TP53 Deficiency Transcriptomic Signature Correlating with CAR-T Cell Exhaustion

Yu Wang's dataset contains transcriptomic data from an in vitro study of TP53-deficient B-ALL cells. The data likely includes RNA-seq profiles showing a low-adhesion signature and correlates with accelerated CAR-T cell exhaustion. The dataset was last updated on 2026-05-28 and is licensed under CC-BY-4.0.

Use Cases

• Analyze transcriptomic signatures of TP53-deficient B-ALL cells based on RNA-seq data
• Investigate correlations between adhesion gene expression and CAR-T cell exhaustion phenotypes
• Model tumor-intrinsic resistance mechanisms in B-ALL based on immunogenic signaling pathway data

Strengths

• Dataset is derived from a controlled CRISPR/Cas9-engineered isogenic model, likely providing clean experimental comparisons
• Includes transcriptomic profiling via RNA-seq, a standard high-resolution method
• Focuses on a specific, clinically relevant mechanism of TP53-mediated CAR-T resistance

Limitations

• Dataset size is 71.1 KB, indicating a very limited scope or subset of data
• Row count and column-level documentation are unknown, requiring manual inspection after download
• Data is from in vitro models only; findings require in vivo validation

Provenance

Source

figshare

Collection Method

Data generated from CRISPR/Cas9-engineered TP53-wildtype and TP53-knockout NALM-6 B-ALL cell models and RNA-seq profiling.

Freshness

Last updated 2026-05-28 05:57:47