Table 3_Combined single-cell transcriptome and Mendelian randomization to identify and val

Seven prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) were identified by integrating single-cell transcriptome analysis and Mendelian randomization. The dataset, created by Jiaxin Li and last updated on 2026-03-25, includes a risk model and nomogram validated through immune microenvironment and single-cell analysis. Expression of the identified genes was confirmed in different Non-small cell lung cancer cell lines via RT-qPCR.

Use Cases

• Validate prognostic risk models for lung adenocarcinoma based on the seven identified genes.
• Analyze immune microenvironment profiles based on the 13 differentially abundant immune cell types mentioned.
• Investigate gene expression patterns in macrophage differentiation based on high expression of VDAC1, TXNRD1, and LPL.
• Perform pathway enrichment analysis based on olfactory transduction, ribosome, and complement-coagulation cascades pathways.

Strengths

• Identifies seven specific prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Validation includes RT-qPCR assays on different NSCLC cell lines.
• Risk model and nomogram provide predictive accuracy for 1-, 3-, and 5-year survival.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the public datasets analyzed.

Provenance

Source

Author: Jiaxin Li. Platform: figshare.

Collection Method

Integrated analysis of public datasets using weighted gene co-expression network analysis, differential expression analysis, and Mendelian randomization.

Freshness

Last updated 2026-03-25 22:03:06; freshness should be verified.