journal article·2026-07Open access

Glomage : A Multimodal Platform for High‐Content Morphological and RNA Profiling of Glomeruli in Zebrafish and Mouse Models

Maximilian Schindler, Tim Lange, Sophia‐Marie Bach, Soeren S. Lienkamp, Nicole Endlich

Advanced Science· Volume 13· Issue 39

Abstract

ABSTRACT Chronic kidney disease affects more than 850 million people worldwide, yet effective treatment strategies remain limited. The glomerulus is the central filtering unit of the kidney and critically depends on the complex 3D architecture of podocytes. As terminally differentiated and essentially non‐regenerative cells, podocytes are highly vulnerable to injury, and their loss is an irreversible factor in kidney function decline. However, their complex morphology has prevented scalable analysis and slowed progress in drug discovery. To overcome these limitations, Glomage was developed as a cross‐species high‐throughput platform for scalable 3D analysis of glomeruli. In zebrafish larvae, the workflow enables simultaneous isolation, staining, volumetric imaging, and RNA extraction of hundreds of glomeruli. By preserving spatial architecture, the protocol supports rapid, reproducible quantification of podocyte number and structure, enabling systematic assessment of cellular phenotypes at an unprecedented scale. To extend translational relevance, the workflow was adapted to isolated mouse glomeruli, enabling rapid 3D imaging and sensitive detection of key pathological features such as age‐related podocyte depletion. Compatibility across species underscores the robustness, versatility, and broad applicability of the platform. Overall, Glomage creates a powerful high‐content framework for glomerular profiling, accelerates mechanistic studies of podocyte biology, and supports the discovery of urgently needed therapeutic interventions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Single-cell and spatial transcriptomics · Renal Diseases and Glomerulopathies · Renal and related cancers

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Anatomy and Cell Biology University Medicine Greifswald Greifswald Germany

Institute of Anatomy University of Zurich Zurich Switzerland

Department of Health Sciences and Technology ETH Zurich Zurich Switzerland

Zurich Kidney Center University of Zurich Zurich Switzerland

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt · Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

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