Evidence map›Paper›PMID 31249312›Full record

ArticleNature communications2019

A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys.

Blue B Lake, Song Chen, Masato Hoshi, Nongluk Plongthongkum, Diane Salamon, Amanda Knoten, Anitha Vijayan, Ramakrishna Venkatesh, Eric H Kim, Derek Gao and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 3 pooled it
15.7field-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

182 citing papers in PubMed, 3 syntheses or guidelines pooled it, 293 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Targeting a Novel AREGCell proliferation · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A population-scale atlas of blood and tissue in lupus nephritis.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Review

122 more citing papers are in PubMed but not listed here.

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

13 authors at 2 institutions in 2 countries.

Blue B LakeDepartment of Bioengineering, University of California, San Diego, La Jolla, 92093, CA, USA.ORCID http://orcid.org/0000-0002-8637-9044
Song ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, 92093, CA, USA.
Masato HoshiDepartment of Medicine (Renal), Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, MO, USA.ORCID http://orcid.org/0000-0003-2874-1807
Nongluk PlongthongkumDepartment of Bioengineering, University of California, San Diego, La Jolla, 92093, CA, USA.
Diane SalamonDepartment of Medicine (Renal), Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, MO, USA.
Amanda KnotenDepartment of Medicine (Renal), Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, MO, USA.
Anitha VijayanDepartment of Medicine (Renal), Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, MO, USA.
Ramakrishna VenkateshDepartment of Surgery (Urology), Washington University School of Medicine, St. Louis, 63110, MO, USA.
Eric H KimDepartment of Surgery (Urology), Washington University School of Medicine, St. Louis, 63110, MO, USA.
Derek GaoDepartment of Bioengineering, University of California, San Diego, La Jolla, 92093, CA, USA.
Joseph GautDepartment of Medicine (Renal), Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, MO, USA.
Kun ZhangDepartment of Bioengineering, University of California, San Diego, La Jolla, 92093, CA, USA. kzhang@bioeng.ucsd.edu.ORCID http://orcid.org/0000-0002-7596-5224
Sanjay JainDepartment of Medicine (Renal), Pathology and Immunology, Washington University School of Medicine, St. Louis, 63110, MO, USA. sanjayjain@wustl.edu.ORCID http://orcid.org/0000-0003-2804-127X
Washington University in St. Louis · USUniversity of California San Diego · US

Funding

ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0M
Organ Specific ProjectU54HL145608 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SOLDATOV, RUSLAN · 2018 to 2021
$5.6M
Single cell multiomic and spatial atlas of acute and chronic kidney injuryU01DK114933 · NIDDK · WASHINGTON UNIVERSITY · PI Sanjay Jain · 2022 to 2026
$5.0M
NOVEL MECHANISMS REGULATING LOWER URINARY TRACT DEVELOPMENT AND INNERVATIONR01DK082531 · NIDDK · WASHINGTON UNIVERSITY · PI JAIN, SANJAY · 2009 to 2018
$3.3M
Single-nucleus sequencing and in situ mapping of mRNA molecules in human kidneyUH3DK114933 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, SANJAY, ZHANG, KUN · 2019 to 2021
$1.8M
"Regulatory 'T' Cell Control of Autoimmune Diabetes".R01DK085231 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TANG, QIZHI · 2010 to 2014
$1.6M
Single-nucleus sequencing and in situ mapping of mRNA molecules in human kidneyUG3DK114933 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, SANJAY, ZHANG, KUN · 2017 to 2018
$882k
NHLBI NIH HHS U54 HL145608NIDDK NIH HHS R01 DK082531NIDDK NIH HHS R01 DK085231NIDDK NIH HHS U01 DK114933NIDDK NIH HHS U2C DK114886NIDDK NIH HHS UG3 DK114933NIDDK NIH HHS UH3 DK114933U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) DK085231U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) DK114933
6 · The paper itself

Abstract

Defining cellular and molecular identities within the kidney is necessary to understand its organization and function in health and disease. Here we demonstrate a reproducible method with minimal artifacts for single-nucleus Droplet-based RNA sequencing (snDrop-Seq) that we use to resolve thirty distinct cell populations in human adult kidney. We define molecular transition states along more than ten nephron segments spanning two major kidney regions. We further delineate cell type-specific expression of genes associated with chronic kidney disease, diabetes and hypertension, providing insight into possible targeted therapies. This includes expression of a hypertension-associated mechano-sensory ion channel in mesangial cells, and identification of proximal tubule cell populations defined by pathogenic expression signatures. Our fully optimized, quality-controlled transcriptomic profiling pipeline constitutes a tool for the generation of healthy and diseased molecular atlases applicable to clinical samples.

Indexed as

AgedCell NucleusFemaleGene Expression ProfilingHumansKidneyKidney DiseasesMaleMesangial CellsMiddle AgedSequence Analysis, RNASingle-Cell Analysis

Identifiers

PMID31249312
PMCPMC6597610
OpenAlexW2954186030

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.