Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated multi-omics reveals putative biomarkers of bacterial-fungal co-infections

ABSTRACT: Integrated multi-omics reveals putative biomarkers of bacterial-fungal co-infections

PROVIDER: PRJNA818612 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18430050.fastq.gz	Fastqsanger.gz
	SRR18430051.fastq.gz	Fastqsanger.gz
	SRR18430052.fastq.gz	Fastqsanger.gz
	SRR18430053.fastq.gz	Fastqsanger.gz
	SRR18430054.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 9

Similar Datasets

Integrated multi-omics reveals putative biomarkers of bacterial-fungal co-infections

Project description:Transcriptomic analysis of Aspergillus fumigatus and Klebsiella pneumoniae grown as single and mixed biofilms.

2022-03-24 | GSE199079 | GEO

An integrated multi-omics analysis of identiﬁes distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa

Project description:Pseudomonas aeruginosa (P. aeruginosa) can cause severe acute infections, including pneumonia and sepsis, and also cause chronic infections commonly in patients with structural respiratory diseases. However, the molecular and pathophysiological mechanisms of P. aeruginosa respiratory infection are largely unknown. Here, we profiled performed to assay for transposase-accessible chromatin using sequencing (ATAC-seq), transcriptomics, and quantitative mass spectrometry-based proteomics and ubiquitin-proteomics in P. aeruginosa-infected lung tissues for multi-omics analysis, while ATAC-seq and transcriptomics were also examined in P. aeruginosa-infected mouse macrophages. To find the pivotal transcription factors that are likely involved in host immune defense, we integrally investigated systematic changes in chromatin accessibility and gene expression in P. aeruginosa-infected lung tissues combined with proteomics and ubiquitin-proteomics studies. We discovered that Stat1 and Stat3 were altered in various omics and found similar results in mouse alveolar macrophages. Taken together, these findings indicate that these crucial transcription factors and their downstream signaling molecules play a critical role in the mobilization of host immune response against P. aeruginosa infection and may serve as potential targets for bacterial infections and inflammatory diseases, as well as provide clear insights and resources for using integrative histological analyses.

2023-07-27 | GSE233206 | GEO

Integrated analysis of omics profiles

Project description:This SuperSeries is composed of the following subset Series: GSE32691: Autoantibody profile timecourse of UNK GSE32874: Personal Omics Profiling Reveals Dynamic Molecular Phenotypes and Actionable Medical Risks Refer to individual Series

2012-03-16 | E-GEOD-33029 | biostudies-arrayexpress

Long noncoding RNA as putative biomarkers for protstate cancer detection

Project description:Long noncoding RNA as putative biomarkers for protstate cancer detection

| PRJNA241295 | ENA

Resolving the temporal and spatial splenic proteome during fungal infection for putative dual perspective biomarker discovery

Project description:Fungal pathogens are emerging threats to global health and the rise of incidence is associated with climate change and increased geographical distribution; factors also influencing host susceptibility to infection. Accurate detection and diagnosis of fungal infections is paramount to align options for rapid and effective therapeutic treatments. For improved diagnostics, the discovery and development of biomarkers presents a promising avenue; however, this approach requires a priori knowledge of markers of infection. To uncover putative novel biomarkers of disease, profiling of the host immune response and pathogen virulence factor production is indispensable. In this study, we use mass spectrometry-based proteomics to resolve the temporal and spatial proteomes of Cryptococcus neoformans infection of the spleen following a murine model of infection. Dual perspective proteome profiling defines global remodeling of the host over a time course of infection, confirming activation of immune associated proteins connected to fungal infections. Conversely, pathogen proteomes detect well-characterized C. neoformans virulence determinants, along with novel mapped patterns of pathogenesis during progression of disease. Together, our systematic approach confirms immune protection against fungal pathogens and explores the discovery of putative biomarkers from complementary biological systems for monitoring the presence and progression of cryptococcal disease.

2023-05-23 | PXD040868 | Pride

An integrated multi-omics analysis of identiﬁes distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa

2023-07-27 | PXD038001 | Pride

An integrated multi-omics analysis of identiﬁes distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa

2023-07-27 | PXD042381 | Pride

Multi-Omics Biomarkers in IBD

Project description:An exploratory analysis of potential multi-omics biomarkers and patterns for response to vedolizumab in IBD

| PRJEB55125 | ENA

Identification of putative biomarkers for Infantile Hemangiomas and Propanolol treatment via data integration

Project description:Infantile hemangiomas are the most common type of benigh tumors in early childhood, and propanolol is a standard treatment with yet unknown mechanism of action. In this study, we identify putative biomarkers for infantile hemangioma stages (proliferative and involution) in the context of propanolol treatment.

2019-03-01 | GSE127487 | GEO

Integrated multi-omics analysis

Project description:Integrated multi-omics analysis

| PRJNA1069651 | ENA