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Practical Systems Biology provides a detailed overview of the different approaches used in this relatively new discipline, integrating bioinformatics, genomics, proteomics and metabolomics. Various areas of research are also discussed, including the use of computational models of biological processes, and post-genomic research.
International development policy is responsible for much of the destruction of Central and Latin American rainforests. This explores how indigenous women are at last turning their voices to action, demanding grassroots strategies as the solution.
Disrupting Maize undertakes a critical interrogation of maize, the staple food and symbol of the Mexican nation. As the centre of origin and genetic diversification of maize, the Mexican territory is regarded today as being under threat of irreversible ‘contamination’ by genetically engineered maize, an imported biotechnological product. When the first evidences of such ‘contamination’ were found in 2001, an anti-GM movement was born that quickly became articulated as a defence of cultural identity and national sovereignty. Disrupting Maize mobilizes contemporary theoretical resources in a critical examination of the cultural politics at work in the Mexican defence of maize. From such an examination ‘biotechnological disruption’ emerges provocatively as constitutive of Mexican nationalism rather than externally imposed to it by corporate players. Furthermore, it is provocatively conceptualized as a gift, that is, as the promise of a more democratic Mexico.
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In Bioethics in Perspective Scott Mann demonstrates the importance of issues of corporate power, global inequality and sustainability in shaping health outcomes around the world. The text develops a comprehensive ethical and practical critique of the neoliberal economic ideas which have guided policy in the English-speaking world. It explores the consequences of such policies for health and healthcare around the world, in terms of increasing health inequalities, serious food and water shortages, inadequate health care provision and the marketing of dangerous and unnecessary drugs. With clear proposals for political and economic reform to effectively address these problems, Bioethics in Perspective provides an important counterbalance to much conventional commentary on bioethics. It takes readers with little or no prior knowledge of ethics, economics or medicine quickly and easily into advanced debates and discussions about the causes and consequences of health and illness around the world.
Stable, predictive biomarkers and interpretable disease signatures are seen as a significant step towards personalized medicine. In this perspective, integration of multi-omic data coming from genomics, transcriptomics, glycomics, proteomics, metabolomics is a powerful strategy to reconstruct and analyse complex multi-dimensional interactions, enabling deeper mechanistic and medical insight. At the same time, there is a rising concern that much of such different omic data –although often publicly and freely available- lie in databases and repositories underutilised or not used at all. Issues coming from lack of standardisation and shared biological identities are also well-known. From thes...
Natural diversity has been extensively used to understand plant biology and improve crops. However, studies were commonly based on visual phenotypes or on a few measurable parameters. Nowadays, a large number of parameters can be measured thanks to next generation sequencing, metabolomics, proteomics, and transcriptomics thus providing an unprecedented resolution in the detection of natural diversity. This enhanced resolution offers new possibilities in terms of understanding plant biology. Technology advances also contribute to a better assessment of the biodiversity loss currently taking place. Hence, the topic presents an overview on efforts for maintaining biological diversity in crops, on possibilities offered by recent technologies in the assessment of natural variation, and ends with examples of the diversity found even at the cellular level.
The genus Brassica is comprised of diploid and tetraploid species and includes many important crop plants. Several Brassica genomes have been sequenced are the subject of intensive investigation. The immediate impetus for a special Research Topic is the publication of genome sequence of B. rapa . B. rapa is of relatively recent paleopolyploid origin. Its triplicated genome is old enough such that the three genomes have diverged significantly, and young enough such that useful comparisons can be made using Arabidopsis thaliana as an out group, making the B. rapa genome an interesting model for comparative genomics and the analysis of genome evolution. Analysis of B. rapa is also informed by analyses of other Brassica genomes, and reciprocally, understanding of those genomes will be informed by comparisons with the B. rapa genome. We welcome all types of articles on subjects including comparative genomics, genome evolution, and functional genomics, as well as analyses of specific gene families or genes in specific pathways and utilization of genomic data in molecular breeding of Brassica species.
Mathematical models have become invaluable tools for understanding the intricate dynamic behavior of complex biochemical and biological systems. Among computational strategies, logical modeling has been recently gaining interest as an alternative approach to address network dynamics. Due to its advantages, including scalability and independence of kinetic parameters, the logical modeling framework is becoming increasingly popular to study the dynamics of highly interconnected systems, such as cell cycle progression, T cell differentiation and gene regulation. Novel tools and standards have been developed to increase the interoperability of logical models, which can now be employ to respond a variety of biological questions. This Research Topic brings together the most recent and cutting-edge approaches in the area of logical modeling including, among others, novel biological applications, software development and model analysis techniques.