The murine model serves as an important experimental system in biomedical science because of its high degree of similarities at the sequence level with human. Recent studies have compared the transcriptional landscapes between human and mouse, but the general co-expression landscapes have not been characterized. Here, we calculated the general co-expression coefficients and constructed the general co-expression maps for human and mouse. The differences and similarities of the general co-expression maps between the two species were compared in detail. The results showed low similarities in the human and mouse, with only about 36.54% of the co-expression relationships conserved between the two species. These results indicate that researchers should pay attention to these differences when performing research using the expression data of human and mouse. To facilitate use of this information, we also developed the human-mouse general co-expression difference database (coexpressMAP) to search differences in co-expression between human and mouse. This database is freely available at http://www.bioapp.org/coexpressMAP.
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http://dx.doi.org/10.1093/bib/bbx024 | DOI Listing |
BMC Cancer
December 2024
Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Background: Immune checkpoint inhibitors (ICIs), including those targeting PD-1, are currently used in a wide range of tumors, but only 20-40% of patients achieve clinical benefit. The objective of our study was to find predictive peripheral blood-based biomarkers for ICI treatment.
Methods: In 41 patients with advanced malignant melanoma (MM) and NSCLC treated with PD-1 inhibitors, we analyzed peripheral blood-based immune subsets by flow cytometry before treatment initialization and the second therapy dose.
Front Plant Sci
December 2024
Engineering Research Center of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China.
Chinese chestnut ( Blume) is an important economic forest tree species and mainly cultivated in mountainous areas and wastelands, subjecting it to various abiotic stresses. The protein phosphatase 2C (PP2C) genes contributes largely to stress responses in plants. However, the characteristics and functions of genes in remain unknown.
View Article and Find Full Text PDFPlant Sci
December 2024
National Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China. Electronic address:
Forward genetic screens have uncovered numerous genes involved in DNA methylation regulation, but these methods are often time-intensive, costly, and labor-intensive. To address these limitations, this study utilized CRISPR technology to knockout selected co-expressed genes, enabling the rapid identification of low luciferase (LUC) luminescence mutants in the Col-LUC line, which harbors a LUC transgene driven by a 2×35S promoter in Arabidopsis. As proof of concept, the repressor of silencing 1 (ROS1) and RNA-directed DNA methylation 1 (RDM1) genes were used as controls, while the increased DNA methylation 3 (IDM3) gene, co-expressed with ROS1, was selected as the target for gene knockout experiments.
View Article and Find Full Text PDFSci Rep
December 2024
Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, China.
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatments, underscoring the critical need for early detection and diagnosis to improve intervention outcomes. This study integrates various bioinformatics methodologies with interpretable machine learning to identify reliable biomarkers for AD diagnosis and treatment. By leveraging differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and construction of Protein-Protein Interaction (PPI) Networks, we meticulously analyzed the AD dataset from the GEO database to pinpoint Hub genes.
View Article and Find Full Text PDFJ Fungi (Basel)
November 2024
College of Biological and Food Engineering, Southwest Forestry University, Kunming 650224, China.
Fungal secondary metabolites (SMs) have broad applications in biomedicine, biocontrol, and the food industry. In this study, whole-genome sequencing and annotation of were conducted, followed by comparative genomic analysis with 11 other species of Polyporales to examine genomic variations and secondary metabolite biosynthesis pathways. Additionally, transcriptome data were used to analyze the differential expression of polyketide synthase (PKS), terpene synthase (TPS) genes, and transcription factors (TFs) under different culture conditions.
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