Evidence map›Paper›PMID 38347009›Full record

ArticleNature communications2024

Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing.

Nicolas Ledru, Parker C Wilson, Yoshiharu Muto, Yasuhiro Yoshimura, Haojia Wu, Dian Li, Amish Asthana, Stefan G Tullius, Sushrut S Waikar, Giuseppe Orlando and 1 more

Open access · goldAbstract 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 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
11.5field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 51 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Nicolas LedruDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-9237-3634
Parker C WilsonDivision of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0001-8647-9662
Yoshiharu MutoDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-0358-9442
Yasuhiro YoshimuraDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-3320-9869
Haojia WuDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7866-2544
Dian LiDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-5374-7314
Amish AsthanaDepartment of Surgery, Wake Forest Baptist Medical Center; Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston Salem, NC, USA.ORCID 0000-0002-4597-5982
Stefan G TulliusDivision of Transplant Surgery and Transplant Surgery Research Laboratory, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-3058-3166
Sushrut S WaikarSection of Nephrology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA.ORCID 0000-0003-4004-326X
Giuseppe OrlandoDepartment of Surgery, Wake Forest Baptist Medical Center; Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston Salem, NC, USA.
Benjamin D HumphreysDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA. humphreysbd@wustl.edu.ORCID 0000-0002-6420-8703
Washington University in St. Louis · USForest Institute · USBoston University · USBrigham and Women's Hospital · US

Funding

Nano Immune-Imaging CoreP01AI175397 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Peter The Sage · 2024 to 2026
$9.5M
Washington University Chronic KidneyDisease National Resource CenterU54DK137332 · NIDDK · WASHINGTON UNIVERSITY · PI BENJAMIN D. HUMPHREYS · 2023 to 2026
$4.5M
Single-cell analysis to promote kidney repairUC2DK126024 · NIDDK · WASHINGTON UNIVERSITY · PI HUMPHREYS, BENJAMIN D., KIM, JUNHYONG · 2020 to 2024
$3.7M
Boston Chronic Kidney Disease Research Biopsy CenterU01DK133092 · NIDDK · BOSTON MEDICAL CENTER · PI Sylvia E Rosas, Sushrut S. Waikar · 2022 to 2026
$3.5M
Senescent cells drive mt-DNA accumulation and inflamm-agingR01AG064165 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI TULLIUS, STEFAN GUNTHER · 2020 to 2024
$2.6M
The Single Cell Landscape of Early Human Diabetic NephropathyK08DK126847 · NIDDK · WASHINGTON UNIVERSITY · PI Parker C. Wilson · 2022 to 2026
$840k
The gene regulatory landscape of healthy and failed repair proximal tubule subpopulations in kidney diseaseF30DK132862 · NIDDK · WASHINGTON UNIVERSITY · PI LEDRU, NICOLAS HYUN · 2022 to 2024
$138k
NIAID NIH HHS P01 AI175397NIA NIH HHS R01 AG064165NIDDK NIH HHS F30 DK132862NIDDK NIH HHS K08 DK126847NIDDK NIH HHS U01 DK133092NIDDK NIH HHS U54 DK137332NIDDK NIH HHS UC2 DK126024
6 · The paper itself

Abstract

Renal proximal tubule epithelial cells have considerable intrinsic repair capacity following injury. However, a fraction of injured proximal tubule cells fails to undergo normal repair and assumes a proinflammatory and profibrotic phenotype that may promote fibrosis and chronic kidney disease. The healthy to failed repair change is marked by cell state-specific transcriptomic and epigenomic changes. Single nucleus joint RNA- and ATAC-seq sequencing offers an opportunity to study the gene regulatory networks underpinning these changes in order to identify key regulatory drivers. We develop a regularized regression approach to construct genome-wide parametric gene regulatory networks using multiomic datasets. We generate a single nucleus multiomic dataset from seven adult human kidney samples and apply our method to study drivers of a failed injury response associated with kidney disease. We demonstrate that our approach is a highly effective tool for predicting key cis- and trans-regulatory elements underpinning the healthy to failed repair transition and use it to identify NFAT5 as a driver of the maladaptive proximal tubule state.

Indexed as

MultiomicsRenal Insufficiency, ChronicAdultEpithelial CellsHumansKidneyKidney Tubules, Proximal

Identifiers

PMID38347009
PMCPMC10861555
OpenAlexW4391766814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.