High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.

ABSTRACT:

Introduction

Immunophenotyping is a powerful tool for grading disease severity, aiding in diagnosis, predicting clinical response, and guiding the development of novel therapeutics.

Methods

This pilot study employs high parameter immunophenotyping panels (15 markers for dog, 12 for cat) and leverages unsupervised clustering to identify immune cell populations. Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. This method reduces user bias and precisely identifies cell populations, demonstrating its potential to detect variations and differentiate populations effectively. To enhance our understanding of cat and dog biology and test the unsup

SUBMITTER: McDonald E 

PROVIDER: S-EPMC11795398 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature