Long non-coding RNAs (lncRNAs) have been shown to play a critical role in cancer biology and are frequently aberrantly expressed. Despite their important role in pathology, little is known mechanistically regarding their role in gastric cancer (GC) pathogenesis. To characterize the role of lncRNAs in GC pathogenesis, 8 paired human GC tissue samples and matched adjacent normal tissue were examined. Large scale expression profiling of lncRNA and mRNA was performed utilizing microarray technology and validated by qPCR. Differentially expressed lncRNAs were subjected to bioinformatic analysis to predict target genes, followed by the integration of differentially expressed mRNA data and GO and network analysis to further characterize potential interactions. In our study, 2,621 lncRNAs and 3,121 mRNAs were identified to be differentially expressed (≥2.0-fold change) in GC samples relative to their matched counterparts. lncRNA target prediction revealed the presence of 221 potential lncRNA-mRNA target pairs for the 75 differentially expressed lncRNAs and 60 differentially expressed genes. KEGG pathway analysis showed that these target genes were significantly enriched in 7 different pathways, of which the p53 signaling pathway was the most significant and has been previously implicated in GC pathogenesis. Construction of a lncRNA-mRNA correlation network revealed 10 differentially expressed lncRNAs potentially regulating the p53 signaling pathway. Overall, this is the first study perform global expression profiling of lncRNAs and mRNAs relating to GC. These results may provide important information for further insights into the pathogenesis of GC and provide potential targets for future therapeutics.
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http://dx.doi.org/10.3892/ijo.2014.2431 | DOI Listing |
Brief Bioinform
November 2024
Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug discovery and screening processes. Considering that experimental measurements need substantial time and cost, we developed a deep learning-based method called Molecule-induced Transcriptional Change Predictor (MiTCP) to predict changes in transcriptional profiles (CTPs) of 978 landmark genes induced by molecules. MiTCP utilizes graph neural network-based approaches to simultaneously model molecular structure representation and gene co-expression relationships, and integrates them for CTP prediction.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
QTL mapping of two RIL populations in multiple environments revealed a consistent QTL for bristle length, and combined with RNA-seq, a potential candidate gene influencing bristle length was identified. Foxtail millet bristles play a vital role in increasing yields and preventing bird damage. However, there is currently limited research on the molecular regulatory mechanisms underlying foxtail millet bristle formation, which constrains the genetic improvement and breeding of new foxtail millet varieties.
View Article and Find Full Text PDFArch Microbiol
January 2025
Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, SE 106 91, Sweden.
Bacteria experience a continual array of environmental stresses, necessitating adaptive mechanisms crucial for their survival. Thermophilic bacteria, such as Thermus thermophilus, face constant environmental challenges, particularly high temperatures, which requires robust adaptive mechanisms for survival. Studying these extremophiles provides valuable insights into the intricate molecular and physiological processes used by extremophiles to adapt and survive in harsh environments.
View Article and Find Full Text PDFProtoplasma
January 2025
Botany Unit (SAIF & R), CSIR-CDRI, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, Uttar Pradesh, India.
Eclipta prostrata belongs to the Asteraceae family. The plant contains bioactive compounds like wedelolactone (WDL) and demethylwedelolactone (DW). Its transcriptomic information engaged with secondary metabolite biosynthesis is not available.
View Article and Find Full Text PDFPlant Cell Rep
January 2025
Department of Tea Science, College of Horticulture Science, South China Agricultural University, Guangzhou, 510642, China.
Integration of resistance indicators, metabolomes, and transcriptomes to elucidate that there is a positive correlation between disease susceptibility and cold tolerance in tea plants. The flavonoid pathway was found to be the major metabolic and transcriptional enrichment pathway. A key domain NB-ARC was identified through joint analysis, along with analysis of key domains within the NB-ARC protein.
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