Results 101 to 110 of about 2,510,489 (359)

The heart of the neural crest: cardiac neural crest cells in development and regeneration

Development, 2020
Cardiac neural crest cells (cNCCs) are a migratory cell population that stem from the cranial portion of the neural tube. They undergo epithelial-to-mesenchymal transition and migrate through the developing embryo to give rise to portions of the outflow ...
Rajani M. George, Gabriel Maldonado-Velez, A. Firulli   +2 more
semanticscholar   +1 more source

Bacteriophages and development of nanomaterials for neural regeneration

Neural Regeneration Research, 2014
Bacteriophages (phages) are viruses that infect bacterial cells and hijack the metabolism of the host cells for replication and amplification of their genetic information. These bacterial viruses are known to be the most numerous life forms on earth. Recent metagenomic analyses have revealed the vast untapped diversity of bacteriophages reinforcing the
Majid Sadeghizadeh, Babak Bakhshinejad
openaire   +3 more sources

Reconstitution of CXCR3+ CCR6+ Th17.1‐Like T Cells in Response to Ofatumumab Therapy in Patients With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Ofatumumab, a fully human anti‐CD20 monoclonal antibody, is effective in reducing relapses and disability progression in patients with multiple sclerosis. This study aimed to examine immune profile changes associated with ofatumumab in a prospective cohort of Chinese patients with relapsing–remitting multiple ...
Shu Yang, Tian‐Xiang Zhang, Jia Liu, Zhirui Liu, Lijie Zhu, Yan‐Yan Li, Bin Feng, Moli Fan, Fu‐Dong Shi, Chao Zhang   +9 more
wiley   +1 more source

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples [PDF]

arXiv, 2021
Convolutional Neural Networks (CNNs) for visual tasks are believed to learn both the low-level textures and high-level object attributes, throughout the network depth. This paper further investigates the `texture bias' in CNNs. To this end, we regenerate multiple instances of training examples from each original image, through a process we call ...
arxiv  

PORCN Negatively Regulates AMPAR Function Independently of Subunit Composition and the Amino-Terminal and Carboxy-Terminal Domains of AMPARs

Frontiers in Cell and Developmental Biology, 2020
Most fast excitatory synaptic transmissions in the mammalian brain are mediated by α-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors (AMPARs), which are ligand-gated cation channels.
Mengping Wei, Mengping Wei, Meng Wang, Jue Wang, Feng Su, Feng Su, Yangzhen Wang, Yangzhen Wang, Meng Sun, Shanshan Wang, Shanshan Wang, Mengna Liu, Mengna Liu, Hongyi Wang, Mingyang Lu, Wei Li, Yutian Gong, Lei Yang, Chen Zhang, Chen Zhang   +19 more
doaj   +1 more source

Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat

Applied Sciences, 2020
Optimizing in vitro shoot regeneration conditions in wheat is one of the important steps in successful micropropagation and gene transformation. Various factors such as genotypes, explants, and phytohormones affect in vitro regeneration of wheat ...
M. Hesami, J. A. Condori-Apfata, María R. Valderrama Valencia, M. Mohammadi   +3 more
semanticscholar   +1 more source

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

Advanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim, Kanghoon Choi, Amy Lin, Jungkyu Kim   +3 more
wiley   +1 more source

Logarithmic Continual Learning [PDF]

arXiv, 2022
We introduce a neural network architecture that logarithmically reduces the number of self-rehearsal steps in the generative rehearsal of continually learned models. In continual learning (CL), training samples come in subsequent tasks, and the trained model can access only a single task at a time.
arxiv  

Patterned and Functionalized Nanofiber Scaffolds in Three-Dimensional Hydrogel Constructs Enhance Neurite Outgrowth and Directional Control [PDF]

J Neural Eng. 2014 Dec;11(6):066009, 2015
Neural tissue engineering holds incredible potential to restore functional capabilities to damaged neural tissue. It was hypothesized that patterned and functionalized nanofiber scaffolds could control neurite direction and enhance neurite outgrowth. Aligned nanofibers were created according to a mathematical model and were shown to enable significant ...
arxiv   +1 more source

Chromatin accessibility dynamics and single cell RNA-Seq reveal new regulators of regeneration in neural progenitors

eLife, 2020
Vertebrate appendage regeneration requires precisely coordinated remodeling of the transcriptional landscape to enable the growth and differentiation of new tissue, a process executed over multiple days and across dozens of cell types.
A. Kakebeen, A. Chitsazan, Madison C. Williams, Lauren M. Saunders, A. Wills   +4 more
semanticscholar   +1 more source