Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

IAR22_SARS-CoV-2_BALF2 - A collection of cell-type specific constraint-based metabolic SARS-CoV-2 infection models in BALF2

ABSTRACT: A collection of cell-type specific constraint-based metabolic models of human BALF2 cells (bronchoalveolar Lavage fluid cells) infected with SARS-CoV-2 based that were generated based on gene-expression data using a manually curated version of Recon 2 as base model.

SUBMITTER: Andreas Dräger

PROVIDER: MODEL2311070007 | BioModels | 2025-04-07

REPOSITORIES: BioModels

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	MODEL2311070007?filename=SARS-CoV-2_CoreModelsBALF2.omex	Other

Items per page:

1 - 1 of 1

Similar Datasets

iAR22_SARS-CoV-2_BALF1 - SARS-CoV-2 infection models of bronchoalveolar lavage fluid epithelia cells

Project description:A collection of constraint-based metabolic models of bronchoalveolar lavage fluid epithelia cells infected with SARS-CoV-2 based that were generated based on gene-expression data.

2025-04-07 | MODEL2311070001 | BioModels

iAR22_SARS-CoV-2_Calu3 - A collection of cell-type specific constraint-based metabolic models of human Calu-3 cells infected with SARS-CoV-2

Project description:A collection of cell-type specific constraint-based metabolic models of Calu-3 cells (a human lung epithelial cancer cell line) infected with SARS-CoV-2 based that were generated based on gene-expression data.

2025-04-14 | MODEL2311070005 | BioModels

iAR22_SARS-CoV-2_Intestine - Cell-type specific constraint-based metabolic models of intestine cells infected with SARS-CoV-2

Project description:A collection of cell-type specific constraint-based metabolic models of human intestine cells infected with SARS-CoV-2 based that were generated based on gene-expression data.

2025-04-03 | MODEL2311070003 | BioModels

iAR22_SARS-CoV-2_scH1299 - cell-type specific constraint-based metabolic models of human H1299 cells with SARS-CoV-2 infection

Project description:A collection of cell-type specific constraint-based metabolic models of human H1299 cells (human non-small cell lung carcinoma cell line) infected with SARS-CoV-2 based that were generated based on gene-expression data.

2025-04-07 | MODEL2311070004 | BioModels

iAR22_Influenza_Recon2 - A collection of cell-type specific constraint-based metabolic influenza infection models

Project description:A collection of constraint-based metabolic models of human host cells infected with SARS-CoV-2 based that were generated based on gene-expression data.

2025-04-07 | MODEL2311070002 | BioModels

The impact of the anticoagulant type in blood collection tubes on circulating plasma miRNA profiles revealed by small RNA sequencing

Project description:Pre-analytic factors have a significant influence on circulating miRNA profiling. The aim of this study was the comprehensive NGS-based assessment of the impact of anticoagulant type in blood collection tubes on circulating plasma miRNA profiles.

2022-09-07 | GSE200970 | GEO

Structures from "Engineering Neutralizing SARS-CoV Antibodies to Bind SARS-CoV-2"

Project description: Not available

| S-BSST379 | biostudies-other

Wheat collection

Project description:Resistance genes in landrace collection

| PRJEB35692 | ENA

SARS-CoV-2

Project description:SELEX based aptamers: An excellent diagnostic and entry inhibitor therapeutic for SARS-CoV-2

| PRJNA975735 | ENA

COV-ID: A LAMP sequencing approach for high-throughput co-detection of SARS-CoV-2 and influenza virus in human saliva

Project description:We combined RT-LAMP with deep sequencing to detect as few as 5–10 virions of SARS-CoV-2 in unprocessed human saliva. Based on a multi-dimensional barcoding strategy, COV-ID can be used to test thousands of samples overnight in a single sequencing run with limited labor and laboratory equipment. The sequencing-based readout allows COV-ID to detect multiple amplicons simultaneously, including key controls such as host transcripts and artificial spike-ins, as well as multiple pathogens. Here we demonstrate this flexibility by simultaneous detection of 4 amplicons in contrived saliva samples: SARS-CoV-2, influenza A, human STATHERIN, and an artificial SARS spike-in. The approach was validated on clinical saliva samples, where it showed 100% agreement with RT-qPCR. COV-ID can also be performed directly on saliva adsorbed on filter paper, simplifying collection logistics and sample handling.

2021-04-15 | GSE172118 | 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