Ontology highlight
ABSTRACT:
PROVIDER: PRJNA807488 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR19845258_1.fastq.gz | Fastqsanger.gz | |||
| SRR19845258_2.fastq.gz | Fastqsanger.gz | |||
| SRR19845259_1.fastq.gz | Fastqsanger.gz | |||
| SRR19845259_2.fastq.gz | Fastqsanger.gz |
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Project description:During embryonic development, cellular identity relies upon the complex interplay between signaling systems, transcription factors, and cis-regulatory elements. This is epitomized in the neural crest, whose formation is governed by a comprehensive gene regulatory network (GRN) jumpstarted by several signaling systems including Wnt, BMP, and FGF. Although there is substantial knowledge regarding the nuclear effectors and downstream target genes of Wnt and BMP signaling in neural crest formation; the effectors of FGF signaling remain unclear. Recent work from our group has demonstrated a decisive role for the FGF/MAPK/AP-1 axis in modulating the human neural crest epigenome. Nevertheless, whether this regulation remains conserved across vertebrate species remains unknown. To address this, we examined the activity and requirement of the AP-1 transcription factor complex in avian neural crest cell formation. Functional characterization of AP-1 demonstrated it is a major regulator of avian neural crest identity, directly regulating the expression of several GRN components. Furthermore, we demonstrate that AP-1 serves as a nuclear effector of FGF signaling in avian neural crest cells, consistent with our previous results observed in human neural crest. Together, these results demonstrate the conserved activity of AP-1 required for neural crest specification and can facilitate its incorporation into the GRN.
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Avian influenza is a zoonotic disease caused by the transmission of the avian influenza A virus, such as H5N1 and H7N9, from birds to humans. The avian influenza A H5N1 virus has caused more than 500 human infections worldwide with nearly a 60% death rate since it was first reported in Hong Kong in 1997. The four outbreaks of the avian influenza A H7N9 in China from March 2013 to June 2016 have resulted in 580 human cases including 202 deaths with a death rate of nearly 35%. In this paper, we construct two avian influenza bird-to-human transmission models with different growth laws of the avian population, one with logistic growth and the other with Allee effect, and analyze their dynamical behavior. We obtain a threshold value for the prevalence of avian influenza and investigate the local or global asymptotical stability of each equilibrium of these systems by using linear analysis technique or combining Liapunov function method and LaSalle's invariance principle, respectively. Moreover, we give necessary and sufficient conditions for the occurrence of periodic solutions in the avian influenza system with Allee effect of the avian population. Numerical simulations are also presented to illustrate the theoretical results.
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