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This study shows microcystin levels in Microcystis cultures and natural blooms vary predictably with the diel light cycle, suggesting time-of-day should be standardized in monitoring efforts.

This study identifies kinetic differences in RAS-BRAF engagement between KRAS and NRAS, showing how oncogenic mutations and inhibitor sensitivity are influenced by these dynamics.

The paper introduces a conversational framework using an LLM agent to interrogate proteomics data sets, identifying issues in four LC-MS/MS datasets and demonstrating its feasibility in reanalyzing data.

The paper shows that altering the cell cycle of rice bundle sheath cells affects chloroplast occupancy and leaf growth, but does not fully replicate C4 bundle sheath traits.

The paper tests if multi-species herbivory increases phytochemical diversity by activating antagonistic defense pathways, finding increased richness and evenness under dual herbivory.

This study evaluates how well electrical source imaging reconstructs neural time series using simultaneous scalp and intracranial EEG recordings, finding limited temporal reconstruction and spatial leakage.

The paper introduces PIPPA, a pipeline for processing large-scale ATAC-seq data, showing that peak calling performance varies by dataset and recommending parameters for high-confidence chromatin accessibility profiles.

BLOOM generates developmental cell-expression distributions across time using conditional flow matching, outperforming baselines in gene and cell-expression correlations.

The paper investigates δ-cell function in type-2 diabetes, finding that these cells become resistant to inhibition, leading to hyperactivity and impaired glucose control.

This paper develops a high-resolution KIR genotyping system that accurately identifies allelic, structural, and KIR-HLA diversity across 24 human populations.

The paper characterizes the seasonal dynamics of cell-associated viral communities in Big Turkey Lake, identifies their functional roles through auxiliary metabolic genes, and reconstructs viral genomes.

This study infers somatic copy number aberrations from spatial transcriptomics data to identify spatially coherent SCNA-defined populations in early cancer development.

This paper describes a trimeric inhibitor, S22, that stabilizes the SARS-CoV-2 spike protein in a closed conformation, preventing ACE2 binding and viral entry.

This study shows that IL-1β suppresses IFN-γ-induced MHC-I surface expression in NSCLC cells through SQSTM1-dependent autophagy, revealing a post-transcriptional regulatory mechanism.

This study compares single-cell transcriptomes of non-functioning gonadotroph tumors and normal anterior pituitary to identify lineage infidelity and growth-associated programs.

HERCULES predicts RNA-binding regions and mutation effects using a deep-learning framework combining language models and physicochemical descriptors.

This study validates musculoskeletal models across daily activities, finding good agreement in knee forces but discrepancies in kinematics and EMG during stair descent.

This study uses tunable magnetorheological elastomer substrates to investigate mechano-genetic interactions in HCM by applying dynamic mechanical stress to hiPSC-derived cardiomyocytes with a MYBPC3 mutation.

This study examines how nanoplastics affect microglial bioenergetics and communication with neurons in vitro, finding dose-dependent changes in ATP levels and neuroprotective signaling.

The paper introduces MIND and UnitAssay for scalable, high-density, multi-regional electrophysiology in non-human primates, enabling stable recordings and reliable single-unit identification.