Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study


ABSTRACT: Sepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcripti

ORGANISM(S): Homo sapiens

SUBMITTER: Andreas Dix 

PROVIDER: E-GEOD-65088 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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