6-hour time point data on gene expression changes in T-cells following CD3/CD28 stimulation, with and without the Akt inhibitor Akti1/2. The dataset, authored by Jing Cheng and sourced from paperswithcode, lists genes significantly modulated under different inhibitor conditions. It is available under an Open Access (green) license.
Use Cases
- Identify genes sensitive to Akt inhibition during T-cell activation based on the differential modulation described.
- Analyze signaling pathways downstream of CD3/CD28 stimulation based on the gene lists categorized by inhibitor effect.
- Validate computational models of T-cell receptor signaling using the experimental perturbation data described.
Strengths
- Experimental design includes a clear 6-hour time point and a specific pharmacological inhibitor (Akti1/2).
- Data is logically categorized into three distinct gene lists based on response to stimulation and inhibitor.
Limitations
- Row count and dataset scale are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- paperswithcode
- Collection Method
- Likely derived from gene expression analysis (e.g., RNA-seq or microarray) of stimulated T-cells.