Analysing stratified medicine business models and value systems: innovation-regulation interactions

Stratified medicine offers both opportunities and challenges to the conventional business models that drive pharmaceutical R&D. Given the increasingly unsustainable blockbuster model of drug development, due in part to maturing product pipelines, alongside increasing demands from regulators, healthcare providers and patients for higher standards of safety, efficacy and cost-effectiveness of new therapies, stratified medicine promises a range of benefits to pharmaceutical and diagnostic firms as well as healthcare providers and patients. However, the transition from 'blockbusters' to what might now be termed 'niche-busters' will require the adoption of new, innovative business models, the identification of different and perhaps novel types of value along the R&D pathway, and a smarter approach to regulation to facilitate innovation in this area. In this paper we apply the Innogen Centre's interdisciplinary ALSIS methodology, which we have developed for the analysis of life science innovation systems in contexts where the value creation process is lengthy, expensive and highly uncertain, to this emerging field of stratified medicine. In doing so, we consider the complex collaboration, timing, coordination and regulatory interactions that shape business models, value chains and value systems relevant to stratified medicine. More specifically, we explore in some depth two convergence models for co-development of a therapy and diagnostic before market authorisation, highlighting the regulatory requirements and policy initiatives within the broader value system environment that have a key role in determining the probable success and sustainability of these models.     

Host-pathogen interactions: cheating the host by making new connections

Dynamic signaling networks are required to perform complex cellular processes. Structural and functional data now indicate the intriguing possibility that extracellular bacterial pathogens use catalytic scaffolds to assemble unique supramolecular signaling networks that effectively subvert key cellular processes in the host.     

Mouse genomics: making sense of the sequence

Interpretation of the human genome sequence relies on studies of model genetic organisms. Mouse genetics and genomics will help to identify all the genes, and to determine their function.     

Metabolomics and systems biology: making sense of the soup

Novel techniques for acquiring metabolomics data continue to emerge. Such data require proper storage in suitably configured databases, which then permit one to establish the size of microbial metabolomes (hundreds of major metabolites) and allow the nature, organisation and control of metabolic networks to be investigated. A variety of algorithms for metabolic network reconstruction coupled to suitable modelling algorithms are the ground substances for the development of metabolic network and systems biology. Even qualitative models of metabolic networks, when subject to stoichiometric constraints, can prove highly informative, and are the first step to the quantitative models, which alone can allow the true representation of complex biochemical systems.     

BioMEMS: forging new collaborations between biologists and engineers

This video describes the fabrication and use of a microfluidic device to culture central nervous system (CNS) neurons. This device is compatible with live-cell optical microscopy (DIC and phase contrast), as well as confocal and two photon microscopy approaches. This method uses precision-molded polymer parts to create miniature multi-compartment cell culture with fluidic isolation. The compartments are made of tiny channels with dimensions that are large enough to culture neurons in well-controlled fluidic microenvironments. Neurons can be cultured for 2-3 weeks within the device, after which they can be fixed and stained for immunocytochemistry. Axonal and somal compartments can be maintained fluidically isolated from each other by using a small hydrostatic pressure difference; this feature can be used to localize soluble insults to one compartment for up to 20 h after each medium change. Fluidic isolation enables collection of pure axonal fraction and biochemical analysis by PCR. The microfluidic device provides a highly adaptable platform for neuroscience research and may find applications in modeling CNS injury and neurodegeneration.     

Notch pathway: making sense of suppressor of hairless

Suppressor of Hairless (Su(H)) is a DNA-binding protein component of the Notch signalling pathway, thought to be required, with a fragment of the Notch receptor, for target gene activation. Recent studies show that this is only one side of the story: target gene enhancers may be regulated by Su(H) in a variety of different ways.     

Text mining and ontologies in biomedicine: making sense of raw text

The volume of biomedical literature is increasing at such a rate that it is becoming difficult to locate, retrieve and manage the reported information without text mining, which aims to automatically distill information, extract facts, discover implicit links and generate hypotheses relevant to user needs. Ontologies, as conceptual models, provide the necessary framework for semantic representation of textual information. The principal link between text and an ontology is terminology, which maps terms to domain-specific concepts. This paper summarises different approaches in which ontologies have been used for text-mining applications in biomedicine.     

PyCogent: a toolkit for making sense from sequence

We have implemented in Python the COmparative GENomic Toolkit, a fully integrated and thoroughly tested framework for novel probabilistic analyses of biological sequences, devising workflows, and generating publication quality graphics. PyCogent includes connectors to remote databases, built-in generalized probabilistic techniques for working with biological sequences, and controllers for third-party applications. The toolkit takes advantage of parallel architectures and runs on a range of hardware and operating systems, and is available under the general public license from http://sourceforge.net/projects/pycogent.     

The Path to Enlightenment： Making Sense of Genomic and Proteomic Information

Whereas genomics describes the study of genome, mainly represented by its gene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome, which is the protein complement encoded by the genome. In recent years, the number of proteomic experiments increased tremendously. While all fields of proteomics have made major technological advances, the biggest step was seen in bioinformatics. Biological information management relies on sequence and structure databases and powerful software tools to translate experimental results into meaningful biological hypotheses and answers. In this resource article, I provide a collection of databases and software available on the Internet that are useful to interpret genomic and proteomic data. The article is a toolbox for researchers who have genomic or proteomic datasets and need to put their findings into a biological context.     

Host innate immune receptors and beyond: making sense of microbial infections

The complexity of the immune system mirrors its manifold mechanisms of host-microbe interactions. A relatively simplified view was posited after the identification of host innate immune receptors that their distinct mechanisms of sensing "microbial signatures" create unique molecular switches to trigger the immune system. Recently, more sophisticated and cooperative strategies for these receptors have been revealed during receptor-ligand interactions, trafficking, and intra- and intercellular signaling, in order to deal with a diverse range of microbes. Continued mapping of the complex networks of host-microbe interactions may improve our understanding of self/non-self discrimination in immunity and its intervention.     

Cellular associations and the differential spermiogram: making sense of stallion spermatozoal morphology

Morphologic assessment of spermatozoa is one of the most objective measures in a Breeding Soundness Examination of a stallion. There are different systems for morphologic assessment of spermatozoa. The objectives of this article are to review spermatogenesis, describe clinical sample preparation, discuss previous methods of morphologic classification and explain the use of a differential spermiogram. The advantages of the differential spermiogram method of analysis are discussed, along with its use in delineating intrinsic and extrinsic disturbances in spermatogenesis. Case examples of specific cellular associations and their diagnostic relevance are discussed.