Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Crypthecodinium cohnii

ABSTRACT: Transcriptome profiling of UV-C irradiated Crypthecodinium cohnii

PROVIDER: PRJNA853487 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19891945_1.fastq.gz	Fastqsanger.gz
	SRR19891945_2.fastq.gz	Fastqsanger.gz
	SRR19891946_1.fastq.gz	Fastqsanger.gz
	SRR19891946_2.fastq.gz	Fastqsanger.gz
	SRR19891950_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Crypthecodinium cohnii

Project description:Crypthecodinium cohnii overview

| PRJNA378308 | ENA

Crypthecodinium cohnii

Project description:Crypthecodinium cohnii Raw sequence reads

| PRJNA862194 | ENA

Crypthecodinium cohnii strain:ATCC 30556

Project description:Crypthecodinium cohnii Raw RNA-sequencing reads

| PRJNA318728 | ENA

Crypthecodinium cohnii strain:ATCC 30556

Project description:Crypthecodinium cohnii strain:ATCC 30556 Raw sequence reads

| PRJNA374617 | ENA

Crypthecodinium

Project description:Crypthecodinium sp. overview

| PRJNA1058075 | ENA

Rewiring the metabolic network to increase docosahexaenoic acid productivity in Crypthecodinium cohnii by fermentation supernatant-based adaptive laboratory evolution

Project description:To overcome the inhibition caused by the fermentation supernatant in the late fermentation stage of docosahexaenoic acid (DHA)-producing Crypthecodinium cohnii, fermentation supernatant-based adaptive laboratory evolution (FS-ALE) was conducted. The cell growth and DHA productivity of the evolved strain (FS280) obtained after 280 adaptive cycles corresponding to 840 days of evolution were increased by 161.87% and 311.23%, respectively, at 72 h under stress conditions and increased by 19.87% and 51.79% without any stress compared with the starting strain, demonstrating the effectiveness of FS-ALE.

2021-11-27 | PXD030028 |

Crypthecodinium sp.

Project description:Temperature-Crypthecodinium sp. SUN-RNA-seq

| PRJNA1066541 | ENA

Separation of Heterotrophic Microalgae <i>Crypthecodinium cohnii</i> by Dielectrophoresis.

Project description:Microalgae constitute an abundant source of poly-unsaturated fatty acids which are applied in various biotechnological fields such as pharmaceuticals and food supplement. Separating microalgae cells with respect to their lipid content would establish a relevant at-line analytical technique. The present study demonstrates an electrical approach for the separation of the lipid-producing microalgae Crypthecodinium cohnii using the effect of dielectrophoresis (DEP) in a microfluidic flow cell. Microalgae were cultivated for 8 days, while cell growth was characterized by optical density, dry cell weight, glucose concentration and lipid content via fluorescence microscopy. The size distribution of cells during cultivation was thoroughly investigated, since the DEP force scales with cell volume, but also depends on lipid content via cell electrophysiological constants. Thus, the challenge was to deconvolute one separation effect from the other, while the electrical cell constants of C. cohnii are not known yet. The DEP-dependent separation was realized by slanted top-bottom electrodes with the flowing cell suspension between them. Turning on the voltage deflected the cells from their initial path as determined by the streaming and thus changed their direction of flow. The separation efficiency of DEP was tested for various electrical field strengths and its performance was determined by quantitative analysis of optical and fluorescence videos. It could be shown for all size groups that the most lipid-containing cells were always subject to DEP separation and that the method is thus not only suitable for process analysis, but also for strain selection of the most productive cell lines.

| S-EPMC9169251 | biostudies-literature

Genetic Engineering of Crypthecodinium cohnii to Increase Growth and Lipid Accumulation.

Project description:In this study, we evaluated suitable selected markers and optimized transformation protocols to develop a new genetic transformation methodology for DHA-producing Crypthecodinium cohnii. Additionally, ribulose 1,5-bisphosphate carboxylase/oxygenase (RuBisCO), potentially involved in CO2 fixation under autotrophic conditions, was selected as the target for construction of a gene knockdown mutant. Our results show that the constructs were successfully inserted into the C. cohnii chromosome by homologous recombination. Comparative analysis showed that deletion of the RuBisCO gene promoted cell growth and increased the lipid content of C. cohnii under heterotrophic conditions compared with those of the wild-type. The liquid chromatography-mass spectrometry (LC-MS) based metabolomic analysis showed that the metabolites involved in energy metabolism were upregulated, suggesting that the deletion of the RuBisCO gene may contribute to the re-direction of more carbon or energy toward growth and lipid accumulation under heterotrophic conditions.

| S-EPMC5868476 | biostudies-literature

Transcriptomic, proteomic and metabolomic analysis of UV-B signaling in maize

Project description:This study looked for signals produced in UV-B irradiated leaves, and possibly induced in shielded leaves, that modulate physiological responses in maize. Transcriptome and proteomics profiling tracked changes in exposed and shielded organs. Metabolic profiling was examined for signaling molecules. Exposure of just the top leaf substantially alters the transcriptome of both irradiated and shielded organs, with greater changes as an additional 1-2 leaves are irradiated. Transcriptome, proteome and metabolome changes are UV-B regulated in shielded organs. Early steps in signal transduction and possible signal molecules are identified utilizing a time course experiment. Keywords: UVB, maize, leaves, ears

2011-02-01 | GSE25038 | 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