ArgumentThis paper examines the role of metaphors in science on the basis of a historical case study. The study explores how metaphors of “genetic information,” “genetic code,” and scripture representations of heredity entered molecular biology and reshaped experimentation during the 1950s and 1960s. Following the approach of the philosopher Hans Blumenberg, I will argue that metaphors are not merely a means of popularization or a specific kind of modeling but rather are representations that can unfold an operational force of their (...) own.While the influence of cybernetics and information theory on molecular biology is well documented in historical analysis throughout recent years, this paper offers new insights into the metaphysical and religious resonances of textual metaphors in the life sciences. The main focus will be on developments in Germany, in particular on the work of the German biochemist Gerhard Schramm. In this historical case study the interaction between metaphors and experimental practices will be discussed. The paper analyzes different phases in the use of metaphors during the 1950s and 1960s: it will explore how the metaphors of a “genetic alphabet” or of “genetic code” developed into a new research program and eventually attained ontological status in the early 1960s. At that time Schramm's use of textual metaphors was reminiscent of nineteenth-century German natural philosophy. In this case, the metaphorical shift shows how the metaphor of a “genetic text” or a “genetic code,” which were central for the emerging molecular biology, drew on older cultural traditions with all of their metaphysical and religious preoccupations. (shrink)

The biological sciences have become increasingly reliant on so-called 'model organisms'. I argue that in this domain, the concept of a descriptive model is essential for understanding scientific practice. Using a case study, I show how such a model was formulated in a preexplanatory context for subsequent use as a prototype from which explanations ultimately may be generated both within the immediate domain of the original model and in additional, related domains. To develop this concept of a descriptive model, I (...) focus on use of the nematode worm Caenorhabditis elegans and the wiring diagrams that were developed as models of its neural structure. In addition, implications of the concept of a descriptive model, particularly its relevance for the data-phenomena distinction as well as its relation to long-standing debates on realism, are briefly examined. (shrink)

The existing literature on the development of recombinant DNA technology and genetic engineering tends to focus on Stanley Cohen and Herbert Boyer's recombinant DNA cloning technology and its commercialization starting in the mid-1970s. Historians of science, however, have pointedly noted that experimental procedures for making recombinant DNA molecules were initially developed by Stanford biochemist Paul Berg and his colleagues, Peter Lobban and A. Dale Kaiser in the early 1970s. This paper, recognizing the uneasy disjuncture between scientific authorship and legal invention (...) in the history of recombinant DNA technology, investigates the development of recombinant DNA technology in its full scientific context. I do so by focusing on Stanford biochemist Berg's research on the genetic regulation of higher organisms. As I hope to demonstrate, Berg's new venture reflected a mass migration of biomedical researchers as they shifted from studying prokaryotic organisms like bacteria to studying eukaryotic organisms like mammalian and human cells. It was out of this boundary crossing from prokaryotic to eukaryotic systems through virus model systems that recombinant DNA technology and other significant new research techniques and agendas emerged. Indeed, in their attempt to reconstitute 'life' as a research technology, Stanford biochemists' recombinant DNA research recast genes as a sequence that could be rewritten thorough biochemical operations. The last part of this paper shifts focus from recombinant DNA technology's academic origins to its transformation into a genetic engineering technology by examining the wide range of experimental hybridizations which occurred as techniques and knowledge circulated between Stanford biochemists and the Bay Area's experimentalists. Situating their interchange in a dense research network based at Stanford's biochemistry department, this paper helps to revise the canonized history of genetic engineering's origins that emerged during the patenting of Cohen-Boyer's recombinant DNA cloning procedures. (shrink)

Collecting, comparing, and computing molecular sequences are among the most prevalent practices in contemporary biological research. They represent a specific way of producing knowledge. This paper explores the historical development of these practices, focusing on the work of Margaret O. Dayhoff, Richard V. Eck, and Robert S. Ledley, who produced the first computer-based collection of protein sequences, published in book format in 1965 as the Atlas of Protein Sequence and Structure. While these practices are generally associated with the rise of (...) molecular evolution in the 1960s, this paper shows that they grew out of research agendas from the previous decade, including the biochemical investigation of the relations between the structures and function of proteins and the theoretical attempt to decipher the genetic code. It also shows how computers became essential for the handling and analysis of sequence data. Finally, this paper reflects on the relationships between experimenting and collecting as two distinct “ways of knowing” that were essential for the transformation of the life sciences in the twentieth century. (shrink)

On 26 June 2000, during the presentation of the Human Genome Project's first draft, Bill Clinton, then President of the United States, claimed that "today we are learning the language in which God created life".1 Behind his remarks lay a story of more than half a century involving the understanding of DNA as information. This paper analyses that story, discussing the origins of the informational view of our genes during the early 1950s, how such a view affected the research on (...) the genetic code (1950s and '60s) and the transformation of the information idea in the context of DNA sequencing and bioinformatics ('80s and '90s). I suggest that the concept of DNA as information reached a climax with the proposal of the Human Genome Project (HGP), but is currently facing a crisis coinciding with the questioning of the information society. Finally, I discuss the emergence of systems biology as an alternative paradigm. (shrink)

This article proposes a new bi-directional way of understanding the convergence of biology and computing. It argues for a reciprocal interaction in which biology and computing have shaped and are currently reshaping each other. In so doing, we qualify both the view of a natural marriage and of a digital shaping of biology, which are common in the literature written by scientists, STS, and communication scholars. The DNA database is at the center of this interaction. We argue that DNA databases (...) are spaces of convergence for computing and biology that change in form, meaning, and function from the 1960s to the 2000s. The first part of the article shows how, in the 1980s, DNA sequencing shifted from passively incorporating computers to be increasingly modeled in digital coding and decoding. Information retrieval algorithms, reciprocally, were altered according to the peculiarities of DNA in the first sequence-storage databases. The second part of the article investigates the impact of these reciprocal interactions and globalization on the organization of research centers, ways of conducting big science, and scientific values. Through convergence and new technologies such as data mining, biology and computing were transformed technologically, institutionally, and culturally into a new bio-data enterprise called genomics. (shrink)

Fred Sanger, the inventor of the first protein, RNA and DNA sequencing methods, has traditionally been seen as a technical scientist, engaged in laboratory bench work and not interested at all in intellectual debates in biology. In his autobiography and commentaries by fellow researchers, he is portrayed as having a trajectory exclusively dependent on technological progress. The scarce historical scholarship on Sanger partially challenges these accounts by highlighting the importance of professional contacts, institutional and disciplinary moves in his career, spanning (...) from 1940 to 1983. This paper will complement such literature by focusing, for the first time, on the transition of Sanger’s sequencing strategies from degrading to copying the target molecule, which occurred in the late 1960s as he was shifting from protein and RNA to DNA sequencing, shortly after his move from the Department of Biochemistry to the Laboratory of Molecular Biology, both based in Cambridge (UK). Through a reinterpretation of Sanger’s papers and retrospective accounts and a pioneering investigation of his laboratory notebooks, I will claim that sequencing shifted from the working procedures of organic chemistry to those of the emergent molecular biology. I will also argue that sequencing deserves a history in its own right as a practice and not as a technique subordinated to the development of molecular biology or genomics. My proposed history of sequencing leads to a reappraisal of current STS debates on bioinformatics, biotechnology and biomedicine. (shrink)

Arabidopsis is currently the most popular and well-researched model organism in plant biology. This paper documents this plant's rise to scientific fame by focusing on two interrelated aspects of Arabidopsis research. One is the extent to which the material features of the plant have constrained research directions and enabled scientific achievements. The other is the crucial role played by the international community of Arabidopsis researchers in making it possible to grow, distribute and use plant specimen that embody these material features. (...) I argue that at least part of the explosive development of this research community is due to its successful standardisation and to the subsequent use of Arabidopsis specimen as material models of plants. I conclude that model organisms have a double identity as both samples of nature and artifacts representing nature. It is the resulting ambivalence in their representational value that makes them attractive research tools for biologists. (shrink)

The convergence of developmental biology — embryology — and molecular biology was one of the major scientific events of the last decades of the twentieth century. The transformation of developmental biology by the concepts and methods of molecular biology has already been described. Less has been told on the reciprocal transformation of molecular biology on contact with higher organisms. The transformation of molecular biology occurred at the end of a deep crisis which affected this discipline in the sixties and seventies (...) and which led to a cruel criticism of the preexisting models of gene regulation. Numerous new, sometimes heterodox, models were proposed to describe the level at which gene regulation took place and its underlying mechanisms. The crisis resolved itself at the beginning of the eighties with the rapid accumulation of results from genetic engineering techniques and, above all, a displacement of the descriptive level from the molecule to the cell. This displacement gave molecular biologists the 'explanandum' which had been cruelly lacking during their initial study of higher organisms. The new molecular cell biology is an interfield explanation of living phenomena, relating a description and an interpretation localized at different levels of organization. (shrink)

Understanding how scientific activities use naming stories to achieve disciplinary status is important not only for insight into the past, but for evaluating current claims that new disciplines are emerging. In order to gain a historical understanding of how new disciplines develop in relation to these baptismal narratives, we compare two recently formed disciplines, systems biology and genomics, with two earlier related life sciences, genetics and molecular biology. These four disciplines span the twentieth century, a period in which the processes (...) of disciplinary demarcation fundamentally changed from those characteristic of the nineteenth century. We outline how the establishment of each discipline relies upon an interplay of factors that include paradigmatic achievements, technological innovation, and social formations. Our focus, however, is the baptism stories that give the new discipline a founding narrative and articulate core problems, general approaches and constitutive methods. The highly plastic process of achieving disciplinary identity is further marked by the openness of disciplinary definition, tension between technological possibilities and the ways in which scientific issues are conceived and approached, synthesis of reductive and integrative strategies, and complex social interactions. The importance – albeit highly variable – of naming stories in these four cases indicates the scope for future studies that focus on failed disciplines or competing names. Further attention to disciplinary histories could, we suggest, give us richer insight into scientific development. (shrink)