Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness [discovery cohort]

ABSTRACT: Improved diagnostics are necessary to differentiate between multipe potential etiologies of acute illness in a hospitalized patient. The peripheral blood host gene expression response can act as a supplementary diagnostic tool and better inform the full host immune response to a pathogen. We performed RNA sequencing on peripheral blood from 48 hospitalized patients with confirmed candidemia as well as patients with other acute viral, bacterial, and non-infectious illnesses and derived pathogen class-specific gene expression classifiers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE176260 | GEO | 2021/06/08

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness [validation cohort]

Project description:Improved diagnostics are necessary to differentiate between multipe potential etiologies of acute illness in a hospitalized patient. The peripheral blood host gene expression response can act as a supplementary diagnostic tool and better inform the full host immune response to a pathogen. We performed RNA sequencing on peripheral blood from 48 hospitalized patients with confirmed candidemia as well as patients with other acute viral, bacterial, and non-infectious illnesses and derived pathogen class-specific gene expression classifiers.

2021-06-08 | GSE176261 | GEO

Profiling of bacterial respiratory infection, viral respiratory infection, and non-infectious illness

2016-01-20 | GSE63990 | GEO

Profiling of bacterial respiratory infection, viral respiratory infection, and non-infectious illness

Project description:A pressing clinical challenge is identifying the etiologic basis of acute respiratory illness. Without reliable diagnostics, the uncertainty associated with this clinical entity leads to a significant, inappropriate use of antibacterials. Use of host peripheral blood gene expression data to classify individuals with bacterial infection, viral infection, or non-infection represents a complementary diagnostic approach. Patients with respiratory tract infection along with ill, non-infected controls were enrolled through the emergency department or undergraduate student health services. Whole blood was obtained to generate gene expression profiles. These profiles were then used to generate signatures of bacterial acute respiratory infection, viral acute respiratory infection, and non-infectious illness. 273 subjects were ascertained for this analysis. This included 88 patients with non-infectious illness, 115 with viral acute respiratory infection, and 70 with bacterial acute respiratory infection. Samples were obtained at the time of enrollment, which was at initial clinical presentation. Total RNA was extracted from human blood using the PAXgene Blood RNA Kit. Microarray data were generated using the GeneChip Human Genome U133A 2.0 Array. Microarrays were generated in two microarray batches with seven overlapping samples giving rise to 280 total microarray experiments.

2016-01-20 | E-GEOD-63990 | biostudies-arrayexpress

Blood Gene Expression Signatures Predict Invasive Candidiasis

Project description:Focusing on host response to infection, we utilized a murine model to develop aÂ blood gene expression signature that accurately classified mice with candidemia and distinguished candidemia from S. aureus bacteremia.Â Validation of the signature was achieved in an independent cohort of mice. BALB/c male mice were injected with either normal saline, C.albicans, or S.aureus and sacrificed at pre-set time points of 24, 48, 72-96 hrs (Infection Duration). Blood was placed in RNA Later (R) for RNA expression analysis and the right kidney collected for analysis of pathogen burden.

2010-03-09 | E-GEOD-20524 | biostudies-arrayexpress

Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness

Project description:Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness

| PRJNA735648 | ENA

Transcriptional response to bacterial and viral pathogens in patients with acute febrile illness

Project description:Non-specific clinical presentation and lack of sensitive acute-phase diagnostic reagents hinder early recognitiion and manangement of systemic infections. To identify pathogen-specific features of the acute host response to infection we examined genome-wide patterns of whole blood gene expression in febrile patients with well-defined bacterial and viral infections (n=49), as well as health controls (n=12)

2022-12-01 | GSE206829 | GEO

Immune Responses to Influenza-Like Illness

Project description:To investigate the nasal transcriptional response and peripheral plasmablast response in acute influenza infection

2016-07-01 | GSE64346 | GEO

Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness [validation cohort]

Project description:Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness [validation cohort]

| PRJNA735656 | ENA

Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness [discovery cohort]

Project description:Host gene expression profiling of fungal (candidemia), bacterial, and viral infection, and non-infectious illness [discovery cohort]

| PRJNA735653 | ENA

Blood Gene Expression Signatures Predict Invasive Candidiasis

Project description:Focusing on host response to infection, we utilized a murine model to develop a blood gene expression signature that accurately classified mice with candidemia and distinguished candidemia from S. aureus bacteremia. Validation of the signature was achieved in an independent cohort of mice.

2010-02-25 | GSE20524 | 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