Extracellular vesicles (EVs) can mediate intercellular communication by transferring cargo proteins and nucleic acids between cells. The pathophysiological roles and clinical value of EVs are under intense investigation, yet most studies are limited by technical challenges in the isolation of nanoscale EVs (nEVs). Here, we report a lipid-nanoprobe system that enables spontaneous labelling of nEVs for subsequent magnetic enrichment in 15 minutes, with isolation efficiency and cargo composition similar to what can be achieved by the much slower and bulkier method of ultracentrifugation. We also show that this approach allows for downstream analyses of nucleic acids and proteins, enabling the identification of EGFR and KRAS mutations following nEV isolation from the blood plasma of non-small-cell lung-cancer patients. The efficiency and versatility of the lipid-nanoprobe approach opens up opportunities in point-of-care cancer diagnostics.

Mitochondrial integrity is central to energy homeostasis, particularly in brown adipose tissue where dynamic remodeling fuels thermogenesis. Two major proteostatic systems, the SEL1L–HRD1 endoplasmic reticulum (ER)-associated degradation (ERAD) pathway and autophagy, have been shown to intersect in vitro, but their physiological coordination in metabolically active tissues remains unclear. Here, we demonstrate that ERAD and autophagy act in synergy to safeguard mitochondrial integrity in brown adipocytes. Using various adipocyte-specific knockout (KO) mouse models and high-resolution ultrastructural 2D and 3D imaging, we show that simultaneous deletion of Sel1L and Atg7 (double KO, DKO) causes striking mitochondrial abnormalities under room temperature, absent in single KO or Sel1L-Ire1a double knockout mice. DKO adipocytes accumulate hyperfused megamitochondria extensively penetrated by ER tubules, accompanied by ER expansion, excessive ER–mitochondrial contacts, and impaired thermogenesis. These findings reveal that SEL1L–HRD1 ERAD and autophagy cooperate, rather than act redundantly, to maintain mitochondrial integrity in brown fat, uncovering a previously unrecognized mitochondrial surveillance mechanism based on ERAD–autophagy crosstalk.

Background/Objective: The primary cilium is the sensory organelle of a cell and a dynamic membrane protrusion during the cell cycle. It originates from the centriole at G₀/G₁ and undergoes disassembly to release centrioles for spindle formation before a cell enters mitosis, thereby serving as a cell cycle checkpoint. Cancer cells that undergo rapid cell cycle and replication have a low ciliation rate. In this study, we aimed to identify cilia-promoting drugs that can accelerate ciliation and decelerate replication of cancer cells. Methods: To perform a comprehensive and efficient literature search on drugs that can promote ciliation, we developed an intelligent process that integrates either the GPT 4 Turbo, Gemini 1.5 Pro, or Claude 3.5 Haiku application programming interfaces (APIs) into a PubMed scraper that we coded, enabling the large language models (LLMs) to directly query articles for predefined user questions. We evaluated the performance of this intelligent literature search based on metrics and tested the effect of two candidate drugs on ciliation and proliferation of medulloblastoma cells. Results: Gemini was the best model overall, as it balanced high accuracy with solid precision and recall scores. Among the top candidate drugs identified are Alvocidib and Alisertib, small-molecule inhibitors of CILK1 and AURKA, respectively. Here, we show that both kinase inhibitors can effectively increase cilia frequency and significantly decrease the replication of medulloblastoma cells. Conclusions: The results demonstrated the potential of using cilia-promoting drugs, such as Alvocidib and Alisertib, to suppress cancer cell replication. Additionally, it shows the massive benefits of integrating accessible large language models to conduct sweeping, rapid, and accurate literature searches.