Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNAseq analysis of Saccharomyces cerevisiae ethanol fermentation with oxygen sparging during the fermentation phase provided by either microbubbles or regular bubbles

ABSTRACT: RNAseq analysis of Saccharomyces cerevisiae ethanol fermentation with oxygen sparging during the fermentation phase provided by either microbubbles or regular bubbles

PROVIDER: PRJEB36375 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3835500.fastq.gz	Fastqsanger.gz
	ERR3835500_1.fastq.gz	Fastqsanger.gz
	ERR3835500_2.fastq.gz	Fastqsanger.gz
	ERR3835510.fastq.gz	Fastqsanger.gz
	ERR3835510_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 63

Similar Datasets

RNAseq analysis of Saccharomyces cerevisiae ethanol fermentation with oxygen sparging during the fermentation phase provided by either microbubbles or regular bubbles

Project description:Microbubbles are micron-sized bubbles generated using a fluidic oscillator. They have the potential to decrease the cost of biotechnology processes through decreasing the energy required for aeration and mixing. Propagation of yeast cells showed few morphological and transcriptomic changes when cultivated with either micro bubbles or regular bubbles. This experiment was designed to see if changes could be detected in the transcriptome when cells were cultivated on microbubbles and then split into two reactors for the fermentation phase where low levels of oxygen were provided during the fermentation phase using either micro bubbles or regular bubbles

2020-06-30 | E-MTAB-8716 | biostudies-arrayexpress

Yeast transcriptomics in sugarcane-based ethanol fermentation

Project description:The present work aimed to compare the transcriptome of three major ethanol-producer Saccharomyces cerevisiae strains in Brazil when fermenting sugarcane juice for fuel ethanol production. This was motivated by the reports presenting physiological and genomics differences among them, and by the attempt to identify genes that could be related to their fermentation capacity and adaptation for different industrial processes.

2012-11-27 | GSE42433 | GEO

Yeast transcriptomics in sugarcane-based ethanol fermentation

2012-11-27 | E-GEOD-42433 | biostudies-arrayexpress

Transcriptome of Kluyveromyces marxianus during ethanol fermentation

Project description:Transcriptome of Kluyveromyces marxianus during ethanol fermentation

| PRJEB25926 | ENA

2G ethanol industrial-scale fermentation metagenome

Project description:2G ethanol industrial-scale fermentation metagenome Raw sequence reads

| PRJNA667549 | ENA

Carcharodon carcharias strain:not provided | isolate:not provided | breed:not provided | cultivar:not provided

Project description:Carcharodon carcharias strain:not provided | isolate:not provided | breed:not provided | cultivar:not provided Raw sequence reads

| PRJNA1133980 | ENA

Lignocellulose fermentation to ethanol or lactate by giant panda gut microbiomes depends ultimately on pH rather than portion of bamboo

Project description:Giant panda are carnivorous bears which feed almost exclusively on plant biomass (i.e. bamboo). The potential contribution of its gut microbiome to lignocellulose degradation has been mostly investigated with cultivation-independent approaches. Recently, we reported on the first lab-scale cultivation of giant panda gut microbiomes and described their actual fermentation capacity. Fermentation of bamboo leaf using green dung resulted in a neutral pH, the main products being ethanol, lactate and H2. Fermentation of bamboo pith using yellow dung resulted in an acidic pH, the main product being lactate. Here, we cultivated giant panda gut microbiomes to test 1) the impact of mixed dung as inoculum; 2) the fermentation capacity of solid lignocellulose as opposed to organics-rich biofluids in the dung; 3) the artificial shift of pH from neutral to acidic on bamboo leaf fermentation. Our results indicate that i) gut microbiomes fermentation of solid lignocellulose contributes up to a maximum of 1/3 even in the presence of organics-rich biofluids; ii) alcohols are an important product of bamboo leaf fermentation at neutral pH; iii) aside hemicellulose, gut microbiomes may degrade plant cell membranes to produce glycerol; iv) pH, rather than portion of bamboo, ultimately determines fermentation profiles and gut microbiome assemblage.

2021-06-11 | PXD018503 | Pride

Transcriptional profile analysis of Saccharomyces cerevisiae in second fermentation

Project description:Second fermentation in a bottle supposes such specific conditions that undergo yeasts to a set of stress situations like high ethanol, low nitrogen, low pH or sub-optimal temperature. Also, yeast have to grow until 1 or 2 generations and ferment all sugar available while they resist increasing CO2 pressure produced along with fermentation. Because of this, yeast for second fermentation must be selected depending on different technological criteria such as resistance to ethanol, pressure, high flocculation capacity, and good autolytic and foaming properties. All of these stress factors appear sequentially or simultaneously, and their superposition could amplify their inhibitory effects over yeast growth. Considering all of the above, it has supposed interesting to characterize the adaptive response of commercial yeast strain EC1118 during second-fermentation experiments under oenological/industrial conditions by transcriptomic profiling. We have pointed ethanol as the most relevant environmental condition in the induction of genes involved in respiratory metabolism, oxidative stress, autophagy, vacuolar and peroxisomal function, after comparison between time-course transcriptomic analysis in alcoholic fermentation and transcriptomic profiling in second fermentation. Other examples of parallelism include overexpression of cellular homeostasis and sugar metabolism genes. Finally, this study brings out the role of low-temperature on yeast physiology during second-fermentation.

2011-05-31 | GSE29273 | GEO

Homo sapiens strain:not provided | breed:not provided | cultivar:not provided

Project description:Homo sapiens strain:not provided | breed:not provided | cultivar:not provided Genome sequencing

| PRJNA981136 | ENA

The response of Saccharomyces cerevisiae to stress throughout a 15-day wine fermentation

Project description:We used genome-wide expression analyses to study the response of Saccharomyces cerevisiae to stress throughout a 15-day wine fermentation. Forty percent of the yeast genome significantly changed expression levels to mediate long-term adaptation to an environment in which ethanol is both a stressor and a carbon source. Within this set, we identify a group of 223 genes, designated as the Fermentation Stress Response (FSR), that are dramatically and permanently induced; FSR genes exhibited changes ranging from four-to eighty-fold. The FSR is novel; 62% of the genes involved have not been implicated in global stress responses and 28% of the genes have no functional annotation. Genes involved in respiratory metabolism and gluconeogenesis were expressed during fermentation despite the presence of high concentrations of glucose. Ethanol, rather than nutrient depletion, was responsible for entry of yeast cells into stationary phase. Ethanol seems to regulate yeast metabolism through hitherto undiscovered regulatory networks during wine fermentation. Keywords: time course, stress response, fermentation

2008-04-17 | GSE8536 | 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