Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Oryza sativa strain:weedy rice

ABSTRACT: Oryza sativa strain:weedy rice Raw sequence reads

PROVIDER: PRJNA344937 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5513380_1.fastq.gz	Fastqsanger.gz
	SRR5513380_2.fastq.gz	Fastqsanger.gz
	SRR5513390_1.fastq.gz	Fastqsanger.gz
	SRR5513390_2.fastq.gz	Fastqsanger.gz
	SRR5513400_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 72

Similar Datasets

Label Free MS quantitation of rice Oryza sativa (control vs drought)

Project description:Label Free MS quantitation of rice Oryza sativa (control vs drought)

2024-10-17 | PXD036637 | Pride

Screening Salinity Tolerance and Transcriptome Analysis in Rice (Oryza sativa L.)

Project description:Comparative transcriptome sequencing in leaf and root tissues of Control and Salt-treated Oryza sativa generated 52.2 and 17.29 million high-quality reads.

2019-06-05 | GSE132153 | GEO

Rice (Oryza sativa) lysine-acetylation LC-MS/MS

Project description:Lysine acetylation is a dynamic and reversible post-translational modification that plays an imporant role in the gene transcription regulation. Here, we report high quality proteome-scale data for lysine-acetylation sites and proteins in rice (Oryza sativa). A total of 1337 Kac sites in 716 Kac proteins with diverse biological functions and subcellular localizations were identified in rice seedlings.

2016-02-24 | PXD002291 | Pride

R-loop landscapes in Rice (Oryza sativa) [DRIP-seq]

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

Degradome sequencing reveals endogenous small RNA targets in rice (Oryza sativa L. ssp. indica)

Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5M-bM-^@M-^Y rapid amplification of cDNA ends (RLM 5M-bM-^@M-^Y-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice. The degradome sequence of Young inflorescences from Oryza sativa L. ssp. indica (93-11) was sequenced

2010-01-01 | E-GEOD-19050 | biostudies-arrayexpress

Oryza sativa cultivar:rice

Project description:Oryza sativa cultivar:rice Raw sequence reads

| PRJNA439157 | ENA

Degradome sequencing reveals endogenous small RNA targets in rice (Oryza sativa L. ssp. indica)

Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5’ rapid amplification of cDNA ends (RLM 5’-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice.

2010-01-01 | GSE19050 | GEO

Preliminary exploration of Oryza sativa small RNAs - Run 1 and 2

Project description:The small RNAs presented here were produced as a preliminary exploration of small RNAs in rice, and as such, various tissues and stress conditions were sampled. Small RNAs present in these samples were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682. The datasets contain Oryza sativa var Nipponbar endogenous small RNA sequences in the size range 18 to 34 nt. Plants were grown in a Conviron Environmental Chamber at high light intensity using both high pressure sodium and metal halide lamps for 10.5 hr at 28 degrees C and for 13.5 hr at 26 degrees C in the dark. RNA was extracted from rice tissues at various stages of development and under different abiotic and biotic stresses. The small RNAs presented here were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682.

2009-06-08 | GSE16248 | GEO

DIA-based Proteomics of Rice (Oryza sativa L.) Roots Exposed to Varying polyethylene terephthalate (PET) microplastic Concentrations

Project description:This project investigates the proteomic responses of rice (Oryza sativa L.) roots subjected to different concentrations of polyethylene terephthalate (PET) microplastic under hydroponic conditions. Data-Independent Acquisition (DIA) was used for proteome acquisition, and MaxQuant was employed for protein identification and quantification. The dataset includes raw mass spectrometry files and associated MaxQuant output tables.

2025-07-26 | PXD066634 |

Simple sequence repeat identification for RSS1 gene in multiple varieties of Oryza sativa

Project description:Studies have shown that Rice Salt Sensitive 1 (RSS1) is involved in stress response in rice plants. Primers were developed for amplification via Polymerase Chain Reaction (PCR) of a region that contained a simple sequence repeat (SSR) in RSS1. PCR was performed on 6 different varieties of Oryza sativa. PCR product was sequenced on an ABI 3730 capillary sequence machine. Sequence data was aligned to observe differences in SSR length between each rice variety.

2017-12-31 | E-MTAB-5583 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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