Epidemiological data show that ionising radiation increases the risk of cardiovascular disease. The endothelium is one of the main targets of radiation-induced damage. Rapid radiation-induced alterations in the biological processes were investigated after exposure to a clinically relevant radiation dose (2.5 Gy gamma radiation). The changes in protein expression were determined using the human endothelial cell line EA.hy926 as a model. Two complementary proteomic approaches, SILAC (Stable Isotope Labelling with Amino acids in Cell culture) and 2D-DIGE (Two Dimensional Difference-in-Gel-Electrophoresis) were used. The proteomes of the endothelial cells were analysed 4h and 24h after irradiation. Differentially expressed proteins were identified and quantified by MALDI-TOF/TOF and LTQ Orbitrap tandem mass spectrometry. The deregulated proteins were mainly categorised in four key pathways: (i) glycolysis/gluconeogenesis and synthesis/degradation of ketone bodies, (ii) oxidative phosphorylation, (iii) Rho-mediated cell motility and (iv) non-homologous end joining. We suggest that these alterations facilitate the repair processes needed to overcome the stress caused by irradiation and are indicative of the vascular damage leading to radiation-induced cardio- and cerebrovascular impairment.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jprot.2012.02.009 | DOI Listing |
Mol Hortic
January 2025
Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, 510650, Guangzhou, China.
Banana is sensitive to cold stress and often suffers from chilling injury with browning peel and failure to normal ripening. We have previously reported that banana chilling injury is accompanied by a reduction of miR528 accumulation, alleviating the degradation of its target gene MaPPO and raising ROS levels that cause peel browning. Here, we further revealed that the miR528-MaPPO cold-responsive module was regulated by miR156-targeted SPL transcription factors, and the miR156c-MaSPL4 module was also responsive to cold stress in banana.
View Article and Find Full Text PDFBiol Direct
January 2025
School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Background: Pancreatic cancer is characterized by a complex tumor microenvironment that hinders effective immunotherapy. Identifying key factors that regulate the immunosuppressive landscape is crucial for improving treatment strategies.
Methods: We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis.
J Orthop Surg Res
January 2025
Department of Hand-Foot Microsurgery, Shenzhen Nanshan People's Hospital, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
Background: Steroid-induced osteonecrosis of the femoral head (SIONFH) is a universal hip articular disease and is very hard to perceive at an early stage. The understanding of the pathogenesis of SIONFH is still limited, and the identification of efficient diagnostic biomarkers is insufficient. This research aims to recognize and validate the latent exosome-related molecular signature in SIONFH diagnosis by employing bioinformatics to investigate exosome-related mechanisms in SIONFH.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Background: Perilla frutescens (L.) Britt. (Lamiaceae) leaves are essential culinary and medicinal herbs, native to East Asian countries.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
This study aims to elucidate the potential genetic commonalities between metabolic syndrome (MetS) and rheumatic diseases through a disease interactome network, according to publicly available large-scale genome-wide association studies (GWAS). The analysis included linkage disequilibrium score regression analysis, cross trait meta-analysis and colocalisation analysis to identify common genetic overlap. Using modular partitioning, the network-based association between the two disease proteins in the protein-protein interaction set was divided and quantified.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!