Evidence map›Paper›PMID 39237549›Full record

ArticleNature communications2024

Spatial transcriptomics defines injury specific microenvironments and cellular interactions in kidney regeneration and disease.

Michal Polonsky, Louisa M S Gerhardt, Jina Yun, Kari Koppitch, Katsuya Lex Colón, Henry Amrhein, Barbara Wold, Shiwei Zheng, Guo-Cheng Yuan, Matt Thomson and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Spatial Atlas Creation at the Single Cell Level: Unveiling the Human Kidney Metaverse.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Michal Polonsky *Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-3871-460X
Louisa M S Gerhardt *Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Jina YunDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Kari KoppitchDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Katsuya Lex ColónDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Henry AmrheinDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Barbara WoldDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-3235-8130
Shiwei ZhengDepartment of Genetics and Genomic Sciences and Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Guo-Cheng YuanDepartment of Genetics and Genomic Sciences and Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-2283-4714
Matt ThomsonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-1021-1234
Long CaiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. lcai@caltech.edu.ORCID 0000-0002-7154-5361
Andrew P McMahonDepartment of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA. amcmahon@med.usc.edu.ORCID 0000-0002-3779-1729

Funding

Single-cell analysis to promote kidney repairUC2DK126024 · NIDDK · WASHINGTON UNIVERSITY · PI HUMPHREYS, BENJAMIN D., KIM, JUNHYONG · 2020 to 2024
$3.7M
NIDDK NIH HHS UC2 DK126024
6 · The paper itself

Abstract

Kidney injury disrupts the intricate renal architecture and triggers limited regeneration, together with injury-invoked inflammation and fibrosis. Deciphering the molecular pathways and cellular interactions driving these processes is challenging due to the complex tissue structure. Here, we apply single cell spatial transcriptomics to examine ischemia-reperfusion injury in the mouse kidney. Spatial transcriptomics reveals injury-specific and spatially-dependent gene expression patterns in distinct cellular microenvironments within the kidney and predicts Clcf1-Crfl1 in a molecular interplay between persistently injured proximal tubule cells and their neighboring fibroblasts. Immune cell types play a critical role in organ repair. Spatial analysis identifies cellular microenvironments resembling early tertiary lymphoid structures and associated molecular pathways. Collectively, this study supports a focus on molecular interactions in cellular microenvironments to enhance understanding of injury, repair and disease.

Indexed as

Cell CommunicationCellular MicroenvironmentKidneyRegenerationReperfusion InjuryTranscriptomeAnimalsFibroblastsFibrosisGene Expression ProfilingKidney Tubules, ProximalMaleMiceMice, Inbred C57BLSingle-Cell Analysis

Identifiers

PMID39237549
PMCPMC11377535

What OpenQuestion 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 OpenQuestion graph.