Comparative Proteomic Analysis of Colorectal Cancer Stem Cells from Two Cell Lines

A proteomic dataset comparing cancer stem cell-enriched spheroids to parental adherent cells from SW620 and HCT-116 colorectal cancer lines. The data was generated by Ola J. Hussein using mass spectrometry-based label-free shotgun proteomics and was last updated on 2026-04-20. It includes results of differential protein abundance analysis and pathway predictions via Ingenuity Pathway Analysis.

Use Cases

• Identify potential protein biomarkers for colorectal cancer stem cells based on differential abundance.
• Analyze dysregulated metabolic and signaling pathways, such as the mevalonate pathway, associated with stemness.
• Investigate predicted upstream regulators like MYC, EGFR, VEGFA, and TGF-β signaling in cancer stem cell phenotypes.
• Validate proteomic findings with orthogonal methods like RT-qPCR or Western blotting using the provided data.

Strengths

• Data is derived from a comparative proteomic study using two established colorectal cancer cell lines (SW620 and HCT-116).
• Analysis includes validation of key findings (e.g., HMGCS1 upregulation) at both mRNA and protein levels.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 407.8 KB size suggests a limited scope, likely containing summary results rather than raw spectral data.

Provenance

Source

figshare, author Ola J. Hussein.

Collection Method

Mass spectrometry-based label-free shotgun proteomics on CSC-enriched spheroids and parental adherent cells.

Freshness

Last updated 2026-04-20 04:13:40; freshness should be verified.