Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Chlorella

ABSTRACT: Chlorella sorokiniana and Auxenochlorella pyrenoidosa Transcriptome

PROVIDER: PRJNA1114901 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29209648_1.fastq.gz	Fastqsanger.gz
	SRR29209648_2.fastq.gz	Fastqsanger.gz
	SRR29209649_1.fastq.gz	Fastqsanger.gz
	SRR29209649_2.fastq.gz	Fastqsanger.gz
	SRR29209650_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 20

Similar Datasets

miRNA transcriptome profiling of Chlorella sorokiniana and Chlorella zofingiensis under normal and stress condition

Project description:Purpose: The purpose of this study are to identify the miRNA involved in regulating the production of metabolites in Chlorella sorokiniana and Chlorella zofingiensis under normal and stress-induced condition through RNA-sequencing technique. Methods: miRNA transcriptome profile from normal and stress sample of C. sorokiniana and C. zofingiensis were generated, in triplicate, using Illumina Miseq. The sequence reads that passed quality filters were analysed using CLC genomic workbench and OmiRas. Results: The known and predicted novel miRNAs were identified. Although most of the identified miRNAs were not functionally determined, this study suggests that they were species-specific, which may have roles in regulating genes during stress related condition.

2022-10-01 | GSE107372 | GEO

Chlorella sorokiniana

Project description:Chlorella sorokiniana

| PRJNA791694 | ENA

Transcriptome profiling of Chlorella sorokiniana under normal and stress condition

Project description:Purpose: The purpose of this study are to identify the genes involved in regulating the production of metabolites in Chlorella sorokiniana under stress-induced condition through RNA-sequencing technique. Methods:Transcriptome profile from normal and stress sample of C. sorokiniana were generated, in triplicate, using Illumina Hiseq2000. The sequence reads that passed quality filters were de-novo assembled using Trinity doftware, followed by analysis using Burrows–Wheeler Aligner (BWA) and DESeq2. Lastly, RT-qPCR was used to validate the expression level of genes. Results: A total of 200 million reads was obtained from both normal and stress induced samples of C. sorokiniana. The assembly program produced 18,310 assembled transcripts with a length ranging from 165 to 16,695 bp. Differential expression analysis revealed 933 transcripts were significantly differentially expressed between normal and stress with 431 were up-regulated and 502 were down-regulated. Pathway analysis revealed that the differentially expressed genes were associated with a variety of KEGG pathways.

2020-10-20 | GSE105427 | GEO

Effect of cadmium in the microalga Chlorella sorokiniana: A proteomic study

Project description:Effect of cadmium in the microalga Chlorella sorokiniana

2020-10-05 | PXD015932 | Pride

Chlorella sorokiniana

Project description:Chlorella sorokiniana overview

| PRJNA255013 | ENA

The genomic foundation of heterotrophy to photoautotrophy transition in Oleaginous Chlorella

Project description:The understanding of molecular events occurring in Chlorella during heterotrophy to photoautotrophy transition as well as sudden light stress and glucose starvation, are still largely unknown. To well grasp its cellular metabolism, particularly the regulation of biosynthesis and degradation pathways of lipid, protein and carbohydrates, as well as the diverse trophic adaptation affecting carbon partitioning during heterotrophy to photoautotrophy transition process, we sequenced the transcriptome (RNA-seq) in six time points to discover how transcriptional changes in C. pyrenoidosa modulate metabolic flux trends leading to intracellular components dynamic reassortment.

2015-11-02 | GSE40028 | GEO

Increased microalgae Chlorella sorokiniana lipid yield induced by low-dose ionizing radiation

Project description:We demonstrate that low-dose ionizing radiation from X-rays drives metabolic activation in microalgae. We exploited this phenomenon to develop a method for increased lipid yield in stationary phase Chlorella sorokiniana cultures by 25% in just 24 hours, caused by a reproducible metabolic response that includes up-regulation of >30 lipid metabolism genes. This approach avoids the need to modify the strain or cultivation conditions, and does not affect cell viability or biomass.

2024-06-06 | E-MTAB-12288 | biostudies-arrayexpress

Chlorella sorokiniana

Project description:Chlorella sorokiniana Transcriptome or Gene expression

| PRJNA279541 | ENA

Chlorella pyrenoidosa transcriptome

Project description:Chlorella pyrenoidosa transcriptome Raw sequence reads

| PRJNA1121120 | ENA

Chlorella sorokiniana

Project description:Chlorella sorokiniana Raw sequence reads

| PRJNA1084171 | ENA