Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Aloe vera

ABSTRACT: Aloe vera Raw sequence reads

PROVIDER: PRJNA635209 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11870900_1.fastq.gz	Fastqsanger.gz
	SRR11870900_2.fastq.gz	Fastqsanger.gz
	SRR11870901_1.fastq.gz	Fastqsanger.gz
	SRR11870901_2.fastq.gz	Fastqsanger.gz
	SRR11870902_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 54

Similar Datasets

Aloe vera

Project description:Aloe vera overview

| PRJNA158189 | ENA

Analysis of the Aloe vera transcriptome using the Affymetrix ATH1 GenChip

Project description:The Aloe vera transcriptome was analysed by hybridising triplicate samples of root and leaf tissue to the Affymetrix Arabidopsis ATH1 array.

2011-03-27 | GSE24389 | GEO

Aloe vera

Project description:Analysis of the Aloe vera transcriptome using the Affymetrix ATH1 GenChip

| PRJNA132875 | ENA

Analysis of the Aloe vera transcriptome using the Affymetrix ATH1 GenChip

Project description:The Aloe vera transcriptome was analysed by hybridising triplicate samples of root and leaf tissue to the Affymetrix Arabidopsis ATH1 array. In total, 7 samples were hybridised to the array. Samples consisted of 1 genomic DNA, and triplicate samples of leaf and root RNA.

2011-03-26 | E-GEOD-24389 | biostudies-arrayexpress

Aloe vera

Project description:De novo assembly and transcriptome sequencing of Aloe vera for the retrieval of putative genes of secondary metabolism

| PRJNA359629 | ENA

Pistacia vera

Project description:Pistacia vera overview

| PRJNA390447 | ENA

Project description:Aloe vera genome and transcriptome sequence

| PRJNA634897 | ENA

LC-MS based phytochemical profiling towards the identification of antioxidant markers in some endemic Aloe species from Mascarene Islands

Project description:Aloe plant species have been used for centuries in traditional medicine and reported to be an important source of natural products. However, despite the large number of species within the Aloe genus, only a few of them have been investigated chemotaxonomically. A Molecular Network approach was used to highlight the different chemical classes characterizing the leaves of five Aloe species: Aloe macra, Aloe vera, Aloe tormentorii, Aloe ferox and Aloe purpurea. Aloe macra, A. tormentorii and A. purpurea are endemic from the Mascarene Islands comprising Reunion, Mauritius and Rodrigues. UHPLC-MS/MS analysis followed by a dereplication process allowed the characterization of 93 metabolites. The newly developed MolNotator algorithm was used as a tool for molecular networking and allowed a better exploration of the Aloe metabolome chemodiversity. The five species appeared to be rich in polyphenols (anthracene derivatives, flavonoids, phenolic acids). Therefore, total phenolic content and antioxidant activity of the five species were evaluated, and a DPPH-On-Line-HPLC assay was used to determine the metabolites responsible for the radical scavenging activity. The use of computational tools allowed a better description of the chemotaxonomy of five Aloe species, which showed differences in their metabolite composition, both qualitative and quantitative. Moreover, the molecular network approach allowed the identification of metabolites responsible for the antioxidant activity.

2022-06-17 | MSV000089679 | MassIVE

Morus alba Raw protein sequence reads

Project description:Morus alba L. Raw protein sequence reads and sequence

2024-02-08 | PXD049451 |

Project description:Accelerated burn injury healing in rats using aloe vera fermentation Raw sequence reads

| PRJNA483382 | ENA