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The paper evaluates how well microbiome measurements from different intestinal regions predict intervention decisions compared to stool samples.

The paper uses CRISPR activation to engineer regulatory states in RPE-1 cells, revealing hidden genetic effects in AMD by analyzing chromatin accessibility and transcriptional interactions.

This study shows cell cycle exit is necessary for terminal differentiation but not neoblast specialization in planarians, with lineage commitment occurring in cycling neoblasts.

StereoMapper clarifies metabolite identity by assigning stereochemically aware relationships, achieving high performance in benchmark datasets and improving GEM accuracy.

This paper constructs a multilayer skin diseasome integrating transcriptomic, pathway, interactome, and drug-signature data to explore molecular connections and therapeutic opportunities across immune-mediated skin diseases.

The paper investigates how glucocorticoid exposure affects adipose metabolism and identifies a circulating biomarker, the phenylalanine/kynurenine ratio, that reflects GC state and has potential for personalized therapy.

The paper introduces sRQA, a software package for symbolic recurrence quantification analysis, validated on simulated and real-world data across multiple domains.

The paper introduces CellMAPP and CHART to analyze multiplexed antibody imaging data, revealing modular morphological programs in response to genetic perturbations.

This study analyzes the fecal microbiome of cattle using 16S and 18S rRNA metabarcoding to assess the impact of age and management on prokaryotic and eukaryotic communities.

Maternal influenza A virus infection in pregnant pigtail macaques dysregulates placental and fetal immunity, with disease severity correlating strongly with fetal, but not placental, immune perturbations.

This paper identifies transcriptomic, miRNA, and CAF-associated reprogramming in EML4-ALK fusion-positive NSCLC compared to fusion-negative tumors.

In 174 sedentary adults, resistance exercise changed more muscle molecular features than endurance exercise across omes and time points; network analysis nominates MEF2A and NFIC as regulatory hubs.

AXIS converts published QSP models and their companion publications into executable simulation configurations by integrating entity grounding, scenario extraction, and parameter assignment.

DRIFT infers division-resolved cellular dynamics from population measurements, recovering accurate state progression and redistribution in proliferating cell populations.

This study evaluates the effects of Huanglian Wendan Decoction on metabolic syndrome using multi-omics analysis, identifying its impact on gut-liver metabolism and NLRP3 signaling, with baicalin as a candidate bioactive constituent.

The paper investigates how IDH1 supports cardiac metabolic adaptation under oncometabolic stress by enabling reductive carboxylation and epigenetic changes.

This study uses single-cell transcriptomics and metabolic modeling to identify shared and organ-specific metabolic adaptations in breast cancer metastasis to the liver, bone, and brain.

This study develops a modular Python framework called digimouth to model aroma release during food oral processing, validated with experimental data from 30 subjects.

This paper explores designing high-plex mass tags using differential mass defect to enable large-scale multiplexing in proteomics.

This paper introduces Unified Network Spectroscopy (UNS), a method to infer biological dynamics from fluctuations, addressing issues with noise structure and ergodicity.