Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: High throughput sequencing of sour tea samples

PROVIDER: PRJNA893263 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22053000_1.fastq.gz	Fastqsanger.gz
	SRR22053000_2.fastq.gz	Fastqsanger.gz
	SRR22053001_1.fastq.gz	Fastqsanger.gz
	SRR22053001_2.fastq.gz	Fastqsanger.gz
	SRR22053002_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 48

Similar Datasets

Identification and characterization of cold responsive microRNAs in tea plant (Camellia sinensis) based on high-throughput sequencing and their targets using degradome analysis [microarray]

Project description:Solexa sequencing technology was used to perform high throughput sequencing of the small RNA library from the cold treatment of tea leaves. Subsequently, aligning these sequencing date with plant known miRNAs, we characterized 112 C. sinensis conserved miRNAs. In addition, 215 potential candidate miRNAs were found; among them, 131 candidates with star sequence were chosen as novel miRNAs. There are both congruously and differently regulated miRNAs, and line-specific miRNAs were identified by microarray-based hybridization in response to cold stress. The miRNA chip included 3228 miRNA probes corresponding to miRNA transcripts listed in Sanger miRBase release 19.0 and 283 novel miRNAs probes founding in tea plant. In the study presented here, two tea plant cultivars, ‘Yingshuang’ (YS, a cold-tolerant tea plant cultivar) and ‘Baiye 1’ (BY, a cold-sensitive tea plant cultivar), were kept at 4°C for 4,12, 24 h, respectively, and 28°C for as control. These samples were used to acquire expression profiles of a total of 3,511 unique genes, leading to the successful construction of supervised

2015-05-14 | E-GEOD-53632 | biostudies-arrayexpress

Molecular link between leaf coloration and gene expression of flavonoid and carotenoid biosynthesis in Camellia sinensis cultivar ‘Huangjinya’

Project description:The transcriptome of a light sensitive tea cultivar ‘Huangjinya’ plants exposed to sunlight and shade were analyzed by high-throughput sequencing followed by de novo assembly.

2017-06-23 | GSE97659 | GEO

Project description:Bulang pickled tea high throughput sequencing

| PRJNA1029915 | ENA

To explore the relationship between new gene expression / mutation and survival of patients in colorectal cancer

Project description:Interventions: Case vs control:No Primary outcome(s): High-throughput sequencing Study Design: Case-Control study

| 2676067 | ecrin-mdr-crc

Project description:High throughput sequencing of Tea microbial communities

| PRJNA698063 | ENA

Identification and characterization of cold responsive microRNAs in tea plant (Camellia sinensis) based on high-throughput sequencing and their targets using degradome analysis [microarray]

2015-05-14 | GSE53632 | GEO

Affymetrix SNP array data for two parents and their 326 progenies and other 143 registered tea cultivars

Project description:For developing the more SNPs and new high-density genetic linkage map of tea plant, two parents and their 326 progenies and 147 registered tea cultivars was sequencing by newly developed Affymetrix Axiom genotyping technology

2022-03-09 | GSE182082 | GEO

Project description:High-throughput sequencing of strawberry samples

| PRJNA796705 | ENA

Lemon_acidity

Project description:Samples from fruit juice vesicle tissue from three lemon genotypes (Frost Lisbon, Faris "sour" and Faris "sweet") differing in fruit acidity were compared at two developmental timepoints (immature, mature). Faris lemon appears to be a graft chimera with the L2 layer derived from normal acid lemon and layer L1 from Millsweet limetta or a closely related genotype. Fruit of Faris sour and Faris sweet grew on different branches of the same tree, with sour fruit developing on branches with L1 and L2 from acid lemon.

2011-12-07 | GSE12804 | GEO

Transcriptome analysis of Botrytis cinerea in response to tea tree oil and its two characteristic components

Project description:Purpose: High-throughput RNA sequencing has been used to examine mRNA expression profiles in fungal cells treated with essential oils. The goals of this study are to analyze the global gene expression profiles in Botrytis cinerea with or without tea tree oil and its two characteristic components treatment by RNA-Seq. Methods: The mRNA profiles of Botrytis cinerea with or without tea tree oil and its two characteristic components treatment were generated by deep sequencing, in triplicate, using Illumina HiSeq™ 2500 sequencing platform. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR was performed to verified the sensitivity of the RNA-seq method. Results: After high-throughput RNA sequencing, reads were filtered to yield 111.22 Gb of clean sequence data. The GC content for all samples exceeded 45%. The Q20 ratio (used to evaluate reads quality) was greater than 94%, and Q30 base percentage was at least 87.07%. Altered expression of 7 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Most differentially expressed genes (DEGs) from B. cinera cells treated with terpinen-4-ol participated in biosynthesis of secondary metabolites, and the metabolism of amino acid, carbohydrate and lipid. 1,8-cineole mainly affected DEGs involved in genetic information processing, and thus inducing cell death. Conclusions: Terpinen-4-ol exerts antifungal activity mainly by blocking the expression of genes related to cell integrity and mitochondrial function. 1,8-cineole primarily affects genes involved in genetic information processing including DNA replication, transcription and repair. This study provides insight into the molecular mechanism by which tea tree oil acts against Botrytis cinerea based on the data from RNA-seq.

2019-10-03 | GSE138291 | 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