Ivan Marazzi
Dr. Marazzi uses a combination of genomics and bioinformatics approaches to characterize regulatory networks at play during viral infection and to understand how disruptions of these networks can lead to tip the balance of disease outcome. Over the course of his career, he has been active in several areas—including coding and non-coding RNA biology, mRNA splicing, epigenetics and regulatory interactions between transcription factors controlling many aspects of innate immunity, from viral infection to co-infection and sepsis models.
Marazzi Lab
Website: Marazzi Lab website
The Marazzi Laboratory (Laboratory of Cellular Response in Health and Disease) studies epigenetic and chromatin-mediated control of gene expression in the context of the cellular response to pathogens or differentiation. We are interested in mechanisms that control the cell’s response. We use biochemistry, genetics, and next generation sequencing techniques to understand molecular mechanisms and genome-wide effects of known and novel candidate genes.
Jeffrey Johnson
Dr. Johnson’s research program focuses on applying quantitative proteomics and bioinformatics approaches to investigate host–pathogen interactions. He has developed methodologies to quantify changes in protein abundance and post-translational modifications, and bioinformatics approaches to prioritize proteomics findings that are likely to have functional significance.
Johnson Lab
Website: Johnson Lab website
Lab Phone: (212) 241-5857 (x45857)
Dr. Jeffrey Johnson, (PI), Associate Professor
Email: jeffrey.johnson@mssm.edu
Prithy Adhikary, Associate Researcher
Christina Higgins, Graduate Student Researcher
Andrew Kurland, Associate Researcher
The Johnson Lab studies how pathogens remodel their host environments.
We aim to discover the molecular mechanisms that pathogens use to takeover a host cell in order to identify weaknesses that can be translated into drug targets. We focus our investigations on how pathogens target host proteins, protein complexes, and pathways, and for this we rely heavily on mass spectrometry-based proteomics technologies. We combine proteomics findings with genetic and molecular biology approaches to generate new hypotheses and test them in the lab.
We also develop proteomics technologies and analysis tools to address the biological questions at hand, and in doing so we hope to make it easier for anyone to use proteomics to interpret their own biological system of interest.