Research Group Petter Brodin
Systems immunology analyses for understanding human immune system variation
Introduction - Major research focus
Our group is working to understand human immune system variation between individuals and within individuals over time. We are interested in the factors that determine this variation and in particularly their influence early in life as they imprint on the developing immune system and shape its composition and function for with long-term consequences. We are also interested in understanding how these phenomena relate to the risk of severe infections, malignancies and immune mediated diseases.
To understand systems-level behaviors in the human immune system, we develop and apply novel experimental and data analysis tools that allow for comprehensive analyses of blood samples using mass cytometry, cell sorting and sequencing-based approaches. By simultaneously analyzing all blood cell populations from different individuals over time, their frequencies and functional states, and combining such analyzes with plasma protein measurements, we are aiming for systems-level characterization of this system in order to understand its regulation.
By combining the immune system analyses with microbiome analyses, biometrics and individual exposure data, we are hoping to understand how various influences shape immunity in humans.
More information on our external website: http://www.brodinlab.com/
Petter Brodin, Physician and researcher
Anna-Karin Bernhardsson, Specialist nurse, PhD-candidate
Dieudonné Nkulikiyimfura,Doctoral student
Axel Olin, Doctoral student
Christian Pou, Postdoc
Jaromir Mikes, PhD, Senior scientist
Jun Wang, PhD Chemical physics, Lab engineer
Lakshmikanth Tadepally, PhD Immunology, Research coordinator
Yang Chen, PhD Information science, Senior data scientist
Immune Adaptation to Environmental Influence: The Case of NK Cells and HCMV.
Trends Immunol. 2016 Mar;37(3):233-243
Powerful Populations Respond to Viruses and Vaccines.
Immunity 2015 Dec;43(6):1035-7
Variation in the human immune system is largely driven by non-heritable influences.
Cell 2015 Jan;160(1-2):37-47
Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE).
Proc. Natl. Acad. Sci. U.S.A. 2014 Jan;111(1):202-7
Current perspectives of natural killer cell education by MHC class I molecules.
Nat. Rev. Immunol. 2010 Oct;10(10):724-34
A Role for cis Interaction between the Inhibitory Ly49A receptor and MHC class I for natural killer cell education.
Immunity 2009 Mar;30(3):337-47
NK cell education: not an on-off switch but a tunable rheostat.
Trends Immunol. 2009 Apr;30(4):143-9