By mapping differentially expressed genes (DEGs) to a PPI network, we can visualize how the proteins they encode interact with one another, providing insights into the molecular mechanisms underlying the observed phenotype.

利用covid-19、心血管疾病(chf)和高血压疾病(iph，pah，pe)的所有重叠degs构建了ppi网络。ppi网络基于 string数据库 在线构建，显示了基因在ppi网络中的参与和关联情况。也可以从ppi的角度观察疾病之间的关系。

DEG_to_ProteinInteraction is a bioinformatics pipeline designed to construct and analyze protein-protein interaction (PPI) networks starting from a list of differentially expressed genes (DEGs).

Dec 24, 2019 · A protein-protein interaction (PPI) network of the identified DEGs was constructed using the STRING database. Differences in prognosis between low and high expression of the hub DEGs were also evaluated using the Kaplan-Meier Plotter database.

This bioinformatics study aimed to identify differentially expressed genes (DEGs) and protein–protein interaction (PPI) networks associated with functional pathways in ulcerative colitis based on 3 Gene Expression Omnibus (GEO) datasets.

The PPI network at 18 h was modularized using ClusterONE, and a functional enrichment analysis of the DEGs in the top three modules was performed with DAVID. Overall, 80 and 346 DEGs were identified 2 and 18 h after PE initiation, respectively.

A protein–protein interaction (PPI) network of the identified DEGs was constructed using the STRING database. Differences in prognosis between low and high expression of the hub DEGs were also evaluated using the Kaplan-Meier Plotter database.

May 5, 2023 · We then performed protein–protein interaction (PPI) analysis of the identified DEGs to unravel the connections between these pathways and the specific genes.

Overall, 80 and 346 DEGs were identified 2 and 18 h after PE initiation, respectively. The KEGG pathways, including chemokine signaling and toll‑like receptor signaling, were shown to be significantly enriched. The five highest degree nodes in …

Dec 6, 2024 · Identifying differentially expressed genes (DEGs) is a core task of transcriptome analysis, as DEGs can reveal the molecular mechanisms underlying biological processes. However, interpreting the biological significance of large DEG lists is challenging.