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dc.contributor.authorShalek, Alex
dc.contributor.authorLove, John
dc.contributor.authorBerger, Bonnie
dc.date.accessioned2022-09-28T17:37:57Z
dc.date.available2022-09-28T17:37:57Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/145609
dc.description.abstractMycobacterium tuberculosis lung infection results in a complex multicellular structure: the granuloma. In some granulomas, immune activity promotes bacterial clearance, but in others, bacteria persist and grow. We identified correlates of bacterial control in cynomolgus macaque lung granulomas by co-registering longitudinal positron emission tomography and computed tomography imaging, single-cell RNA sequencing, and measures of bacterial clearance. Bacterial persistence occurred in granulomas enriched for mast, endothelial, fibroblast, and plasma cells, signaling amongst themselves via type 2 immunity and wound-healing pathways. Granulomas that drove bacterial control were characterized by cellular ecosystems enriched for type 1-type 17, stem-like, and cytotoxic T cells engaged in pro-inflammatory signaling networks involving diverse cell populations. Granulomas that arose later in infection displayed functional characteristics of restrictive granulomas and were more capable of killing Mtb. Our results define the complex multicellular ecosystems underlying (lack of) granuloma resolution and highlight host immune targets that can be leveraged to develop new vaccine and therapeutic strategies for TB.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.IMMUNI.2022.04.004en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceElsevieren_US
dc.titleMultimodal profiling of lung granulomas in macaques reveals cellular correlates of tuberculosis controlen_US
dc.typeArticleen_US
dc.identifier.citationShalek, Alex, Love, John and Berger, Bonnie. 2022. "Multimodal profiling of lung granulomas in macaques reveals cellular correlates of tuberculosis control." Immunity, 55 (5).
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT. Laboratory for Multiscale Regenerative Technologiesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.relation.journalImmunityen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-09-28T17:23:33Z
dspace.orderedauthorsGideon, HP; Hughes, TK; Tzouanas, CN; Wadsworth, MH; Tu, AA; Gierahn, TM; Peters, JM; Hopkins, FF; Wei, J-R; Kummerlowe, C; Grant, NL; Nargan, K; Phuah, JY; Borish, HJ; Maiello, P; White, AG; Winchell, CG; Nyquist, SK; Ganchua, SKC; Myers, A; Patel, KV; Ameel, CL; Cochran, CT; Ibrahim, S; Tomko, JA; Frye, LJ; Rosenberg, JM; Shih, A; Chao, M; Klein, E; Scanga, CA; Ordovas-Montanes, J; Berger, B; Mattila, JT; Madansein, R; Love, JC; Lin, PL; Leslie, A; Behar, SM; Bryson, B; Flynn, JL; Fortune, SM; Shalek, AKen_US
dspace.date.submission2022-09-28T17:23:34Z
mit.journal.volume55en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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