Literature DB >> 20722008

Ex vivo analysis of SIV-infected cells by flow cytometry.

Matthew R Reynolds1, Shari M Piaskowski, Kimberly L Weisgrau, Andrea M Weiler, Thomas C Friedrich, Eva G Rakasz.   

Abstract

Deciphering the complex interactions between human and simian immunodeficiency viruses (HIV/SIV) and their host cells is crucial to the development of improved therapies and vaccines. Investigating these relationships has been complicated by the inability to directly analyze infected cells among freshly isolated peripheral blood lymphocytes. Here, we describe a method to detect cells productively infected with SIVmac239 ex vivo from the blood or lymph nodes by flow cytometry. Using this method, we show a close correlation between the frequency of productively infected cells in both sample type and the plasma viral load. We define that the minimum threshold for detecting productively infected cells in lymph nodes by flow cytometry requires a plasma virus concentration of ∼2.5 × 10(4) vRNA copy Equivalents (Eq)/ml. Conversely, an approximately 2 logs higher plasma viral load is needed to detect productively infected cells in the peripheral blood. This novel protocol provides a direct analytical tool to assess interactions between SIV and host cells, which is of key importance to investigators in AIDS research.
© 2010 International Society for Advancement of Cytometry.

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Year:  2010        PMID: 20722008      PMCID: PMC4854573          DOI: 10.1002/cyto.a.20960

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  23 in total

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4.  Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection.

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Journal:  Nature       Date:  1997-05-08       Impact factor: 49.962

5.  Monocyte antigen CD14 is a phospholipid anchored membrane protein.

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6.  HIV-1 Nef protein protects infected primary cells against killing by cytotoxic T lymphocytes.

Authors:  K L Collins; B K Chen; S A Kalams; B D Walker; D Baltimore
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8.  Role of CD8(+) lymphocytes in control of simian immunodeficiency virus infection and resistance to rechallenge after transient early antiretroviral treatment.

Authors:  J D Lifson; J L Rossio; M Piatak; T Parks; L Li; R Kiser; V Coalter; B Fisher; B M Flynn; S Czajak; V M Hirsch; K A Reimann; J E Schmitz; J Ghrayeb; N Bischofberger; M A Nowak; R C Desrosiers; D Wodarz
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9.  Visualizing antigen-specific and infected cells in situ predicts outcomes in early viral infection.

Authors:  Qingsheng Li; Pamela J Skinner; Sang-Jun Ha; Lijie Duan; Teresa L Mattila; Aaron Hage; Cara White; Daniel L Barber; Leigh O'Mara; Peter J Southern; Cavan S Reilly; John V Carlis; Christopher J Miller; Rafi Ahmed; Ashley T Haase
Journal:  Science       Date:  2009-03-27       Impact factor: 47.728

10.  Comprehensive analysis of nef functions selected in simian immunodeficiency virus-infected macaques.

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  4 in total

1.  Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques.

Authors:  Andrey Tokarev; Matthew Creegan; Michael A Eller; Mario Roederer; Diane L Bolton
Journal:  J Vis Exp       Date:  2018-09-25       Impact factor: 1.355

2.  Single-Cell Profiling of Latently SIV-Infected CD4+ T Cells Directly Ex Vivo to Reveal Host Factors Supporting Reservoir Persistence.

Authors:  Andrey Tokarev; Kawthar Machmach; Matthew Creegan; Dohoon Kim; Michael A Eller; Diane L Bolton
Journal:  Microbiol Spectr       Date:  2022-05-05

3.  Combined single-cell quantitation of host and SIV genes and proteins ex vivo reveals host-pathogen interactions in individual cells.

Authors:  Diane L Bolton; Kathleen McGinnis; Greg Finak; Pratip Chattopadhyay; Raphael Gottardo; Mario Roederer
Journal:  PLoS Pathog       Date:  2017-06-27       Impact factor: 6.823

Review 4.  A deadly dance: the choreography of host-pathogen interactions, as revealed by single-cell technologies.

Authors:  Pratip K Chattopadhyay; Mario Roederer; Diane L Bolton
Journal:  Nat Commun       Date:  2018-11-06       Impact factor: 14.919

  4 in total

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