Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-MTAB-10374

ABSTRACT: Distinct Cellular Strategies Determine Sensitivity to Mild Drought of Arabidopsis Natural Accessions

PROVIDER: E-MTAB-10374 | ExpressionAtlas | 2025-07-07

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-MTAB-10374-analysis-methods.tsv	Tabular
	E-MTAB-10374-analytics.tsv	Tabular
	E-MTAB-10374-atlasExperimentSummary.Rdata	Rdata
	E-MTAB-10374-configuration.xml	Xml
	E-MTAB-10374-g2_g1-mvaPlot.png	Other

Items per page:

1 - 5 of 33

Similar Datasets

Distinct Cellular Strategies Determine Sensitivity to Mild Drought of Arabidopsis Natural Accessions

Project description:Distinct Cellular Strategies Determine Sensitivity to Mild Drought of Arabidopsis Natural Accessions

| PRJEB44402 | ENA

Distinct Cellular Strategies Determine Sensitivity to Mild Drought of Arabidopsis Natural Accessions

Project description:RNA sequencing on the third true leaves of two Arabidopsis natural accessions (ICE163 and Yeg-1) exposed to mild drought stress which was initiated from 6 days after stratification onwards. Samples were harvested at 6 PM on day 11.

2021-04-24 | E-MTAB-10374 | biostudies-arrayexpress

Multi-omics profiling of 5 Arabidopsis accessions in response to combined water and nitrogen deficiencies

Project description:In this study, we build an in-depth multi-omics profile of 5 Arabidopsis accessions, in order to find the inner relations of N deficit, mild drought, and combined stress response at the physiological, metabolic and transcriptional level.

2024-05-23 | GSE206890 | GEO

RNA-sequencing data of young developing leaves of 6 Arabidopsis accessions in control and mild drought conditions

Project description:Transcriptome analysis on young developing leaves of 6 Arabidopsis thaliana accessions (An1, Blh1, Col0, Cvi0, Oy0, Sha) subjected to control and mild drought conditions.

2015-02-28 | E-MTAB-3279 | biostudies-arrayexpress

Natural variation of transcriptional response to mild drought in growing Arabidopsis leaves

Project description:RNA-seq data of Arabidopsis thaliana accessions exposed to mild drought or control treatments. The sampled tissue is the third leaf at the last day of proliferation (cell division phase).

2016-09-26 | E-MTAB-5009 | biostudies-arrayexpress

Physiological genomics of response to soil drying in diverse Arabidopsis accessions

Project description:This SuperSeries is composed of the following subset Series: GSE27548: cRNA hybridizations of 10 Spring annual accessions of Arabidopsis thaliana under well-watered and mild soil drying GSE27549: Genomic dna hybridizations of 10 Spring annual accessions of Arabidopsis thaliana GSE27550: cRNA hybridizations of 18 accessions of Arabidopsis thaliana under well-watered and mild soil drying GSE27551: Genomic dna hybridizations of 8 winter annual accessions of Arabidopsis thaliana Refer to individual Series

2012-03-09 | E-GEOD-27552 | biostudies-arrayexpress

Dual and spatially resolved drought responses in the Arabidopsis leaf mesophyll revealed by single-cell transcriptomics

Project description:Drought stress imposes severe challenges on agriculture by impacting crop performance. Understanding drought responses in plants at a cellular level is a crucial first step towards engineering improved drought resilience. The molecular responses to drought are however very complex as they depend on multiple factors including the severity of drought, the profiled organ, its developmental stage and even the cell types therein. As such, deciphering the transcriptional responses to drought is specifically challenging.In the study associated with this data submission, we investigated tissue-specific responses to mild drought in young Arabidopsis thaliana (Arabidopsis) leaves using single-cell RNA sequencing (scRNA-seq, deposited under another id, GSE273033). To preserve transcriptional integrity during cell isolation, we fixed the RNA prior to cell isolation using the transcription inhibitor actinomycin D, demonstrating the benefits of fixation for studying mild stress responses at single-cell level. The transcriptome data deposited here corresponds to the bulk RNA-sequencing experiments described in this study. The samples presented here are undigested leaves, leaves digested by cell wall degradation without fixation, and leaves digested by cell wall degradation with RNA fixation. All sample types were collected from plants growing under well-watered and mild drought conditions.

2025-01-16 | GSE273926 | GEO

Dual and spatially resolved drought responses in the Arabidopsis leaf mesophyll revealed by single-cell transcriptomics

Project description:Drought stress imposes severe challenges on agriculture by impacting crop performance. Understanding drought responses in plants at a cellular level is a crucial first step towards engineering improved drought resilience. However, the molecular responses to drought are complex as they depend on multiple factors including the severity of drought, the profiled organ, its developmental stage or even the cell types therein. Thus, deciphering the transcriptional responses to drought is specially challenging. In this study, we investigated tissue-specific responses to mild drought in young Arabidopsis thaliana (Arabidopsis) leaves using single-cell RNA sequencing (scRNA-seq). To preserve transcriptional integrity during cell isolation, we inhibited RNA synthesis using the transcription inhibitor actinomycin D, demonstrating the benefits of transcriptome fixation for studying mild stress responses at single-cell level. We present a curated and validated single-cell atlas comprising 50,797 high-quality cells from almost all known cell types present in the leaf. All cell types were validated with a new library of reporter lines.

2025-01-15 | GSE273033 | GEO

The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions [RNA-seq]

Project description:Genomic diversity is a source of transcriptomic and phenotypic diversities. Although genomic variations in rice (Oryza sativa) accessions have been extensively analyzed, information of transcriptomic and phenotypic variations, especially for below-ground variations, are limited. Here, we report the diversities of above- and below-ground traits and transcriptomes in highly diversified 61 rice accessions grown in the upland-field. We found that phenotypic variations were explained by four principal components and that tiller numbers and crown root diameters could summarize admixture groups. Transcriptome analysis revealed that admixture-group-associated differentially expressed genes were enriched with stress response related genes, suggesting that admixture groups have distinct stress response mechanisms. Root growth was negatively correlated with auxin inducible genes, suggesting the association between auxin signaling and mild drought stress. Negative correlation between crown root diameters and stress response related genes suggested that thicker crown root diameter is associated with mild drought stress tolerance. Finally co-expression network analysis implemented with DAP-seq analysis identified phytohormone signaling network and key transcription factors negatively regulating crown root diameters. Our datasets would serve as an important resource for understanding genomic and transcriptomic basis of phenotypic variations under the upland-field condition.

2021-03-07 | GSE162311 | GEO

The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions [DAP-seq]

2021-03-07 | GSE162312 | GEO