Indicates the data was finalized or archived in December 2022. 2. Expected Archive Contents
R or Python scripts used for differential expression analysis or signaling pathway modeling.
Studying the PI3K/AKT/mTOR pathway to understand its role in diseases like cancer or metabolic syndrome.
README.txt or manifest.json files defining the experimental conditions, cell lines used (e.g., CL1-0 or CL1-5), and treatments applied.
Identifying how specific kinase inhibitors (like EGFR or PI3K inhibitors) affect AKT signaling in various cell lines.
While the specific file may be internal to a research institution or a journal supplement, a "useful report" on such a dataset typically includes:
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