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HCA (High Content Analysis) - Articles and news items
Issue 3 2012, Screening / 10 July 2012 / Anthony Mitchell Davies & Anne Marie Byrne, Department of Clinical Medicine Trinity College Dublin; Holger Erfle, BIOQUANT-Zentrum Ruprecht-Karls-Universität Heidelberg; Graham Donnelly, Rita Murray & Peadar MacGabhann, Biocroi Ltd
One of the major limitations of performing large-scale High Content Analysis (HCA) screens is reagent cost, indeed this fact has been a key driver in the development of assay size reduction strategies here at The Irish National Centre for High Content Screening and Analysis at Trinity College’s Department of Medicine.
As well as the obvious financial advantages of reducing assay volumes, we have also identified other key benefits to this approach, namely: Higher throughput; Improved signal to noise; Suited for the use of valuable cells, e.g. primary cells; Reduced storage and research space; Improved mixing of reagents.
The practicalities of performing cell based assays at the nano-litre scale: Despite the clear benefits to adopting miniaturisation, there are several significant barriers that must be overcome before these methods can be utilised. These are sample delivery / handling and environmental stability.
High-content analysis is primed to play a prominent role in a new era of drug discovery research that places greater emphasis on clinical translation at all stages of the discovery process from target identification to proof-of-concept testing. High content analysis provides a technical bridge between reductionist targetdirected drug discovery approaches and new technologies that embrace the biological diversity of human disease.
The drug discovery industry is evolving rapidly, this evolution is stimulated by two key factors; (i) increased accessibility of new technologies such as next generation sequencing, systems biology and imaging that enhance our ability to interrogate complex biological systems and; (ii) the perceived failure of the widely adopted target directed drug discovery operating model to deliver novel medicines. Thus, high content imaging technologies provide a timely, pragmatic solution that enhances the effectiveness of conventional target-directed chemical approaches and provides the necessary biological context for understanding proteomic or genetic signatures. However, the future success of high-content analysis in improving the clinical success rates of drug discovery projects is entirely dependent upon the physiological relevance of the biological models under evaluation.
Over the last 15 years, vendors have offered microscope-based instruments capable of producing images of fluorescent labelled components of cells grown in microtitre plates. These instruments are typically bundled with analysis software capable of defining the relative distribution of several fluorescent markers on a cell by cell basis1,2. As the readers have improved and image acquisition and analysis times have reduced, the potential for screening larger compound libraries has presented itself. High Content Screening (HCS) i.e. the generation of multiparameter data from a single well, has thus become an important tool in the High-Throughput Screening (HTS) laboratory.
Coverage Includes: Compound/siRNA Screening – Pathway Analysis – Data Management – Image Analysis – HCA for Stem Cells – Live-Cell Imaging – Flow Cytometry – Neuronal Screening – New Biological Models for HCA – Novel Probes and Biosensors
1. How significantly do you feel the Drug Discovery Process has benefited from the application of High Content Analysis techniques?
Anthony Davies: Since the mid 1990’s High-content analysis (HCA) has primarily been used in the later stages of the pre-clinical drug discovery process. However, as HCA techniques have developed and evolved, so has the role of this technology within the discovery process. Today HCA is integrated earlier in drug discovery, for example this technology is now widely utilised in target validation where contextual information obtained from cell based assays allows for better characterisation of biological mechanisms.
Technological advances in robotised microscopy, liquid handling and image processing have enabled the emergence of high content screening where large numbers of specimens are automatically analysed. Here we overview the process discussing potential difficulties and solutions.
High Content Analysis and Screening technologies (HCA) ushered in a new era in the biomedical research, enabling the scientists to uncover previously unknown disease mechanisms and to introduce innovative approaches to the development of the new generations of therapeutic drugs with a potential to selectively target individual genes, molecules and subcellular organelles. The quest for the novel therapeutic targets starting from thousands of candidate molecules and compounds, narrowing down to a few leads and their subsequent optimisation and practical application, which for many years has been almost an exclusive privilege of the large pharmaceutical companies, is quickly becoming a routine in the academic research environment.
Last year over 400 thought leaders gathered at the Fifth Annual High-Content Analysis meeting at the San Francisco Fairmont Hotel, on 14-17 January, to discuss the latest technologies and applications in high-content analysis. This year over 400 delegates are expected to attend and over sixty speakers will appear.
ABB Analytical Measurement ABL&E Group ABS Laboratories Analytik Jena AG Axis-Shield Diagnostics Ltd Black Swan Analysis Limited CAMO Software AS Celsis International Cherwell Laboratories CI Precision Cobalt Light Systems Comark Instruments Coulter Partners Dotmatics Limited Enterprise System Partners EUROGENTEC GE Analytical Instruments HunterLab Hyglos GmbH IONICON Analytik GmbH kbiosystems ltd LabWare MKS Umetrics Portalis Ltd Powder Systems Limited (PSL) RADWAG Reach Separations ReAgent Source BioScience Spectrum®Labs.com Stratech Scientific Limited Thermal Detection Ltd. Thermo Fisher Scientific Tuttnauer Vaisala Ltd VIAVI OSP Waters Corporation Wickham Laboratories Limited Xylem Analytics Ytron-Quadro (UK) Limited Yusen Logistics