Earth's diverse soil microbiomes host bacteria within dynamic and fragmented aqueous habitats that occupy complex pore spaces and restrict the spatial range of ecological interactions. Yet, the spatial distributions of bacterial cells in soil communities remain underexplored. Here, we propose a modelling framework representing submillimeter-scale distributions of soil bacteria based on physical constraints supported by individual-based model results and direct observations. The spatial distribution of bacterial cell clusters modulates various metabolic interactions and soil microbiome functioning. Dry soils with long diffusion times limit localized interactions of the sparse communities. Frequently wet soils enable long-range trophic interactions between dense cell clusters through connected aqueous pathways. Biomes with high carbon inputs promote large and dense cell clusters where anoxic microsites form even in aerated soils. Micro-geographic considerations of difficult-to-observe microbial processes can improve the interpretation of data from bulk soil samples.
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http://dx.doi.org/10.1038/s42003-023-04703-7 | DOI Listing |
BMC Res Notes
January 2025
Biological and Biomedical Sciences Department, University of North Carolina Central University, Durham, NC, 27707, USA.
Objective: African American women with breast cancer experience disproportionately poor survival outcomes, primarily due to the high prevalence of the deadliest subtype; triple-negative breast cancer (TNBC). The CRYβB2 gene is upregulated in tumors from African American patients across all breast cancer subtypes, including TNBC, and is associated with worse survival rates. This study investigated the effect of CRYβB2 on the invasion of TNBC cells and the underlying mechanisms contributing to this phenotype.
View Article and Find Full Text PDFBiol Direct
January 2025
Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Introduction: Diabetic nephropathy (DN) is a common diabetes-related complication with unclear underlying pathological mechanisms. Although recent studies have linked glycolysis to various pathological states, its role in DN remains largely underexplored.
Methods: In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the GSE30122, GSE30528, and GSE96804 datasets, followed by an evaluation of the immune landscape in DN.
Biol Direct
January 2025
Shanghai LIDE Biotech Co., Ltd., Shanghai, 201203, China.
Advances in sequencing technologies are reshaping clinical diagnostics, prompting the development of new software tools to decipher big data. To this end, we developed functional genomic imaging (FGI), a visualization tool designed to assist clinicians in interpreting RNA-Seq results from patient samples. FGI uses weighted gene co-expression network analysis (WGCNA), followed by a modified Phenograph clustering algorithm to identify co-expression gene clusters.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Department of Applied Computer Science, University of Winnipeg, Winnipeg, MB, R3B 2E9, Canada.
Background: Comprehensively mapping the hierarchical structure of breast cancer protein communities and identifying potential biomarkers from them is a promising way for breast cancer research. Existing approaches are subjective and fail to take information from protein sequences into consideration. Deep learning can automatically learn features from protein sequences and protein-protein interactions for hierarchical clustering.
View Article and Find Full Text PDFTrends Cell Biol
January 2025
Interfaculty Institute of Microbiology and Infection Medicine (IMIT), Cluster of Excellence 'Controlling Microbes to Fight Infections' (CMFI, EXC 2124), University of Tübingen, Tübingen, Germany. Electronic address:
Endothelial cells (ENCs) and epithelial cells (EPCs) form monolayers whose barrier function is critical for the maintenance of physiological processes and extremely sensitive to mechanical cues. Computational models have emerged as powerful tools to elucidate how mechanical cues impact the behavior of these monolayers in health and disease. Herein, the importance of mechanics in regulating ENC and EPC monolayer behavior is established, highlighting similarities and differences in various biological contexts.
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