ArticleMethods in molecular biology (Clifton, N.J.)2023
Large-Scale Production of Kidney Organoids from Human Pluripotent Stem Cells.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Scalable Matrigel-Free Suspension Culture for Generating High-Quality Human Liver Ductal Organoids.Cell proliferation · 2025Article
- The biogenesis of potassium transporters: implications of disease-associated mutations.Critical reviews in biochemistry and molecular biologyReview
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Authors and funding
4 authors.
Funding
Abstract
Kidney organoids differentiated from human pluripotent stem cells (hPSC) have advanced the study of kidney diseases by providing an in vitro system that outperforms traditional monolayer cell culture and complements animal models. This chapter describes a simple two-stage protocol that generates kidney organoids in suspension culture in less than 2 weeks. In the first stage, hPSC colonies are differentiated into nephrogenic mesoderm. In the second stage of the protocol, renal cell lineages develop and self-organize into kidney organoids that contain fetal-like nephrons with proximal and distal tubule segmentation. A single assay generates up to 1000 organoids, thereby providing a rapid and cost-efficient method for the bulk production of human kidney tissue. Applications include the study of fetal kidney development, genetic disease modelling, nephrotoxicity screening, and drug development.
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Registered trials
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.