Results 61 to 70 of about 12,269,638 (359)
Molecular Oncology, EarlyView.The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina +17 more
wiley +1 more source
Gels, 2022 Peripheral nerve injuries cause different degrees of nerve palsy and function loss. Due to the limitations of autografts, nerve tissue engineering (TE) scaffolds incorporated with various neurotrophic factors and cells have been investigated to promote ...
Yuye Huang +5 more
doaj +1 more source
p75NTR as a Molecular Memory Switch [PDF]
, 2019 In recent years, many molecular and environmental factors have been studied to understand how synaptic plasticity is modulated. Sleep, as an evolutionary conserved biological function, has shown to be a critical player for the consolidation and filtering of synaptic circuitry underlying memory traces.
arxiv +1 more source
Score predictor factor analysis: Reproducing observed covariances by means of factor score predictors [PDF]
Front. Psychol. 10:1895 (2019), 2019 The model implied by factor score predictors does not reproduce the non-diagonal elements of the observed covariance matrix as well as the factor loadings. It is therefore investigated whether it is possible to estimate factor loadings for which the model implied by the factor score predictors optimally reproduces the non-diagonal elements of the ...
arxiv +1 more source
Nerve growth factor, brain-derived neurotrophic factor, and the chronobiology of mood: a new insight into the "neurotrophic hypothesis" [PDF]
, 2015 The light information pathways and their relationship with the body rhythms have generated a new insight into the neurobiology and the neurobehavioral sciences, as well as into the clinical approaches to human diseases associated with disruption of ...
IANNITELLI, ANGELA +2 more
core +2 more sources
FEBS Open Bio, EarlyView.Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui +15 more
wiley +1 more source
Advances in the pathogenesis of Rett syndrome using cell models
Animal Models and Experimental Medicine, Volume 5, Issue 6, Page 532-541, December 2022., 2022 Most Rett syndrome (RTT) patients are affected by the MECP2 gene mutations. And the mutations of MECP2 have wide effects on different cell types of nervous system, including neurons, astrocytes, oligodendrocytes and microglia, which always combined together to lead to abnormalities in the whole neural network.
Sijia Lu, Yongchang Chen, Zhengbo Wang
wiley +1 more source
Delayed onset muscle soreness: Involvement of neurotrophic factors
Journal of Physiological Sciences, 2015 Delayed-onset muscle soreness (DOMS) is quite a common consequence of unaccustomed strenuous exercise, especially exercise containing eccentric contraction (lengthening contraction, LC).
K. Mizumura, T. Taguchi
semanticscholar +1 more source
Effect of selegiline on neural stem cells differentiation: a possible role for neurotrophic factors [PDF]
Iranian Journal of Basic Medical Sciences, 2015 Objective(s): The stimulation of neural stem cells (NSCs) differentiation into neurons has attracted great attention in management of neurodegenerative disease and traumatic brain injury. It has been reported that selegiline could enhance the morphologic
Kambiz Hassanzadeh +3 more
doaj
Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks [PDF]
arXiv, 2022 Spiking Neural Networks (SNNs) are more biologically plausible and computationally efficient. Therefore, SNNs have the natural advantage of drawing the sparse structural plasticity of brain development to alleviate the energy problems of deep neural networks caused by their complex and fixed structures. However, previous SNNs compression works are lack
arxiv