Proteomics of prostate inflammation mouse model


Collaborating Investigator/s

William Ricke (University of Wisconsin-Madison)


The project required detection of protein changes in urine – a protein-poor sample type that is precious and difficult to obtain in in sufficient quantities.

DiLeu tagging allowed to pool samples from multiple animals, thus decreasing the amount of protein and urine needed to be obtained from any single animal and simplifying the sample collection. This strategy for reduction of required sample amounts could be used in the future studies using even more challenging and precious samples.