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Highly Sensitive Analysis of Cervical Mucosal HIV-1 Infection Using Reporter Viruses Expressing Secreted Nanoluciferase

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HIV Protocols

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2807))

Abstract

Ex vivo cervical tissue explant models offer a physiologically relevant approach for studying virus-host interactions that underlie mucosal HIV-1 transmission to women. However, the utility of cervical explant tissue (CET) models has been limited for both practical and technical reasons. These include assay variation, inadequate sensitivity for assessing HIV-1 infection and replication in tissue, and constraints imposed by the requirement for using multiple replica samples of CET to test each experimental variable and assay parameter. Here, we describe an experimental approach that employs secreted nanoluciferase (sNLuc) and current HIV-1 reporter virus technologies to overcome certain limitations of earlier ex vivo CET models. This method augments application of the CET model for investigating important questions involving mucosal HIV-1 transmission.

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Authors and Affiliations

  1. Division of Hematology/Oncology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA

    Dana F. Indihar, Jennifer J. Jones, Christina Ochsenbauer & John C. Kappes

  2. Birmingham VA Health Care System, Research Service, Birmingham, AL, USA

    John C. Kappes

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  1. Dana F. Indihar
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  2. Jennifer J. Jones
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  3. Christina Ochsenbauer
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  4. John C. Kappes
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Correspondence to John C. Kappes .

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Editors and Affiliations

  1. Albert Einstein College of Medicine, Bronx, NY, USA

    Vinayaka R. Prasad

  2. Albert Einstein College of Medicine, Bronx, NY, USA

    Ganjam V. Kalpana

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Indihar, D.F., Jones, J.J., Ochsenbauer, C., Kappes, J.C. (2024). Highly Sensitive Analysis of Cervical Mucosal HIV-1 Infection Using Reporter Viruses Expressing Secreted Nanoluciferase. In: Prasad, V.R., Kalpana, G.V. (eds) HIV Protocols . Methods in Molecular Biology, vol 2807. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3862-0_21

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  • Online ISBN: 978-1-0716-3862-0

  • eBook Packages: Springer Protocols

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