Mitochondria play a crucial role in most eukaryotic cells. Mitophagy is a process that controls their quality and quantity within the cells. The outer mitochondrial membrane protein, Atg32, serves as the mitophagic receptor. It interacts with the Atg11 protein to initiate mitophagy and with the Atg8 protein to ensure the engulfment of mitochondria into the autophagosomes for elimination. The Atg32 protein is regulated at the transcriptional level but also by posttranslational modifications. In this study, we described a new regulator of mitophagy, the protein Dep1, identified as a part of the Rpd3L histone deacetylase complex. We showed that the Dep1 protein is localized in the nucleus and associated with mitochondria. This protein is needed for mitophagy and to regulate the transcription and expression of the Atg32 protein. The absence of this protein affects the mitophagy process induced by either starvation for nitrogen or the stationary phase of growth.
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http://dx.doi.org/10.1016/j.bbrc.2022.10.052 | DOI Listing |
Annu Rev Biomed Eng
January 2025
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA; email:
Biochemical signals in native tissue microenvironments instruct cell behavior during many biological processes ranging from developmental morphogenesis and tissue regeneration to tumor metastasis and disease progression. The detection and characterization of these signals using spatial and highly resolved quantitative methods have revealed their existence as matricellular proteins in the matrisome, some of which are bound to the extracellular matrix while others are freely diffusing. Including these biochemical signals in engineered biomaterials can impart enhanced functionality and native-like complexity, ultimately benefiting efforts to understand, model, and treat various diseases.
View Article and Find Full Text PDFAm J Trop Med Hyg
January 2025
Centro de Investigaciones Regionales "Dr. Hideyo Noguchi," Universidad Autónoma de Yucatán, Mérida, México.
The socioecological conditions of Mexican regions are conducive to the spread of vector-borne diseases. Although there are established treatment guidelines for dengue and rickettsiosis, diagnosis is complicated. The objective of this work was to identify epitopes of Rickettsia and dengue virus that could be used in serology screening against vector-borne diseases.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Microsystems Engineering (IMTEK), Laboratory for Chemistry & Physics of Interfaces (CPI), Albert Ludwigs Universität Freiburg, Georges Köhler Allee 103, 79110 Freiburg, Germany.
Glaucoma, a leading cause of blindness, demands innovative and effective treatments that surpass the limitations of current drug and surgical interventions to lower intraocular pressure. This study describes the generation of cell-repellent hydrogel patches, their deposition on the ocular surface, and a photoinduced chemical binding between the patches and the collagens of the eye. The hydrophilic and protein-repellent hydrogel patch is composed of a copolymer made from dimethylacrylamide and a comonomer unit with anthraquinone moieties.
View Article and Find Full Text PDFJ Med Chem
January 2025
Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
The Ca/calmodulin-dependent protein kinase II α (CaMKIIα) plays a crucial role in regulating neuronal signaling and higher brain functions, being involved in various brain diseases. Utilization of small molecules targeting the CaMKIIα hub domain has proved to be a promising strategy for specific CaMKIIα modulation and future therapy. Through an structure-based virtual screening campaign, we herein identified 2-arylthiazole-4-carboxylic acids as a new class of high-affinity CaMKIIα hub ligands.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
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