Oryza sativa
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PROVIDER: PRJNA100133 | ENA |
REPOSITORIES: ENA
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Project description:Here, we present OryzaPG-DB, a rice proteome database based on shotgun proteogenomics, which incorporates the genomic features of experimental shotgun proteomics data. This version of the database was created from the results of 27 nanoLC-MS/MS runs on a hybrid ion trap-orbitrap mass spectrometer, which offers high accuracy for analyzing tryptic digests from undifferentiated cultured rice cells. Peptides were identified by searching the product ion spectra against the protein, cDNA, transcript and genome databases from Michigan State University, and were mapped to the rice genome. Approximately 3200 genes were covered by these peptides and 40 of them contained novel genomic features. Users can search, download or navigate the database per chromosome, gene, protein, cDNA or transcript and download the updated annotations in standard GFF3 format, with visualization in PNG format. In addition, the database scheme of OryzaPG was designed to be generic and can be reused to host similar proteogenomic information for other species. OryzaPG is the first proteogenomics-based database of the rice proteome, providing peptide-based expression profiles, together with the corresponding genomic origin, including the annotation of novelty for each peptide.
2016-07-20 | PXD004603 | JPOST Repository
Project description:Rice is one of the most important global food crops, and is also a model organism for cereal research 31 . Complete genome sequencing of rice, together with advances in transcriptomics and proteomics, has had a dramatic impact on plant growth and 5 breeding programs 32 . Genomic analysis of DNA methylation in rice has revealed methylation patterns associated with gene bodies and promoters, and the occurrence of high levels of DNA methylation in the centromeric domain 33 . A genome-wide investigation of acetylation in rice revealed that H3K9ac and H3K27ac are mainly enriched at transcription start sites associated with active transcription 34 . Furthermore, global proteome analysis has shown that phosphorylation and succinylation are involved in diverse cellular and metabolic processes 35, 36 . However, despite these considerable advances in our knowledge, additional large-scale analysis of the lysine acetylome in rice is expected to identify many more Kac sites and acetylated proteins in this improtant crop plant. In this study, affinity enrichment and high-resolution LC-MS/MS were used for large-scale analysis of the lysine acetylome in rice variety Nipponbare. In total, 1353 lysine acetylation sites were detected in 866 protein groups in rice seedlings. Proteomic analysis showed that Kac occurs in proteins involved in diverse biological processes with varied cellular functions and subcellular localization.
2017-11-13 | PXD004870 | Pride
Project description:Genome-wide Gene Expression Profiling of Salinity Responsiveness in Rice
| PRJNA253003 | ENA
Project description:In angiosperms, stigma provides initial nutrients and guidance cues for pollen grain germination and tube growth. However, little is known about genes that regulate these processes in rice. Here we generate rice stigma-specific gene expression profiles through comparing genome-wide expression patterns of hand dissected unpollinated stigma at anthesis with seven tissues including seedling shoot, seedling root, mature anther, ovary at anthesis, seeds of five days after pollination, 10-day-old embryo, 10-day-old endosperm as well as suspension cultured cells by using 57K Affymetrix rice whole genome array. In total, we identified 665 probe sets (550 genes) to be expressed specifically or predominantly in the stigma papillar cells of rice. Real-Time quantitative RT-PCR analysis of 34 selected genes confirmed their stigma-specific expression. The expression of five selected genes was further validated by RNA in situ hybridization. Gene annotation shows that several auxin-signaling components, transporters and stress-related genes are significantly overrepresented in the rice stigma gene set. We also found that genes involved in cell wall metabolism and cellular communication appear to be conserved in the stigma between rice and Arabidopsis. Our results indicate that the stigmas appear to have conserved and novel molecular functions between rice and Arabidopsis. Keywords: rice (Oryza sativa L.), pollination and fertilization, stigma, molecular functions, signaling£¬microarray, stress response
2007-06-30 | GSE7951 | GEO
Project description:Transcriptional profiling of MIT knockdown plants. MIT is a mitochondrial Fe transporter essential for rice growth and development. The goal was to determine the effects of MIT on global rice gene expression.
2011-04-07 | GSE28428 | GEO
Project description:In angiosperms, stigma provides initial nutrients and guidance cues for pollen grain germination and tube growth. However, little is known about genes that regulate these processes in rice. Here we generate rice stigma-specific gene expression profiles through comparing genome-wide expression patterns of hand dissected unpollinated stigma at anthesis with seven tissues including seedling shoot, seedling root, mature anther, ovary at anthesis, seeds of five days after pollination, 10-day-old embryo, 10-day-old endosperm as well as suspension cultured cells by using 57K Affymetrix rice whole genome array. In total, we identified 665 probe sets (550 genes) to be expressed specifically or predominantly in the stigma papillar cells of rice. Real-Time quantitative RT-PCR analysis of 34 selected genes confirmed their stigma-specific expression. The expression of five selected genes was further validated by RNA in situ hybridization. Gene annotation shows that several auxin-signaling components, transporters and stress-related genes are significantly overrepresented in the rice stigma gene set. We also found that genes involved in cell wall metabolism and cellular communication appear to be conserved in the stigma between rice and Arabidopsis. Our results indicate that the stigmas appear to have conserved and novel molecular functions between rice and Arabidopsis. Experiment Overall Design: We generate rice stigma-specific gene expression profiles through comparing genome-wide expression patterns of hand dissected unpollinated stigma at anthesis with seven tissues including seedling shoot, seedling root, mature anther, ovary at anthesis, seeds of five days after pollination, 10-day-old embryo, 10-day-old endosperm as well as suspension cultured cells by using 57K Affymetrix rice whole genome array.
2008-11-08 | E-GEOD-7951 | biostudies-arrayexpress
Project description:LongSAGE library in this series are from 'Whole Genome Analysis of Pathogen-Host Recognition and Subsequent Responses in the Rice Blast Patho-System' project. This work is supported by NSF-PGRP #0115642. Keywords: other
2004-11-08 | GSE1924 | GEO
Project description:To reveal the underlying molecular mechanism of jasmonate inhibits gibberellins signaling in rice, we performed transcriptional profiling of wild type nipponbare and mutant coi1-13 plants on a global scale using the Affymetrix GeneChip Rice Genome Array
2011-12-01 | GSE29577 | GEO
Project description:This experiment was designed to identify transcribed regions of japonica subspecies of the rice genome. A series of high-density oligonucleotide tiling arrays that represent sense and antisense strands of the entire nonrepetitive sequence of all the 12 chromosomes were designed to measure genome-wide transcription. A total of 12253842 36mer oligonucleotide probes positioned every 46 nt on average were used for this purpose. The probes were synthesized via maskless photolithography at a feature density of approximately 389,000 probes per slide. The arrays were hybridized with fluorescence-labeled cDNA reverse-transcribed from equal amounts of four selected poly(A)+ RNA population (seedling root, seedling shoot, panicle, and suspension cultured cells). Keywords: tiling array, genome-wide transcription
2007-02-21 | GSE6996 | GEO
Project description:The R-loop is a common chromatin feature presented from prokaryotic to eukaryotic genomes and has been revealed to be involved in multiple cellular processes and associated with many human diseases. Here, we take the advantage of our recently developed ssDRIP-seq method to profile genome-wide R-loop levels and provided a first-hand R-loop atlas of Rice (Oryza sativa) at different developmental stages.
2022-12-10 | GSE120922 | GEO