Evidence map›Paper›PMID 31492807›Full record

ArticleJournal of the American Society of Nephrology : JASN2019

A Toolbox to Characterize Human Induced Pluripotent Stem Cell-Derived Kidney Cell Types and Organoids.

Jessica M Vanslambrouck, Sean B Wilson, Ker Sin Tan, Joanne Y-C Soo, Michelle Scurr, H Siebe Spijker, Lakshi T Starks, Amber Neilson, Xiaoxia Cui, Sanjay Jain and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 66 citations in OpenAlex.

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  19. 3D Bioprinting for Next-Generation Personalized Medicine.International journal of molecular sciences · 2023
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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

12 authors at 4 institutions in 3 countries.

Jessica M VanslambrouckMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
Sean B WilsonMurdoch Children's Research Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-8994-0781
Ker Sin TanMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
Joanne Y-C SooMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
Michelle ScurrMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
H Siebe SpijkerMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
Lakshi T StarksMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
Amber NeilsonDepartment of Genetics, Genome Engineering and iPSC Center and.
Xiaoxia CuiDepartment of Genetics, Genome Engineering and iPSC Center and.
Sanjay JainDepartment of Medicine, Kidney Translational Research Center, Washington University School of Medicine, St. Louis, Missouri; and.
Melissa Helen LittleMurdoch Children's Research Institute, Melbourne, Victoria, Australia; melissa.little@mcri.edu.au.
Sara E HowdenMurdoch Children's Research Institute, Melbourne, Victoria, Australia.
Murdoch Children's Research Institute · AULeiden University Medical Center · NLThe University of Melbourne · AUWashington University in St. Louis · US

Funding

The USC (Re)Building the Kidney Coordinating CenterU01DK107350 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL, VALERIUS, MICHAEL TODD · 2015 to 2019
$9.0M
Generating kidney organoids and mature renal cell types via directed iPSC differentiationUH3DK107344 · NIDDK · MURDOCH CHILDREN'S RESEARCH INSTITUTE · PI LITTLE, MELISSA HELEN · 2017 to 2019
$1.0M
Generating kidney organoids and mature renal cell types via directed iPSC differentiationUH2DK107344 · NIDDK · MURDOCH CHILDREN'S RESEARCH INSTITUTE · PI LITTLE, MELISSA HELEN · 2015 to 2016
$691k
NIDDK NIH HHS U01 DK107350NIDDK NIH HHS UH2 DK107344NIDDK NIH HHS UH3 DK107344
6 · The paper itself

Abstract

backgroundThe generation of reporter lines for cell identity, lineage, and physiologic state has provided a powerful tool in advancing the dissection of mouse kidney morphogenesis at a molecular level. Although use of this approach is not an option for studying human development

methodsWe used CRISPR/Cas9 gene editing to generate ten fluorescence reporter iPSC lines designed to identify nephron progenitors, podocytes, proximal and distal nephron, and ureteric epithelium. Directed differentiation to kidney organoids was performed according to published protocols. Using immunofluorescence and live confocal microscopy, flow cytometry, and cell sorting techniques, we investigated organoid patterning and reporter expression characteristics.

resultsEach iPSC reporter line formed well patterned kidney organoids. All reporter lines showed congruence of endogenous gene and protein expression, enabling isolation and characterization of kidney cell types of interest. We also demonstrated successful application of reporter lines for time-lapse imaging and mouse transplantation experiments.

conclusionsWe generated, validated, and applied a suite of fluorescence iPSC reporter lines for the study of morphogenesis within human kidney organoids. This fluorescent iPSC reporter toolbox enables the visualization and isolation of key populations in forming kidney organoids, facilitating a range of applications, including cellular isolation, time-lapse imaging, protocol optimization, and lineage-tracing approaches. These tools offer promise for enhancing our understanding of this model system and its correspondence with human kidney morphogenesis.

Indexed as

Induced Pluripotent Stem CellsOrganoidsAnimalsFemaleKidneyMiceOrganogenesiskidney developmentmolecular biologystem cell

Identifiers

PMID31492807
PMCPMC6779359
OpenAlexW2971570665

What OpenQuestion holds

Textmetadata
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.