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This study examines intra-individual changes in peak alpha frequency and -band power in EEG data following high-frequency sensitisation of central nociceptive pathways, assessing test-retest reliability and their relation to pain perception.

The paper shows that neural populations adjust their optimal temporal resolution during stimulus processing, becoming faster and more nonlinear when decoding information is most accurate.

This study investigates how PWO1 and PWO2 proteins interact with circadian and epigenetic signaling to regulate flowering time in Arabidopsis.

The study examines the core genome evolution of Methylobacterium to show that genes related to phyllosphere adaptation show greater evolutionary discordance, suggesting horizontal gene transfer.

This study identifies a fibroblast-CD8+ T cell circuit that drives a Type 1 immune shift in allergic inflammatory memory through mechanistic and translational analysis in murine and human models.

This study shows that a high-fat diet causes T-cell exhaustion in multiple tissues of atherosclerosis-prone mice, which partially reverses with dietary changes.

This paper benchmarks single-cell foundation models against baselines for annotation, perturbation and regulatory inference using diverse datasets.

This study shows FGF signaling induces disease-associated oligodendrocyte states and causes myelin pathology in both in vitro and in vivo models.

The paper identifies reduced Golgi enzymes MAN1A1 and MAN1A2 in ALS-associated microglia and astrocytes, linking impaired glycan metabolism to neuroinflammation and disease mechanisms.

The paper introduces Live D-seq, a method for longitudinal, non-destructive single-cell RNA sequencing, and demonstrates its ability to track cellular dynamics over time.

The paper shows that relaxation kinetics, not just cell stiffness, controls transport in crowded active monolayers, with slower relaxation increasing cell movement.

vafSOMA detects cell-layer-fixed somatic mutations in plants using tissue composition, improving mutation detection and rate estimation in bulk sequencing data.

SeCAT is a Nextflow pipeline that harmonizes 16S rRNA metabarcoding datasets by identifying a consensus sequence window and testing its impact on community structure before merging datasets.

SPaRTA enables non-experts to query spatial-omics data via natural language, achieving 63-77% accuracy with fine-tuning on cancer tissue datasets.

The paper investigates how different humanized tau isoforms and mutations affect synaptic connectivity and interact with mitochondrial proteins in cortical neurons.

This study identifies MET signaling as a targetable vulnerability in rhabdoid tumors through integrated single-cell multi-omic and spatial transcriptomics analyses.

This study shows that Fc-FGF21's weight-loss efficacy depends on its circulating half-life, which is influenced by hTfR binding valency and BBB transport.

The paper evaluates an eight-gene module associated with trogocytosis in CRC, finding its correlation with T-cell fraction is typical of random modules, suggesting it reflects cellular composition rather than trogocytosis.

The paper shows serotonin signaling spatially controls nutrient-responsive midgut turnover in Drosophila by regulating enteroblast maturation and morphological changes through the 5HT7 receptor.

This paper introduces LSAT-EN, a transfer learning method that improves survival prediction for younger breast cancer patients using multi-omics data from older patients.