SOURCE is a trans-disciplinary project
that explore mechanisms behind the many diverse
forms of life that surrounds us. We use mathematical models and computer simulations
to mimic life phenomena, from gene regulation inside cells
to interactions between viruses and their host.
The methodology is from theoretical physics used to study life, in particular the ability of life
take many different forms.
SOURCE is basic research with computers as primary tool, with implications manipulations of ourselves and diseases that may attack us.
Our models of organ formations is associated to synthetic formation of organs,
whereas bacterial viruses caries important clues about our own infectious diseases.
SOURCE is divided in work packages:
WP1 focus on cell differentiation, how cells keep their identity (epigenetics), an
how many cells build organs. Both topics is deeply connected to how a organism keep
order within its organization, and the research thus couples to cancer where there
is disorder in both gene regulation and cell cooperation. Cancer cell often loose their
polarity, and a major part of WP1 study how cell polarity helps maintain biological shapes.
WP2 is on ecosystems. Here we focus on microbial systems where phages and bacteria
teaches us how spatial organization is part of way that virus spread is limited and host
population maintained. This interplay host properties like the receptor density and spread
of a virus may teach us about viral dynamics inside our body, where for example the lethality
of Covid-19 correlates negatively with amount of the Ace2 receptors in host cells.
WP3 deals directly with epidemics, a topic that suddenly (just after the current reporting
period ended), turned out to be hugely important for society. Questions like why
standard epidemic models (SEIR) typically overestimate the final attack rate is
important for guiding policy decisions during a real epidemic.
In a broad perspective we aim to understand
life as a self organized phenomenon that can be understood from a few basic principles.
Understanding self guiding processes in biology can help us to guide and use them in
battling diseases.