Revealing the Potential-Dependent Rate-Determining Step of Oxygen Reduction Reaction on Single-Atom Catalysts.

Single-atom catalysts (SACs) have attracted widespread attention due to their potential to replace platinum-based catalysts in achieving efficient oxygen reduction reaction (ORR), yet the rational optimization of SACs remains challenging due to their elusive reaction mechanisms. Herein, by employing ab initio molecular dynamics simulations and a thermodynamic integration method, we have constructed the potential-dependent free energetics of ORR on a single iron atom catalyst dispersed on nitrogen-doped graphene (Fe-N/C) and further integrated these parameters into a microkinetic model. We demonstrate that the rate-determining step (RDS) of the ORR on SACs is potential-dependent rather than invariant within the operative potential range.

Comprehensive analysis of the xbp1 gene in Pacific abalone Haliotis discus hannai: Structure, expression, and role in heat stress response.

The present study explores the x-box binding protein 1 (xbp1) gene in Haliotis discus hannai (Pacific abalone), focusing on its structure, expression, and functional role under heat stress. Southern blot revealed two copies of xbp1 in the intestine and mantle, one in the gill and muscle, and no detection in the digestive gland. mRNA expression levels were highest in the gill, followed by the mantle, intestine, and muscle, with the digestive gland showing the lowest expression.

Redox modification of mA demethylase SlALKBH2 in tomato regulates fruit ripening.

Hydrogen peroxide (HO) functions as a critical signalling molecule in controlling multiple biological processes. How HO signalling integrates with other regulatory pathways such as epigenetic modification to coordinately regulate plant development remains elusive. Here we report that SlALKBH2, an mA demethylase required for normal ripening of tomato fruit, is sensitive to oxidative modification by HO, which leads to the formation of homodimers mediated by intermolecular disulfide bonds, and Cys39 serves as a key site in this process.

A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data.

Transfer learning aims to integrate useful information from multi-source datasets to improve the learning performance of target data. This can be effectively applied in genomics when we learn the gene associations in a target tissue, and data from other tissues can be integrated. However, heavy-tail distribution and outliers are common in genomics data, which poses challenges to the effectiveness of current transfer learning approaches.

A signaling molecule from intratumor bacteria promotes trastuzumab resistance in breast cancer cells.

Emerging evidence indicates that intratumor bacteria exist as an active and specific tumor component in many tumor types beyond digestive and respiratory tumors. However, the biological impact and responsible molecules of such local bacteria-tumor direct interaction on cancer therapeutic response remain poorly understood. Trastuzumab is among the most commonly used drugs targeting the receptor tyrosine-protein kinase erbB-2 (ErbB2) in breast cancer, but its resistance is inevitable, severely limiting its clinical effectiveness.