Published May 29, 2024 | Version V1
Dataset Restricted

Human Pluripotent Stem Cell-derived Adrenocortical Cells Model KCNJ5 Mutation in Primary Aldosteronism

  • 1. Center of Functional Genomics, Berlin Institute of Health at Charité
  • 2. Stem Cell Core Facility, Berlin Institute of Health at Charité
  • 3. ROR icon Max Delbrück Center
  • 4. Institute of Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin
  • 5. Kinder- und Jugendklinik, Klinisches Labor, Universitätsklinikum Erlangen
  • 6. Departments of Clinical Chemistry and Laboratory Medicine, Universitätsklinikum Carl Gustav Carus
  • 7. Institute for Vegetative Anatomy, Charité - Universitätsmedizin Berlin
  • 8. Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin

Description

Our study aimed to create a more effective model for researching adrenocortical diseases by improving the differentiation process of human induced pluripotent stem cells (hiPSCs) into adrenocortical cells. We wanted a system that mimics natural hormone production and allows for easy genetic manipulation. By expressing a key factor, steroidogenic factor-1 (SF-1), and adding essential niche factors, we successfully generated cells that produce adrenal steroids like aldosterone. These cells showed gene expression patterns similar to those of fetal and adult adrenal cortex cells, responded to natural stimuli, and kept their ability to proliferate. By using CRISPR/Cas9 to introduce a KCNJ5 mutation associated with primary aldosteronism, we observed increased aldosterone production and cell growth, which are crucial for studying tumor development. This new system offers a valuable tool for better understanding adrenocortical diseases and developing new treatments.

Here, we provide our annotated single-cell RNA sequencing data as a Seurat object (Seurat v5.0.1).

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Please contact Prof. Dr. med. Ute I. Scholl to get access to the data.

ute.scholl@bih-charite.de

You are currently not logged in. Do you have an account? Log in here

Additional details

Software

Programming language
R