Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Comparative transcriptome analysis within the Lolium/Festuca species complex

PROVIDER: PRJNA266320 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1648382_1.fastq.gz	Fastqsanger.gz
	SRR1648382_2.fastq.gz	Fastqsanger.gz
	SRR1648494.fastq.gz	Fastqsanger.gz
	SRR1648406_1.fastq.gz	Fastqsanger.gz
	SRR1648406_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 11

Similar Datasets

Project description:Forage and turf grasses Festuca, Lolium and their hybrids transcriptome

| PRJNA308063 | ENA

Next Generation Sequencing Study of Circadian Changes in Transcriptome of Human Pineal Gland

Project description:Purpose: We performed an NGS study on the circadian changes in human pineal gland transcriptome in order to elucidate novel and conserved elements in the circadian clock, as well as to conduct a comparative analysis of pineal transcriptomes of several animal species. Methods: Total RNA from human pineal glands of individuals that died at 2 timepoints (Mid-Day, Midnight) was deep sequenced, using Illumina HiSeq2500. Reads were aligned using STAR aligner and differential expression was asssessed using DESeq2. Results: We discover a variety of genes that show circadian activivty in human pineal gland. Conclusions: Our study represents part of a comparative analysis of pineal gland transcriptome of several species, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

2018-02-01 | GSE100472 | GEO

Comparative transcriptome analysis of cadmium responses in Lolium multiflorum

Project description:Comparative transcriptome analysis of cadmium responses in Lolium multiflorum

| PRJNA603737 | ENA

Project description:Comparative transcriptome of four species in Saccharum complex

| PRJNA911338 | ENA

Insight into cellular proteome of Lolium multiflorum/Festuca arundinacea introgression forms to decipher crucial mechanisms of cold acclimation in forage grasses

Project description:Frost tolerance is the main component of winter-hardiness. To express this trait, plants have to sense low temperature, and respond by activating the process of cold acclimation. The molecular mechanisms of this acclimation have not been fully understood in the agronomically important group of forage grasses, including Lolium-Festuca species. Herein, the introgression forms of L. multiflorum/F. arundinacea distinct with respect to their frost tolerance, were used as models for the comprehensive, proteomic and physiological, research to recognize the crucial components of cold acclimation in forage grasses. The obtained results stressed the importance of photosynthetic performance under acclimation to low temperature. The stable level of photochemical processes after three weeks of cold acclimation in the introgression form with a higher level of frost tolerance, combined simultaneously with the stable level of CO2 assimilation after that period, despite decreased stomatal conductance, indicated the capacity for that form to acclimate its photosynthetic apparatus to low temperature. This phenomenon was driven by the Calvin cycle efficiency, associated with revealed here accumulation profiles and activities of chloroplastic aldolase. The capacity to acclimate the photosynthetic machinery to cold could be one of the most crucial components of forage grass metabolism to improve frost tolerance.

2018-04-10 | PXD007257 | Pride

Drought study on Lolium and Festuca spp

Project description:Transcriptome profiling of Lolium and Festuca spp leaf and root under drought conditions

| PRJEB40944 | ENA

Lolium multiflorum x Festuca arundinacea

Project description:Leaf transcriptome sequencing of Lolium multiflorum/Festuca arundinacea introgression forms exposed to drought

| PRJNA770853 | ENA

Project description:Festulolium hybrids (Festuca pratensis x Lolium multiflorum), pollen RNA sequencing

| PRJNA833252 | ENA

Generation of a Panel of Induced Pluripotent Stem Cells From Chimpanzees: a Resource for Comparative Functional Genomics [ChIP-Seq]

Project description:Comparative genomics studies in primates are extremely restricted due to our limited access to samples from non-human apes. In order to gain better insight into the genetic processes that underlie variation in complex phenotypes in primates, we must have access to faithful model systems for a wide range of cell types. To facilitate this, we have generated a panel of 7 fully characterized chimpanzee induced pluripotent stem cell (iPSC) lines derived from healthy donors. To begin demonstrating the utility of comparative iPSC panels, we collected RNA-sequencing and DNA methylation data from the chimpanzee iPSCs and the corresponding fibroblast lines, as well as from 7 human iPSCs and their source lines, which encompass multiple populations and cell types. We observe much less within-species variation in iPSCs than in somatic cells, indicating that the reprogramming process erases many inter-individual differences. The low within-species regulatory variation in iPSCs allowed us to identify many novel inter-species regulatory differences of small magnitude. We used ChIP-seq to characterize the genome-wide distribution of two types of histone modifications (H3K27me3 and H3K27ac) in three of our chimpanzee iPSCs and compared them to histone modification data from three human iPSC lines from the Roadmap Epigenomics project:

2015-06-17 | E-GEOD-69919 | biostudies-arrayexpress

Generation of a Panel of Induced Pluripotent Stem Cells From Chimpanzees: a Resource for Comparative Functional Genomics [ChIP-Seq]

2015-06-17 | GSE69919 | GEO