Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNAseq for NIP and SDG708 overexpressed plant

ABSTRACT: RNAseq for NIP and SDG708 overexpressed plant

PROVIDER: PRJNA673915 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12967910_1.fastq.gz	Fastqsanger.gz
	SRR12967910_2.fastq.gz	Fastqsanger.gz
	SRR12967911_1.fastq.gz	Fastqsanger.gz
	SRR12967911_2.fastq.gz	Fastqsanger.gz
	SRR12967912_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 18

Similar Datasets

RNAseq for NIP and SDG708 overexpressed plant

Project description:Chromatin modifications play important roles in plant adaptation to abiotic stresses, but the precise function of histone H3 lysine 36 (H3K36) methylation in drought tolerance remains poorly evaluated. Here, we report that SDG708, a specific H3K36 methyltransferase, functions as a positive regulator of drought tolerance in rice.

2021-06-30 | GSE160680 | GEO

RNAseq of Salvia dorisiana plant parts

Project description:RNAseq of Salvia dorisiana plant parts

2021-03-21 | GSE112263 | GEO

RNAseq for NIP and SDG708 RNAi mutant

Project description:RNAseq for NIP and SDG708 RNAi mutant

| PRJNA673914 | ENA

RNAseq of Salvia dorisiana plant parts

Project description:RNAseq of Salvia dorisiana plant parts

| PRJNA445431 | ENA

Detailed transcriptome analysis of the plant growth promoting Paenibacillus riograndensis SBR5 using RNAseq technology

Project description:Background- The plant growth promoting rhizobacterium Paenibacillus riograndensis SBR5 is a promising candidate to serve as crop inoculant. Despite its potential regarding environmental and economic benefits, the species P. riograndensis is poorly characterized. Here, we performed for the first time a detailed transcriptome analysis of P. riograndensis SBR5 using RNAseq technology. Results- Sequence analysis of the library enriched in 5’-ends of the primary transcripts was used to identify 1,082 TSS belonging to novel transcripts and allowed us to determine a promoter consensus sequence and regulatory sequences in 5’ untranslated regions including riboswitches Conclusions- Our RNAseq analysis provides insight into the P. riograndensis SBR5 transcriptome at the systems level and will be a valuable basis for differential RNAseq analysis of this bacterium.

2017-10-25 | GSE98766 | GEO

Oryza sativa

Project description:Rice salt tolerance NIP RNAseq (PRJCA039644)

| PRJDB36637 | ENA

Human hepatocellular carcinoma MHCC-97H: Control vs ROCK1 overexpressed vs ROCK2 overexpressed

Project description:Human hepatocellular carcinoma MHCC-97H: Control vs ROCK1 overexpressed vs ROCK2 overexpressed

| PRJNA503828 | ENA

N6-Methyladenine DNA Methylation in Japonica and Indica Rice Genomes and Its Association with Gene Expression, Plant Development, and Stress Responses [BiSulfite-seq]

Project description:N6-Methyladenine (6mA) DNA methylation has recently been implicated as a potential new epigenetic marker in eukaryotes, including the dicot model Arabidopsis thaliana. However, the conservation and divergence of 6mA distribution patterns and functions in plants remain elusive. Here we report high-quality 6mA methylomes at single-nucleotide resolution in rice based on substantially improved genome sequences of two rice cultivars, Nipponbare (Nip; Japonica) and 93-11 (Indica). Analysis of 6mA genomic distribution and its association with transcription suggest that 6mA distribution and function is rather conserved between rice and Arabidopsis. We found that 6mA levels are positively correlated with the expression of key stress-related genes, which may be responsible for the difference in stress tolerance between Nip and 93-11. Moreover, we showed that mutations in DDM1 cause defects in plant growth and decreased 6mA level. Our results reveal that 6mA is a conserved DNA modification that is positively associated with gene expression and contributes to key agronomic traits in plants.

2018-12-10 | GSE121274 | GEO

N6-Methyladenine DNA Methylation in Japonica and Indica Rice Genomes and Its Association with Gene Expression, Plant Development, and Stress Responses [RNA-seq]

2018-12-10 | GSE121269 | GEO

Transcriptome profiling of Drosophila wild type and ttk-RNAi, dpn overexpressed, Nicd overexpressed and seq&Nicd overexpressed intestinal progenitor cells

Project description:Transcriptome profiling of Drosophila wild type and ttk-RNAi, dpn overexpressed, Nicd overexpressed and seq&Nicd overexpressed intestinal progenitor cells

| PRJNA542069 | ENA

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