The technique of RNA in situ hybridization to mouse embryo sections from different developmental stages was used to perform a detailed analysis of the expression pattern of the gene for the architectural chromatin factor Hmgic. At early stages of fetal development (day 9.5 post conceptionem), Hmgic is expressed at a high rate throughout the whole embryo. In the second half of development, the pattern of expression becomes more restricted. Expression is found in mesenchymal derivatives, which differentiate into cartilage or muscle, in epithelial cell layers of the lung, pancreas, submandibular gland, and vibrissae, and in some special parts of the central nervous system. The expression pattern of Hmgic was compared with the previously reported studies of Hmgiy gene expression, another member of the Hmgic protein family, and with the expression of histone H4, Hist4, which is representative of cellular proliferation stages. In some tissues the pattern of expression for both factors coincides, but in others the expression is different. Hmgic expression correlates throughout fetal development with high proliferative activity. In contrast, Hmgiy is expressed also in tissues with no proliferative activity, such as the cortical plate of the telencephalon and the spinal cord at late gestational stages.
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Viruses
December 2024
Department of Experimental and Clinical Medicine, University of Florence, Viale Morgagni 48, I-50134 Florence, Italy.
Background: Understanding the interference patterns of respiratory viruses could be important for shedding light on potential strategies to combat these human infectious agents.
Objective: To investigate the possible interactions between adenovirus type 2 (AdV2), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza A/H1N1 pandemic (H1N1pdm09) using the A549 cell line.
Methods: Single infections, co-infections, and superinfections (at 3 and 24 h after the first virus infection) were performed by varying the multiplicity of infection (MOI).
Viruses
November 2024
Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510000, China.
is a major global threat to human health, and phage therapy has emerged as a promising strategy for treating infections caused by multidrug-resistant pathogens. In this study, we isolated and characterized a lytic phage, PaTJ, from wastewater. PaTJ belongs to the phage family , and is featured by short latency (30 min) and large burst size (10 PFU per infected cell).
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November 2024
Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
The mechanisms of the innate immunity control of equine infectious anemia virus in horses are not yet widely described. Equine monocytes isolated from the peripheral blood of three Equine infectious anemia (EIA) seronegative horses were differentiated in vitro into macrophages that gave rise to mixed cell populations morphologically referable to M1 and M2 phenotypes. The addition of two equine recombinant cytokines and two EIA virus reference strains, Miami and Wyoming, induced a more specific cell differentiation, and as for other species, IFNγ and IL4 stimulation polarized horse macrophages respectively towards the M1 and the M2 phenotypes.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Graduate Institute of Biomedical Sciences, China Medical University, Taichung 404, Taiwan.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction and communication. While many studies suggest that individuals with ASD struggle with emotion processing, the association between emotion processing and autistic traits in non-clinical populations is still unclear. We examine whether neurotypical adults' facial emotion recognition and expression imitation are associated with autistic traits.
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December 2024
Department of Information Convergence Engineering, Pusan National University, Busan 46241, Republic of Korea.
Dialogue systems must understand children's utterance intentions by considering their unique linguistic characteristics, such as syntactic incompleteness, pronunciation inaccuracies, and creative expressions, to enable natural conversational engagement in child-robot interactions. Even state-of-the-art large language models (LLMs) for language understanding and contextual awareness cannot comprehend children's intent as accurately as humans because of their distinctive features. An LLM-based dialogue system should acquire the manner by which humans understand children's speech to enhance its intention reasoning performance in verbal interactions with children.
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