Evidence map›Paper›PMID 42533102›Full record

ArticleNature genetics2026

Single-cell spatial mapping of human kidney development implicates the microenvironment in guiding cell fate decisions.

Jonathan Levinsohn, Samuel Grindel, Bernhard Dumoulin, Amin Abedini, Carolina Conte, Aria Zheyuan Huang, Rena Levin-Klein, Boaz Weisz, Grace Rabinowitz, Andi M Bergeson and 14 more

Abstract read
In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

24 authors.

Jonathan Levinsohn *Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Samuel Grindel *Penn/CHOP Kidney Innovation Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8280-312X
Bernhard DumoulinRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Amin AbediniRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-8875-0070
Carolina ConteNephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy.
Aria Zheyuan HuangPenn/CHOP Kidney Innovation Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0009-3042-3171
Rena Levin-KleinKidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Aviv, Israel.ORCID http://orcid.org/0000-0001-7067-2185
Boaz WeiszKidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Aviv, Israel.
Grace RabinowitzKidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Aviv, Israel.
Andi M BergesonRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0008-8128-6974
Eunji HaRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8618-8347
Konstantin A KlötzerRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Nancy ZhangDepartment of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-0880-5749
Paul TitchenellInstitute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Mingyao LiDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8180-0621
Joo-Seop ParkDivision of Nephrology and Hypertension, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-4190-4386
Juan Pablo ArroyoDivision of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-5992-5011
Laura S FinnDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0006-0268-3679
Kotaro SasakiDepartment of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, USA.
Pazit BeckermanKidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Aviv, Israel.ORCID http://orcid.org/0000-0003-3061-6757
Oren PleniceanuKidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Aviv, Israel.
Paola RomagnaniNephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy.ORCID http://orcid.org/0000-0002-1774-8088
Alex J Hughes *Penn/CHOP Kidney Innovation Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-6801-3455
Katalin Susztak *Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA. ksusztak@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-1005-3726

Funding

Training CoreTL1DK143326 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Wei Tong · 2024 to 2026
$2.5M
Rhythmic pace-making of nephron induction for renal replacement tissuesR01DK140070 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Alex Hughes · 2024 to 2026
$2.1M
The Philadelphia Program for Mentored Research Training in Kidney, Urologic, and Hematologic Diseases (PERFORM-KUH U2C/Tl1)U2CDK136784 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Michelle Denburg · 2024 to 2026
$1.8M
NIDDK NIH HHS R01 DK140070NIDDK NIH HHS TL1 DK143326NIDDK NIH HHS U2C DK136784U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DK140070U.S. Department of Health & Human Services | National Institutes of Health (NIH) TL1 DK143326
6 · The paper itself

Abstract

Evolution has used cell-cell communication as a strategy to coordinate organ development, enabling the reproducible generation of intricate structures. Classically, these interactions have been studied one at a time in model organisms, limiting our understanding of how cellular interplay coordinates human development. We investigated human kidney development using single-cell RNA sequencing and spatial transcriptomics, analyzing over 700,000 cells. By mapping gene expression and differentiation trajectories in space, we define the spatial organization of kidney development. Our analysis revealed unrecognized plasticity, showing that cell fate established during early patterning can be later revised. This plasticity provides a potential mechanism for how cell fate is robustly established in complex patterned tissues. Additionally, through a genome-wide, spatially aware cell-cell interaction analysis, we link localized ligand signals to cell fate decisions. We also define biologically meaningful cellular neighborhoods based on aggregated extracellular cues, providing a blueprint to understand the coordination of human development at scale.

Indexed as

Cell DifferentiationCellular MicroenvironmentKidneyOrganogenesisSingle-Cell AnalysisCell CommunicationCell LineageGene Expression Regulation, DevelopmentalHumansSingle-Cell Gene Expression AnalysisSpatial Transcriptomics

Identifiers

PMID42533102
PMCPMC13447095

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.