The yield and quality of pepper are considerably influenced by the cold conditions. Herein, we performed morphological, physiological and transcriptomic analyses by using two pepper seedlings, '2379' (cold-resistant) and '2380' (cold-sensitive). Briefly, 60 samples from each cultivar were analyzed at four distinct time points (0, 6, 24 and 48 h) at 5 °C in darkness. The physiological indices and activities of enzymes exhibited marked differences between the two cultivars. Transcriptomic analysis indicated that, compared to the control group, 11,415 DEGs were identified in '2379' and '2380' at 24 h. In the early stage, the number of DEGs in '2379' was 5.68 times higher than that in '2380', potentially explaining the observed differences in tolerance to colds. Processes such as protein targeting to membranes, jasmonic acid (JA)-mediated signalling, cold response and abscisic acid-activated signalling were involved. Subsequently, we identified a hub gene, CaAOS, that is involved in JA biosynthesis, positively influences cold tolerance and is a target of CaMYC2. Variations in the GC-motif of the CaAOS's promoter may influence the expression levels of CaAOS under cold treatment. The result of this study may lead to the development of more effective strategies for enhancing cold tolerance, potentially benefitting pepper breeding in cold regions.
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http://dx.doi.org/10.1016/j.ijbiomac.2024.133961 | DOI Listing |
Leuk Lymphoma
January 2025
Department of Oncology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
In this study, we aimed to uncover novel biomarkers in acute myeloid leukemia (AML) that could serve as prognostic indicators or therapeutic targets. We analyzed AML microarray datasets from the Gene Expression Omnibus (GEO) repository, identifying key differentially expressed genes (DEGs) through the robust rank aggregation (RRA) approach. The functions of these DEGs were elucidated through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.
View Article and Find Full Text PDFPLoS One
January 2025
Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Background: Rheumatoid arthritis (RA) is a degenerative autoimmune disease, often managed through symptomatic treatment. The co-occurrence of the reported extra-articular comorbidities such as inflammatory bowel disease (IBD), and dementia may complicate the pathology of the disease as well as the treatment strategies. Therefore, in our study, we aim to elucidate the key genes, and regulatory elements implicated in the progression and association of these diseases, thereby highlighting the linked potential therapeutic targets.
View Article and Find Full Text PDFMol Neurobiol
January 2025
Department of Neurology, School of Medicine, Affiliated ZhongDa Hospital, Southeast University, Dingjiaqiao 87, Nanjing, 210009, Jiangsu, China.
The dysregulation of lipid metabolism has been associated with the etiology and progression of the neurological pathology. However, the roles of lipid metabolism and the molecular mechanism in epilepsy and the use of antiepileptic drugs (AEDs) are relatively understudied. Gene expression profiles of GSE143272 from blood samples were included for differential analysis, and the lipid metabolism-related differentially expressed genes (DEGs) were identified.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Hunan Provincial Hospital of Integrated Traditional Chinese and Western Medicine, No. 58, Yuelu District, Changsha, 410006, Hunan, China.
Objective: Rosmarinic acid (RosA) is a natural polyphenol compound that has been shown to be effective in the treatment of inflammatory disease and a variety of malignant tumors. However, its specific mechanism for the treatment of lung adenocarcinoma (LUAD) has not been fully elucidated. Therefore, this study aims to clarify the mechanism of RosA in the treatment of LUAD by integrating bioinformatics, network pharmacology and in vivo experiments, and to explore the potential of the active ingredients of traditional Chinese medicine in treating LUAD.
View Article and Find Full Text PDFCurr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
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