Flow Cytometry

A selection of articles from European Pharmaceutical Review covering flow cytometry:


Flow Cytometry

Flow cytometry for the optimisation of microbial recombinant protein production

28 October 2014  •  Tim W. Overton, Lecturer in Bioengineering, University of Birmingham

Flow cytometry is an extremely useful technique for the rapid analysis of many cell types. Here, the applications of this technique for the monitoring and optimisation of microbial recombinant protein production processes are discussed...

Figure 5: VHP can stratify CVD status. The profile computationally combines EPC and MP measures. In the upper panel, the vertical axis represents a measure of a subpopulation of endothelial microparticles and the horizontal axis a measure of EPCs

High dimensional flow cytometry comes of age

3 September 2012  •  Jonni Moore, Professor of Pathology and Laboratory Medicine, Director, Clinical Flow Cytometry, Hospital of University of Pennsylvania, Director, Abramson Cancer Center Flow Cytometry and Cell Sorting Shared Resource – Perelman School of Medicine of the University of Pennsylvania and Pascal Yvon, CEO, CytoVas

Technologies for single cell analysis have recently become prominent in the emerging life science sectors. The last few decades have seen an explosion in advancements in cytometric technologies encompassing instrumentation, probes and data analysis. In particular, flow cytometry has become a well-established and routine method in clinical laboratories. Recent developments have placed high dimensional flow cytometry at the forefront of new applications critical for the pharmaceutical sector and clinical laboratories. The integration of systems biology concepts into biomedical studies has resulted in trans - formative advancements in both the amount and type of information that can be gained to help understand the basis of biocomplexity in health and disease. All aspects of a biological process from biochemical, genetic and cellular to clinical and environmental can be integrated using computational models to derive unique signatures from vast amounts of data. The changes in these signatures, often unique to the individual, can serve to define patho - physiological conditions...

At the crossroads: The next decade

At the crossroads: The next decade

26 April 2012  •  J. Paul Robinson, Purdue University Cytometry Laboratories & Weldon School of Biomedical Engineering, Purdue University; Bernd Bodenmiller, Group leader, Institute of Molecular Life Sciences, University of Zurich; Valery Patsekin and Bartek Rajwa, Purdue University Cytometry Laboratories, Purdue University; and V. J. Davisson, Medicinal Chemistry & Molecular Pharmacology, Purdue University

Flow cytometry is the technology that has the most impact on single-cell analysis. Over the past 40 years, it has arguably been the single most important research technique in the fields of basic and applied immunology. Flow cytometry excels in quantitative evaluation of receptor expression, separation of functionally defined cell populations and monitoring of cellular differentiation. For the clinical sciences, flow cytometry has been a key tool for diagnostics whereby aberrant populations are identified, classified and quantified, and in situations such as minimal residual disease, is capable of identifying rare cells indicative of dysplasia. Despite the importance of its applications, flow cytometry is often seen as an aging technique without new exciting opportunities. The reality could not be further from the truth. The systems biology approach breathes new life into this unique technology. The new challenges of complex analysis of networks and pathways are a natural fit for modern multifactorial flow cytometry. At the dawn of modern immunology, Len Herzenberg at Stanford University demonstrated the power of this high-tech tool in the early 1970s and it was soon the select tool for immunologists1. The advantage of flow cytometry was clear to most.

Flow Cytometry

Implementation of flow cytometric biomarker assays in clinical development

20 June 2011  •  Dianna Y. Wu & Russell Weiner, Clinical Biomarkers and Diagnostics, Merck & Co

Biomarker research has become one of the integral aspects in drug discovery and development. It is broadly utilised to confirm drug mechanism of action (MOA), explore PK/PD correlation, support dose selection and predict response to treatment. Therefore, biomarker data provide valuable information to guide clinical decisions, support drug filings with regulatory agencies and ultimately increase the market value of the drug. Flow cytometry is a powerful technology for the analysis of multiple biological parameters of individual cells within heterogeneous cell populations. It is widely being used in biomarker research to monitor development and differentiation of cell populations, evaluate target engagement and biomarker expression on/in the cells and assess cell functions and signalling events.

Figure 1 A: Control B: Docetaxel treated Induction of apoptosis with Docetaxel compared to untreated. The lower right quadrant represents cells in early apoptosis and cells in the upper right quadrant are cells in late apoptosis due to PI entering the cells through leaky membranes. C: Control D: Docetaxel treated Cell cycle of control cells and Docetaxel treated cells. The first peak shows cells in G0/G1 and the second peak is cells in G2/M. The breast cancer cell line, MDA MB231, was treated with 10nM docetaxel or DMSO control for 72 hours. Cells were harvested, the nuclei isolated and stained with PI. Samples were run on the LSR II flow cytometer and analyed in FCS Express software. Docetaxel arrests the cells in G2/M

Application of flow cytometry in drug discovery

16 December 2010  •  Dana Buckman, Senior Scientist, Biomarkers – Translational Research, Pfizer

Flow cytometry can be used to advance our understanding of diseases in multiple ways. Drug effects and dosages can be ascertained in vitro, along with patient selection based on mutations and antigen profiles. Within the Diagnostic Biomarkers group of Translational Research at Pfizer, we are utilising flow cytometry in conjunction with other diagnostic tools to assist in gaining a clearer understanding of drug target biology and to identify patients that would benefit most from a specified drug regimen.


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