Advances in understanding the role of squalene epoxidase in cancer prognosis and resistance.

Recently, there has been burgeoning interest in the involvement of cholesterol metabolism in cancer. Squalene epoxidase (SQLE), as a critical rate-limiting enzyme in the cholesterol synthesis pathway, has garnered attention due to its overexpression in various cancer types, thereby significantly impacting tumor prognosis and resistance mechanisms. Firstly, SQLE contributes to unfavorable prognosis through diverse mechanisms, encompassing modulation of the PI3K/AKT signaling pathway, manipulation of the cancer microenvironment, and participation in ferroptosis.

EIF4A3-induced circ_0022382 promotes breast cancer cell progression through the let-7a-5p/PI3K/AKT/mTOR signaling pathway and SLC7A11 axis.

Introduction: Breast cancer is one of the most common cancers in women and poses a serious threat to women's health. Circular RNAs (circRNAs) have been found to be specifically expressed in cancers and regulate the growth and death of tumor cells. The role of circRNAs in breast cancer remain unknown.

Invasive lobular carcinoma integrated multi-omics analysis reveals silencing of Arginosuccinate synthase and upregulation of nucleotide biosynthesis in tamoxifen resistance.

Invasive Lobular Carcinoma (ILC), a distinct subtype of breast cancer is hallmarked by E-Cadherin loss, slow proliferation, and strong hormone receptor positivity. ILC faces significant challenges in clinical management due to advanced stage at diagnosis, late recurrence, and development of resistance to endocrine therapy - a cornerstone of ILC treatment. To elucidate the mechanisms underlying endocrine resistance in ILC, ILC cell lines (MDA-MB-134-VI, SUM44PE) were generated to be resistant to tamoxifen, a selective estrogen receptor modulator.

SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data.

Rapid technological advancements have made it possible to generate single-cell data at a large scale. Several laboratories around the world can now generate single-cell transcriptomic data from different tissues. Unsupervised clustering, followed by annotation of the cell type of the identified clusters, is a crucial step in single-cell analyses.

Efficient ternary organic solar cells with suppressed nonradiative recombination via B‒N based polymer donor.

Organic solar cells (OSCs) have developed rapidly in recent years. However, the energy loss ( ) remains a major obstacle to further improving the photovoltaic performance. To address this issue, a ternary strategy has been employed to precisely tune the and boost the efficiency of OSCs.