Direct binding of arsenicals to nuclear transport factors disrupts nucleocytoplasmic transport.

Human exposure to arsenicals is associated with devastating diseases such as cancer and neurodegeneration. At the same time, arsenic-based drugs are used as therapeutic agents. The ability of arsenic to directly bind to proteins is correlated with its toxic and therapeutic effects highlighting the importance of elucidating arsenic-protein interactions.

[Extra-intestinal manifestations associated with Crohn's disease].

Extra-intestinal manifestations (EIM) associated with Crohn's disease (CD) are frequently observed and can manifest as either the initial symptom or develop later in the disease course following gastrointestinal symptoms. The most common EIM affect the joints, skin, or eyes, with some correlating with active CD activity while others may occur during periods of inactivity. EIM can affect both pediatric and adult CD patients, potentially reducing their quality of life if not promptly identified and treated.

Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models.

Unlabelled: The PI3K pathway regulates essential cellular functions and promotes chemotherapy resistance. Activation of PI3K pathway signaling is commonly observed in triple-negative breast cancer (TNBC). However previous studies that combined PI3K pathway inhibitors with taxane regimens have yielded inconsistent results.

Elimination of virus-like particles reduces protein aggregation and extends replicative lifespan in .

A major consequence of aging and stress, in yeast to humans, is an increased accumulation of protein aggregates at distinct sites within the cells. Using genetic screens, immunoelectron microscopy, and three-dimensional modeling in our efforts to elucidate the importance of aggregate annexation, we found that most aggregates in yeast accumulate near the surface of mitochondria. Further, we show that virus-like particles (VLPs), which are part of the retrotransposition cycle of Ty elements, are markedly enriched in these sites of protein aggregation.

Automated segmentation of cell organelles in volume electron microscopy using deep learning.

Recent advances in computing power triggered the use of artificial intelligence in image analysis in life sciences. To train these algorithms, a large enough set of certified labeled data is required. The trained neural network is then capable of producing accurate instance segmentation results that will then need to be re-assembled into the original dataset: the entire process requires substantial expertise and time to achieve quantifiable results.