We sublocalized the yeast nucleoporin Nup82 to the cytoplasmic side of the nuclear pore complex (NPC) by immunoelectron microscopy. Moreover, by in vitro binding assays we showed that Nup82 interacts with the C-terminal region of Nup159, a yeast nucleoporin that previously was also localized to the cytoplasmic side of the NPC. Hence, the two nucleoporins, Nup82 and Nup159, form a cytoplasmically oriented subcomplex that is likely to be part of the fibers emanating from the cytoplasmic ring of the NPC. Overexpression of Rss1/Gle1, a putative nucleoporin and/or mRNA transport factor, was shown previously to partially rescue depletion of Nup159. We show here that overexpression of Rss1/Gle1 also partially rescued depletion of Nup82. Depletion of either Nup82, Nup159, or Rss1/Gle1 was shown previously to inhibit mRNA export. As was reported previously for depletion of Nup159 or of Rss1/Gle1, we show here that depletion of Nup82 has no detectable effect on classical nuclear localization sequence-mediated nuclear import. In summary, the nucleoporins Nup159 and Nup82 form a cytoplasmically oriented subcomplex of the NPC that is likely associated with Rss1/Gle1; this complex is essential for RNA export, but not for classical nuclear localization sequence-mediated nuclear protein import.
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http://dx.doi.org/10.1073/pnas.95.19.11241 | DOI Listing |
Sci Rep
January 2025
Department of Genetics and Biotechnology, Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin, Korea.
Melanosome transport is regulated by major proteins, including Rab27a, Melanophilin (Mlph), and Myosin Va (Myo-Va), that form a tripartite complex. Mutation of these proteins causes melanosome aggregation around the nucleus. Among these proteins, Mlph is a linker between Rab27a and Myo-Va.
View Article and Find Full Text PDFJ Clin Pathol
January 2025
Institute of Liver Studies, King's College Hospital, London, UK
Aims: To reveal clinicopathological characteristics of alcoholic foamy degeneration (AFD)-an uncommon form of alcoholic liver injury.
Methods: Clinicopathological features of AFD (n=9) were examined in comparison to those of severe alcoholic hepatitis (SAH; n=12).
Results: Patients with AFD presented with either biochemical liver dysfunction (n=1) or clinical jaundice (n=8).
Cureus
December 2024
Oral Medicine and Radiology, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology (SRMIST), Chennai, IND.
Dentistry still faces difficulties in diagnosing oral precancer and cancer, especially when it comes to early phase changes or disease detection, evaluation, and treatment. In essence, oral lumenography is the process of identifying oral lesions using a chemiluminescent light source and a toluidine blue labeling system. Since neoplastic epithelial cells have a changed nuclear-cytoplasmic ratio, acetic acid dehydration brings out this nuclear density and gives the tissue an "acetowhite" look.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Icahn School of Medicine at Mount Sinai, Queens Hospital Center, Jamaica, USA.
Vasculitides represent a range of disorders marked by inflammation of blood vessels, often posing significant diagnostic challenges due to their diverse clinical presentations and involvement of multiple organ systems. We present the case of a 26-year-old woman who arrived with hemoptysis and a background of exertional dyspnea, chest pain, and occasional visual disturbances. Initial investigations showed elevated perinuclear anti-neutrophil cytoplasmic antibodies (P-ANCAs) and myeloperoxidase antibodies (MPOs), indicative of microscopic polyangiitis (MPA).
View Article and Find Full Text PDFNat Commun
January 2025
Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, China.
Mitochondrial morphology and function are intrinsically linked, indicating the opportunity to predict functions by analyzing morphological features in live-cell imaging. Herein, we introduce MoDL, a deep learning algorithm for mitochondrial image segmentation and function prediction. Trained on a dataset of 20,000 manually labeled mitochondria from super-resolution (SR) images, MoDL achieves superior segmentation accuracy, enabling comprehensive morphological analysis.
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