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This study designs synthetic reaction-diffusion circuits in mammalian cells to generate spatial patterns with controllable spatial scales.

NPlasmid-seq detects sub-percent contamination and sequence heterogeneity in plasmid preparations using Cas9-encoded terminal signatures, revealing structural variants missed by consensus-based methods.

This study evaluates serum calprotectin as a biomarker for disease activity, severity, cardiovascular risk, and mortality in inflammatory rheumatic diseases, finding it to be a better predictor than CRP in certain contexts.

This paper develops a method to predict seabird-vessel interactions using only seabird telemetry data, showing high accuracy but limitations in distinguishing fishing from nonfishing vessels.

The paper uses computational methods to design and evaluate splicease variants for generating diverse ketoamide substrates, finding that top-scoring peptides are spliced more efficiently than single-point mutants.

The paper introduces a longitudinal neuroimaging dataset of Alzheimer's disease pathology, including multimodal data from patients and controls, to identify and validate novel biomarkers.

This paper introduces ORCA, a platform that uses oncogenic RNA sensing to target and ablate cancer cells, demonstrating efficacy in colorectal cancer models.

This study quantifies transcriptional dysregulation in antibiotic tolerance using single-cell RNA-seq and introduces GMP-Cor to analyze gene-gene correlations in disrupted growth-arrest states.

This study develops DDR1-targeting nanobodies that remodel collagen-rich tumor stroma and immune compartments, enhancing tumor control without direct tumor-cell inhibition.

This paper uses the Resonant Recognition Model to analyze cGAS and FANCI sequences across species, identifying conserved spectral features and divergent phase signatures in naked mole-rats.

This paper extends a protein structure validation method to RNA, showing it can detect errors in low-resolution structures where map-based methods fail.

This study investigates metabolic complexity in the human brain using PET and fMRI, finding that metabolic entropy correlates with network metastability and declines with age.

The paper quantifies serotype-specific anti-capsular polysaccharide IgG in pregnant women and newborns to assess protection against invasive group B streptococcus (GBS) disease.

This paper develops a fully automated pipeline for EGG signal processing to improve artifact rejection and signal quality, showing improved performance over existing methods.

The paper introduces the Awake Mouse Connectome Project (AMCP), a dataset of 212 awake mice, and presents functional network atlases and analysis tools for studying brain connectivity and variability.

The paper characterizes bacterial communities in the Bering and Chukchi Seas using 16S rRNA gene sequencing, finding that water mass, salinity, and bloom stage shape community structure.

This study shows that GPCR signaling varies based on submembrane location, with different functional outcomes in cardiomyocytes, and introduces submembrane-specific beta-blockers that target specific nanodomains.

The paper identifies genetically restricted human antibodies that recognize a conserved β-hairpin in postfusion influenza HA and shows that specific IGHV1-2 alleles are required for their production.

This study identifies genomic regions associated with DUS traits in Pakistani wheat varieties using GWAS, aiming to improve varietal identification through molecular markers.