Single-cell profiling reveals epithelial and immune responses in BK polyomavirus-infected human kidney biopsies.

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Bibliographic Details
Title: Single-cell profiling reveals epithelial and immune responses in BK polyomavirus-infected human kidney biopsies.
Authors: Marvin T; Lewis-Sigler Institute for Integrative Genomics and.; Princeton Precision Health Initiative, Princeton University, Princeton, New Jersey, USA., Sealfon R; Center for Computational Biology, Flatiron Institute, New York, New York, USA., McCown PJ; Department of Internal Medicine, Division of Nephrology, and., AlAkwaa F; Department of Internal Medicine, Division of Nephrology, and., Farkash EA; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA., Otto EA; Department of Internal Medicine, Division of Nephrology, and., Eichinger F; Department of Internal Medicine, Division of Nephrology, and., An P; Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Menon R; Department of Computational Medicine and Bioinformatics and., Berthier CC; Department of Internal Medicine, Division of Nephrology, and., Reed TJ; Lewis-Sigler Institute for Integrative Genomics and.; Princeton Precision Health Initiative, Princeton University, Princeton, New Jersey, USA., Arrowsmith P; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA., Subramanian L; Department of Internal Medicine, Division of Nephrology, and., Shaffer KJ; Department of Internal Medicine, Division of Nephrology, and., Norman SP; Department of Internal Medicine, Division of Nephrology, and., Gumber R; Department of Internal Medicine, Division of Nephrology, and., Imperiale MJ; Department of Microbiology and Immunology and Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA., Pipas JM; Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Troyanskaya OG; Lewis-Sigler Institute for Integrative Genomics and.; Princeton Precision Health Initiative, Princeton University, Princeton, New Jersey, USA.; Center for Computational Biology, Flatiron Institute, New York, New York, USA., Kretzler M; Department of Internal Medicine, Division of Nephrology, and.; Department of Computational Medicine and Bioinformatics and., Theesfeld CL; Lewis-Sigler Institute for Integrative Genomics and.; Princeton Precision Health Initiative, Princeton University, Princeton, New Jersey, USA., Naik AS; Department of Internal Medicine, Division of Nephrology, and.
Source: JCI insight [JCI Insight] 2026 Mar 12; Vol. 11 (8). Date of Electronic Publication: 2026 Mar 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: American Society for Clinical Investigation Country of Publication: United States NLM ID: 101676073 Publication Model: eCollection Cited Medium: Internet ISSN: 2379-3708 (Electronic) Linking ISSN: 23793708 NLM ISO Abbreviation: JCI Insight Subsets: MEDLINE
Database: MEDLINE Ultimate
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