3881 papers
This study demonstrates that incorporating inorganic particles into biofilms significantly enhances their mechanical strength and viscoelastic stability through particle-EPS interactions, revealing that traditional particle-free biofilm models systematically underestimate the mechanical resilience of real-world fouling layers.
This study demonstrates that the Eurasian beaver's MHC gene variability was shaped by historical positive and balancing selection, severely reduced by a 20th-century population bottleneck, and only partially restored through recent expansion without evidence of current selection.
Long-term seagrass loss in the Indian River Lagoon, driven by nutrient enrichment and climatic events, has caused a significant decline in blue crab abundance and size while triggering a spatial reorganization of populations toward the southern lagoon, highlighting the critical dependence of blue crabs on continuous vegetated nursery habitats.
This study evaluates three popular CRISPR-Cas9 gRNA design tools (CHOPCHOP, Benchling, and IDT) targeting the TP53 gene, revealing significant discrepancies in their top-ranked candidates due to distinct scoring algorithms and underscoring the necessity of multi-platform cross-validation for effective gene knockout design.
This study utilized proteomic profiling of formalin-fixed paraffin-embedded tissues to identify four novel candidate biomarkers (CTNNA2, EPDR1, NACAD, and NCAM2) that are specifically expressed in ganglionic regions, offering promising tools for the intraoperative diagnosis of Hirschsprung disease.
This TCGA-CESC reanalysis reveals that somatic PIK3CA mutations in cervical cancer are associated with a broad transcriptional signature enriched for extracellular matrix and focal adhesion pathways rather than canonical PI3K-AKT signaling, while also highlighting an unresolved enrichment in ciliary and flagellar processes.
This paper presents a locally deployable large language model pipeline that extracts and normalizes unstructured GEO transcriptomic metadata into structured, controlled-vocabulary labels for tissue, condition, and treatment, achieving high accuracy and significantly outperforming deterministic matching methods.
This study analyzes indoor dust from 88 Czech households to reveal significant associations between specific bacterial genera, such as *Methylobacterium-Methylorubrum* and *Sphingomonas*, and various chemical pollutants like PAHs and PBDEs, suggesting that interactions between biological and chemical contaminants may alter indoor health risks despite the need for further mechanistic research to establish causality.
This study establishes a robust consensus strategy for CRISPR/Cas9 gRNA design in bread wheat by comparing five prediction tools targeting the TaDREB1 gene to identify a highly reliable guide sequence and highlight critical limitations in current algorithmic outputs.
This study presents a computationally driven drug discovery pipeline that identified and engineered a novel, non-Fc secreted cephalopod protein, AOA_UR2_F7P_M16C, as a potent and deimmunized CD47 inhibitor with high potential for treating glioblastoma while avoiding the hematological toxicity and immunogenicity of previous antibody therapies.