Table 2_Combined single-cell transcriptome and Mendelian randomization to identify and val

A 2026 study by Jiaxin Li identified seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma. The dataset likely contains results from integrated single-cell transcriptome analysis and Mendelian randomization of public datasets. Findings were validated through RT-qPCR assays on non-small cell lung cancer cell lines.

Use Cases

• Building a prognostic risk model for lung adenocarcinoma based on the seven identified genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2).
• Analyzing immune microenvironment composition based on the 13 differentially abundant immune cell types mentioned.
• Investigating pathway enrichment in patient risk groups based on described pathways like olfactory transduction and ribosome cascades.
• Validating gene expression patterns in macrophage differentiation using the single-cell analysis results.

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 were constructed with predictive accuracy for 1-, 3-, and 5-year survival.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 12.4 KB, indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare, author Jiaxin Li.

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 22:03:00.