De Novo Lipogenesis Gene Candidates in Diabetic Retinopathy

Two candidate genes, AHR and SLC1A5, were identified through integrative analysis of transcriptomic and single-cell RNA sequencing data from diabetic retinopathy patients. The dataset includes results from a GraphBAN model predicting 16 potential gene-compound interactions and single-cell expression mapping to dendritic cells and monocytes. Zhenghong Jin published this analysis on figshare in April 2026.

Use Cases

• Validate the upregulation of AHR and SLC1A5 genes in diabetic retinopathy patient samples using RT-qPCR data.
• Apply the GraphBAN model predictions to screen 2 compounds for AHR and 14 for SLC1A5 for potential drug interaction studies.
• Analyze single-cell RNA sequencing data to map gene expression patterns to conventional dendritic cell type 2 (cDC2) and classical monocyte populations.
• Use the established nomogram to assess predicted DR risk scores based on the identified gene signatures.

Strengths

• Integrates multiple data types: transcriptomics, single-cell RNA-seq, and GraphBAN model predictions.
• Results validated by RT-qPCR showing significant gene upregulation in DR patients.

Limitations

• The dataset is small at 44.8 KB, indicating limited scope and likely summary-level results.
• Specific row counts, column names, and raw expression values are not provided.
• Findings are preliminary and exploratory, requiring further experimental validation.

Provenance

Source

Public databases and original analysis by Zhenghong Jin.

Collection Method

Integrated bioinformatics analysis combining public transcriptomic data, single-cell RNA sequencing, GraphBAN modeling, and RT-qPCR validation.

Time Range

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Freshness

Last updated April 2026.

Geography

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