Flow Cytometry Antibody Panels for Porcine Lung Transplant Immunology

A 2026 dataset by Allen Duong contains flow cytometry antibody panels used to analyze immune cell infiltration in porcine lung transplant models. The dataset likely includes antibody markers and cell counts from experiments comparing 4-hour and 72-hour reperfusion groups to a control. It supports immunological analysis in preclinical transplantation research.

Use Cases

• Analyzing myeloid cell infiltration patterns based on neutrophil and monocyte counts mentioned in the description
• Studying T cell activation states based on CD25 expression and memory phenotype markers
• Comparing immune response timelines between short-term (4h) and longer-term (72h) reperfusion models
• Evaluating the utility of specific anti-porcine antibody panels for flow cytometry in transplantation research

Strengths

• Data is derived from a controlled experimental design with defined groups (4h reperfusion n=7, 72h survival n=6, control n=6)
• Focuses on a porcine model, which the description states better simulates physiological conditions for clinical translation
• Includes analysis of specific immune cell populations (neutrophils, CD14+ monocytes, CD14-CD163+ monocytes, dendritic cells, T cells) and activation markers

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is very small (9.5 KB), indicating limited scope or a summary format

Provenance

Source

Allen Duong via figshare

Collection Method

Data generated from flow cytometry analysis of single-cell suspensions from porcine lung transplant samples.

Time Range

Experimental data from studies with 4-hour and 72-hour observation periods.

Freshness

Last updated 2026-05-21 17:36:04