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Radiation-induced pulmonary fibrosis (RIPF) constitutes a significant complication in radiotherapy for various cancers, often severely limiting its efficacy. Recent studies suggest that epithelial-mesenchymal transition (EMT) plays a vital role in the pathogenesis of RIPF. Elucidating the involvement of microRNAs (miRNAs) in EMT could provide valuable insights into the mechanisms underlying RIPF and potentially reveal therapeutic targets. In this study, twelve dishes of BEAS-2B cells were irradiated with 6 Gy Co γ-rays, and RNA was extracted at 0, 6, and 48 h after irradiation. High-throughput sequencing analysis of miRNA samples revealed miRNA significant changes in the BEAS-2B cells after irradiation, which was verified by RT-PCR. Additionally, the upstream transcription factors (TFs) were predicted through graphene oxide-based analysis. Transcription factors regulate the expression and transcriptional levels of miRNAs, and their functions may be associated with inflammatory or oxidative stress responses. The functional roles of these TFs were characterized through gene ontology (GO) analysis. Overall, we successfully screened and identified a set of miRNAs associated with ionizing radiation-induced EMT in lung epithelial cells and performed predictive identification of their upstream TFs and downstream regulatory target proteins. These data provide a firm foundation for future studies of the mechanism of radiation-induced EMT processes and related changes in biological function.
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http://dx.doi.org/10.1177/00368504251362376 | DOI Listing |
Front Microbiol
August 2025
College of Plant Protection, Southwest University, Chongqing, China.
Root-knot nematodes (RKNs), particularly , are one of the most destructive plant-parasitic nematodes (PPNs) affecting crop production worldwide. Previous earlier study revealed that calcinated oyster shell powder (OSP) possessed excellent suppression of tobacco RKN disease. However, the suppression mechanism of OSP against RKNs still remains unrevealed.
View Article and Find Full Text PDFCancer Med
September 2025
Division of Clinical & Translational Cancer Research, Medical Sciences Campus, University of Puerto Rico Comprehensive Cancer Center, San Juan, Puerto Rico.
Background: Gastric cancer (GC) is the fourth leading cause of cancer-related death globally. Tumor profiling has revealed actionable gene alterations that guide treatment strategies and enhance survival. Among Hispanics living in Puerto Rico (PRH), GC ranks among the top 10 causes of cancer-related death.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, The University of Texas at Dallas, TX United States.
Motivation: The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profiling while preserving spatial and morphological context. Understanding gene functions and interactions in different spatial domains is crucial, as it can enhance our comprehension of biological mechanisms, such as cancer-immune interactions and cell differentiation in various regions. It is necessary to cluster tissue regions into distinct spatial domains and identify discriminating genes that elucidate the clustering result, referred to as spatial domain-specific discriminating genes (DGs).
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