Lipidomic analysis of plant-derived extracellular vesicles for guidance of potential anti-cancer therapy.

Plant-derived extracellular vesicles (PEVs) have been regarded as a superior source for nanomedicine and drug delivery systems. Nevertheless, their clinical translation is hindered by the lack of clarity and even contradiction in their biomedical applications. Herein, we conducted a comprehensive compositional analysis of four commonly used PEVs to fully understand their functional lipid contents and assess their potential therapeutic applications.

Single-cell transcriptomics reveals heterogeneity and prognostic markers of myeloid precursor cells in acute myeloid leukemia.

Background: Acute myeloid leukemia (AML) is a hematologic tumor with poor prognosis and significant clinical heterogeneity. By integrating transcriptomic data, single-cell RNA sequencing data and independently collected RNA sequencing data this study aims to identify key genes in AML and establish a prognostic assessment model to improve the accuracy of prognostic prediction.

Materials And Methods: We analyzed RNA-seq data from AML patients and combined it with single-cell RNA sequencing data to identify genes associated with AML prognosis.

Pan-cancer analysis shows that BCAP31 is a potential prognostic and immunotherapeutic biomarker for multiple cancer types.

Background: B-cell receptor-associated protein 31 (BCAP31) is a widely expressed transmembrane protein primarily located in the endoplasmic reticulum (ER), including the ER-mitochondria associated membranes. Emerging evidence suggests that BCAP31 may play a role in cancer development and progression, although its specific effects across different cancer types remain incompletely understood.

Methods: The raw data on BCAP31 expression in tumor and adjacent non-tumor (paracancerous) samples were obtained from the Broad Institute Cancer Cell Line Encyclopedia (CCLE) and UCSC databases.

The role of SGK1 in neurologic diseases: A friend or foe?

Serum and glucocorticoid-regulated kinase 1 (SGK1), a member of the AGC family of serine/threonine protein kinases, is one of the most conserved protein kinases in eukaryotic evolution. SGK1 is expressed to varying degrees in various types of cells throughout the body, and plays an important role in hypertension, ion channels, oxidative stress, neurological disorders, and cardiovascular regulation. In recent years, a number of scholars have devoted themselves to the study of the role and function of SGK1 in neurological diseases.

PreVISE: an efficient virtual reality system for SEEG surgical planning.

Epilepsy is a neurological disorder characterized by recurring seizures that can cause a wide range of symptoms. Stereo-electroencephalography (SEEG) is a diagnostic procedure where multiple electrodes are stereotactically implanted within predefined brain regions to identify the seizure onset zone, which needs to be surgically removed or disconnected to achieve remission of focal epilepsy. This procedure is complex and challenging due to two main reasons.