Proteomics-AQ-WLL-LSHLFQ-SD-data
Ontology highlight
ABSTRACT:
ORGANISM(S): Oryza Sativa
SUBMITTER: 
Wenjing Zheng
PROVIDER: PXD071994 | iProX | Sat Dec 13 00:00:00 GMT 2025
REPOSITORIES: iProX
Similar Datasets
Project description:Magnaporthe oryzae is the causative agent of the rice blast, the most relevant rice disease worldwide. To date expression analysis on rice infected with Magnaporthe oryzae have been carried out only with the strains FR13 (leaf) and Guy 11 (root). However different strains of Magnaporthe are present in the environment leading to different rice responses at molecular level. To gain more insight on the unknown molecular mechanisms activated by different Magnaporthe strains during rice defense, a global expression analysis was performed by using the GeneChip® Rice Genome Array. To identify rice genes differentially regulated upon infection by Magnaporthe isolates, inoculation with different strains were performed and samples were collected 24 hours post infection.
2012-03-27 | GSE30941 | GEO
Project description:Magnaporthe oryzae is the causative agent of the rice blast, the most relevant rice disease worldwide. To date expression analysis on rice infected with Magnaporthe oryzae have been carried out only with the strains FR13 (leaf) and Guy 11 (root). However different strains of Magnaporthe are present in the environment leading to different rice responses at molecular level. To gain more insight on the unknown molecular mechanisms activated by different Magnaporthe strains during rice defense, a global expression analysis was performed by using the GeneChip® Rice Genome Array. To identify rice genes differentially regulated upon infection by Magnaporthe isolates, inoculation with different strains were performed and samples were collected 24 hours post infection. RNA were obtained from leaf samples after inoculation of rice 2 week-old plantlets with the following strains: rice isolates Magnaporthe oryzae FR13 and CL367, non-adapted strain BR32, isolated from wheat, and Magnaporthe grisea BR29 isolated from crabgrass. Treated and control (mock) rice leaves (cv. Nipponbare) were collected 24 hours post inoculation. Three biological replicates for each interaction type and the corresponding mock were extracted and analysed independently with the GeneChip® Rice Genome Array.
2012-03-26 | E-GEOD-30941 | biostudies-arrayexpress
Project description:We provide genome sequences of altogether 9 F. fujikuroi and one F. oxysporum (outgroup) strains, all isolated from rice plants in different geographical regions of the world, and searched for differences in genome structure, chromosome size, secondary metabolite production, virulence on rice, and in vitro and in planta transcriptome profiles. Despite their high relatedness on genome level, they differ significantly in their ability to infect rice, to form asexual spores (micro-and macroconidia), and to produce secondary metabolites. To gain insight into these differences, we compared the transcriptome of the ten strains in infected rice roots with that of liquid culture at low and high nitrogen (6 mM and 60 mM Gln) in vitro conditions by a RNA sequencing approach.
2017-09-28 | GSE89480 | GEO
Project description:Abstract We have re-analysed publicly available mass spectrometry (MS) data sets enriched for phosphopeptides from Asian rice (Oryza sativa). In total we have identified, 15522 phosphosites on Serine, Threonine and Tyrosine residues on rice proteins. The data has been loaded into UniProtKB, enabling researchers to visualise the sites alongside other stored data on rice proteins, including structural models from AlphaFold2, and into PeptideAtlas, enabling visualisation of the source evidence for each site, including scores and source mass spectra. We identified sequence motifs for phosphosites, and link motifs to enrichment of different biological processes, indicating different downstream regulation caused by different kinase groups. We cross-referenced phosphosites against single amino acid variation (SAAV) data sourced from the rice 3000 genomes data, to identify SAAVs within or proximal to phosphosites that could cause loss of a particular site in a given rice variety. The data was further clustered to identify groups of sites with similar patterns across rice family groups, allowing us to identify sites highly conserved in Japonica, but mostly absent in, for example, Aus type rice varieties - known to have different responses to drought. These resources can assist rice researchers to discover alleles with significantly different functional effects across rice varieties.
2023-11-08 | PXD046188 | Pride
Project description:Information about protein expression in rice grain across both pigmented and non-pigmented rice varieties is still relatively scarce. The data provided here represent proteomic data obtained from selected 6 Malaysian local rice varieties with varying pigmentations (black, red and white). The selected pigmented rice varieties such as black (BALI and Pulut hitam 9) and red rice (MRQ100 and MRM16) have shown high antioxidant activities and non-pigmented rice (MRQ76 and MR297) contain amino acid and micronutrient contents. This project aimed to obtain global protein expression profile as well as differential protein expression between the selected pigmented and non-pigmented rice varieties particularly proteins with their functions responsible for nutritional (i.e. antioxidant, folate and low glycaemic index) and quality (i.e. aromatic) traits. Integration of this proteomics dataset with other available in-house omics data could facilitate the identification of significant functional markers related to nutritional and quality traits. Total proteins were prepared from dehusked matured seeds harvested from three different rice plants of each variety (3 protein samples per variety). The proteins were trypsin digested before subjected to SWATH-MS proteomics analysis. Proteins were identified by matching tandem mass (MS/MS) spectra from both 1D and 2D IDA to Oryza sativa japonica and indica rice databases available at UniProt by using ProteinPilot software (v4.2) (AB Sciex). Quantification of proteins was carried out by determining protein peak areas extracted from SWATH analysis data sets using PeakView (v2.1) (AB Sciex) software. Differentially expressed protein between varieties were identified using T-test analysis with a set threshold for fold change ± 1.5 and p‐value < 0.05.
2020-04-27 | PXD018338 | Pride
Project description:Virus proliferation inside host cells relies on a diverse range of host machineries and is also restricted by the host through antiviral factors. The configuration of virus-dependency and antiviral factors determine the permissiveness of host cells to virus infection, however, overall differences between highly permissive and restrictive cellular states remain largely unexplored. Here we employed integrated omics analysis combining RNA-seq, proteomics, and phosphoproteomics to study determinants of virus permissiveness on a model system comprising multiple cellular states: highly permissive cells (HEK293T), steady-state cells (HEK293), and restrictive cells (interferon alpha (IFN-a) stimulated HEK293) due to their similar genetic background and distinct permissiveness. Our in-depth proteomics map across cellular states revealed pathway-level depletion of innate immune response and enrichment of anabolic processes in HEK293T cell. RNA-seq and proteomics results depicted dynamic regulations of IFN-α response across early/late timepoints, highlighting a group of robustly upregulated antiviral factors. In addition, phosphoproteomics uncovered extensive alterations of phosphorylation in IFN-a response. Integrated analysis of multi-level omics results identified putative regulators of infection, and we experimentally validated their roles in virus infection.
2024-05-20 | GSE267610 | GEO
Project description:In the project «Phosphoproteomics of yeast strains undergoing nitrogen or phosphate starvation» phosphoproteomics and expression proteomics were performed. In biological triplicates label-free quantification of different S. cerevisiae strains was performed. Five strains were used:(a) Ctrl WT, (b) WT, (c) deltaAtg13, (d) deltaPho81, (e) deltaAtg13, deltaPho81 (DKO)
2023-12-15 | PXD045932 | Pride
Project description:Small signalling peptides, generated from larger protein precursors, are important components to orchestrate various plant processes such as development and immune responses. However, small signalling peptides involved in plant immunity remain largely unknown. Here, we developed a pipeline using transcriptomics- and proteomics-based screening to identify putative precursors of small signalling peptides: small secreted proteins (SSPs) in rice, induced by rice blast fungus Magnaporthe oryzae and its elicitor, chitin. We identified 236 SSPs including members of two known small signalling peptide families, namely rapid alkalinization factors and phytosulfokines, as well as many other protein families that are known to be involved in immunity, such as proteinase inhibitors and pathogenesis-related protein families. We also isolated 52 unannotated SSPs and among them, we found one gene which we named immune response peptide (IRP) that appeared to encode the precursor of a small signalling peptide regulating rice immunity. In rice suspension cells, the expression of IRP was induced by bacterial peptidoglycan and fungal chitin. Overexpression of IRP enhanced the expression of a defence gene, PAL1 and induced the activation of the MAPKs in rice suspension cells. Moreover, the IRP protein level increased in suspension cell medium after chitin treatment. Collectively, we established a simple and efficient pipeline to discover SSP candidates that probably play important roles in rice immunity and identified 52 unannotated SSPs that may be useful for further elucidation of rice immunity. Our method can be applied to identify SSPs that are involved not only in immunity but also in other plant functions.
2024-01-08 | GSE252769 | GEO
Project description:Small signalling peptides, generated from larger protein precursors, are important components to orchestrate various plant processes such as development and immune responses. However, small signalling peptides involved in plant immunity remain largely unknown. Here, we developed a pipeline using transcriptomics- and proteomics-based screening to identify putative precursors of small signalling peptides: small secreted proteins (SSPs) in rice, induced by rice blast fungus Magnaporthe oryzae and its elicitor, chitin. We identified 236 SSPs including members of two known small signalling peptide families, namely rapid alkalinization factors and phytosulfokines, as well as many other protein families that are known to be involved in immunity, such as proteinase inhibitors and pathogenesis-related protein families. We also isolated 52 unannotated SSPs and among them, we found one gene which we named immune response peptide (IRP) that appeared to encode the precursor of a small signalling peptide regulating rice immunity. In rice suspension cells, the expression of IRP was induced by bacterial peptidoglycan and fungal chitin. Overexpression of IRP enhanced the expression of a defence gene, PAL1 and induced the activation of the MAPKs in rice suspension cells. Moreover, the IRP protein level increased in suspension cell medium after chitin treatment. Collectively, we established a simple and efficient pipeline to discover SSP candidates that probably play important roles in rice immunity and identified 52 unannotated SSPs that may be useful for further elucidation of rice immunity. Our method can be applied to identify SSPs that are involved not only in immunity but also in other plant functions.
2024-01-08 | GSE252767 | GEO