Results 11 to 20 of about 169,054 (174)

Exopolysaccharide of Enterococcus faecium L15 promotes the osteogenic differentiation of human dental pulp stem cells via p38 MAPK pathway

open access: yesStem Cell Research & Therapy, 2022
Background Bone has important functions in the body. Several researchers have reported that the polysaccharides and lipopolysaccharide derived from microbes can promote osteogenic differentiation of stem cells.
Hyewon Kim   +6 more
doaj   +1 more source

Multiplexed promoterless gene expression with CRISPReader

open access: yesGenome Biology, 2019
Background Genes are comprised of DNA codes and contain promoters and other control elements for reading these codes. The rapid development of clustered regularly interspaced short palindromic repeats (CRISPR) technology has made possible the ...
Hengji Zhan   +5 more
doaj   +1 more source

Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning [PDF]

open access: yesarXiv, 2022
In data-rich domains such as vision, language, and speech, deep learning prevails to deliver high-performance task-specific models and can even learn general task-agnostic representations for efficient finetuning to downstream tasks. However, deep learning in resource-limited domains still faces multiple challenges including (i) limited data, (ii ...
arxiv  

Isolation of female germline stem cells from porcine ovarian tissue and differentiation into oocyte-like cells

open access: yesThe Journal of Reproduction and Development, 2019
Historically, it had been widely accepted that the female mammalian ovary contained a limited number of oocytes that would reduce over time, without the possibility of replenishment. However, recent studies have suggested that female germline stem cells (
Huy-Hoang NGUYEN   +4 more
doaj   +1 more source

CLR: Channel-wise Lightweight Reprogramming for Continual Learning [PDF]

open access: yesarXiv, 2023
Continual learning aims to emulate the human ability to continually accumulate knowledge over sequential tasks. The main challenge is to maintain performance on previously learned tasks after learning new tasks, i.e., to avoid catastrophic forgetting.
arxiv  

Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming genes [PDF]

open access: yesLang AH, Li H, Collins JJ, Mehta P (2014) Epigenetic Landscapes Explain Partially Reprogrammed Cells and Identify Key Reprogramming Genes. PLoS Comput Biol 10(8): e1003734. doi:10.1371/journal.pcbi.1003734, 2012
A common metaphor for describing development is a rugged "epigenetic landscape" where cell fates are represented as attracting valleys resulting from a complex regulatory network. Here, we introduce a framework for explicitly constructing epigenetic landscapes that combines genomic data with techniques from spin-glass physics.
arxiv   +1 more source

Epigenetic impairments in development of parthenogenetic preimplantation mouse embryos

open access: yesThe Journal of Reproduction and Development, 2018
Parthenogenesis is an activation process of oocytes that occur without the participation of sperm. Evidence suggests that normal development of embryos requires proper expression of several imprinted genes inherited from both the paternal and maternal ...
Ngan Thi Kim HO   +3 more
doaj   +1 more source

Enhanced chromatin accessibility contributes to X chromosome dosage compensation in mammals

open access: yesGenome Biology, 2021
Background Precise gene dosage of the X chromosomes is critical for normal development and cellular function. In mice, XX female somatic cells show transcriptional X chromosome upregulation of their single active X chromosome, while the other X ...
Irene Talon   +13 more
doaj   +1 more source

Autophagosome Biogenesis

open access: yesCells, 2023
Autophagy–the lysosomal degradation of cytoplasm–plays a central role in cellular homeostasis and protects cells from potentially harmful agents that may accumulate in the cytoplasm, including pathogens, protein aggregates, and dysfunctional organelles ...
Yan Zhen, Harald Stenmark
doaj   +1 more source

Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference [PDF]

open access: yesarXiv, 2021
Adversarial reprogramming allows repurposing a machine-learning model to perform a different task. For example, a model trained to recognize animals can be reprogrammed to recognize digits by embedding an adversarial program in the digit images provided as input. Recent work has shown that adversarial reprogramming may not only be used to abuse machine-
arxiv  

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