Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine

ABSTRACT: Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific and -enriched proteins that are linked to the functional specificity of individual tissues. Proteogenomic comparison of rice and Arabidopsis reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of N6-methyladenosine (m6A) across the rice major tissues shows that m6A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance between RNA and protein levels. We also demonstrate that our data are valuable for identifying novel genes required for regulating m6A methylation. Taken together, this study provides a paradigm for further research into rice proteogenome.

ORGANISM(S): Oryza sativa

PROVIDER: GSE229334 | GEO | 2024/06/16

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine

Project description:Rice is one of the most important staple food and model species in plant biology, yet the quantitative proteomes of rice are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across rice major tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific or tissue-enriched proteins related to functional specificity of individual tissues. Proteogenomic comparison between rice and Arabidopsis reveals conserved proteome expression, which is different from mammals that strong separation of species rather than tissues. Notably, profiling of N6-methyladenosine (m6A) across the rice major tissues shows that m6A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance of RNA and protein levels. We also demonstrate that our data are valuable to identify novel genes required for regulating m6A methylation. Taken together, this study provides a paradigm for in-depth proteogenomic studies of rice.

2024-05-01 | PXD041188 | Pride

rice whole transcriptome surveyed by RNA-Seq and Paired-end technology

Project description:Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It’s intriguing that we identified 1,356 putative gene fusion events, indicating the 234 fusion gene produced by trans-splicing vastly increases the complexity of rice transcriptome, together with the pervasive alternative splicing events. Digital gene expression profiling revealed most rice duplicate genes were maintained by the selection constraint on gene dosages, which would increase the genetic robustness of rice to counteract deleterious mutations Keywords: Expression profiling by high throughput sequencing mRNA expression of 8 independent rice tissues was determined by method of RNA-Seq using short reads from high throughput sequencing technology. Meanwhile small RNA populations from mixture solution pooled from total RNA of each 8 tissues were also sequenced.

2010-03-01 | E-GEOD-16631 | biostudies-arrayexpress

rice whole transcriptome surveyed by high throughput sequencing technology

2010-03-01 | GSE16507 | GEO

rice whole transcriptome surveyed by RNA-Seq and Paired-end technology

2010-03-01 | GSE16631 | GEO

Widespread Occurrence of m6A in bacterial mRNA

Project description:N6-methyladenosine (m6A) is one of the most abundant modifications in eukaryotic RNA. Recent mapping of m6A methylomes in mammals, yeast, and plants as well as characterization of m6A methyltransferases, demethylases, and binding proteins have revealed regulatory functions of this dynamic RNA modification. In bacteria, although m6A is present in ribosomal RNA (rRNA), its occurrence in messenger RNA (mRNA) still remains elusive. Here, we used liquid chromatography-mass spectrometry (LC-MS) to calculate the m6A/A ratio in mRNA from a wide range of bacterial species, which demonstrates that m6A is an abundant mRNA modification in tested bacteria. Subsequent transcriptome-wide m6A profiling in Escherichia coli and Pseudomonas aeruginosa revealed a conserved distinct m6A pattern that is significantly different from that in eukaryotes. Most m6A peaks are located inside open reading frames (ORF), and carry a unique consensus motif (GCCAU). Functional enrichment analysis of bacterial m6A peaks indicates that the majority of m6A-modified transcripts are associated with respiration, amino acids metabolism, stress response, and small RNAs genes, suggesting potential regulatory roles of m6A in these pathways. m6A profiling in E.coli and P.aeruginosa mRNA

2015-07-08 | E-GEOD-65347 | biostudies-arrayexpress

Systemic suppression of the rice shoot metabolism upon root rot nematode infection

Project description:Rice (Oryza sativa L.) is one of the most important staple foods in the world, feeding more than 50% of the human population. One of its most damaging pathogens, with major impact on rice yield, is the migratory root rot nematode Hirschmanniella oryzae. In comparison with the existing knowledge on the infection process of dicots by sedentary nematodes, far less is known about the interaction between monocot plants and nematodes or plant interactions with migratory nematode species. Therefore, to gain deeper insight into the systemic transcriptional changes in rice after migratory root rot nematode infection we have performed mRNA-Seq on the shoots of root rot nematode infected rice plants. The observations were independently validated using qRT-PCR and biochemical analyses. This research reveals significant modifications in the metabolism of the plant, with a general suppression of chlorophyll biosynthesis, and primary metabolic processes involved in plant growth . Differential expression analysis between controls rice shoots and shoots from root rot nematode (H. oryzae) infected rice at two time points.

2015-05-18 | E-GEOD-57707 | biostudies-arrayexpress

Cyanobacterial identification by native mass spectrometry

Project description:Cyanobacterial identification by native mass spectrometry

| PRJEB45336 | ENA

Systemic suppression of the rice shoot metabolism upon root rot nematode infection

2015-05-18 | GSE57707 | GEO

Refined RIP-seq protocol for epitranscriptome analysis with low input materials

Project description:We optimized the key parameters of m6A MeRIP-seq, including the starting amount of RNA, RNA fragmentation, antibody selection, MeRIP washing/elution conditions, methods for RNA library construction and the bioinformatics analysis pipeline. With the optimized immunoprecipitation conditions and a post-amplification rRNA depletion strategy, we were able to profile the m6A epitranscriptome using 2 µg of total RNA. We identified ~12,000 m6A peaks with a high signal/noise ratio from two lung adenocarcinoma (ADC) patient tumors. Through integrative analysis of the transcriptome, m6A epitranscriptome and proteome data in the same patient tumors, we identified dynamics at the m6A level that accounts for the discordance between mRNA and protein levels in these tumors.

2018-09-06 | GSE116002 | GEO

N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis

Project description:RNA modifications are integral to regulation of RNA metabolism. One such abundant mRNA modification is m6A, which impacts various aspects of RNA metabolism including splicing, transport and degradation. Current knowledge about proteins recruited to m6A to carry out these molecular processes is still limited. Here we describe a comprehensive and systematic mass spectrometry-based screening of m6A interactors in various cell types and species. Amongst the main findings, we identified G3BP1 as a protein, which is repelled by m6A and which positively regulates mRNA stability in an m6A regulated manner. Furthermore, we identified FMR1 as a novel, RNA sequence context dependent m6A reader, thus revealing a connection between an mRNA modification and an autism spectrum disorder. Collectively, our data represents a rich resource for the community and sheds further light on the complex interplay between m6A, m6A interactors and mRNA homeostasis.

2017-08-21 | GSE98856 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data