Evidence map›Paper›PMID 41051879›Full record

ArticleJournal of the American Society of Nephrology : JASN2026

Illuminating Mouse Renal Proximal Tubule Architecture through High-Resolution Volume EM and Machine Learning Analysis.

Raj D Pandya, Emily M Lackner, C Shan Xu, Christopher Zugates, Mariia Burdyniuk, Andrea Reyna-Neyra, Vraj D Pandya, Wei-Ping Li, Song Pang, Ora A Weisz and 1 more

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Megalin: from structure to function.Nature reviews. Nephrology · 2026
    Review
  2. Review
  3. Advancing Imaging of the Kidney.Journal of the American Society of Nephrology : JASN · 2026
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Raj D PandyaDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.ORCID 0009-0009-9913-3420
Emily M LacknerRenal-Electrolyte Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0003-1810-3983
C Shan XuDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0002-8564-7836
Christopher ZugatesCarl Zeiss Microscopy, LLC, White Plains, New York.ORCID 0000-0003-1882-3665
Mariia BurdyniukCarl Zeiss Microscopy, LLC, White Plains, New York.
Andrea Reyna-NeyraDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0002-7850-831
Vraj D PandyaDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.ORCID 0009-0003-1248-2123
Wei-Ping LiJanelia Research Campus, Ashburn, Virginia.ORCID 0009-0003-0095-3872
Song PangDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0002-7231-4151
Ora A WeiszRenal-Electrolyte Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0003-2985-4870
Michael J CaplanDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.ORCID 0000-0001-5768-4405

Funding

Resource Development CoreU54DK137329 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Gerard L Apodaca · 2023 to 2026
$4.8M
Endocytic Pathway Dysfunction in Dent DiseaseR01DK125049 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WEISZ, ORA A · 2020 to 2024
$2.3M
PCT-KUH: Pittsburgh center for training in kidney, urology and hematologyTL1DK143271 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Thomas R Kleyman · 2024 to 2026
$1.7M
Interinstitutional Program in Cell and Molecular Biology: A Graduate Training Path to Promote Traditional and Non-Traditional Professional OutcomesT32GM133353 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRODSKY, JEFFREY L., MURRAY, SANDRA ANN · 2020 to 2024
$1.5M
NIDDK NIH HHS 1TL1DK14327NIDDK NIH HHS DK072612NIDDK NIH HHS DK125049NIDDK NIH HHS DK137329NIDDK NIH HHS R01 DK125049NIDDK NIH HHS TL1 DK143271NIDDK NIH HHS U54 DK137329NIGMS NIH HHS 5T32GM133353NIGMS NIH HHS T32 GM133353
6 · The paper itself

Abstract

key pointsHigh-resolution 3D imaging reveals new features of proximal tubule ultrastructure that suggested mechanisms for regulating kidney function. Our studies illuminate novel connections between membranes of the endoplasmic reticulum, plasma membrane, and apical endocytic compartments. The endoplasmic reticulum in proximal tubule cells has subdomains characterized by proteins involved in distinct biochemical functions.

backgroundKidney epithelial cells perform complex vectorial fluid and solute transport at high volumes and rapid rates. Their structural organization both reflects and enables these sophisticated physiologic functions. However, our understanding of the nanoscale spatial organization and intracellular ultrastructure that underlies these crucial cellular functions remains limited.

methodsTo address this knowledge gap, we generated and reconstructed an extensive electron microscopic dataset of mouse renal proximal tubule epithelial cells at isotropic resolutions down to 4 nm. We used artificial intelligence-based segmentation tools to identify, trace, and measure all major subcellular components. We complemented this analysis with immunofluorescence microscopy to connect subcellular architecture to biochemical function.

resultsOur ultrastructural analysis revealed complex organization of membrane-bound compartments in proximal tubule cells. The apical endocytic system featured deep invaginations connected to an anastomosing meshwork of dense apical tubules, rather than discrete structures. The endoplasmic reticulum (ER) displayed distinct structural domains: fenestrated sheets in the basolateral region and smaller, disconnected clusters in the subapical region. We identified, quantified, and visualized membrane contact sites between ER, plasma membrane, mitochondria, and apical endocytic compartments. Immunofluorescence microscopy demonstrated distinct localization patterns for ER resident proteins at mitochondrial and plasma membrane interfaces.

conclusionsThis study provides novel insights into proximal tubule cell organization, revealing specialized compartmentalization and unexpected connections between membrane-bound organelles. We identified previously uncharacterized structures, including mitochondria-plasma membrane bridges and an interconnected endocytic meshwork, suggesting mechanisms for efficient energy distribution, cargo processing, and structural support. Morphologic differences between 4 and 8 nm datasets indicate subsegment-specific specializations within the proximal tubule. This comprehensive open-source dataset provides a foundation for understanding how subcellular architecture supports specialized epithelial function in health and disease.

Indexed as

Kidney Tubules, ProximalMachine LearningMicroscopy, ElectronAnimalsCell MembraneEndoplasmic ReticulumEpithelial CellsImaging, Three-DimensionalMiceMitochondriaVolume Electron Microscopycell biology and structureelectron microscopykidney tubulenephronproximal tubulerenal cell biologyrenal proximal tubule cellrenal tubular epithelial cellstubular epithelium

Identifiers

PMID41051879
PMCPMC13065211

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.