Quantifying In Situ Adaptive Immunity in Human Tubulointerstitial Lupus Nephritis
Abstract
The specific goals of this grant are to use high-dimensional (16 primary antibodies or more) multicolor confocal microscopy to describe the frequency and spatial distributions of the different types of immune cells infiltrating the lupus kidney (Aim 1). We will then use machine learning approaches, including CDM3, to quantify the true complexity of inflammation and identify functional relationships between different T cell populations and the cells that are presenting antigen, and therefore activating, pathogenic T cells (Aim 2). By understanding which cells, functional relationships and mechanisms are associated with progression to renal failure, we will both identify new therapeutic targets and the patients for which such therapies are likely to be efficacious.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2021
- Accession Number
- AD1155413
Entities
People
- Marcus R Clark
Organizations
- University of Chicago