Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Cricetulus griseus

ABSTRACT: Profiling miRNAs of high, low and non-producing CHO cells during biphasic Fed-Batch cultivations reveal interesting targets for cell line engineering

PROVIDER: PRJNA295392 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR2352960.fastq.gz	Fastqsanger.gz
	SRR2352970.fastq.gz	Fastqsanger.gz
	SRR2352980.fastq.gz	Fastqsanger.gz
	SRR2352951.fastq.gz	Fastqsanger.gz
	SRR2352961.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

Profiling miRNAs of high, low and non-producing CHO cells during biphasic Fed-Batch cultivations reveal interesting targets for cell line engineering

Project description:Fed-batch cultivation of recombinant Chinese hamster ovary (CHO) cell lines is one of the most widely used production mode for commercial manufacturing of recombinant protein therapeutics. Furthermore, fed-batch cultivations are often conducted as biphasic processes where culture temperature is decreased to maximize volumetric product yields. However, it still remains to be elucidated which intracellular regulatory elements actually control the observed pro-productive phenotypes. Recently, several studies have revealed microRNAs (miRNAs) to be important molecular switches of cell phenotypes since single miRNAs are capable of regulating entire physiological pathways. In this study, we analyzed miRNA profiles of two different recombinant CHO cell lines (high and low producer), and compared them to a non-producing CHO DG44 host cell line during fed-batch cultivation at 37 versus 30 °C culture temperature. Taking advantage of next-generation sequencing combined with cluster, correlation and differential expression analyses, we could identify 89 different miRNAs, which might be interesting for CHO cell engineering. Functional validation experiments using 19 validated target miRNAs confirmed that these miRNAs indeed induced changes in process relevant phenotypes such as recombinant protein production, apoptosis, necrosis and proliferation. Furthermore, computational miRNA target prediction combined with functional clustering identified putative target genes and cellular pathways, which might be regulated by these miRNAs. Taken together, our study systematically identified novel target miRNAs during different phases and conditions of a biphasic fed-batch process and functionally evaluated their potential for host cell engineering.

2016-04-03 | GSE72945 | GEO

Profiling miRNAs of high, low and non-producing CHO cells during biphasic Fed-Batch cultivations reveal interesting targets for cell line engineering

Project description:Fed-batch cultivation of recombinant Chinese hamster ovary (CHO) cell lines is one of the most widely used production mode for commercial manufacturing of recombinant protein therapeutics. Furthermore, fed-batch cultivations are often conducted as biphasic processes where culture temperature is decreased to maximize volumetric product yields. However, it still remains to be elucidated which intracellular regulatory elements actually control the observed pro-productive phenotypes. Recently, several studies have revealed microRNAs (miRNAs) to be important molecular switches of cell phenotypes since single miRNAs are capable of regulating entire physiological pathways. In this study, we analyzed miRNA profiles of two different recombinant CHO cell lines (high and low producer), and compared them to a non-producing CHO DG44 host cell line during fed-batch cultivation at 37 versus 30 Â°C culture temperature. Taking advantage of next-generation sequencing combined with cluster, correlation and differential expression analyses, we could identify 89 different miRNAs, which might be interesting for CHO cell engineering. Functional validation experiments using 19 validated target miRNAs confirmed that these miRNAs indeed induced changes in process relevant phenotypes such as recombinant protein production, apoptosis, necrosis and proliferation. Furthermore, computational miRNA target prediction combined with functional clustering identified putative target genes and cellular pathways, which might be regulated by these miRNAs. Taken together, our study systematically identified novel target miRNAs during different phases and conditions of a biphasic fed-batch process and functionally evaluated their potential for host cell engineering. 36 miRNA libraries from three different CHO cell lines and two process condition. In the control run temperature was maintained at 30Â°C, while temperature was reduced to 30Â°C after reaching mid exponential phase

2016-04-03 | E-GEOD-72945 | biostudies-arrayexpress

Cricetulus griseus

Project description:CHO-S transcriptome in batch culture

| PRJNA311594 | ENA

Cricetulus griseus

Project description:Polyploid CHO cells

| PRJDB5897 | ENA

Cricetulus griseus

Project description:RNA-Seq of CHO cell

| PRJNA318886 | ENA

Cricetulus griseus

Project description:Phenobarbital exposed CHO-K1 cells

| PRJDB5737 | ENA

Cricetulus griseus

Project description:CHO cell lines sequence reads

| PRJNA407655 | ENA

Cricetulus griseus

Project description:CHO smallRNA sequencing for microRNA annotation

| PRJNA256330 | ENA

Cricetulus griseus

Project description:Mahafacyclin B exposed CHO-K1 cells

| PRJDB5898 | ENA

Cricetulus griseus

Project description:RNA-sequencing analysis of a wildtype CHO cell line (CHO-K1), a mutant CHO cell line (pgsA745) that lacks xylosyltransferase (XylT) activity, and pgsA745 stably transfected with XylT1 (pgsA745-XylT1).

| PRJNA304606 | ENA

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