Identification of Radiation-Induced Injury Pathways and Hub Genes from RNA-Seq Data Based on Integrative Bioinformatics Approach

Background: Ionizing radiation (IR) induces profound bone marrow (BM) injury by disrupting hematopoietic stem cell (HSC) homeostasis, leading to acute myelosuppression and long-term hematopoietic dysfunction. Although transcriptome-wide analyses have advanced our understanding of radiation responses, the key molecular networks and hub genes governing post-irradiation BM injury remain incompletely defined. Methods: This study aimed to systematically identify radiation-responsive pathways and central genes in BM after irradiation through an integrative bioinformatics approach based on RNA sequencing (RNA-seq). Public RNA-seq data from mouse BM HSCs collected 3 days after whole-body irradiation were analyzed. Differentially expressed genes (DEGs) were identified using two independent statistical frameworks to improve the robustness of the results. Functional analysis was performed through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). Protein–protein interaction (PPI) networks were constructed using STRING, and hub genes were identified using network topology parameters. Results: Both analysis pathways consistently demonstrated extensive transcriptome reprogramming after irradiation. DEGs were primarily enriched in processes related to cytokine signaling, hematopoietic lineage regulation, immune response, and extracellular matrix remodeling. KEGG analysis highlighted cytokine–cytokine receptor interaction, hematopoietic cell lineage, JAK-STAT signaling, and PI3K-Akt signaling as key molecular axes. GSEA further supported coordinated changes in pathways related to inflammatory response, stress response, and metabolic reprogramming. PPI network analysis identified four consensus hub genes, namely Il6, Cd34, Gypa, and Pdgfrb, which are related to inflammatory signaling, hematopoietic regulation, erythroid dynamics, and microenvironmental remodeling, respectively. Conclusion: This integrative bioinformatics study demonstrates that radiation-induced BM injury is associated with coordinated activation of inflammatory cytokine networks, alterations in the hematopoietic program, and microenvironmental restructuring. The hub genes identified in this study may represent candidate regulatory genes or molecular indicators potentially involved in the response to radiation-induced hematopoietic damage.

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Journal
Genes
Published
2026-03-27
DOI
https://doi.org/10.3390/genes17040377
Primary Topic
Effects of Radiation Exposure
Type
article
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article

Identification of Radiation-Induced Injury Pathways and Hub Genes from RNA-Seq Data Based on Integrative Bioinformatics Approach

Khalish Arsy Al Khairy Siregar, Dong-Jo Chang, Chi-Ho Lee, Seung-Hyun Jeong et al.
Genes
Effects of Radiation Exposure
article

Identification of Radiation-Induced Injury Pathways and Hub Genes from RNA-Seq Data Based on Integrative Bioinformatics Approach

Khalish Arsy Al Khairy Siregar, Dong-Jo Chang, Chi-Ho Lee, Seung-Hyun Jeong, Jong-Jin Kim
article en

Abstract

Background: Ionizing radiation (IR) induces profound bone marrow (BM) injury by disrupting hematopoietic stem cell (HSC) homeostasis, leading to acute myelosuppression and long-term hematopoietic dysfunction. Although transcriptome-wide analyses have advanced our understanding of radiation responses, the key molecular networks and hub genes governing post-irradiation BM injury remain incompletely defined. Methods: This study aimed to systematically identify radiation-responsive pathways and central genes in BM after irradiation through an integrative bioinformatics approach based on RNA sequencing (RNA-seq). Public RNA-seq data from mouse BM HSCs collected 3 days after whole-body irradiation were analyzed. Differentially expressed genes (DEGs) were identified using two independent statistical frameworks to improve the robustness of the results. Functional analysis was performed through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). Protein–protein interaction (PPI) networks were constructed using STRING, and hub genes were identified using network topology parameters. Results: Both analysis pathways consistently demonstrated extensive transcriptome reprogramming after irradiation. DEGs were primarily enriched in processes related to cytokine signaling, hematopoietic lineage regulation, immune response, and extracellular matrix remodeling. KEGG analysis highlighted cytokine–cytokine receptor interaction, hematopoietic cell lineage, JAK-STAT signaling, and PI3K-Akt signaling as key molecular axes. GSEA further supported coordinated changes in pathways related to inflammatory response, stress response, and metabolic reprogramming. PPI network analysis identified four consensus hub genes, namely Il6, Cd34, Gypa, and Pdgfrb, which are related to inflammatory signaling, hematopoietic regulation, erythroid dynamics, and microenvironmental remodeling, respectively. Conclusion: This integrative bioinformatics study demonstrates that radiation-induced BM injury is associated with coordinated activation of inflammatory cytokine networks, alterations in the hematopoietic program, and microenvironmental restructuring. The hub genes identified in this study may represent candidate regulatory genes or molecular indicators potentially involved in the response to radiation-induced hematopoietic damage.

GenesVol. 17(4)
Sunchon National University (KR)
Good health and well-being
Openalex Percentile: Top 8%
Effects of Radiation Exposure
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