Human iPSC and Organoid Core
The induced pluripotent stem cells (iPSC) core has set up an infrastructure of inter-institutional regulatory approvals to provide a number of human iPSC cell lines including parent and lineage and cell type specific reporter lines that can be differentiated into various kidney cell types. These cell lines are distributed throughout the world for various aspects of kidney development, disease modelling and tissue engineering.
Services
Request iPSC cell lines
Use iPSC cell lines and organoids to model kidney disease, discover mechanisms, rebuild kidneys, and screen for new drug treatments.
Just-in-time funding
iPSC & organoid research funding
GESC@MGI
The PCEN offers a subsidy for your iPSC or organoid work. Request a JIT voucher to use toward your iPSC research using GESC@MGI from our Biomedical Core.
Human cells, tissues & organoids research funding
Center of Regenerative Medicine
The PCEN offers a subsidy for your iPSC or organoid work. Request a JIT voucher to use toward your iPSC research from the Human Cells, Tissues, and Organoids Core from the Center of Regenerative Medicine.
Director

Sanjay Jain, MD, PhD
Professor of Medicine, Nephrology
Professor of Pediatrics, Molecular Genetics and Genomics Program
Director Kidney Translational Research Center
WashU Medicine
Sanjay Jain is a Professor of Medicine, Pediatrics and Pathology & Immunology at the Washington University School of Medicine in St. Louis, Missouri, USA (WUSM). His laboratory focuses on how kidneys and the lower urinary tract develop and organize to maintain homeostasis across lifespan in health and disease. His has defined key developmental pathways and mechanisms that regulate the joining of primitive ureter and bladder, initiation of the collecting system and branching morphogenesis of the kidney and genetic mutations associated with CAKUT. He leads multiple NIH-sponsored atlas efforts to map healthy and disease states in the human kidney including HuBMAP, KPMP, RBK/GUDMAP and Pediatric Center of Excellence in Nephrology. The team has identified, validated and mapped ~100 cell identities in the kidney including healthy and injured cells and defined genes and pathways that help recovery or predict decline in kidney function.