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| http://dx.doi.org/10.1177/014107680309600607 | DOI Listing |
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Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation.
Int J Mol Sci
January 2025
Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan.
The tRNA epitranscriptome has been recognized as an important player in mRNA translation regulation. Our knowledge of the role of the tRNA epitranscriptome in fine-tuning translation via codon decoding at tissue or cell levels remains incomplete. We analyzed tRNA expression and modifications as well as codon optimality across seven mouse tissues.
View Article and Find Full Text PDFSonic Hedgehog Determines Early Retinal Development and Adjusts Eyeball Architecture.
Int J Mol Sci
January 2025
Department of Developmental and Regenerative Biology, Medical Research Institute, Institute of Science Tokyo, Tokyo 113-8510, Japan.
The eye primordium of vertebrates initially forms exactly at the side of the head. Later, the eyeball architecture is tuned to see ahead with better visual acuity, but its molecular basis is unknown. The position of both eyes in the face alters in patients with holoprosencephaly due to () mutations that disturb the development of the ventral midline of the neural tube.
View Article and Find Full Text PDFTime series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro.
PLoS One
January 2025
Instituto de Microelectrónica de Sevilla (IMSE-CNM), Consejo Superior de Investigaciones Científicas (CSIC) and Universidad de Sevilla, Sevilla, Spain.
Epilepsy is a prevalent neurological disorder that affects approximately 1% of the global population. Approximately 30-40% of patients respond poorly to antiepileptic medications, leading to a significant negative impact on their quality of life. Closed-loop deep brain stimulation (DBS) is a promising treatment for individuals who do not respond to medical therapy.
View Article and Find Full Text PDFDeep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection.
Front Neuroinform
January 2025
Department of Computer Science and Engineering, Institute of Technology, Nirma University, Gujarat, India.
Introduction: The prevalence of age-related brain issues has risen in developed countries because of changes in lifestyle. Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.
Methods: A ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters.
Investigating the intrinsic top-down dynamics of deep generative models.
Sci Rep
January 2025
Department of General Psychology and Padova Neuroscience Center, University of Padova, Padova, Italy.
Hierarchical generative models can produce data samples based on the statistical structure of their training distribution. This capability can be linked to current theories in computational neuroscience, which propose that spontaneous brain activity at rest is the manifestation of top-down dynamics of generative models detached from action-perception cycles. A popular class of hierarchical generative models is that of Deep Belief Networks (DBNs), which are energy-based deep learning architectures that can learn multiple levels of representations in a completely unsupervised way exploiting Hebbian-like learning mechanisms.
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