Search

This article explores the emergence of molecular approaches in German genetic research during the 1958-1968 decade as a period of contingency and alternative possibilities. We introduce "Narratives of Contingency" as an analytical framework to examine how scientists construct a specific narrative - linking past experiences with expectations of future conditions - in order to outline and navigate pathway-decisions in the present. We apply this framework to Hans-Jörg Rheinberger's developmental model of molecular genetics and illustrate how the stages he identifies - the direction of the field, institutional developments, and epistemological demarcations - were already central themes in the comparative practices underlying narratives of contingency in this early period. Narratives of contingency can thus serve as a systematic framework for analyzing the processes through which new scientific fields, institutions, and epistemic horizons emerge, and possibly also for identifying historically plausible fork moments or alternative pathways not taken., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Tree diagrams are the prevailing form of visualization in biological classification and phylogenetics. Already during the time of the so-called Systematist Wars from the mid-1960s until the 1980s most journal articles and textbooks published by systematists contained tree diagrams. Although this episode of systematics is well studied by historians and philosophers of biology, most analyses prioritize scientific theories over practices and tend to emphasize conflicting theoretical assumptions. In this article, I offer an alternative perspective by viewing the conflict through the lens of representational practices with a case study on tree diagrams that were used by numerical taxonomists (phenograms) and cladists (cladograms). I argue that the current state of molecular phylogenetics should not be interpreted as the result of a competition of views within systematics. Instead, molecular phylogenetics arose independently of systematics and elements of cladistics and phenetics were integrated into the framework of molecular phylogenetics, facilitated by the compatibility of phenetic and cladistic practices with the quantitative approach of molecular phylogenetics. My study suggests that this episode of scientific change is more complex than common narratives of battles and winners or conflicts and compromises. Today, cladograms are still used and interpreted as specific types of molecular phylogenetic trees. While phenograms and cladograms represented different forms of knowledge during the time of the Systematist Wars, today they are both used to represent evolutionary relationships. This indicates that diagrams are versatile elements of scientific practice that can change their meaning, depending on the context of use within theoretical frameworks., (© 2024. The Author(s).)

Max Delbrück (1906-1981) attended the University of Gottingen, where he studied astrophysics initially, switching later to theoretical physics. He earned his PhD in physics from Gottingen in 1930. Delbruck then moved to England and Denmark. It was during this time that he met Niels Bohr and his argument that quantum mechanics might have a wider application to biology-inspired Delbruck to pursue biology., (© Journal of the Association of Physicians of India 2024.)

Over the past century, the scientific conception of the protein has evolved significantly. This paper focuses on the most recent stage of this evolution, namely, the origin of the dynamic view of proteins and the challenge it posed to the static view of classical molecular biology. Philosophers and scientists have offered two hypotheses to explain the origin of the dynamic view and its slow reception by structural biologists. Some have argued that the shift from the static to the dynamic view was a Kuhnian revolution, driven by the accumulation of dynamic anomalies, while others have argued that the shift was caused by new empirical findings made possible by technological advances. I analyze this scientific episode and ultimately reject both of these empiricist accounts. I argue that focusing primarily on technological advances and empirical discoveries overlooks the important role of theory in driving this scientific change. I show how the application of general thermodynamic principles to proteins gave rise to the dynamic view, and a commitment to these principles then led early adopters to seek out the empirical examples of protein dynamics, which would eventually convince their peers. My analysis of this historical case shows that empiricist accounts of modern scientific progress-at least those that aim to explain developments in the molecular life sciences-need to be tempered in order to capture the interplay between theory and experiment., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Vaccines are among the greatest tools for prevention and control of disease. They have eliminated smallpox from the planet, decreased morbidity and mortality for major infectious diseases like polio, measles, mumps, and rubella, significantly blunted the impact of the COVID-19 pandemic, and prevented viral induced cancers such as cervical cancer caused by human papillomavirus. Recent technological advances, in genomics, structural biology, and human immunology have transformed vaccine development, enabling new technologies such as mRNA vaccines to greatly accelerate development of new and improved vaccines. In this review, we briefly highlight the history of vaccine development, and provide examples of where advances in genomics and structural biology, paved the way for development of vaccines for bacterial and viral diseases., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

The ancient, interlinked questions about the role of chance in the living world and the origins of life, gained new relevance with the development of molecular biology in the twentieth century. In 1970, French molecular biologist Jacques Monod, joint winner of the 1965 Nobel Prize in Physiology or Medicine, devoted a popular book on modern biology and its philosophical implications to these questions, which was quickly translated into English as Chance and Necessity. Nine years later, Belgian thermodynamicist Ilya Prigogine, 1977 winner of the Nobel Prize in Chemistry, published a popular book on the history and philosophy of natural sciences with Belgian philosopher Isabelle Stengers. Translated into English under the title Order out of Chaos and widely discussed, the whole book can be seen as a response to Monod on these biological and philosophical questions. This study will trace this intellectual controversy between two Nobel Prize winners defending two opposing scientific and philosophical visions of the living world, rooted in two different scientific disciplines., (© 2023. Springer Nature Switzerland AG.)

What can we gain from co-analyzing experimental cultures, regionalization, and disciplinary phenomena of late twentieth century life sciences under our historiographic looking glass? This essay investigates the potential of such a strategy for the case of cell biology after 1960. By merging perspectives from historical epistemology inspired by the work of Hans-Jörg Rheinberger with a focus on boundary work in the realm of scientific publishing, community building, and disciplinary norms, a set of understudied scientific practices is exposed. These practices, historically subsumed under the label descriptive, have been as central in cell biology as hypothesis-driven research aiming at mechanistic explanations of cellular function. Against the background of an increasing molecular-mechanistic imperative in cell biology since the late 1960s, knowledge from descriptive practices was often judged as having low value but was nonetheless frequently cited and considered essential. Investigating the underlying epistemic practices and their interactions with disciplinary gatekeeping phenomena (as policed by journals and learned societies) provides historiographic access to the plurality of experimental cultures of cell biology, scattered into many interdisciplinary research fields-with some of them only partially engaged with mechanistic questions., (© 2022 The Authors. Berichte zur Wissenschaftsgeschichte published by Wiley-VCH GmbH.)

This Reflections article is focused on the 5 years while I was a graduate student (1964-1969). During this period, I made some of the most significant discoveries of my career. I have written this article primarily for a protein biochemistry audience, my colleagues who shared this exciting time in science, and the many scientists over the last 50 years who have contributed to our knowledge of transcriptional machinery and their regulation. It is also written for today's graduate students, postdocs, and scientists who may not know much about the discoveries and technical advances that are now taken for granted, to show that even with methods primitive by today's standards, we were still able to make foundational advances. I also hope to provide a glimpse into how fortunate I was to be a graduate student over 50 years ago in the golden age of molecular biology., Competing Interests: Conflict of interest The author declares that he has no conflicts of interest with the contents of this article., (Copyright © 2021 The Author. Published by Elsevier Inc. All rights reserved.)

Bacterial cytoplasmic membrane vesicles provide a unique experimental system for studying active transport. Vesicles are prepared by lysis of osmotically sensitized cells (i.e., protoplasts or spheroplasts) and comprise osmotically intact, unit-membrane-bound sacs that are approximately 0.5-1.0 μm in diameter and devoid of internal structure. Their metabolic activities are restricted to those provided by the enzymes of the membrane itself, and each vesicle is functional. The energy source for accumulation of a particular substrate can be determined by studying which compounds or experimental conditions drive solute accumulation, and metabolic conversion of the transported substrate or the energy source is minimal. These properties of the vesicle system constitute a considerable advantage over intact cells, as the system provides clear definition of the reactions involved in the transport process. This discussion is not intended as a general review but is concerned with respiration-dependent active transport in membrane vesicles from Escherichia coli . Emphasis is placed on experimental observations demonstrating that respiratory energy is converted primarily into work in the form of a solute concentration gradient that is driven by a proton electrochemical gradient, as postulated by the chemiosmotic theory of Peter Mitchell.

This essay considers how scholarly approaches to the development of molecular biology have too often narrowed the historical aperture to genes, overlooking the ways in which other objects and processes contributed to the molecularization of life. From structural and dynamic studies of biomolecules to cellular membranes and organelles to metabolism and nutrition, new work by historians, philosophers, and STS scholars of the life sciences has revitalized older issues, such as the relationship of life to matter, or of physicochemical inquiries to biology. This scholarship points to a novel molecular vista that opens up a pluralist view of molecularizations in the twentieth century and considers their relevance to current science.

The past 4 decades have seen remarkable advances in our understanding of the structural basis of gene regulation. Technological advances in protein expression, nucleic acid synthesis, and structural biology made it possible to study the proteins that regulate transcription in the context of ever larger complexes containing proteins bound to DNA. This review, written on the occasion of the 50th anniversary of the founding of the Protein Data Bank focuses on the insights gained from structural studies of protein-DNA complexes and the role the PDB has played in driving this research. I cover highlights in the field, beginning with X-ray crystal structures of the first DNA-binding domains to be studied, through recent cryo-EM structures of transcription factor binding to nucleosomal DNA., Competing Interests: Conflict of interest The author is a member of the scientific advisory board of Thermo Fisher Scientific., (Copyright © 2021 The Author. Published by Elsevier Inc. All rights reserved.)

Integrative modeling is an increasingly important tool in structural biology, providing structures by combining data from varied experimental methods and prior information. As a result, molecular architectures of large, heterogeneous, and dynamic systems, such as the ∼52-MDa Nuclear Pore Complex, can be mapped with useful accuracy, precision, and completeness. Key challenges in improving integrative modeling include expanding model representations, increasing the variety of input data and prior information, quantifying a match between input information and a model in a Bayesian fashion, inventing more efficient structural sampling, as well as developing better model validation, analysis, and visualization. In addition, two community-level challenges in integrative modeling are being addressed under the auspices of the Worldwide Protein Data Bank (wwPDB). First, the impact of integrative structures is maximized by PDB-Development, a prototype wwPDB repository for archiving, validating, visualizing, and disseminating integrative structures. Second, the scope of structural biology is expanded by linking the wwPDB resource for integrative structures with archives of data that have not been generally used for structure determination but are increasingly important for computing integrative structures, such as data from various types of mass spectrometry, spectroscopy, optical microscopy, proteomics, and genetics. To address the largest of modeling problems, a type of integrative modeling called metamodeling is being developed; metamodeling combines different types of input models as opposed to different types of data to compute an output model. Collectively, these developments will facilitate the structural biology mindset in cell biology and underpin spatiotemporal mapping of the entire cell., Competing Interests: Conflict of interest The author declares that he has no conflicts of interest with the contents of this article., (Copyright © 2021 The Author. Published by Elsevier Inc. All rights reserved.)

My personal and professional journeys have been far from predictable based on my early childhood. Owing to a range of serendipitous influences, I miraculously transitioned from a rebellious, apathetic teenage street urchin who did poorly in school to a highly motivated, disciplined, and ambitious academic honors student. I was the proverbial "late bloomer." Ultimately, I earned my PhD in biophysical chemistry at Yale, followed by a postdoc fellowship at Berkeley. These two meccas of thermodynamics, coupled with my deep fascination with biology, instilled in me a passion to pursue an academic career focused on mapping the energy landscapes of biological systems. I viewed differential energetics as the language of molecular communication that would dictate and control biological structures, as well as modulate the modes of action associated with biological functions. I wanted to be a "molecular linguist." For the next 50 years, my group and I used a combination of spectroscopic and calorimetric techniques to characterize the energy profiles of the polymorphic conformational space of DNA molecules, their differential ligand-binding properties, and the energy landscapes associated with mutagenic DNA damage recognition, repair, and replication. As elaborated below, the resultant energy databases have enabled the development of quantitative molecular biology through the rational design of primers, probes, and arrays for diagnostic, therapeutic, and molecular-profiling protocols, which collectively have contributed to a myriad of biomedical assays. Such profiling is further justified by yielding unique energy-based insights that complement and expand elegant, structure-based understandings of biological processes., Competing Interests: Conflict of interest The author declares that he has no conflicts of interest with the contents of this article., (Copyright © 2021 The Author. Published by Elsevier Inc. All rights reserved.)

Ever since the first structures of proteins were determined in the 1960s, structural biologists have required methods to visualize biomolecular structures, both as an essential tool for their research and also to promote 3D comprehension of structural results by a wide audience of researchers, students, and the general public. In this review to celebrate the 50th anniversary of the Protein Data Bank, we present our own experiences in developing and applying methods of visualization and analysis to the ever-expanding archive of protein and nucleic acid structures in the worldwide Protein Data Bank. Across that timespan, Jane and David Richardson have concentrated on the organization inside and between the macromolecules, with ribbons to show the overall backbone "fold" and contact dots to show how the all-atom details fit together locally. David Goodsell has explored surface-based representations to present and explore biological subjects that range from molecules to cells. This review concludes with some ideas about the current challenges being addressed by the field of biomolecular visualization., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Collaborative studies open doors to breakthroughs otherwise unattainable by any one laboratory alone. Here we describe the initial collaboration between the Griffith and de Lange laboratories that led to thinking about the telomere as a DNA template for homologous recombination, the proposal of telomere looping, and the first electron micrographs of t-loops. This was followed by collaborations that revealed t-loops across eukaryotic phyla. The Griffith and Tomáška/Nosek collaboration revealed circular telomeric DNA (t-circles) derived from the linear mitochondrial chromosomes of nonconventional yeast, which spurred discovery of t-circles in ALT-positive human cells. Collaborative work between the Griffith and McEachern labs demonstrated t-loops and t-circles in a series of yeast species. The de Lange and Zhuang laboratories then applied super-resolution light microscopy to demonstrate a genetic role for TRF2 in loop formation. Recent work from the Griffith laboratory linked telomere transcription with t-loop formation, providing a new model of the t-loop junction. A recent collaboration between the Cesare and Gaus laboratories utilized super-resolution light microscopy to provide details about t-loops as protective elements, followed by the Boulton and Cesare laboratories showing how cell cycle regulation of TRF2 and RTEL enables t-loop opening and reformation to promote telomere replication. Twenty years after the discovery of t-loops, we reflect on the collective history of their research as a case study in collaborative molecular biology., (Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.)

In 1869, Johann Friedrich Miescher discovered a new substance in the nucleus of living cells. The substance, which he called nuclein, is now known as DNA, yet both Miescher's name and his theoretical ideas about nuclein are all but forgotten. This paper traces the trajectory of Miescher's reception in the historiography of genetics. To his critics, Miescher was a "contaminator," whose preparations were impure. Modern historians portrayed him as a "confuser," whose misunderstandings delayed the development of molecular biology. Each of these portrayals reflects the disciplinary context in which Miescher's work was evaluated. Using archival sources to unearth Miescher's unpublished speculations-including an analogy between the hereditary material and language, and a speculation that a series of asymmetric carbon atoms could account for hereditary variation-this paper clarifies the ways in which the past was judged through the lens of contemporary concerns. It also shows how organization, structure, function, and information were already being considered when nuclein was first discovered nearly 150 years ago.

The viruses of bacteria - bacteriophages - were discovered 20 years after the discovery of viruses. However, this was mainly the bacteriophage research that, after the first 40 years, yielded the modern concept of the virus and to large extent formed the grounds of the emerging molecular genetics and molecular biology. Many specific aspects of the bacteriophage research history have been addressed in the existing publications. The integral outline of the events that led to the formation of the key concepts of modern virology is presented in this review. This includes the opposition of F. d'Herelle and J. Bordet viewpoints over the nature of the bacteriophage, the history of lysogeny discovery and of determination of the mechanisms of underlying this phenomenon, the work of the Phage group led by M. Delbruck in USA, the development of the genetic analysis of bacteriophages and other research that eventually led to emergence of the concept of the virus (bacteriophage) as a transmissive genetic program. The review also covers a brief history of early applications of the bacteriophages such as phage therapy and phage typing.

I am deeply honored to receive the International Society for Experimental Hematology (ISEH) 2020 Donald Metcalf Lecture Award. Although I am not a physician and have had no formal training in hematology, I have had the privilege of working with some of the top hematologists in the world, beginning in 1970 when Dr. David Nathan was a sabbatical visitor in my laboratory and introduced me to hematological diseases.  And I take this award to be given not just to me but to an exceptional group of MD and PhD trainees and visitors in my laboratory who have cloned and characterized many proteins and RNAs important for red cell development and function. Many of these projects involved taking exceptionally large risks in developing and employing novel experimental technologies. Unsurprisingly, all of these trainees have gone on to become leaders in hematology and, more broadly, in molecular cell biology and molecular medicine. To illustrate some of the challenges we have faced and the technologies we had to develop, I have chosen several of our multiyear projects to describe in some detail: elucidating the regulation of translation of α- and β-globin mRNAs and the defect in beta thalassemia in the 1970s; cloning the Epo receptor and several red cell membrane proteins in the 1980s and 1990s; and more recently, determining the function of many microRNAs and long noncoding RNAs in red cell development. I summarize how we are currently utilizing single-cell transcriptomics (scRNAseq) to understand how dividing transit-amplifying burst-forming unit erythroid progenitors balance the need for more progenitor cells with the need for terminally differentiated erythroid cells, and to identify drugs potentially useful in treating Epo-resistant anemias such as Diamond Blackfan anemia. I hope that the lessons I learned in managing these diverse fellows and projects, initially without having grants to support them, will be helpful to others who would like to undertake ambitious and important lines of research in hematology., (Copyright © 2020 ISEH -- Society for Hematology and Stem Cells. Published by Elsevier Inc. All rights reserved.)

During the 1961-1971 decade, Sydney Brenner made several significant contributions to molecular biology-showing that the genetic code is a triplet code; discovery of messenger RNA; colinearity of gene and protein; decoding of chain terminating codons; and then an important transition: the development of the nematode Caenorhabditis elegans into the model eucaryote genetic system that has permeated the whole of recent biology.

Rosalind Franklin provided the key data for deriving the double helix structure of DNA. The English chemist also pioneered structural studies of colloids, viruses, and RNA. To celebrate the 100 th anniversary of Franklin's birth, I summarize her work, which shaped the emerging discipline of molecular biology., (Copyright © 2020 Elsevier Inc. All rights reserved.)

In 1970, John Maynard Smith published a letter, entitled "Natural Selection and the Concept of a Protein Space," that proposed a simple analogy for the incremental process of adaptive evolution. His "Protein Space" analogy contains the substrate for many central ideas in evolutionary genetics, and has motivated important discoveries within several subdisciplines of evolutionary science. In this Perspectives article, I commemorate the 50th anniversary of this seminal work by discussing its unique legacy and by describing its intriguing historical context. I propose that the Protein Space analogy is not only important because of its scientific richness, but also because of what it can teach us about the art of constructing useful and subversive analogies., (Copyright © 2020 by the Genetics Society of America.)

Developments in proximity ligation methods and sequencing technologies have provided high-resolution views of the organization of the genome inside the nucleus. A prominent feature of Hi-C maps is regions of increased self-interaction called topologically associating domains (TADs). Despite the strong evolutionary conservation and clear link with gene expression, the exact role of TADs and even their definition remains debatable. Here, I review the discovery of TADs, how they are commonly identified, and the mechanisms that lead to their formation. Furthermore, I discuss recent results that have created a more nuanced view of the role of TADs in the regulation of genes. In light of this, I propose that when we define TADs, we also consider the mechanisms that shape them., (Copyright © 2019 Elsevier Ltd. All rights reserved.)