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Multiparametric characterization of rare HIV-infected cells using an RNA-flow FISH technique

Abstract

Efforts to cure HIV are hampered by limited characterization of the cells supporting HIV replication in vivo and inadequate methods for quantifying the latent viral reservoir in individuals receiving antiretroviral therapy (ART). We describe a protocol for flow cytometric identification of viral reservoirs, based on concurrent detection of cellular HIV Gagpol mRNA by in situ RNA hybridization combined with antibody staining for the HIV Gag protein. By simultaneously detecting both HIV RNA and protein, the CD4 T cells harboring translation-competent virus can be identified. The HIVRNA/Gag method is 1,000-fold more sensitive than Gag protein staining alone, with a detection limit of 0.5–1 Gagpol mRNA+/Gag protein+ cells per million CD4 T cells. Uniquely, the HIVRNA/Gag assay also allows parallel phenotyping of viral reservoirs, including reactivated latent reservoirs in clinical samples. The assay takes 2 d, and requires antibody labeling for surface and intracellular markers, followed by mRNA labeling and multiple signal amplification steps.

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Figure 1: Impact of Poisson distribution on the detection of rare HIVRNA+/Gag+ events.
Figure 2: Part I of the protocol.
Figure 3: Part IIA of the protocol.
Figure 4: Part IIB of the protocol.
Figure 5: Representative staining of mRNA-positive controls processed as described in the complete protocol, demonstrating the expected distribution of fluorescence intensities and frequencies of mRNA+ cells.
Figure 6: Example flow cytometry plots from Steps 104 to 109 showing primary CD4 T-cell samples processed with the HIVRNA/Gag assay, demonstrating expected staining patterns and frequencies of HIVRNA+/Gag+ cells.
Figure 7: Comparison of single mRNA, dual mRNA and protein staining on subject samples.
Figure 8: Example HIVRNA/Gag assay staining and concurrent phenotyping of the translation-competent latent viral reservoir following LRA-induced reactivation for a virally suppressed, ART-treated individual.
Figure 9: The HIVRNA/Gag assay enables the microscopy analysis of rare populations of HIV-infected CD4 T cells, by sorting the rare populations of interest before microscopy.

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Acknowledgements

We thank J. Girouard, the clinical staff at McGill University Health Centre and all study participants; D. Gauchat, the CRCHUM Flow Cytometry Platform, O. Debbeche, the CRCHUM BSL3 Platform, D. Zenklusen and C. Lai for technical assistance; and D. Malayter for technical support. This study was supported by the National Institutes of Health (HL-092565, AI100663 CHAVI-ID, AI113096, AI118544), the Delaney AIDS Research Enterprise (DARE; 1U19AI096109), the Canadian Institutes for Health Research (137694; Canadian HIV Cure Enterprise), a Canada Foundation for Innovation grant, the FRQS AIDS and Infectious Diseases Network and the Foundation for AIDS Research (108928-56-RGRL). D.E.K. and N.C. are supported by FRQS Research Scholar Awards. A.F. is the recipient of a Canada Research Chair. J.-P.R. is the holder of the Louis Lowenstein Chair, McGill University. A.E.B. is the recipient of a CIHR Fellowship (award no. 152536). J.N. is the recipient of a scholarship from the Bavarian Research Alliance (BayFor). J.R. is the recipient of CIHR Fellowship Award no. 135349. N.A. is the recipient of a King Abdullah scholarship from the Saudi government.

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Authors and Affiliations

Authors

Contributions

A.E.B., F.P. and D.E.K. conceived and developed the HIVRNA/Gag assay, with input from A.F. and N.C.; A.E.B., J.N., R.F., J.R., N.B., M.M. and N.A. modified the protocol, designed specific experiments and provided reagents; J.-P.R. obtained IRB approval and recruited participants to provide primary samples; D.E.K. provided supervision; A.E.B. and D.E.K. wrote the manuscript and all authors approved the final version.

Corresponding author

Correspondence to Daniel E Kaufmann.

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The authors declare no competing financial interests.

Integrated supplementary information

Supplementary Figure 1 Example gating strategy.

Cells are gated as lymphocytes (a), single cells (b), live cells (c), exclusion channel negative (d), CD3+ T cells (e). Note that some latency reversing agents may cause downregulation of CD3/CD4, therefore depending on the experimental design the final gate may be excluded. Samples were acquired on a modified 5-laser BD LSRII and analyzed using FlowJo Versions 9 and 10 for Mac.

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Supplementary Figure 1. (PDF 218 kb)

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Baxter, A., Niessl, J., Fromentin, R. et al. Multiparametric characterization of rare HIV-infected cells using an RNA-flow FISH technique. Nat Protoc 12, 2029–2049 (2017). https://doi.org/10.1038/nprot.2017.079

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