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The paper identifies optimal scaling laws between mRNA and protein levels that maximize cell fitness, showing a universal lower bound of 0.5 for the scaling exponent across organisms.

The paper maps protein interactions involved in IL-2 secretion in human T cells, identifying key components of the secretory pathway and their dynamic regulation.

The paper develops multiscale models linking EGFR receptor dynamics to tumor growth thresholds, showing how receptor abundance and ligand binding affect sustained tumor initiation.

The paper constructs a network model to identify crosstalk between p53 and cell-cycle regulators, revealing mechanisms enabling cells to escape cell-cycle arrest and undergo mitotic catastrophe.

The paper develops a mathematical framework using CTMCs and quasi-stationary distributions to analyze stochastic behavior in multi-stable gene regulatory networks, providing design principles for toggle switches.

This study compares DDA-MS and DIA-MS for proteomic analysis of lung compartments in beryllium-related disease, finding DIA-MS provides better quantitative completeness and detects more low-abundance proteins.

The paper identifies altered lipid metabolism in neonates with gastroschisis using cord blood metabolomics, revealing potential biomarkers and pathway-level changes.

This study shows that purinergic signaling disrupts multi-cellular coordination in basal Xenobots, altering information flow and integration.

The paper models how antifungal tolerance and resistance in Candidozyma auris depend on infection load, drug treatment, and host immunity.

PRIME infers mechanistic cell states from multimodal single-cell data by embedding counts in a probability generating function space, enabling robust kinetic analysis and clustering.

This study uses predictive neuromechanical simulations to show that obesity-related gait changes and knee loading are influenced by both body mass distribution and objectives that penalize knee loading.

HIP-MS is an automated platform for high-throughput interactome profiling that improves sensitivity and throughput compared to traditional AE-MS methods.

The paper models fibroblast-macrophage circuits to show endocytosis stabilizes coexistence under resource competition by suppressing stochastic failure, with macrophage CSF uptake being critical.

The paper identifies three thermodynamically distinct product profiles in Clostridial fermentation and shows that intermediate ratios require less efficient pathways due to conflicting redox demands.

The paper presents the first single-cell immune atlas of a Mainland Southeast Asian population, showing genetic ancestry shapes innate immune profiles and highlights sex-by-ancestry interactions in immune activation.

This paper evaluates LLM capabilities for analyzing genome-scale metabolic models, identifying strengths and limitations across domain knowledge, flux prediction, pathway construction, and optimization tasks.

This study links gut transit time, inferred from stool consistency, to microbial metabolites and microbiota in infants, showing associations with breastfeeding, bile acid metabolism, and short-chain fatty acids.

The paper develops a mathematical model of the IL-10 signaling pathway to explain its pleiotropic effects and suggests implications for IL-10-based therapies.

The paper evaluates prediction variability in PBPK models under deep uncertainty, showing significant variation in PK statistics and model disagreement for certain chemical compounds.

RISOP improves identification of oxidized phospholipids using reference pools, increasing detected species in stressed cells.