Evidence map›Paper›PMID 38045285›Full record

ArticlebioRxiv : the preprint server for biology2023

Spatial transcriptomics defines injury-specific microenvironments in the adult mouse kidney and novel cellular interactions in regeneration and disease.

Michal Polonsky, Louisa M S Gerhardt, Jina Yun, Kari Koppitch, Katsuya Lex Colón, Henry Amrhein, Shiwei Zheng, Guo-Cheng Yuan, Matt Thomson, Long Cai and 1 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Michal PolonskyDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0003-3871-460X
Louisa M S GerhardtDepartment 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.
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.
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.
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.
Matt ThomsonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Long CaiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.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.ORCID 0000-0002-3779-1729
California Institute of Technology · USUniversity of Southern California · USIcahn School of Medicine at Mount Sinai · US

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, and injury-invoked inflammation and fibrosis. Deciphering molecular pathways and cellular interactions driving these processes is challenging due to the complex renal architecture. Here, we applied single cell spatial transcriptomics to examine ischemia-reperfusion injury in the mouse kidney. Spatial transcriptomics revealed injury-specific and spatially-dependent gene expression patterns in distinct cellular microenvironments within the kidney and predicted

Identifiers

PMID38045285
PMCPMC10690238
OpenAlexW4388923951

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.