Bacteria, fungi, viruses and parasitic metazoans are ubiquitous in the environment and are part of all aspects of human life, from human health to food production. For example, the human microbiome, found on and in our bodies, is estimated to include about ten times more microbes than cells in the human body. In turn, each microbe can trigger various harmful or beneficial effects on humans. This makes the specific detection and monitoring of microbes important for understanding their biological function, especially in infection or colonization of the human body.
In this webinar, we will introduce DNA-based methods for detecting and identifying microbial species and microbial genes, focusing on hydrolysis probe-based assays and digital PCR. We will present the new dPCR Microbial DNA Detection Assay portfolio that enables rapid profiling and identification of microbial species, antibiotic resistance genes and virulence genes from diverse samples. These may include wastewater samples, infectious diseases, human pathogens, the human microbiome, multiple drug resistance, sepsis, food production or environmental samples.

You will learn:

  • How to set up a dPCR microbial DNA detection experiment
  • What targets can be analyzed
  • How to analyze multiple targets in one reaction
  • How to handle viral RNA targets
About the speaker
Dr. Ronny Kellner, R&D Senior Scientist, dPCR
QIAGEN
Dr. Ronny Kellner is an R&D Senior Scientist working on digital PCR assay development at QIAGEN, Hilden, Germany. He completed his Ph.D. in molecular plant-pathogen interaction at the MPI for Terrestrial Microbiology in Marburg and the Ruhr-University of Bochum, Germany. After several international projects in Germany and the UK focusing on microbiology, molecular biology and NGS data analysis, he joined QIAGEN in August 2020. Since then, he has been developing the digital PCR assay portfolio, including applications for pathogen detection.
Date of recording:Tuesday, April 26, 2022
Duration:60 minutes
Categories
Webinar
Academic Basic Research
Pathology
Digital PCR
dPCR
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