Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Zhang2017 - Model iCW773 of Corynebacterium glutamicum ATCC 13032 (Bielefeld)

ABSTRACT: This model of Corynebacterium glutamicum was initially published by Y. Zhang et al. (DOI: 10.1186/s13068-017-0856-3. PMID: 28680478; PMCID: PMC5493880) and published in Microsoft Excel Spreadsheet format. M. Feierabend and A. Renz et al. converted this model into SBML Level 3 Version 1 with the SBML extension packages for groups and flux-balance constraints using all information given in the original publication driven by the aim to make this model accessible to the research community. Subsequently, M. Feierabend and A. Renz et al. carefully curated and annotated the model following the MIRIAM guidelines and added specific SBO terms to it.

SUBMITTER: Andreas Dräger

PROVIDER: MODEL2110010001 | BioModels | 2021-11-12

REPOSITORIES: BioModels

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	MODEL2110010001?filename=iCW773.omex	Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression patterns of pediocin-producing Corynebacterium glutamicum strains

Project description:Strains: non-producing refernece strain pXMJ19 (CR099 pXMJ19; Goldbeck et al., 2021) and Pediocin-producer pxMJ19 ped (CR099 pXMJ19 Ptac pedACDCg, Goldbeck et al., 2021) Pediocin-producing and non-producing strains of Corynebacterium glutamicum were compared in a whole genome microarray analysis setup in order to identify potential strain optimization targets

2023-03-08 | GSE220713 | GEO

AltitudeOmics methylation data

Project description:Acclimatization to high altitude over 21 days, and upon re-ascent 7 and 21 days post-descent. See Subudhi et al. (2014) PLOS ONE 9(3):e92191, PMCID PMC3962396 for experiment details.

2017-10-19 | GSE105123 | GEO

AltitudeOmics microRNA expression data

Project description:Acclimatization to high altitude over 21 days, and upon re-ascent 7 and 21 days post-descent. See Subudhi et al. (2014) PLoS One 9(3):e92191, PMCID PMC3962396, PMID 24658407 for experiment details.

2017-11-03 | GSE106527 | GEO

AltitudeOmics gene expression data

2017-09-16 | GSE103927 | GEO

linking-EGAS00001001937-into-EGAS00001001656 - samples

Project description:part of the DEEP project results resulted in the publication of 'Integrative analysis of single-cell expression data reveals distinct regulatory states in bidirectional promoters', Epigenetics & Chromatin (2018), Fatemeh et al., DOI: 10.1186/s13072-018-0236-7, PMID: 30414612, PMCID: PMC6230222. This dataset contains the subset of DEEP data related to that study.

| EGAD00001005953 | EGA

Re-analysis of an ultra-deep and quantitative saliva proteome

Project description:This is a re-analysis of the saliva metaproteome dataset by Grassl et al. (Grassl et al. 2016 Genome Med, 8(1):44 DOI: 10.1186/s13073-016-0293-0) available on ProteomeXchange PXD003028. The data was used as a case study for a method development study in which we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We used the fraction data from the original study for individuals 1 (female1), 3 (female3), 5 (male1), and 7 (male3).

2017-05-12 | PXD006366 | Pride

Comparative LC/MS-based profiling of L-arginine producing, canavanine resistant Corynebacterium glutamicum strain ATCC 21831 and type strain ATCC 13032

Project description:Corynebacterium glutamicum strain ATCC 21831 is a producer of L-arginine that was created by random mutagenesis. It is resistant to the arginine structural analogue canavanine. In order to identify potential bottlenecks in the biosynthetic pathway that leads to this industrially important amino acid, relative metabolite abundances of biosynthetic intermediates were determined in comparison to the type strain ATCC 13032. An extract of U13C-labeled biomass was used as internal standard, to correct for different ionization efficiencies. Metabolites were identified using the ALLocator web platform.

2015-10-06 | MTBLS128 | MetaboLights

Exploring the secretome of Corynebacterium glutamicum ATCC 13032

Project description:The demand for alternative sources of food proteins is increasing due to the limitations and challenges associated with conventional food production. Advances in biotechnology have enabled the production of proteins using microorganisms, thus prompting the exploration of attractive microbial hosts capable of producing functional proteins in high titers. Corynebacterium glutamicum is widely used in industry for the production of amino acids and has many advantages as a host organism for recombinant protein production. However, its performance in this area is limited by low yields of target proteins and high levels of native protein secretion. Despite representing a challenge for heterologous protein production, the C. glutamicum secretome has not been fully characterized. In this study, state-of-the-art mass spectrometry-based proteomics was used to identify and analyze the proteins secreted by C. glutamicum. Both the wild-type strain and a strain that produced and secreted a recombinant ß-lactoglobulin protein were analyzed. A total of 427 proteins were identified in the culture supernatants, with 148 predicted to possess a secretion signal peptide. The top 12 most abundant proteins accounted for almost 80% of the secretome. These are uncharacterized proteins of unknown function, resuscitation promoting factors, protein PS1, Porin B, ABC-type transporter protein and hypothetical membrane protein. The data from this study can provide valuable insight for researchers looking to improve protein secretion and optimize C. glutamicum as a host for secretory protein production.

2024-01-18 | PXD047109 | Pride

SeaIce, Espegrend, Microscosm, Mnemi

Project description:454 dataset for Hosia, et al. Torstensson et al. Dinasquet et al.

| PRJEB7907 | ENA

MicroRNA microarray of Haemonchus contortus lifecycle stages and gut tissue

Project description:Examined expression of microRNAs in different life-cycle stages and gut tissue of the pathogenic nematode Haemonchus contortus and identified differentially expressed miRNAs. Custom array contained probes to 609 Haemonchus contortus miRNA sequence (all mature and start miRNAs identified by Winter et al., 2012, BMC Genomics13:4; DOI: 10.1186/1471-2164-13-4) and all C. elegans sequences in miRBase release 16

2017-11-07 | GSE101501 | 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