1. Virus-Dependent Immune Conditioning of Tissue Microenvironments
- Author
-
Candace Liu, Bokai Zhu, David R. McIlwain, Han Chen, Graham L. Barlow, Yunhao Bai, Noah F. Greenwald, Garry P. Nolan, Kathleen Busman-Sahay, Margaret Terry, Xavier Rovira-Clavé, Skyler Younger, Jason L. Weirather, Nilanjan Mukherjee, Michael Angelo, Sizun Jiang, Chi Ngai Chan, Darci J. Phillips, Jacob D. Estes, John-Paul Oliveria, Marc Bosse, Michael Nekorchuk, Janos Demeter, Yury Golstev, and Erin McCaffrey
- Subjects
Immune system ,Downregulation and upregulation ,Viral pathogenesis ,medicine ,Nucleic acid ,RNA ,Macrophage ,Simian immunodeficiency virus ,Biology ,medicine.disease_cause ,Virus ,Cell biology - Abstract
A thorough understanding of complex spatial host-disease interactions in situ is necessary in order to develop effective preventative measures and therapeutic strategies. Here, we developed Protein And Nucleic acid IN situ Imaging (PANINI) and coupled it with Multiplexed Ion Beam Imaging (MIBI) to sensitively and simultaneously quantify DNA, RNA, and protein levels within the microenvironments of tissue compartments. The PANINI-MIBI approach was used to measure over 30 parameters simultaneously across large sections of archival lymphoid tissues from non-human primates that were healthy or infected with simian immunodeficiency virus (SIV), a model that accurately recapitulates human immunodeficiency virus infection (HIV). This enabled multiplexed dissection of cellular phenotypes, functional markers, viral DNA integration events, and viral RNA transcripts as resulting from viral infection. The results demonstrated immune coordination from an unexpected upregulation of IL10 in B cells in response to SIV infection that correlated with macrophage M2 polarization, thus conditioning a potential immunosuppressive environment that allows for viral production. This multiplexed imaging strategy also allowed characterization of the coordinated microenvironment around latently or actively infected cells to provide mechanistic insights into the process of viral latency. The spatial multi-modal framework presented here is applicable to deciphering tissue responses in other infectious diseases and tumor biology.
- Published
- 2021
- Full Text
- View/download PDF