DEHP and Pulmonary Arterial Hypertension: 12 Core Regulatory Genes
by Hua Li·Updated 3mo ago
9.1 KB1files
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Description
Aggregating results from a machine learning and network toxicology study that identified 12 core regulatory genes as potential molecular targets of di (2-ethylhexyl) phthalate (DEHP) in pulmonary arterial hypertension. The analysis was conducted by Hua Li and published on figshare under a CC BY 4.0 license. The specific genes include ALKBH2, AOC2, BCL2L10, CTBP2, DNM2, ERLIN2, HPS6, RABGGTA, PON2, SLC4A7, SORT1, and PDE4D.
Use Cases
Validate the 12 identified core regulatory genes (e.g., ALKBH2, SLC4A7) as targets for DEHP in independent PAH genomics datasets.
Analyze the expression direction (up/down-regulation) of genes like HPS6 and PDE4D to infer pathway activation in DEHP-induced PAH.
Use the list of 60 potential target genes as a starting set for feature selection in predictive models of chemical-induced hypertension.
Build a protein-protein interaction network focusing on the prioritized genes like CTBP2 and SORT1 to explore mechanistic pathways.
Strengths
Identifies a specific, prioritized set of 12 core regulatory genes from an initial pool of 60 potential targets.
Results are derived from an integrative methodology combining differential expression analysis, machine learning algorithms, and network toxicology.
Dataset is openly available under a permissive CC BY 4.0 license, facilitating reuse.
Limitations
The dataset is very small (9.1 KB), suggesting it contains summary results rather than raw genomic or expression data.
The underlying sample size, data sources, and specific machine learning model parameters used for gene prioritization are not detailed.
As a secondary analysis, its utility is dependent on the quality and scope of the original genomics datasets it was derived from.
Provenance
Source
figshare, authored by Hua Li.
Collection Method
Integrative analysis combining differential expression on genomics datasets, machine learning algorithms, and network toxicology.
Freshness
Last updated on 2026-03-20.
The file is a small (9.1 KB) Excel spreadsheet likely containing summary tables or lists; users should not expect large-scale raw omics data. The 'last updated' date is in the future (2026), which may be a platform error.