Evidence map›Paper›PMID 40815665›Full record

ArticleScience advances2025

Integration of spatial protein imaging and transcriptomics in the human kidney tracks the regenerative potential of proximal tubules.

Mahla Asghari, Angela R Sabo, Daria Barwinska, Ricardo Melo Ferreira, Michael J Ferkowicz, William S Bowen, Ying-Hua Cheng, Debora L Gisch, Connor Gulbronson, Carrie L Phillips and 21 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Spatial Atlas Creation at the Single Cell Level: Unveiling the Human Kidney Metaverse.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  4. Article
  5. Article
  6. Role of local complement activation in kidney fibrosis and repair.The Journal of clinical investigation · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Mahla AsghariDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0003-3907-6267
Angela R SaboDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-7496-8570
Daria BarwinskaDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-0776-3030
Ricardo Melo FerreiraDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0003-2063-9744
Michael J FerkowiczDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-9531-3899
William S BowenDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0009-0005-1408-596X
Ying-Hua ChengDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-7871-8141
Debora L GischDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-9087-4585
Connor GulbronsonDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-2977-7185
Carrie L PhillipsDepartment of Pathology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-0256-0736
Katherine J KellyDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-7244-9657
Timothy A SuttonDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-4117-1434
James C WilliamsDepartment of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-6665-6596
Miguel VazquezDepartment of Medicine, University of Texas Southwestern, Dallas, TX 75390, USA.ORCID 0009-0002-8859-9494
John O'TooleDepartment of Medicine, Cleveland Clinic, Cleveland, OH 44195, USA.ORCID 0000-0001-5929-1947
Paul PalevskyDepartment of Medicine, University of Pittsburgh and the VA Pittsburgh Healthcare System, Pittsburgh, PA 15261, USA.ORCID 0000-0002-7334-5400
Sylvia E RosasJoslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0002-9903-4002
Sushrut S WaikarDepartment of Medicine, Boston University, Boston, MA 02118, USA.ORCID 0000-0003-4004-326X
Krzysztof KirylukDepartment of Medicine, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-5047-6715
Chirag ParikhDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0001-9051-7385
Jeffrey B HodginDepartment of Medicine, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-0534-3048
Pinaki SarderDepartment of Medicine, University of Florida at Gainesville, Gainesville, FL 32610.ORCID 0000-0003-2450-5233
Ian H De BoerDepartment of Medicine, University of Washington, Seattle, WA 98104, USA.ORCID 0000-0003-1571-7592
Jonathan HimmelfarbDepartment of Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA.ORCID 0000-0002-3319-1224
Matthias KretzlerDepartment of Medicine, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-4064-0582
Kidney Precision Medicine Project
Sanjay JainDepartment of Medicine, Washington University in Saint Louis, St. Louis, MO 63103, USA.ORCID 0000-0003-2804-127X
Michael T EadonDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0003-3066-2876
Seth WinfreeQuantitative Cancer Diagnostics (QCDx) LLC, Farmington, CT 06032, USA.ORCID 0000-0002-2396-5871
Tarek M El-AchkarDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0003-4645-3614
Pierre C DagherDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0003-3321-5561

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Central Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1M
KPMP Kidney Mapping and Atlas Project (KMAP)U01DK133090 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$10.4M
Kidney single cell and spatial molecular atlas project - KIDSSMAPU54DK134301 · NIDDK · WASHINGTON UNIVERSITY · PI ASHKAR, TAREK MAURICE, JAIN, SANJAY · 2022 to 2025
$7.8M
Integrated spatial interrogation of cellular and molecular signatures of human kidney diseaseU01DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Tarek Maurice Ashkar, Pierre C Dagher · 2022 to 2026
$5.4M
Single cell multiomic and spatial atlas of acute and chronic kidney injuryU01DK114933 · NIDDK · WASHINGTON UNIVERSITY · PI Sanjay Jain · 2022 to 2026
$5.0M
A Computational IMage Analysis Platform (CIMAP) for HuBMAPOT2OD033753 · OD · UNIVERSITY OF FLORIDA · PI JAIN, SANJAY, SARDER, PINAKI · 2022 to 2025
$4.9M
Resource Development CoreU54DK137328 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Pierre C Dagher · 2023 to 2026
$4.5M
Endotoxin preconditioning as a model to uncover protective pathways in sepsis-induced renal injury.R01DK107623 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Pierre C Dagher · 2016 to 2026
$4.4M
Spatial Multi-Omics to Profile Metabolic Pathways for Kidney DiseaseU01DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Christopher R Anderton, Kumar Sharma · 2022 to 2026
$3.9M
Boston Chronic Kidney Disease Research Biopsy CenterU01DK133092 · NIDDK · BOSTON MEDICAL CENTER · PI Sylvia E Rosas, Sushrut S. Waikar · 2022 to 2026
$3.5M
Multimodal Imaging Mass Spectrometry and Spatial Omics for the Human KidneyU01DK133766 · NIDDK · VANDERBILT UNIVERSITY · PI Jeffrey M Spraggins · 2022 to 2026
$3.4M
BLRD VA I01 BX003935NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK107623NIDDK NIH HHS U01 DK114866NIDDK NIH HHS U01 DK114907NIDDK NIH HHS U01 DK114908NIDDK NIH HHS U01 DK114920NIDDK NIH HHS U01 DK114923NIDDK NIH HHS U01 DK114933NIDDK NIH HHS U01 DK133081NIDDK NIH HHS U01 DK133090NIDDK NIH HHS U01 DK133091NIDDK NIH HHS U01 DK133092NIDDK NIH HHS U01 DK133093NIDDK NIH HHS U01 DK133095NIDDK NIH HHS U01 DK133097NIDDK NIH HHS U01 DK133113NIDDK NIH HHS U01 DK133766NIDDK NIH HHS U01 DK133768NIDDK NIH HHS U24 DK114886NIDDK NIH HHS U54 DK134301NIDDK NIH HHS U54 DK137328NIDDK NIH HHS UH3 DK114861NIDDK NIH HHS UH3 DK114915NIDDK NIH HHS UH3 DK114926NIDDK NIH HHS UH3 DK114937NIH HHS OT2 OD033753
6 · The paper itself

Abstract

The organizational principles of nephronal segments are based on anatomical and physiological attributes that are linked to the homeostatic functions of the kidney. Recent molecular approaches have uncovered layers of deeper signatures and states in tubular cells that arise at various time points on the disease trajectory. Here, we introduce an analytical pipeline of multiplexed spatial protein imaging integrated with RNA expression to characterize proximal tubular subpopulations and neighborhoods in human kidney tissue. We demonstrate that, in reference tissue, a large proportion of S1 proximal tubular epithelial cells expresses thymus antigen 1 (THY1), a mesenchymal stromal and stem cell marker that regulates differentiation. Kidney disease is associated with loss of THY1 and transition toward expression of prominin 1 (PROM1), another stem cell marker recently linked to failed repair. Our data support a model in which the interplay between THY1 and PROM1 expression in proximal tubules associates with their regenerative potential and marks the timeline of disease progression.

Indexed as

Kidney Tubules, ProximalRegenerationTranscriptomeAC133 AntigenBiomarkersCell DifferentiationEpithelial CellsGene Expression ProfilingHumansKidney DiseasesThy-1 AntigensAC133 AntigenBiomarkersPROM1 protein, humanThy-1 Antigens

Identifiers

PMID40815665
PMCPMC12356270

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.