Ontology highlight
ABSTRACT:
PROVIDER: PRJNA760975 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15826800_1.fastq.gz | Fastqsanger.gz | |||
| SRR15826800_2.fastq.gz | Fastqsanger.gz | |||
| SRR15826801_1.fastq.gz | Fastqsanger.gz | |||
| SRR15826801_2.fastq.gz | Fastqsanger.gz | |||
| SRR15826796_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
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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).
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Project description:Model with functions depending on Age, Male, BP (Blood Pressure).
There are 3 disease states: Healthy, Sick, and Dead, where the Dead state is terminal. The yearly transition probabilities are: Healthy to Dead: Age/1000; Healthy to Sick: According to function F1 depending on Age and Male and BP; Sick to Healthy: 0.1; Sick to Dead: according to function F2 depending on Age and Male.
Pre-Transition Rules: Age increased by 1 and BP by Age/10 each simulation cycle. Post-Transition Rules: Treatment = BP>140 , becomes 1 when BP crosses 140 threshold; BP =BP-Treatment*10 , meaning a drop of 10 once treatment is applied; CostThisYear = Age + \Treatment*10 , cost depends on age and if treatment was taken; Cost= Cost + CostThisYear , it accumulates cost over time.
Initial conditions: Healthy = (50 Male, 50 Female with Age =1,2,...,50 for each individual), BP =120, Sick = (0,0) and Dead = (0,0).
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Project description:Male and female gametocytes are sexual precursor cells essential for transmission of malaria parasite in the mosquitoes. Differentiation of gametocytes to fertile gametes (gametogenesis) relies on the gender-specific transcriptome. However, how the parasites establish distinct repertoire of gene transcription in the male and female gametocytes remains largely unknown. Here, we report that an Apetala2 (AP2) family transcription factor (TF) AP2-O3 operates as a transcription repressor regulating female gametocyte transcriptome. AP2-O3 is specifically localized in the nucleus of the female gametocytes. AP2-O3-deficient parasites produce apparently normal female gametocytes, which fail to differentiate to fully fertile female gametes, leading to developmental arrest in fertilization and early development post-fertilization. AP2-O3 disruption causes massive up-regulation of transcriptionally dormant male genes and simultaneously down-regulation of highly transcribed female genes in female gametocytes. ChIP-seq and EMSA analysis establish AP2-O3 as a transcription repressor that targets a significant proportion of the upregulated male genes by recognizing an eight-base DNA motif in the promoters. In addition, the maternal AP2-O3 is removed after fertilization, which is required for the zygote to ookinete development. These results demonstrate that global transcriptional repression of male genes in the female gametocytes is required for safeguarding female-specific transcriptome and essential for the mosquito transmission of Plasmodium.
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