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This study identifies genomic and environmental factors affecting circular single-stranded DNA (cssDNA) yield in engineered E. coli and improves production efficiency.

This study shows Pho92 interacts with Not1 to recruit the CCR4-NOT complex to m6A-containing mRNAs, modulating meiosis in S. cerevisiae.

The paper identifies RGMB as a potential risk factor for East Asian POAG through proteogenomic analysis, showing ancestry-specific associations and lack of colocalization with IOP traits.

This study investigates the pollination strategy of Corybas trilobus, finding it uses a mix of chemical and morphological cues to deceive fungus gnats into pollination.

This paper develops an AI framework to interpret single-cell RNA-seq data from pediatric solid tumors, identifying tumor-specific surface antigen pairs for targeted therapies.

IG-28 identifies and quantifies high-confidence isoforms from large bulk and single-cell full-length cDNA datasets more effectively than existing tools.

This study identifies K17 as a marker of an EMT-associated migratory cell state in PDAC, showing its role in promoting tumor-cell migration and poor prognosis.

This paper develops a mathematical framework to model microbial communities optimizing growth rates through metabolic cooperation and resource allocation.

This paper introduces a multi-ensemble reweighting method for HDX-MS data to improve structural interpretation by accounting for deuterium loss, showing better accuracy than conventional methods.

This study identifies tailocins as a mechanism for intraspecies competition in bee gut symbionts, showing they inhibit susceptible strains and contribute to priority effects.

This study shows that adolescent sugar overconsumption disrupts hippocampal neuron function, leading to adult motivational issues in rats.

This paper develops a morphological identification framework for small and medium-sized ruminant postcranial bones using statistical classifiers to improve taxonomic accuracy in Southeast Asia.

Scooby-2 fine-tunes AlphaGenome to predict single-cell genomic tracks, improving correlation and variant effect prediction compared to Scooby and AlphaGenome.

This paper uses a graph neural network to predict antibacterial activity against Acinetobacter baumannii and identifies piperazine as a key contributor to predicted activity, leading to the testing of CE3F4.

This study evaluates a bivalent GPCMV vaccine and finds it provides limited cross-strain protection due to impaired gB antibody response and evasion of pp65 cell-mediated immunity.

The paper identifies non-canonical UbiA-type terpene synthase gene clusters in red algae, showing they produce bisabolene and address a biosynthetic puzzle.

This study uses metabolomics to analyze 474 subjects with inborn errors of metabolism, identifying genotype-specific metabolic alterations and providing diagnostic tools and a database of metabolomic features.

This paper develops CMD-coated magnetic nanoparticles for delivering CRISPR RNPs, demonstrating efficient genome editing in cell lines and a skin disorder model.

This study optimizes the purification of Meis1 and HoxA9 proteins and characterizes their DNA-binding and cooperative interactions.