In Salmonella-infected cells, the bacterial effector SifA forms a functional complex with the eukaryotic protein SKIP (SifA and kinesin-interacting protein). The lack of either partner has important consequences on the intracellular fate and on the virulence of this pathogen. In addition to SifA, SKIP binds the microtubule-based motor kinesin-1. Yet the absence of SifA or SKIP results in an unusual accumulation of kinesin-1 on the bacterial vacuolar membrane. To understand this apparent contradiction, we investigated the interaction between SKIP and kinesin-1 and the function of this complex. We show that the C-terminal RUN (RPIP8, UNC-14 and NESCA) domain of SKIP interacted specifically with the tetratricopeptide repeat (TPR) domain of the kinesin light chain. Overexpression of SKIP induced a microtubule- and kinesin-1-dependent anterograde movement of late endosomal/lysosomal compartments. In infected cells, SifA contributed to the fission of vesicles from the bacterial vacuole and the SifA/SKIP complex was required for the formation and/or the anterograde transport of kinesin-1-enriched vesicles. These observations reflect the role of SKIP as a linker and/or an activator for kinesin-1.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1600-0854.2010.01069.x | DOI Listing |
Diagnostics (Basel)
January 2025
Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA 92093, USA.
Liver ultrasound segmentation is challenging due to low image quality and variability. While deep learning (DL) models have been widely applied for medical segmentation, generic pre-configured models may not meet the specific requirements for targeted areas in liver ultrasound. Quantitative ultrasound (QUS) is emerging as a promising tool for liver fat measurement; however, accurately segmenting regions of interest within liver ultrasound images remains a challenge.
View Article and Find Full Text PDFVet Sci
December 2024
Department of Veterinary Clinical Sciences, Louisiana State University, Skip Bertman Dr, Baton Rouge, LA 70803, USA.
Over the last two decades, the insects-as-food-and-feed industry has rapidly emerged. Its growth is largely because insects require substantially less resources (water, food, and energy) to produce than traditional sources of animal protein, making it a sustainable alternative food option. As this industry continues to grow, veterinarians will likely be called upon to assist in identifying food safety concerns, assessing animal health, implementing biosecurity measures, and formulating/prescribing treatment protocols comparable to what we have seen with the honeybee industry and the institution of veterinary feed directives (VFDs).
View Article and Find Full Text PDFMed Image Anal
January 2025
Department of Computer and Data Science and Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA.
Accurate automatic polyp segmentation in colonoscopy is crucial for the prompt prevention of colorectal cancer. However, the heterogeneous nature of polyps and differences in lighting and visibility conditions present significant challenges in achieving reliable and consistent segmentation across different cases. Therefore, this study proposes a novel dynamic spectrum-driven hierarchical learning model (DSHNet), the first to specifically leverage image frequency domain information to explore region-level salience differences among and within polyps for precise segmentation.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Division of Public Health, Infectious Disease, and Occupational Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
The skip phenomenon (SP) is a pattern where blood cultures are intermittently positive before final clearance. We report that one-third of patients with infective endocarditis experienced the SP. Patients with the SP experienced both a longer duration of bacteremia and hospital stay, with a higher 1-year mortality rate.
View Article and Find Full Text PDFJ Struct Biol
January 2025
Shenzhen Bay Laboratory, Shenzhen 518132, China; Lingang Laboratory, Shanghai 200032, China. Electronic address:
Mitochondria are double membrane-bound organelles essential for generating energy in eukaryotic cells. Mitochondria can be readily visualized in 3D using Volume Electron Microscopy (vEM), and accurate image segmentation is vital for quantitative analysis of mitochondrial morphology and function. To address the challenge of segmenting small mitochondrial compartments in vEM images, we propose an automated mitochondrial segmentation method called GCTransNet.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!