Construction of a global map of human gene expression : the process, tools and analysis

This thesis studies human gene expression space using high throughput gene expression data from DNA microarrays. In molecular biology, high throughput techniques allow numerical measurements of expression of tens of thousands of genes simultaneously. In a single study, this data is traditionally obtained from a limited number of sample types with a small number of replicates. For organism-wide analysis, this data has been largely unavailable and the global structure of human transcriptome has remained unknown. This thesis introduces a human transcriptome map of different biological entities and analysis of its general structure. The map is constructed from gene expression data from the two largest public microarray data repositories, GEO and ArrayExpress. The creation of this map contributed to the development of ArrayExpress by identifying and retrofitting the previously unusable and missing data and by improving the access to its data. It also contributed to creation of several new tools for microarray data manipulation and establishment of data exchange between GEO and ArrayExpress. The data integration for the global map required creation of a new large ontology of human cell types, disease states, organism parts and cell lines. The ontology was used in a new text mining and decision tree based method for automatic conversion of human readable free text microarray data annotations into categorised format. The data comparability and minimisation of the systematic measurement errors that are characteristic to each lab- oratory in this large cross-laboratories integrated dataset, was ensured by computation of a range of microarray data quality metrics and exclusion of incomparable data. The structure of a global map of human gene expression was then explored by principal component analysis and hierarchical clustering using heuristics and help from another purpose built sample ontology. A preface and motivation to the construction and analysis of a global map of human gene expression is given by analysis of two microarray datasets of human malignant melanoma. The analysis of these sets incorporate indirect comparison of statistical methods for finding differentially expressed genes and point to the need to study gene expression on a global level.

Social Responsibility in Developing New Biotechnology : Interpretations of Responsibility in the Governance of Finnish Biotechnology

The object of the dissertation is to analyse the concept of social responsibility in relation to research and development of new biotechnology. This is done by examining the relevant actors – researchers, administrators, decision-makers, experts, industry, and the public – involved in the Finnish governance of biotechnology through their roles and responsibilities. Existing practises of responsibility in biotechnology governance, as well as the discourses of responsibility – the actors’ conceptions of their own and others responsibilities – are analysed. Three types of responsibility that the actors have assumed are formulated, and the implications of these conceptions to the governance of new biotechnology are analysed. From these different types of responsibility adopted and used by the actors, theoretical models called responsibility chains are constructed. The notion of responsibility is under-theorised in sociology and this research is an attempt to create a mid-range theory of responsibility in the context of biotechnology governance. The research aims to increase understanding of the governance system from a holistic viewpoint by contributing to academic debates on science and technology policy, public understanding of science, commercialisation of research, and corporate social responsibility. With a thorough analysis of the concept of responsibility that is derived from empirical data, the research brings new perspectives into these debates by challenging many normative ideas embedded in discourses. For example, multiple roles of the public are analysed to highlight the problems of consumerism and citizen participation in practise, as well as in relation to different policy strategies. The research examines also the contradictory responsibilities faced by biotechnology researchers, who balance between academic autonomy, commercialisation of research, and reflecting social consequences of their work. Industries responsibilities are also examined from the viewpoint of biotechnology. The research methodology addresses the contradictions between empirical findings, theories of biotechnology governance, and policies in a novel way, as the study concentrates on several actors and investigates both the discourses and the practises of the actors. Thus, the qualitative method of analysis is a combination of discourse and content analysis. The empirical material is comprised of 29 personal interviews as well as documents by Finnish and multinational organizations on biotechnology governance.

Observation of New Charmless Decays of Bottom Hadrons

We search for new charmless decays of neutral b-hadrons to pairs of charged hadrons with the upgraded Collider Detector at the Fermilab Tevatron. Using a data sample corresponding to 1 fb-1 of integrated luminosity, we report the first observation of the B0s->K-pi+ decay, with a significance of 8.2 sigma, and measure BR(B0s->K-pi+)= (5.0+-0.7(stat)+-0.8(syst))*10^{-6}. We also report the first observation of charmless b-baryon decays in the channels Lambda_b -> p pi and Lambda_b -> pK with significances of 6.0 sigma and 11.5 sigma respectively, and we measure BR(Lambda_b->p pi-) = (3.5+-0.6(stat)+-0.9(syst))*10^{-6} and BR(Lambda_b->p K-) = (5.6+-0.8(stat)+-1.5(syst))*10^{-6}. No evidence is found for the decays B0->K+K- and B0s -> pi+pi-, and we set an improved upper limit BR(B0s -> pi+pi-) K+pi-)$ as a reference.