Extracting quantitative information from tissue—An industrial perspective

Abstract

The focus of this article is to provide an overview of the current technologies for the pharmaceutical and biotech industry. Disease processes express themselves in the functional and structural disturbance of cellular systems. Cells and their metabolites constitute the building blocks of tissues and entire organisms. Studying the spatial and temporal phenotype of disease processes in tissues at the cellular level reveals a multitude of information about the progress and status of a disease. Detailed exploration of tissues by slide‐based cytometry is an important source of information about disease processes. Technological and analytical advances allow us to shed a new light on tissues and to come to a better understanding of the complexity of disease processes. Dealing with complex multidimensional datasets from tissue samples requires an advanced approach to image processing and data management. The increase in computing power and the continuing research into imaging algorithms allow us to improve the exploration of the data content of tissues. © 2006 International Society for Analytical Cytology

Focusing experimentally on polyploidy in physiology and pathology of mammals

“…These articles, indeed, stress that it is important (i) to gain "the most detailed quantitative data from biological specimens" (TARNOK 2006) and (ii) to extract quantitative information from tissue by image analysis ( VAN OsTA 2006). Subsequently, the 2007 January issue of Genomics published a paper elucidating by new methods the functional significance of multiple duplication of genome in somatic cells (ANATSKAJA AND VINOGRADOV 2007).…”

Personalised treatment of haematological malignancies through systems medicine based on single molecules in single cells

“…10 Systems biology related procedures provide a mathematical perspective to top-down, middle-out and bottom-up 'omics' data and hypotheses that help to identify function at each organizational and hierarchical level. 15 These three terms each differ in (i) the use of systems-wide data where a global analysis is used to describe the components of the organism (or cell), (ii) selection of components with a known functional involvement and (iii) the use of highly characterized networks to develop improved understanding of the biological system and production of predictive models for improving drug design, respectively. Rooted in proteome and metabolome analytics for helping to deconvolute complex data sets and help to relate molecules to function, systems biology has been an academic discipline largely dedicated to deciphering the control mechanisms existing within model organisms such as yeast and has developed tools for data integration.…”

Slide‐based cytometry for cytomics—A minireview

“…From the perspective of the industry, extracting quantitative information from tissue is of eminent value. Van Osta et al (23) provides an overview of current technologies for the pharmaceutical and biotech industry. Disease processes express themselves in the functional and structural disturbance of cellular systems.…”

“…Cytomics is bioinformatic knowledge extraction from a large amount of structural and functional information by molecular cell phenotype analysis of tissues, organs, and organisms at the single‐cell level by image or flow cytometry (5). Areas of research and diagnosis with the demand to virtually measure “anything” in the cell include immunophenotyping (7–9), rare cell detection (10) and characterization in the case of stem cells (11–14) and residual tumor cells (15–17), tissue analysis (18–21), and drug discovery (22, 23). Systemic analysis is also a prerequisite for predictive medicine by genomics, proteomics, and cytomics.…”