PT - JOURNAL ARTICLE AU - Sizun Jiang AU - Chi Ngai Chan AU - Xavier Rovira-Clave AU - Han Chen AU - Yunhao Bai AU - Bokai Zhu AU - Erin McCaffrey AU - Noah F. Greenwald AU - Candace Liu AU - Graham L Barlow AU - Jason L. Weirather AU - John Paul Oliveria AU - Darci Philips AU - Nilanjan Mukherjee AU - Kathleen Busman-Sahay AU - Michael Nekorchuk AU - Margaret Terry AU - Skyler Younger AU - Marc Bosse AU - Janos Demeter AU - Yury Golstev AU - David Robert McIlwain AU - Michael Angelo AU - Jacob D. Estes AU - Garry P. Nolan TI - Virus-Dependent Immune Conditioning of Tissue Microenvironments AID - 10.1101/2021.05.21.444548 DP - 2021 Jan 01 TA - bioRxiv PG - 2021.05.21.444548 4099 - http://biorxiv.org/content/early/2021/05/23/2021.05.21.444548.short 4100 - http://biorxiv.org/content/early/2021/05/23/2021.05.21.444548.full AB - 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.Competing Interest StatementG.P.N. and M.A. are co-founders and have personal financial interests in the company IonPath, which manufactures the instrument used in this manuscript.