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MicroRNAs are important posttranscriptional regulators of gene expression, which have been shown to fine-tune innate immune responses downstream of pattern recognition receptor (PRR) signaling. This study identifies miR-650 as a novel PRR-responsive microRNA that is downregulated upon stimulation of primary human monocyte-derived dendritic cells (MDDCs) with a variety of different microbe-associated molecular patterns. A comprehensive target search combining in silico analysis, transcriptional profiling, and reporter assays reveals that miR-650 regulates several well-known interferon-stimulated genes, including IFIT2 and MXA. In particular, downregulation of miR-650 in influenza A infected MDDCs enhances the expression of MxA and may therefore contribute to the establishment of an antiviral state. Together these findings reveal a novel link between miR-650 and the innate immune response in human MDDCs.
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http://dx.doi.org/10.1002/eji.201444970 | DOI Listing |
Neural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
View Article and Find Full Text PDFComput Biol Med
September 2025
Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, E3B 5A3, NB, Canada.
Pattern recognition-based myoelectric control is traditionally trained with static or ramp contractions, but this fails to capture the dynamic nature of real-world movements. This study investigated the benefits of training classifiers with continuous dynamic data, encompassing transitions between various movement classes. We employed both conventional (LDA) and deep learning (LSTM) classifiers, comparing their performance when trained with ramp data, continuous dynamic data, and an LSTM pre-trained with a self-supervised learning technique (VICReg).
View Article and Find Full Text PDFJ Anim Sci
September 2025
Centre for Veterinary Systems Transformation and Sustainability, Clinical Department for Farm Animals and Food System Science, University of Veterinary Medicine Vienna, Vienna 1210, Austria.
It is helpful for diagnostic purposes to improve our current knowledge of gut development and serum biochemistry in young piglets. This study investigated serum biochemistry, and gut site-specific patterns of short-chain fatty acids (SCFA) and expression of genes related to barrier function, innate immune response, antioxidative status and sensing of fatty and bile acids in suckling and newly weaned piglets. The experiment consisted of two replicate batches with 10 litters each.
View Article and Find Full Text PDFFront Hum Neurosci
August 2025
Department of Psychology, Northeastern University, Boston, MA, United States.
Mentalizing skills-the capacity to attribute mental states-play critical roles in word learning during typical language development. In autism, mentalizing difficulties may constrain word-learning pathways, limiting language-acquisition opportunities. We ask how autistic children encode and retrieve novel words and what drives individual differences.
View Article and Find Full Text PDFJ Cogn
September 2025
Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
Plausibility seems to play a key role in how well people remember the veracity of information. In a study by Vorms and colleagues (2022), an interaction pattern between statement plausibility and veracity feedback on memory performance appeared: Plausible statements were significantly more often correctly identified as true than correctly identified as false; for implausible statements, the descriptive trend was reversed. Given the importance of accurate memory for truth and falsity in real-world settings, it is crucial to understand the cognitive processes underlying this plausibility effect.
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