ESC
Flow Cytometry

Multiparameter Immune Profiling

I design and execute multicolor flow cytometry panels to profile lymphocyte and myeloid populations across tissues in WT and LRRK2 mouse models of Parkinson's disease, quantifying immune cell frequencies, activation states, and proliferative responses to PBS, PFF, and compound X1 treatments.

Multicolor Flow Cytometry Immune Profiling T-cell / B-cell Panels Myeloid Panels Ki67 Proliferation Lymph Node & Spleen WT vs LRRK2
01

Cell Population Frequencies

Panel 1 quantifies CD4+ T cells, CD8+ T cells, B cells, Tregs, and Ki67+ proliferating subsets across WT and LRRK2 genotypes treated with PBS, PFF, or compound X1. Bar charts show group means with SEM error bars and individual animal data points overlaid.

6
Treatment groups (WT/LRRK2 × 3 treatments)
7
Cell populations profiled per panel
2
Tissue types (LN & Spleen)
Lymph Node — Panel 1 cell population frequencies by strain and treatment. Hover for exact values; individual data points shown.
02

Fluorescence Distributions

Arcsinh-transformed fluorescence histograms for Panel 3 myeloid markers — Ki67, CD11c, CD11b, F4/80, Ly6G, Ly6C — with all specimens overlaid and the unstained control shown as a dashed black line. These distributions reveal marker expression levels and the separation between positive and negative populations.

Lymph Node — Panel 3 myeloid marker histograms. Click legend entries to toggle individual samples on/off.
03

FSC / SSC Scatter

Forward scatter (FSC-A) vs side scatter (SSC-A) dot plots are the first step in the gating hierarchy, used to identify the main cell population and exclude debris and doublets before downstream immune phenotyping.

Spleen — Panel 1 FSC vs SSC scatter plot. Click-drag to zoom into gating regions.