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Homologous chromosome synapsis in inversion heterozygotes results in the formation of inversion loops. These loops might be transformed into straight, non-homologously paired bivalents via synaptic adjustment. Synaptic adjustment was discovered 30 years ago; however, its relationship with recombination has remained unclear. We analysed this relationship in female mouse embryos heterozygous for large paracentric inversion In(1)1Rk using immunolocalisation of the synaptonemal complex (SYCP3) and mature recombination nodules (MLH1) proteins. The frequency of cells containing bivalents with inversion loops decreased from 69 % to 28 % during pachytene. If an MLH1 focus was present in the non-homologously paired inverted region of the straight bivalent, it was always located in the middle of the inversion. Most of the small, incompletely adjusted loops contained MLH1 foci near the points at which pairing partners were switched. This observation indicates that the degree of synaptic adjustment depended on the crossover position. Complete synaptic adjustment was only possible if a crossover (CO) was located exactly in the middle of the inversion. If a CO was located at any other site, this interrupted synaptic adjustment and resulted in inversion loops of different sizes with an MLH1 focus at or near the edge of the remaining loop.
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http://dx.doi.org/10.1007/s10577-012-9336-6 | DOI Listing |
Redox Biol
September 2025
Department of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, NY, 14642, USA; Department of Anesthesiology and Perioperative Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA. Electronic address:
Mitochondria are central to cellular function, acting as metabolic hubs that regulate energy transduction to communicate cellular status. A key component of this energetic regulation is the mitochondrial membrane potential (MMP), a charge separation across the inner mitochondrial membrane generated by the electron transport chain. Beyond MMP's canonical role in driving ATP synthesis, MMP acts as a dynamic signaling hub.
View Article and Find Full Text PDFFront Neural Circuits
September 2025
Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan.
Neuronal networks in animal brains are considered to realize specific filter functions through the precise configuration of synaptic weights, which are autonomously regulated without external supervision. In this study, we employ a single Hodgkin-Huxley-type neuron with autapses as a minimum model to computationally investigate how spike-timing-dependent plasticity (STDP) adjusts synaptic weights through recurrent feedback. The results show that the weights undergo oscillatory potentiation or depression with respect to autaptic delay and high-frequency stimulation.
View Article and Find Full Text PDFEur J Pediatr
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Laboratory Physical Activity and Health, Center of Physical Education and Sport, State University of Londrina, Rodovia Celso Garcia Cid, PR-445, Km 380 - Campus Universitário, Londrina, Paraná, 86057-970, Brazil.
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View Article and Find Full Text PDFCurr Biol
August 2025
Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.
Humans and other primates are capable of learning to recognize new visual stimuli throughout their lifetimes. Most theoretical models assume that such learning occurs through the adjustment of the large number of synaptic weights connecting the visual cortex to downstream decision-making areas. While this approach to learning can optimize performance on behavioral tasks, it can also be costly in terms of time and energy.
View Article and Find Full Text PDFbioRxiv
August 2025
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile.
Whole-brain models are valuable tools for understanding brain dynamics in health and disease by enabling the testing of causal mechanisms and identification of therapeutic targets through dynamic simulations. Among these models, biophysically inspired neural mass models have been widely used to simulate electrophysiological recordings, such as MEG and EEG. However, traditional models face limitations, including susceptibility to hyperexcitation, which constrains their ability to capture the full richness of neural dynamics.
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