Ontology highlight
ABSTRACT:
PROVIDER: PRJNA857269 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR20068000_1.fastq.gz | Fastqsanger.gz | |||
| SRR20068000_2.fastq.gz | Fastqsanger.gz | |||
| SRR20068001_1.fastq.gz | Fastqsanger.gz | |||
| SRR20068001_2.fastq.gz | Fastqsanger.gz | |||
| SRR20068002_1.fastq.gz | Fastqsanger.gz |
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Project description:Avian beaks show extreme species-specific variability in morphology, though they develop from the same primordial structures. In both humans and birds, cranial neural crest cells are the primary source of mesenchyme for the frontonasal prominence; previous work has shown that these cells contain molecular information that regulate species-specific facial variation. To determine the molecular basis of avian craniofacial patterning, we have used Next-Generation sequencing to profile all 20-40nt microRNAs from micro-dissected cranial neural crest cells from the frontonasal prominence of three bird species (chickens, quails, and ducks). Samples for each species were isolated at two developmental stages, before (Hamilton Hamburger stage [HH] 20) and after (HH25) morphological distinctions between the species are evident. Examination of microRNA expression in frontonasal neural crest cells of 3 bird species at two developmental stages. Includes some biological replicates and one technical replicate.
2012-05-02 | E-GEOD-30716 | biostudies-arrayexpress
Project description:Avian beaks show extreme species-specific variability in morphology, though they develop from the same primordial structures. In both humans and birds, cranial neural crest cells are the primary source of mesenchyme for the frontonasal prominence; previous work has shown that these cells contain molecular information that regulate species-specific facial variation. To determine the molecular basis of avian craniofacial patterning, we have used Next-Generation sequencing to profile all 20-40nt microRNAs from micro-dissected cranial neural crest cells from the frontonasal prominence of three bird species (chickens, quails, and ducks). Samples for each species were isolated at two developmental stages, before (Hamilton Hamburger stage [HH] 20) and after (HH25) morphological distinctions between the species are evident.
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Project description:Sanhong Liu, Shigui Ruan & Xinan Zhang. Nonlinear dynamics of avian influenza epidemic models. Mathematical Biosciences 283 (2017).
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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Project description:Sanhong Liu, Shigui Ruan & Xinan Zhang. Nonlinear dynamics of avian influenza epidemic models. Mathematical Biosciences 283 (2017).
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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Project description:Avian beaks show extreme species-specific variability in morphology, though they develop from the same primordial structures. In both humans and birds, cranial neural crest cells are the primary source of mesenchyme for the frontonasal prominence; previous work has shown that these cells contain molecular information that regulate species-specific facial variation. To determine the molecular basis of avian craniofacial patterning, we have gene expression profiled micro-dissected cranial neural crest cells from the frontonasal prominence of three bird species (chickens, quails, and ducks) during embryonic development. These changes in gene expression were measured on a custom built, cross-species, long oligonucleotide microarray that interrogates the vast majority of transcription factor (TF) genes plus a wide variety of signaling pathways. Samples were isolated at two developmental stages, before (Hamburger Hamilton stage [HH] 20) and after (HH25) morphological distinctions between the species are evident. Keywords: developmental time point comparison
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Project description:Avian beaks show extreme species-specific variability in morphology, though they develop from the same primordial structures. In both humans and birds, cranial neural crest cells are the primary source of mesenchyme for the frontonasal prominence; previous work has shown that these cells contain molecular information that regulate species-specific facial variation. To determine the molecular basis of avian craniofacial patterning, we have gene expression profiled micro-dissected cranial neural crest cells from the frontonasal prominence of three bird species (chickens, quails, and ducks) during embryonic development. These changes in gene expression were measured on a custom built, cross-species, long oligonucleotide microarray that interrogates the vast majority of transcription factor (TF) genes plus a wide variety of signaling pathways. Samples were isolated at two developmental stages, before (Hamburger Hamilton stage [HH] 20) and after (HH25) morphological distinctions between the species are evident. Keywords: cross-species comparison
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