Assessment of Posttranslational Modifications of ATG proteins

AI-organoid integrated systems for biomedical studies and applications

In this review, we explore the growing role of artificial intelligence (AI) in advancing the biomedical applications of human pluripotent stem cell (hPSC)-derived organoids. Stem cell-derived organoids, these miniature organ replicas, have become essential tools for disease modeling, drug discovery, and regenerative medicine. However, analyzing the vast and intricate datasets generated from these organoids can be inefficient and error-prone. AI techniques offer a promising solution to efficiently extract insights and make predictions from diverse data types generated from microscopy images, transcriptomics, metabolomics, and proteomics. This review offers a brief overview of organoid characterization and fundamental concepts in AI while focusing on a comprehensive exploration of AI applications in organoid-based disease modeling and drug evaluation. It provides insights into the future possibilities of AI in enhancing the quality control of organoid fabrication, label-free organoid recognition, and three-dimensional image reconstruction of complex organoid structures. This review presents the challenges and potential solutions in AI-organoid integration, focusing on the establishment of reliable AI model decision-making processes and the standardization of organoid research.

Downregulation of autophagy by Met30-mediated Atg9 ubiquitination

Macroautophagy/autophagy is a highly conserved eukaryotic molecular process that facilitates the recycling of superfluous cytoplasmic materials, damaged organelles, and invading pathogens, resulting in proper cellular homeostasis and survival during stress conditions. Autophagy is stringently regulated at multiple stages, including control at transcriptional, translational, and posttranslational levels. In this work, we identified a mechanism by which regulation of autophagy is achieved through the posttranslational modification of Atg9. Here, we show that, in order to limit autophagy to a low, basal level during normal conditions, Atg9 is ubiquitinated and subsequently targeted for degradation in a proteasome-dependent manner through the action of the E3 ligase Met30. When cells require increased autophagy flux to respond to nutrient deprivation, the proteolysis of Atg9 is significantly reduced. Overall, this work reveals an additional layer of mechanistic regulation that allows cells to further maintain appropriate levels of autophagy and to rapidly induce this process in response to stress.

Assays to Monitor Autophagy Progression in Cell Cultures

The vast number of implications of autophagy in multiple areas of life sciences and medicine has attracted the interest of numerous scientists that aim to unveil the role of this process in specific physiological and pathological contexts. Cell cultures are one of the most frequently used experimental setup for the investigation of autophagy. As a result, it is essential to assess this highly regulated molecular pathway with efficient and reliable methods. Each method has its own advantages and disadvantages. Here, we present a review summarizing the most established assays used to monitor autophagy induction and progression in cell cultures, in order to guide researchers in the selection of the most optimal solution for their experimental setup and design.