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Innate Immunity and Infection
The moment a pathogen, which has successfully entered the body, is recognized, the body quickly mobilizes its defenses. Interferons are molecules that are counted among the body’s first line of defense. They prevent proliferation and the spread of viruses in the body and serve to alert the immune system. Read here about the different ways we use to try and decode this system, all in an effort to find new approaches to infectious disease prevention and therapy.
Computational Biology for Infection Research
The Department of “Computational Biology for Infection Research” studies the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients by analysis of large-scale biological and epidemiological data sets with computational techniques. Focusing on high throughput meta’omics, population genomic and single cell sequencing data, we produce testable hypotheses, such as sets of key sites or relevant genes associated with the presence of a disease, of antibiotic resistance or pathogenic evasion of immune defense. We interact with experimental collaborators to verify our findings and to promote their translation into medical treatment or diagnosis procedures. To achieve its research goals, the department also develops novel algorithms and software.
Single-cell Analysis
Pathogenic bacteria can reside in a mammalian host for a life-long period and chronic carriers form a reservoir leading to recurrent infections. Despite the importance of chronic infections for public health, how a subset of pathogens escape the host’s immune surveillance and how the host contains the spread of bacteria are still poorly understood. Scientists within the Single-Cell Analysis group develop and use single-cell transcriptomics and computational approaches to decipher the microenvironments of individual pathogens and ultimately their functional consequences on infection outcome. This group is located at the Helmholtz Institute for RNA-based Infection Research (HIRI).
Dynamics of Respiratory Infections
Several chronic inflammatory diseases of the lung have been recently associated with alterations in the composition of the airway microbiome. Moreover, the lung microbiota can be classified according to its predominance either of proinflammatory bacteria, such as strains from the genera S taphylococcus, Pseudomonas , and Haemophilus or of low-stimulatory bacteria from genera like Prevotella, Streptococcus , and Veillonella . Moreover, it is already known that the commensal lung microbiota can influence host immune system activation by producing numerous structural ligands and metabolites such as lipopolysaccharide, peptidoglycan, and secondary metabolites. However, the interaction between the lung microbiota and the airway epithelium, as well as their interactions with pulmonary pathogens, are not well understood.
Epidemiology and ecology of antimicrobial resistance
Due to the interconnectedness between humans, animals and the environment, as well as the rapid potential for antimicrobial resistance to spread between bacterial species, we need a One Health approach to adequately address the threat of antibiotic resistance. This department is based at the Helmholtz Institute for One Health .
