Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Lentil and wild lentil transcriptomes

PROVIDER: PRJNA523792 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8608160_1.fastq.gz	Fastqsanger.gz
	SRR8608160_2.fastq.gz	Fastqsanger.gz
	SRR8608780_1.fastq.gz	Fastqsanger.gz
	SRR8608780_2.fastq.gz	Fastqsanger.gz
	SRR8608161_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 204

Similar Datasets

E-GEOD-139439

Project description:Quantitative analysis of wild type and cd36-/- murine peritoneal macrophage transcriptomes

2020-04-29 | E-GEOD-139439 | ExpressionAtlas

E-GEOD-33141

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Nrl-/- Retinal Transcriptomes

2019-05-14 | E-GEOD-33141 | ExpressionAtlas

E-MTAB-6069

Project description:Comparison of the retinal transcriptomes of four Bhlhe23-/- mice and 4 sex and litter-matched wild type mice

2017-12-08 | E-MTAB-6069 | ExpressionAtlas

E-GEOD-68283

Project description:Next Generation Sequencing Analysis of Wild Type and Rfx2-/- Testicular Transcriptomes at post natal day 30 [RNA-Seq P30]

2019-05-14 | E-GEOD-68283 | ExpressionAtlas

E-GEOD-68284

Project description:Next Generation Sequencing Analysis of Wild Type and Rfx2-/- Testicular Transcriptomes at post natal day 21 [RNA-Seq P21]

2019-05-14 | E-GEOD-68284 | ExpressionAtlas

Applying a non-GMO breeding approach with an identified natural variation to reduce food allergen Len c3 in Lens culinaris seeds

Project description:Lentils (Lens culinaris) are produced in diverse agroecological regions and are consumed as one of the most important food legumes at world-wide. Lentils possess a nutritional profile from a human health perspective that is not only nutrient-dense but also offers a better balance between protein and carbohydrates. However, lentil causes food allergy which has been a significant concern due to increased consumption in parts of the world. Len c3, a none-specific Lipid Transfer Protein (LTP), was identified as one of the allergens in lentil seeds. In this study, we firstly identified the Len c3 encoding gene LcLTP3b via peptide sequence blasting. We then focused on screening natural variations to search for lentil germplasms that harbors natural mutated allergen-encoding genes. A natural variation 11 was identified with mutations at LcLTP3b and low accumulation of vicilin through genomic-assisted approaches. Furthermore, we generated a pool of lentil germplasms with Len c3-free background through crossing the identified natural variation 11 with two lentil cultivars, CDC Redmoon and CDC Gold. These Len c3-free lentil germplasms can be used as a breeding resource targeting at reducing allergen risk in lentil consumption.

2024-02-29 | GSE255951 | GEO

Global gene profilings in embryo and seed coat of lentil during embryogenesis

Project description:We present an atlas of global gene expression covering embryo and seed coat development in lentil, providing insights into the evolution of gene expression in embryogenesis of lentil species.

2023-09-20 | GSE216220 | GEO

E-GEOD-77997

Project description:Quantitative Analysis of Notch mutant (Notch1&2-null, Psen1&2-null, RBPjk-null) and wild-type hair follicle transcriptomes by NGS

2019-05-14 | E-GEOD-77997 | ExpressionAtlas

Genotyping-by-sequencing (GBS) of wild and cultivated Lens accessions and the domestication history of lentils

Project description:To use NGS data to investigate the history of lentil domestication.

2020-09-30 | E-MTAB-9222 | biostudies-arrayexpress

Comparative RNA-seq analysis of the drought-sensitive lentil (Lens culinaris) root and leaf under short- and long-term water deficits

Project description:Drought stress is one of the main environmental factors that affects growth and productivity of crop plants, including lentil. To gain insights into the genome-wide transcriptional regulation in lentil root and leaf under short- and long-term drought conditions, we performed RNA-seq on a drought-sensitive lentil cultivar (Lens culinaris Medik. cv. Sultan). After establishing drought conditions, lentil samples were subjected to de novo RNA-seq-based transcriptome analysis. The 207,076 gene transcripts were successfully constructed by de novo assembly from the sequences obtained from root, leaf, and stems. Differentially expressed gene (DEG) analysis on these transcripts indicated that period of drought stress had a greater impact on the transcriptional regulation in lentil root. The numbers of DEGs were 2915 under short-term drought stress while the numbers of DEGs were increased to 18,327 under long-term drought stress condition in the root. Further, Gene Ontology analysis revealed that the following biological processes were differentially regulated in response to long-term drought stress: protein phosphorylation, embryo development seed dormancy, DNA replication, and maintenance of root meristem identity. Additionally, DEGs, which play a role in circadian rhythm and photoreception, were downregulated suggesting that drought stress has a negative effect on the internal oscillators which may have detrimental consequences on plant growth and survival. Collectively, this study provides a detailed comparative transcriptome response of drought-sensitive lentil strain under short- and long-term drought conditions in root and leaf. Our finding suggests that not only the regulation of genes in leaves is important but also genes regulated in roots are important and need to be considered for improving drought tolerance in lentil.

2019-04-19 | GSE115199 | GEO

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