Elucidating the Burden of HIV in Tissues Using Multiplexed Immunofluorescence and In Situ Hybridization: Methods for the Single-Cell Phenotypic Characterization of Cells Harboring HIV In Situ.
Joshua J VasquezRajaa HussienBrandon Aguilar-RodriguezHenrik JungerDejan DobiTimothy J HenrichCassandra ThanhErica GibsonLouise E HoganJoseph McCunePeter W HuntCheryl A StoddartZoltan G LaszikPublished in: The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society (2018)
Persistent tissue reservoirs of HIV present a major barrier to cure. Defining subsets of infected cells in tissues is a major focus of HIV cure research. Herein, we describe a novel multiplexed in situ hybridization (ISH) (RNAscope) protocol to detect HIV-DNA (vDNA) and HIV-RNA (vRNA) in formalin-fixed paraffin-embedded (FFPE) human tissues in combination with immunofluorescence (IF) phenotyping of the infected cells. We show that multiplexed IF and ISH (mIFISH) is suitable for quantitative assessment of HIV vRNA and vDNA and that multiparameter IF phenotyping allows precise identification of the cellular source of the ISH signal. We also provide semi-quantitative data on the impact of various tissue fixatives on the detectability of vDNA and vRNA with RNAscope technology. Finally, we describe methods to quantitate the ISH signal on whole-slide digital images and validation of the quantitative ISH data with quantitative real-time PCR for vRNA. It is our hope that this approach will provide insight into the biology of HIV tissue reservoirs and to inform strategies aimed at curing HIV.
Keyphrases
- antiretroviral therapy
- hiv positive
- hiv infected
- hiv testing
- human immunodeficiency virus
- hepatitis c virus
- hiv aids
- men who have sex with men
- single cell
- induced apoptosis
- south africa
- high resolution
- gene expression
- high throughput
- cell cycle arrest
- machine learning
- cell death
- endoplasmic reticulum stress
- mass spectrometry
- cell proliferation
- oxidative stress
- rna seq
- real time pcr
- peripheral blood
- big data
- flow cytometry
- optical coherence tomography
- cell free