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

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

PROVIDER: PRJNA735648 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14746800_1.fastq.gz	Fastqsanger.gz
	SRR14746800_2.fastq.gz	Fastqsanger.gz
	SRR14746900_1.fastq.gz	Fastqsanger.gz
	SRR14746900_2.fastq.gz	Fastqsanger.gz
	SRR14747000_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 1266

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

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

2021-06-08 | GSE176260 | 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

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

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

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

2016-01-20 | GSE63990 | GEO

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

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-06-08 | GSE176262 | GEO

Viral Detection Microarray Analysis of Unknown Tropical Febrile Illness Cases

Project description:This study aimed to use pan-viral detection microarrays to identify viruses in serum from cases of acute pediatric febrile illness in a tropical setting. Patient clinical data and serum samples were collected between 2005 and 2009 as part of an ongoing pediatric dengue virus study at the Hospital Infantil Manuel de Jesús Rivera in Managua, Nicaragua. This study focused on patients who presented with dengue-like illness but who tested negative for dengue-virus infection. We hypothesized that non-dengue viruses or previously uncharacterized viruses might be causing these illnesses. The Virochip microarray is capable of detecting known viruses and discovering novel viruses. This series includes 153 arrays corresponding to 148 cases and 5 HeLa controls. Keywords: viral detection, tropical febrile illness, dengue virus, Nicaragua, Virochip From each serum sample, total nucleic acid was extracted and used to prepare a randomly-primed dsDNA library. These libraries were fluorescently labeled and hybrized to Virochip arrays.

2011-12-31 | E-GEOD-28142 | biostudies-arrayexpress

Viral Detection Microarray Analysis of Unknown Tropical Febrile Illness Cases

2011-12-31 | GSE28142 | GEO

Host-response Transcriptional Biomarkers Accurately Discriminate Bacterial and Viral Infections by Global Pathogens

Project description:Global endemic infections, such as leptospirosis, rickettsial diseases, and dengue infections present diagnostic challenges, posing a dilemma for antibiotic stewardship worldwide. The goal of this project was to identify accurate transcriptional classifiers able to discriminate between bacterial and viral illness of global pathogens.

2023-12-19 | GSE211567 | 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