Infiltrating plasma cells maintain glioblastoma stem cells through IgG-Tumor binding.

Glioblastoma is a highly aggressive primary brain tumor with glioblastoma stem cells (GSCs) enforcing the intra-tumoral hierarchy. Plasma cells (PCs) are critical effectors of the B-lineage immune system, but their roles in glioblastoma remain largely unexplored. Here, we leverage single-cell RNA and B cell receptor sequencing of tumor-infiltrating B-lineage cells and reveal that PCs are aberrantly enriched in the glioblastoma-infiltrating B-lineage population, experience low level of somatic hypermutation, and are associated with poor prognosis.

AGEING RESEARCH REVIEWS (ARR-D-24-01334R1) Metabolic dysfunction contributes to mood disorders after traumatic brain injury.

Traumatic brain injury (TBI) presents significant risks concerning mortality and morbidity. Individuals who suffer from TBI may exhibit mood disorders, including anxiety and depression. Both preclinical and clinical research have established correlations between TBI and disturbances in the metabolism of amino acids, lipids, iron, zinc, and copper, which are implicated in the emergence of mood disorders post-TBI.

Pure Mg Cathode for Highly Efficient Single-Layer Organic Light-Emitting Diodes.

Highly efficient single-layer organic light-emitting diodes (OLEDs) are demonstrated by using a pure Mg cathode that is seeded with a small amount of Ag nucleation sites. Bis(4-phenylthieno[3,2-]pyridinato-,C2')(acetylacetonate)iridium(III) (PO-01)-doped devices with three-, two-, and one-region doping configurations exhibit maximum external quantum efficiency (EQE) values of 22.8%, 21.

YTHDF2 promotes arsenic-induced malignant phenotypes by degrading PIDD1 mRNA in human keratinocytes.

Arsenic is a widespread environmental carcinogen, and its carcinogenic mechanism has been the focus of toxicology. N-methyladenosine (mA) binding protein YTH domain family protein 2 (YTHDF2) performs various biological functions by degrading mA-modified mRNAs. However, the mA-modified target mRNA of YTHDF2 in regulating arsenic carcinogenesis remains largely unknown.

Entropy-informed multi-stage sampling design for soil pollution mapping in heavy metal contaminated areas.

The accuracy of soil heavy metal pollution mapping is heavily reliant on the sampling strategies utilized in both the preliminary and detailed survey stages of site investigations. This study introduces an entropy-informed multi-stage sampling design (EIMSD) method that leverages preliminary survey data as background information and utilizes relative entropy to progressively select sampling points in detailed surveys. Results indicate that the EIMSD method outperforms the grid sampling design (GSD) and conventional sampling design (CSD) methods across both hypothetical and real-world study areas.