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The paper develops a modular platform for creating synthetic auxotrophs in E. coli using theophylline-responsive riboswitches, enabling reliable and low-cost biocontainment systems.

This study shows that HCAAs, produced via THT overexpression in tomato, enhance wound healing and interplant signaling through structural reinforcement and defense priming.

This study identifies RAP2.3 as essential for MYB51 and SIGMA3 expression during Arabidopsis thaliana's response to multifactorial stress combinations, revealing a regulatory pathway critical for survival under combined stress conditions.

FragDockRL uses reinforcement learning to design ligands by assembling building blocks and tethered docking, outperforming random search on three protein targets.

The paper examines how amyloid-beta accumulation varies across cognitive and non-cognitive brain networks in preclinical Alzheimer's disease and finds higher accumulation in cognitive networks with age and in amyloid-positive individuals.

This study shows that lysosome pH is critical for LPS-induced lysosome tubulation in macrophages, as alkalinizing pH blocks tubulation while maintaining mTORC1 activity.

This study shows that cell wall integrity signaling and elicitor peptides modulate jasmonic acid-mediated camalexin production in Arabidopsis through distinct pathways.

This study examines how different crowders affect the activity and structure of the hepatitis C virus NS3/4A protease, showing crowder-specific impacts on catalysis and local conformation.

This study evaluates the immune response of an H5 mRNA-LNP vaccine in calves against H5N1 influenza, showing robust antibody and CD8+ T cell responses and protection against infection.

This paper identifies a synergistic combination of RNA Polymerase I inhibitor CX-5461 and CDK inhibitor Dinaciclib that enhances therapeutic efficacy in AML by inducing nucleolar stress and cell cycle arrest.

This paper revisits the concept of density in k-mer-based sequence analysis, introduces multiminimizers as a novel technique, and proposes deduplicated density as a new metric.

This paper describes the discovery and characterization of a new Rickettsia species, Rickettsia senegalensis, based on genomic, morphological, and epidemiological data.

This paper introduces Reinforcement Failing, an AI framework that identifies emergent spatial dynamics in adaptive tumor therapy by refining training environments.

This study investigates how MacroH2A (mH2A) contributes to gene repression by stabilizing nucleosome dynamics and inhibiting chromatin remodelers.

This study evaluates LAM detection in CSF and urine and host inflammatory biomarkers for diagnosing and prognosticating tuberculous meningitis, finding high specificity for LAM and strong diagnostic performance for IL-1β.

This paper introduces HOClSense dyes, a chlorination-based indicator for subcellular HOCl detection, and demonstrates their use in identifying STING pathway-induced HOCl and abnormal HOCl production in Niemann-Pick diseases.

The paper validates and analyzes 12,000 AI-designed CAR-T binders from a global competition, identifying successful designs and factors improving their performance.

This paper introduces a Pareto optimization method for masked superstrings to improve the compression of pan-genome k-mer sets, achieving 12-19% better compressibility.

This paper introduces a membrane-free spot-plating protocol for Agrobacterium-mediated transformation of diverse yeasts, improving efficiency and reducing costs.

This study identifies Monalysin, a pore-forming toxin from Pseudomonas entomophila, as a factor that suppresses defecation in infected Drosophila females.