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Protein-protein network analysis.

Figshare 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yaojun Wang (309584), Dandan Xu (149923)

Summary

This study presents a protein-protein interaction network and LASSO regression analysis identifying key molecular targets through which microplastics may act in allergic rhinitis, using STRING database clustering and Genemama functional enrichment. The analysis identified three key gene targets and constructed a microplastic-target-pathway network to elucidate potential mechanistic pathways of microplastic-associated disease.

A. The PPI network of intersecting genes is shown based on the STRING database. Circles represent gene nodes, and the frequency of connecting lines indicates the degree of interaction. B. The MCL clustering network of intersecting genes was demonstrated based on the STRING database. Different colored circles represent different clusters.C. PPI network of intersecting genes is shown based on the Genemama website. The inner black circles represent intersecting gene nodes and the outer black circles represent predicted gene nodes. The frequency of connecting lines indicates the degree of interaction.D. Demonstration of functional enrichment of intersecting genes in the Genemama database. Different colors represent different biological functions, and the size of the circle represents the number of genes enriched. E. Microplastic-target-pathway network. Blue triangles represent microplastics, red inverted triangles represent targets, and green ovals represent pathways.

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