Synthetic biology between technoscience and thing knowledge

Tissue culture and biological time: Alexis Carrel, Henri Bergson and the plasticity of living matter

Taking the early tissue culture experiments of Alexis Carrel in the 1910s–1930s as its example, the article explores the relationship between advances in biotechnological control over living matter and a holistic ontology of life, which stresses the temporal specificity of living things. With reference to Henri Bergson, Carrel argued that physiological time depends on an organism’s relationship to its milieu. By developing a laboratory apparatus and culture media, new objects of investigation could be made to live outside the organism and be brought to behave in novel temporal ways. In difference to recent biotechnological advances, like for example genome editing, which seek to ‘engineer’ living organisms by rebuilding them from their DNA up, then, early twentieth century interventionist laboratory practices were often linked to an understanding that biological plasticity results from organismic complexity and interactions between organism and milieu. These notions contributed to shaping laboratory apparatuses and techniques; they also helped to establish an understanding of environmental control that would allow for the production of novel ‘living things’.

The simulation approach in synthetic biology

Synthetic biology and systems biology are often highlighted as antagonistic strategies for dealing with the overwhelming complexity of biology (engineering versus understanding; tinkering in the lab versus modelling in the computer). However, a closer view of contemporary engineering methods (inextricably interwoven with mathematical modelling and simulation) and of the situation in biology (inextricably confronted with the intrinsic complexity of biomolecular environments) demonstrates that tinkering in the lab is increasingly supported by rational design methods. In other words: Synthetic biology and systems biology are merged by the use of computational techniques. These computational techniques are needed because the intrinsic complexity of biomolecular environments (stochasticity, non-linearities, system-level organization, evolution, independence, etc.) require advanced concepts of bio bricks and devices. A philosophical investigation of the history and nature of bio parts and devices reveals that these objects are imitating generic objects of engineering (switches, gates, oscillators, sensors, etc.), but the well-known design principles of generic objects are not sufficient for complex environments like cells. Therefore, the rational design methods have to be used to create more advanced generic objects, which are not only generic in their use, but also adaptive in their behavior. Case studies will show how simulation-based rational design methods are used to identify adequate parameters for synthesized designs (stability analyses), to improve lab experiments by 'looking through noise' (estimation of hidden variables and parameters), and to replace laborious and time-consuming post hoc tweaking in the lab by in-silico guidance (in-silico variation of bio brick properties). The overall aim of these developments, as will be argued in the discussion, is to achieve adaptive-generic instrumentality for bio parts and devices and thus increasingly merging systems and synthetic biology.