Journal: Investigative Ophthalmology & Visual Science

Article Title: Neutrophil and T-Cell Homeostasis in the Closed Eye

doi: 10.1167/iovs.17-22449

Figure Lengend Snippet: Analysis of the T-cell populations from the closed eye following 1 vs. 7 hours of sleep. (A) Total number of CD3 + T cells, CD4 + helper T cells, CD8 + cytotoxic T cells, and Th17 cells measured by flow cytometry. (B) Relative percentage of all CD4 + T-helper cells out of all CD3 + T cells. (C) Relative percentage of all Th17 cells out of all CD4 + T cells. *P < 0.05, n = 9.

Article Snippet: Interdaily variations in flow cytometry acquisition were controlled for using the Application Settings feature in BD FACS Diva software.

Techniques: Flow Cytometry

Journal: BMC Bioinformatics

Article Title: A methodology for exploring biomarker – phenotype associations: application to flow cytometry data and systemic sclerosis clinical manifestations

doi: 10.1186/s12859-015-0722-x

Figure Lengend Snippet: Example random walk. Gene Set Enrichment Analysis random walk for a flow cytometry set comprised of 27 variables

Article Snippet: The methods utilized in the work involve: (1) clinical and peripheral blood flow cytometry data ( I mmune R esponse I n S cleroderma, IRIS) from consented patients followed at the Johns Hopkins Scleroderma Center. (2) machine learning (Conditional Random Forests - CRF) coupled with Gene Set Enrichment Analysis (GSEA) to identify subsets of FC variables that are highly effective in classifying ILD patients; and (3) stochastic simulation to design, train and validate ILD risk screening tools.

Techniques: Flow Cytometry