Cell-membrane targeting sonodynamic therapy combination with FSP1 inhibition for ferroptosis-boosted immunotherapy.

Cell membrane targeting sonodynamic therapy could induce the accumulation of lipid peroxidation (LPO), drive ferroptosis, and further enhances immunogenic cell death (ICD) effects. However, ferroptosis is restrained by the ferroptosis suppressor protein 1 (FSP1) at the plasma membrane, which can catalyze the regeneration of ubiquinone (CoQ10) by using NAD(P)H to suppress the LPO accumulation. This work describes the construction of US-active nanoparticles (TiF NPs), which combinate cell-membrane targeting sonosensitizer TBT-CQi with FSP1 inhibitor (iFSP1), facilitating cell-membrane targeting sonodynamic-triggered ferroptosis.

QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics.

Single-cell technologies have enabled the high-dimensional characterization of cell populations at an unprecedented scale. The innate complexity and increasing volume of data pose significant computational and analytical challenges, especially in comparative studies delineating cellular architectures across various biological conditions (i.e.

Mitochondria-Targeting Type-I Photodynamic Therapy Based on Phenothiazine for Realizing Enhanced Immunogenic Cancer Cell Death via Mitochondrial Oxidative Stress.

Purpose: Photo-immunotherapy faces challenges from poor immunogenicity and low response rate due to hypoxic microenvironment. This study presents Rh-PTZ, a small organic molecule with a D-π-A structure, that simultaneously amplifies mitochondria-targeted type-I PDT-dependent immune stimulation for the treatment of hypoxic cancer.

Methods: The hydrophobic Rh-PTZ was encapsulated into F127 to prepare Rh-PTZ nanoparticles (Rh-PTZ NPs).

Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks.

With the rapid development of blockchain technology, fraudulent activities have significantly increased, posing a major threat to the personal assets of blockchain users. The blockchain transaction network formed during user transactions can be represented as a graph consisting of nodes and edges, making it suitable for a graph data structure. Fraudulent nodes in the transaction network are referred to as anomalous nodes.

Ten simple rules for good model-sharing practices.

Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models.