Flow Cytometry Data for EMT/MET Tracing of CD24 Subpopulations

Flow cytometry data from experiments tracing epithelial-mesenchymal transition (EMT) and its reversal (MET) in CD24 cell subpopulations. The dataset includes analysis and sorting data from experiments using specific antibodies and instruments like the BD Fortessa SORP and Symphony A5SE. It was authored by Yongjie Lin and last updated on 2026-04-29.

Use Cases

• Analyzing cell surface marker expression (e.g., CD24, EPCAM, CD44) based on the described antibody staining protocols.
• Studying EMT/MET dynamics in cancer cell populations based on the described tracing experiment.
• Developing computational models for flow cytometry data analysis based on the t-SNE projections mentioned.
• Investigating the effects of epigenetic perturbations (e.g., tazemetostat, GSK-3685032) on cell phenotypes.

Strengths

• Includes data from specific, detailed experimental protocols using named antibodies and instruments.
• Covers multiple experimental conditions, including EMT induction with TGFβ and epigenetic perturbation.
• Data was analyzed using a standard tool (FlowJo V10), suggesting a degree of processing consistency.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description is highly technical but does not specify the number of samples or biological replicates.

Provenance

Source

figshare

Collection Method

Experimental data from flow cytometry analysis and cell sorting.

Freshness

Last updated 2026-04-29 06:48:29; freshness should be verified.