The picture of synthetic biology as a kind of engineering science has largely created the public understanding of this novel field, covering both its promises and risks. In this paper, we will argue that the actual situation is more nuanced and complex. Synthetic biology is a highly interdisciplinary field of research located at the interface of physics, chemistry, biology, and computational science. All of these fields provide concepts, metaphors, mathematical tools, and models, which are typically utilized by synthetic biologists by (...) drawing analogies between the different fields of inquiry. We will study analogical reasoning in synthetic biology through the emergence of the functional meaning of noise, which marks an important shift in how engineering concepts are employed in this field. The notion of noise serves also to highlight the differences between the two branches of synthetic biology: the basic science-oriented branch and the engineering-oriented branch, which differ from each other in the way they draw analogies to various other fields of study. Moreover, we show that fixing the mapping between a source domain and the target domain seems not to be the goal of analogical reasoning in actual scientific practice. (shrink)

Gene regulatory networks are intensively studied in biology. One of the main aims of these studies is to gain an understanding of how the structure of genetic networks relates to specific functions such as chemotaxis and the circadian clock. Scientists have examined this question by using model organisms such as Drosophila and mathematical models. In the last years, synthetic models—engineered genetic networks—have become more and more important in the exploration of gene regulation. What is the potential of this new approach (...) in the investigation of gene network structures? How do synthetic models relate to model organisms and mathematical models? (shrink)

This article argues that understanding everyday practices in neurobiological labs requires us to take into account a variety of different action positions: self-conscious social actors, technical artifacts, conscious organisms, and organisms being merely alive. In order to understand the interactions among such diverse entities, highly differentiated conceptual tools are required. Drawing on the theory of the German philosopher and sociologist Helmuth Plessner, the paper analyzes experimenters as self-conscious social persons who recognize monkeys as conscious organisms. Integrating Plessner’s ideas into the (...) stock of concepts used in science and technology studies provides richer descriptions of laboratory life. In particular, this theory allows an understanding of a crucial feature of neurobiological brain research: the construction of the brain as the epistemic object of brain research. As such, the brain must be isolated from the acting and interacting organism in a complicated process. (shrink)