Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mitragyna parvifolia

ABSTRACT: Mitragyna parvifolia Raw sequence reads

PROVIDER: PRJNA1206454 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR31915939_1.fastq.gz	Fastqsanger.gz
	SRR31915939_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Ulmus parvifolia

Project description:Ulmus parvifolia Raw sequence reads

| PRJNA818867 | ENA

Ulmus parvifolia

Project description:Ulmus parvifolia overview

| PRJNA819140 | ENA

Project description:Mitragyna Parvifolia Genome

| PRJNA1225746 | ENA

Prosartes parvifolia

Project description:Prosartes parvifolia sequencing and assembly

| PRJNA1085357 | ENA

Morus alba Raw protein sequence reads

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

2024-02-08 | PXD049451 |

Ulmus parvifolia cultivar:LKY03

Project description:Ulmus parvifolia cultivar:LKY03 Genome sequencing

| PRJNA1068684 | ENA

Quantitative profiling of differentially expressed miRNAs in siCTL- and siOASL-transfected HUVECs

Project description:Purpose: The goal of this study is to compare endothelial small RNA transcriptome to identify the target of OASL under basal or stimulated conditions by utilizing miRNA-seq. Methods: Endothelial miRNA profilies of siCTL or siOASL transfected HUVECs were generated by illumina sequencing method, in duplicate. After sequencing, the raw sequence reads are filtered based on quality. The adapter sequences are also trimmed off the raw sequence reads. rRNA removed reads are sequentially aligned to reference genome (GRCh38) and miRNA prediction is performed by miRDeep2. Results: We identified known miRNA in species (miRDeep2) in the HUVECs transfected with siCTL or siOASL. The expression profile of mature miRNA is used to analyze differentially expressed miRNA(DE miRNA). Conclusions: Our study represents the first analysis of endothelial miRNA profiles affected by OASL knockdown with biologic replicates.

2022-09-06 | GSE186354 | GEO

Comparison analysis of metabolite profiling in seeds and bark of Ulmus parvifolia, a Chinese medicine species

Project description:Ulmus parvifolia (U. parvifolia) was traditionally used in the treatment of some diseases such as inflammation, diarrhea and fevers. With the wide application of molecular biotechnology in plant development and utilization, the pharmaceutical value and chemical composition of the bark and leaves of U. parvifolia had been studied. However, metabolic signatures of seeds have not been studied. Seeds and bark of U. parvifolia were collected at the seeds ripening stage and metabolite profiling was performed through the untargeted metabolomics approach. A total of 2,578 and 2,207 metabolites were identified in seeds and bark, respectively. In particular, 574 differential metabolites were identified from the two parts of U. parvifolia, including flavonoids, terpene glycosides, triterpenoids and sesquiterpenoids. There are some bioactive compounds with antioxidant, anti-inflammatory and anti-cancer activities in these metabolites. More metabolites belonged to flavonoids and sesquiterpenoids were up-regulated in seeds than that in bark. There were more varieties of terpene glycosides and triterpenoids in bark than seeds. The pathway enrichment was performed, while flavonoid biosynthesis and flavone and flavonol biosynthesis were worthy of attention. Metabolic signatures of U. parvifolia seeds and bark were analyzed by untargeted metabolomics approach. Metabolite profiling, characteristics of differential metabolites and pathway enrichment were performed to evaluate the pharmaceutical value of seeds and bark. This study provided a scientific basis for the complementary use of the two different parts of U. parvifolia as a Chinese medicinal material.

2024-01-09 | MTBLS4572 | MetaboLights

Sequencing of siRNA from soybean containing silencing vectors and empty vectors

Project description:A cDNA library was constructed by Novogene (CA, USA) using a Small RNA Sample Pre Kit, and Illumina sequencing was conducted according to company workflow, using 20 million reads. Raw data were filtered for quality as determined by reads with a quality score > 5, reads containing N < 10%, no 5' primer contaminants, and reads with a 3' primer and insert tag. The 3' primer sequence was trimmed and reads with a poly A/T/G/C were removed

2021-07-21 | GSE180131 | GEO

Exome sequencing in classic Hairy cell leukaemia reveals widespread variation in acquired somatic mutations between individual tumours apart from the signature BRAF V(600)E lesion

Project description:Whole exome sequencing of 5 HCLc tumor-germline pairs. Genomic DNA from HCLc tumor cells and T-cells for germline was used. Whole exome enrichment was performed with either Agilent SureSelect (50Mb, samples S3G/T, S5G/T, S9G/T) or Roche Nimblegen (44.1Mb, samples S4G/T and S6G/T). The resulting exome libraries were sequenced on the Illumina HiSeq platform with paired-end 100bp reads to an average depth of 120-134x. Bam files were generated using NovoalignMPI (v3.0) to align the raw fastq files to the reference genome sequence (hg19) and picard tools (v1.34) to flag duplicate reads (optical or pcr), unmapped reads, reads mapping to more than one location, and reads failing vendor QC.

2016-02-01 | E-MTAB-4313 | biostudies-arrayexpress

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