Ontology highlight
ABSTRACT:
PROVIDER: PRJNA596103 | ENA |
REPOSITORIES: ENA
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Project description:We aimed to reveal transitions of gene expression profile in developing female gametophytes of rice in this study. The developmental process of rice female gametophyte, from megaspore mother cell at pre-meiotic stage to mature embryo sac, was separated into six stages. Developing ovules at each stage were separated from surrounding sporophyte tissues and collected using LMD. RNA samples extracted from them were subjected to microarray analysis. Dynamic gene expression profiles during female gametogenesis were revealed. Comparison of transcriptome in developing female gametophytes with those of male gametophyes revealed both conserved and diverged features between male and female gametogenesis. A lot of characteristic genes, such as a subset of transposable elements, auxin responsive genes and transcription factor genes, which showed dynamic expression profiles during female gametogenesis, were identified in this study. We believe that our transcriptome data will serve as a backbone of further focused biological analysis to understand the molecular basis in female gametogenesis of plant. Gene expression profiles of developing ovules were analyzed according to stage progression. Three or four biological replicates were prepared for each stage, and a total of nineteen samples were analyzed.
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Project description:Simple Markov model.
There are 3 disease states: Healthy, Sick, and Dead, where the Dead state is terminal.
The yearly transition probabilities are:
Healthy to Dead: 0.01; Healthy to Sick: 0.2 for Male and 0.1 for Female; Sick to Healthy: 0.1; Sick to Dead: 0.3.
The transition probability now depends on the cohort (Male or Female) and can be expressed as a function of a Boolean covariate Male.
Initial conditions: Healthy = (50 Male, 50 Female), Sick = (0,0) and Dead = (0,0).
Output: Number of men and women in each disease state for years 1-10.
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