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The paper screens humanized mouse xenograft models for murine leukemia virus integration in the human genome, finding significant contamination by both xenotropic and ecotropic MLVs.

This study investigates the molecular and phytochemical differences between two types of Tibetan medicine 'Talegabao' and 'Talenabao' from Rhododendron species on the Qinghai-Xizang Plateau, identifying DNA barcode and chemical markers for their discrimination.

This paper identifies EEG factors linked to FDG-PET dementia phenotypes, showing slowing and rhythm changes correlate with specific neurodegenerative subtypes.

DiffTernary is a diffusion model for predicting molecular glue ternary complex structures, achieving competitive performance on benchmark datasets.

The paper identifies a STAT1-CEBPB-NF-κB signaling pathway in diabetic kidneys that mediates FGF23's pro-inflammatory effects, suggesting CEBPB as a therapeutic target.

The paper integrates exome and transcriptome data from a schizophrenia case with low polygenic risk to identify potential variants and transcriptomic abnormalities, revealing biological alterations linked to cerebrovascular disease.

This study identifies Scs7 as a key regulator of fungal pathogenicity and drug susceptibility in Candida albicans, showing resveratrol inhibits Scs7 and enhances antifungal efficacy.

scDeepSim generates synthetic single-cell data with controlled biological and technical factors to benchmark single-cell analysis methods.

This study shows that chronic FMNL2 overexpression in zebrafish causes brain histological changes and altered exploratory behavior similar to those seen after acute Aβ42 exposure.

This study shows oxytocin modulates auditory processing in macaques differently depending on sensory context, reducing responses in unimodal tasks but increasing them in audiovisual tasks.

The paper examines thermal adaptation in bacterial chaperone mRNAs, finding no strong structural differences but a significant shortening of the groL coding sequence in thermophiles.

This paper introduces local goodness-of-fit measures to assess state-space models in neural decoding, identifying when models poorly fit data during recordings.

This study tracks within-host evolution of an avirulent Salmonella vaccine strain and finds that regulatory tuning of the BarA/SirA system reduces SPI-1ON cells without losing SPI-1 function.

The paper designs lipidoids with controlled lateral spacing of head groups to improve targeting efficiency in lipid-based nanoparticles using EPR methods.

This paper provides a detailed protocol for implementing Mini2P calcium imaging in freely moving mice, covering system setup, optical alignment, and behavioral integration to study neural activity during natural behavior.

This study shows that highly pathogenic coronaviruses induce necroptosis, leading to lung injury, and that inhibiting necroptosis reduces disease severity in mice.

SpaAxFormer improves spatial transcriptomics by integrating gene-level and cell-level representations, achieving better imputation and spatial-domain identification in some datasets.

This study introduces RSMBind, a deep learning model for predicting RNA-small molecule binding sites, achieving high accuracy on benchmark datasets and demonstrating the utility of RNA language models in the absence of structural data.

This study shows that stimulating prefrontal beta oscillations at specific phases improves distinct cognitive functions: response inhibition at peak and working memory at trough.