Vietnam_612
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB36631 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR3888540_1.fastq.gz | Fastqsanger.gz | |||
| ERR3888540_2.fastq.gz | Fastqsanger.gz | |||
| ERR3888550_1.fastq.gz | Fastqsanger.gz | |||
| ERR3888550_2.fastq.gz | Fastqsanger.gz | |||
| ERR3888560_1.fastq.gz | Fastqsanger.gz |
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Project description:Crown roots differentiate from stem base in rice. In this study, we followed gene expression in stem base of two Vietnamese indica rice varieties that belong to two haplotypes defining a QTL associated with crown root number. We used microarrays to look for the gene differentially expressed in stem base of two varieties.
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Project description:Background: Most skin-related traits have been studied in Caucasian genetic backgrounds. A comprehensive study on skin-associated genetic effects on underrepresented populations such as Vietnam is needed to fill the gaps in the field. Objectives: We aimed to develop a computational pipeline to predict the effect of genetic factors on skin traits using public data (GWAS catalogs and whole-genome sequencing (WGS) data from the 1000 Genomes Project-1KGP) and in-house Vietnamese data (WGS and genotyping by SNP array). Also, we compared the genetic predispositions of 25 skin-related traits of Vietnamese population to others to acquire population-specific insights regarding skin health. Results: The skin-related genetic profile of Vietnamese cohorts was similar at most to East Asian cohorts (JPT: Fst=0.036, CHB: Fst=0.031, CHS: Fst=0.027, CDX: Fst=0.025) in the population study. In addition, we identified pairs of skin traits at high risk of frequent co-occurrence (such as skin aging and wrinkles (r = 0.45, p =1.50e-5) or collagen degradation and moisturizing (r = 0.35, p = 1.1e-3)).
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Project description:Campare the difference between pairwise NOF and coCAF tissues for three patients patient #603: NOF #603 vs coCAF #603 patient #609: NOF #609 vs coCAF #609 patient #612: NOF #612 vs coCAF #612
2012-01-27 | E-GEOD-35250 | biostudies-arrayexpress
Project description:Nucleosome positioning dictates the DNA accessibility for regulatory proteins, and thus is critical for gene expression and regulation. It has been well documented that only a subset of nucleosomes are reproducibly positioned (phased) in eukaryotic genomes. The most prominent example of phased nucleosomes is the context of genes, where phased nucleosomes flank the transcriptional starts sites (TSSs). It is unclear, however, what factors influence nucleosome phasing in regions that are not close to genes. We performed a combinational mapping of nucleosome positioning and DNase I hypersensitive sites (DHSs) across the rice genome. We discovered that DHSs located in a variety of contexts, both genic and intergenic, were flanked by strongly phased nucleosome arrays. Our results support the barrier model for nucleosome organization as a general feature of eukaryote genomes, including plant genomes, and not limited to TSSs. Specifically, regions bound with regulatory proteins, including intergenic regions, can serve as barriers that organize phased nucleosome arrays on both sides. Our results also suggest that rice DHSs often span a single, phased nucleosome, similar to the H2A.Z-containing nucleosomes observed in DHSs in the human genome. We propose that genome-wide nucleosome positioning in the eukaryotic genomes is orchestrated by genomic regions associated with regulatory proteins. Rice chromatin was digested by micrococcal nuclease (MNase) into mono-nucleosome size. Mono-nucleosomal DNA was isolated and sequenced (MNase-seq) using Illumina sequencing platforms. We obtained a total of 38 million (M) single-end reads from our first MNase-seq experiment and mapped ~26 M to unique positions in the rice genome. We also conducted pair-end sequencing of an independent MNase-seq library, obtained 274 M paired-end reads, and mapped ~231 M read pairs to unique positions in the rice genome.We applied a strategy of combinational mapping of nucleosome positioning and DHSs (GSE26610) to examine whether nucleosome positioning is associated with all cis-regulatory elements in the rice genome. All datasets used in the analysis were developed using rice leaf tissue in the same developmental stage
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Project description:Complete High Coverage Genomes of a Kinh Vietnamese trio (KHV)
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Project description:Approximately 73% of rice genomes were annotated with different epigenomic properties. Refinement of promoter regions using open chromatin and H3K4me3-marked regions provided insight into transcriptional regulation. Active and repressed histone modifications and the predicted enhancers varied largely across tissues, whereas inactive chromatin states were relatively stable. Further, we investigated the impact of genetic variants on epigenomic signals and gene expression. Together, these datasets constitute a resource for functional element annotation in rice and indicate the central role of epigenomic information in understanding transcriptional regulation.
2020-04-25 | GSE142569 | GEO
Project description:Approximately 73% of rice genomes were annotated with different epigenomic properties. Refinement of promoter regions using open chromatin and H3K4me3-marked regions provided insight into transcriptional regulation. Active and repressed histone modifications and the predicted enhancers varied largely across tissues, whereas inactive chromatin states were relatively stable. Further, we investigated the impact of genetic variants on epigenomic signals and gene expression. Together, these datasets constitute a resource for functional element annotation in rice and indicate the central role of epigenomic information in understanding transcriptional regulation.
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Project description:Approximately 73% of rice genomes were annotated with different epigenomic properties. Refinement of promoter regions using open chromatin and H3K4me3-marked regions provided insight into transcriptional regulation. Active and repressed histone modifications and the predicted enhancers varied largely across tissues, whereas inactive chromatin states were relatively stable. Further, we investigated the impact of genetic variants on epigenomic signals and gene expression. Together, these datasets constitute a resource for functional element annotation in rice and indicate the central role of epigenomic information in understanding transcriptional regulation.
2020-04-25 | GSE142501 | GEO
Project description:Nucleosome positioning dictates the DNA accessibility for regulatory proteins, and thus is critical for gene expression and regulation. It has been well documented that only a subset of nucleosomes are reproducibly positioned (phased) in eukaryotic genomes. The most prominent example of phased nucleosomes is the context of genes, where phased nucleosomes flank the transcriptional starts sites (TSSs). It is unclear, however, what factors influence nucleosome phasing in regions that are not close to genes. We performed a combinational mapping of nucleosome positioning and DNase I hypersensitive sites (DHSs) across the rice genome. We discovered that DHSs located in a variety of contexts, both genic and intergenic, were flanked by strongly phased nucleosome arrays. Our results support the barrier model for nucleosome organization as a general feature of eukaryote genomes, including plant genomes, and not limited to TSSs. Specifically, regions bound with regulatory proteins, including intergenic regions, can serve as barriers that organize phased nucleosome arrays on both sides. Our results also suggest that rice DHSs often span a single, phased nucleosome, similar to the H2A.Z-containing nucleosomes observed in DHSs in the human genome. We propose that genome-wide nucleosome positioning in the eukaryotic genomes is orchestrated by genomic regions associated with regulatory proteins.
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Project description:Copy number variations (CNVs) can create new genes, change gene dosage, reshape gene structures, and modify elements regulating gene expression. As with all types of genetic variation, CNVs may influence phenotypic variation and gene expression. CNVs are thus considered major sources of genetic variation. Little is known, however, about their contribution to genetic variation in rice. To detect CNVs, we used a set of NimbleGen whole-genome comparative genomic hybridization arrays containing 715,851 oligonucleotide probes with a median probe spacing of 500 bp. We compiled a high-resolution map of CNVs in the rice genome, showing 641 CNVs between the genomes of the rice cultivars ‘Nipponbare’ (from O. sativa ssp. japonica) and ‘Guang-lu-ai 4’ (from O. sativa ssp. indica). These CNVs contain some known genes. They are linked to variation among rice varieties, and are likely to contribute to subspecific characteristics.
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