Person:
Hoover, Paul

Profile Picture

Email Address

AA Acceptance Date

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Hoover

First Name

Paul

Name

Hoover, Paul

Filters

20231

Settings

Author's Publications: search.filters.isAuthorOfPublication.4e4608de-2161-477f-a5d1-7d1a54dde435

Search Results

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Publication
    An atlas of healthy and injured cell states and niches in the human kidney
    (Springer Science and Business Media LLC, 2023-07-19) Hoover, Paul; Lake, Blue; Menon, Rajasree; Winfree, Seth; Hu, Qiwen; Ferreira, Ricardo; Kalhor, Kian; Barwinska, Daria; Otto, Edgar; Ferkowicz, Michael; Diep, Dinh; Eadon, Michael; Dagher, Pierre; El-Achkar, Tarek; Zhang, Kun; Kretzler, Matthias; Jain, Sanjay
    Understanding kidney disease relies upon defining the complexity of cell types and states, their associated molecular profiles, and interactions within tissue neighborhoods. We applied multiple single-cell or -nucleus assays (>400,000 nuclei/cells) and spatial imaging technologies to a broad spectrum of healthy reference (45 donors) and diseased (48 patients) kidneys. This has provided a high resolution cellular atlas of 51 main cell types that include rare and novel cell populations. The multi-omic approach provides detailed transcriptomic profiles, epigenomic regulatory factors, and spatial localizations spanning the entire kidney. We further define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive or maladaptive repair, transitioning and degenerative states. Molecular signatures permitted localization of these states within injury neighborhoods using spatial transcriptomics, while large-scale 3D imaging analysis (~1.2 million neighborhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents the most comprehensive benchmark of cellular states, neighborhoods, outcome-associated signatures, and publicly available interactive visualizations.