In Vitro T Cell Exhaustion Model Data with CRISPR Editing and Cytokine Profiling

Data from a 2026 study establishing an in vitro model of T cell exhaustion using repeated stimulation of human CD8+ and CD4+ T cells. The dataset, authored by Hilal Saraç and shared on figshare, includes results from flow cytometry, cytokine profiling, spectral flow cytometry, and single-cell RNA sequencing to assess exhaustion states and the effects of RASA2 gene editing.

Use Cases

• Analyze changes in inhibitory receptor expression (PD-1, Tim-3) based on flow cytometry data mentioned in the description
• Compare cytokine secretion profiles (IL-2, TNF-α, IFN-γ) between exhausted and control T cells
• Investigate the differential functional impact of RASA2 depletion in CD4+ versus CD8+ T cell compartments
• Model T cell exhaustion trajectories using pseudotime analysis from the scRNA-seq data described

Strengths

• Includes multi-modal experimental data: flow cytometry, cytokine profiling, spectral flow cytometry, and scRNA-seq
• Reports a specific quantitative result: ~65% RASA2 loss achieved via direct editing of exhausted T cells
• Released under a permissive CC-BY-4.0 license for reuse

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 (33.7 KB), suggesting it is likely a summary or supplementary data sheet rather than raw experimental data

Provenance

Source

figshare

Collection Method

Data generated from in vitro experiments with primary human T cells, including chronic stimulation protocols and CRISPR–Cas9 RNP editing.

Time Range

Experimental data from a study published in 2026.

Freshness

Last updated 2026-03 17 13:05:16

Geography

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