shales, M., Mercenne, G., Pache, L., Li, K., Hernandez, H., Jang, G. M., Roth, S. L., Akiva, E., Marlett, J., Stephens, M., D’Orso, I., Fernandes, J., Fahey, M., Mahon, C., O’Donoghue, A. J., Todorovic, A., Morris, J. H., Maltby, D. A., Alber, T., Cagney, G., Bushman, F. D., Young, J. A., Chanda, S. K., Sundquist, W. I., Kortemme, T., Hernandez, R. D., Craik, C. S., Burlingame, A., Sali, A., Frankel, A. D., & Krogan, N. J.
- Affiliations
- University of California, San Francisco (US)
- QB3 (US)
- Sanford Burnham Prebys Medical Discovery Institute (US)
- University of Pennsylvania (US)
- Salk Institute for Biological Studies (US)
- University of California, Berkeley (US)
- University College Dublin (IE)
- University of Utah (US)
- Corresponding author
- Krogan, Nevan J.
- ORCID
- Jäger, Stefanie
- Gulbahce, Natali
- Johnson, Jeffrey R.
- McGovern, Kathryn E.
- Clarke, Starlynn C.
- Pache, Lars
- Li, Kathy
- Akiva, Eyal
- D’Orso, Iván
- Fernandes, Jason
- Fahey, Marie
- Mahon, Cathal
- O’Donoghue, Anthony J.
- Morris, John H.
- Cagney, Gerard
- Bushman, Frederic D.
- Young, John A.
- Chanda, Sumit K.
- Sundquist, Wesley I.
- Kortemme, Tanja
- Hernandez, Ryan D.
- Craik, Charles S.
- Burlingame, Alma
- Frankel, Alan D.
- Krogan, Nevan J.
- Venue
- Nature
- Published
- 2011-12-21
- Volume
- 481
- Issue
- 7381
- Pages
- 365-370
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3310911
- OpenAlex
- W1996076856
- Cited by
- 731
- References
- 29
- Citations by year
- 2026: 22 · 2025: 25 · 2024: 37 · 2023: 41 · 2022: 46 · 2021: 59 · 2020: 44 · 2019: 51 · 2018: 50 · 2017: 47 · 2016: 59 · 2015: 62 · 2014: 67 · 2013: 58 · 2012: 62
- FWCI
- 23.80
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (P50GM082250, P50GM081879, P50GM082545, P41GM103481, P01GM073732)
- National Institute of Allergy and Infectious Diseases (P01AI090935)
- National Center for Research Resources (P41RR001614, P41RR001081, U54RR022220)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS drug development and treatment
- Keywords
- HIV-1, host-virus protein interaction, protein-protein interaction, HIV replication, integrase, eIF3, primate conservation
- MeSH terms
- Affinity Labels, Amino Acid Sequence, Humans, Protein Binding, Mass Spectrometry, Virus Replication, Reproducibility of Results, HIV-1, HIV Infections, HIV Protease, Conserved Sequence, Jurkat Cells, Protein Interaction Mapping, Eukaryotic Initiation Factor-3, Immunoprecipitation, Human Immunodeficiency Virus Proteins, Host-Pathogen Interactions, HEK293 Cells, Protein Interaction Maps
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