Performing integrated systems biology

Molecular-based disease stratification

Identifying disease predictors and therapeutic targets

Creating translational research pipelines

Explore our Single-cell RNA-Seq Data with Nephrocell

Nephrocell is a web application for querying gene expression levels across our collection of human kidney and human kidney organoid single-cell datasets generated by the Michigan Kidney Translational Medicine Core (MiKTMC).

Nephrocell data has been featured in a recent JCI Insight article.

Open Nephrocell

Integrated systems biology approach figure

OUR INTEGRATED SYSTEMS BIOLOGY APPROACH

We are working towards molecular-based disease stratification.

Our general approach involves correlating clinical, molecular, and histopathologic phenotyping, along with validation in model systems.

RESEARCH NEWS

The Value of Kidney Biopsies to Empower New Discoveries in Diabetic Kidney Disease: Insight into COVID-19 kidney damage

Jun 11, 2020

SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney injury [KI in review]

May 13, 2020

Making patients resilient to COVID-19: Lessons to be learned from kidney single cell analysis

Apr 14, 2020

Matthias Kretzler presents an infrastructure to study a specific set of kidney rare diseases at Rare Disease Day.

Feb 21, 2020

Single Cell RNAseq Data Identifies Potential Endothelial Marker of FSGS Remission

Feb 17, 2020

The Kidney Precision Medicine Project (KPMP) and the Nephrotic Syndrome Study Network (NEPTUNE) recently published a landmark study in the journal JCI Insight. This work highlights the relevance of a new and emerging technology in exposing underlying mechanisms...