Similar studies for GEO DataSets (Select 200235844) - GEO DataSets

Select item 2002358441.

Leveraging RNA-seq of bread wheat transcriptome to reveal diversity of RSA-related transcripts and their expression in contrasting environments

(Submitter supplied) Root traits are significant targets for breeding stress-resilient and high-yielding wheat genotypes under climatic fluctuations. However, root transcriptome analysis is usually obscured due to challenges in root research. We performed transcriptome analysis of thirty bread wheat cultivars using RNA-seq to investigate the diversity and expression of root system architecture (RSA) related transcripts. more...

Organism:: Triticum aestivum

Type:: Expression profiling by high throughput sequencing

Platform:: GPL26077
58 Samples

Download data: TXT

Series

Accession:: GSE235844

ID:: 200235844

PubMed Full text in PMC Similar studies

Select item 2001623132.

The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Oryza sativa

Type:: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platforms:: GPL27660 GPL23013
124 Samples

Download data: BW, TSV

Series

Accession:: GSE162313

ID:: 200162313

PubMed Full text in PMC Similar studies

Select item 2001623123.

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

(Submitter supplied) 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. more...

Organism:: Oryza sativa

Type:: Genome binding/occupancy profiling by high throughput sequencing

Platform:: GPL23013
2 Samples

Download data: BW

Series

Accession:: GSE162312

ID:: 200162312

PubMed Full text in PMC Similar studies SRA Run Selector

Select item 2001623114.

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

Organism:: Oryza sativa

Type:: Expression profiling by high throughput sequencing

Platform:: GPL27660
122 Samples

Download data: TSV

Series

Accession:: GSE162311

ID:: 200162311

PubMed Full text in PMC Similar studies SRA Run Selector

Select item 2001284855.

Identify genes involved in ER stress in wheat using RNA sequencing

(Submitter supplied) We used dithiothreitol (DTT) and tauroursodeoxycholic acid (TUDCA) to induce or suppress ER stress in wheat cells, respectively, with the aim to reveal the molecular background of ER stress responses using RNA sequencing. Transcriptomic analysis revealed that 8204 genes were differentially expressed in three treatment groups. Among these genes, 158 photosynthesis-related genes, 42 antioxidant enzyme genes, 318 plant hormone-related genes and 457 transcription factors (TFs) might play vital roles in regulating wheat response to ER stress.

Organism:: Triticum aestivum

Type:: Expression profiling by high throughput sequencing

Platform:: GPL23509
9 Samples

Download data: TXT

Series

Accession:: GSE128485

ID:: 200128485

PubMed Full text in PMC Similar studies SRA Run Selector

GEO DataSets

Functional Genomics Studies

Result Filters

Entry type

Organism

Study type

Author

Attribute name

Publication dates

Custom date range

Additional filters

Send to:

Links from GEO DataSets

Items: 5

Send to:

Supplemental Content

Find related data

Important Links

Recent activity