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Human iPSC-Derived Renal Proximal Tubular Cells (Male)

£400 while stocks last

 
Human iPSC-Derived Renal Proximal Tubular Cells (male).


Product Code: ax2115 Categories: .

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Description

Axol has developed iPSC-Derived Renal Proximal Tubular Cells that reveal high predictivity of nephrotoxicity and resemble primary human renal proximal tubular cells in their marker expression and functionality

Human iPSC-Derived Renal Proximal Tubular Cells are generated by the up-regulation of specific signalling pathways in Axol iPS cells, which result in the increased gene expression of kidney specific markers.

Gene expression profiling of Axol iPSC-Derived Renal Proximal Tubular Cells revealed that these cells express markers of renal proximal tubular cells such as GGT and CD13 and transporters OAT1, OAT3, OCT2, SGLT2 and PEPT1 at similar if not greater levels when compared to primary human renal proximal tubular cells. The expression of these genes are critical for functionality in applications such as toxicology studies where transporter mediated drug uptake and drug induced interleukin expression can be investigated.


Product Specification

Starting material Cord blood CD34+ cells
Donor gender Male
Donor age at sampling Newborn
HLA serotype A29 A68, B38(Bw4) B44(Bw4), Cw8 Cw12
Karyotype Normal
Reprogramming method Episomal vector
Genetic modification None
Size ≥1 million cells
Growth properties Adherent
Shipping conditions Dry ice
Storage conditions vapour phase nitrogen

Frequently Asked Questions

human iPSC-derived renal proximal tubule cells can be cultured for a maximum of 6 days but assays are best conducted at day 4 of culture. This allows for a 72 hour experiment looking at the exposure to drugs.

Unfortunately, the cryopreservation of the cells will prevent dome formation.

Axol have shown that if the RTPCs are seeded at a high density of 50,000 cells/cm2, a confluent monolayer will form generating a simple single cell layer epithelium similar to representative of human kidney RTPCs/renal epithelium.

Endocytosis

Technical Resources

References

  • K. Kandasamy, JK. Chuah, R. Su, P. Huang , KG. Eng , S. Xiong , Y. Li , CS Chia , LH. Loo & D. Zink, Prediction of drug-induced nephrotoxicity and injury mechanisms with human induced pluripotent stem cell-derived cells and machine learning methods, Scientific Reports (2015)