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High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states

2026-01-15

Abstract excerpt

Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ultimately lead to kidney failure. To quantitatively assess spatial injury patterns, we collected high dimensional spatial proteomics data from 23 LuN, 33 RAR, and 8 kidney control (KC) biopsies. We developed a computational pipeline to segment and classify tubules, capillaries, and glomeruli in whole-slide images usi...

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Literature Corpus work
fb94f7d3-ff98-50e2-8e2c-25f92797f065
DOI
10.64898/2026.01.14.699505
Open publication

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High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage statesDOI 10.64898/2026.01.14.699505
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