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Flow Cytometry
Flow Cytometry
article

Implementation of flow cytometric biomarker assays in clinical development

20 June 2011 | By 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…

Sheraz Gul
Sheraz Gul
article

Reducing attrition in drug discovery: The role of biomarkers

20 June 2011 | By Sheraz Gul, Vice President & Head of Biology, European ScreeningPort GmbH

The development of most diseases is often attributed to the dysfunction of the activities of key proteins involved in biological processes and their modulation by a therapeutic agent is considered to offer the potential to alleviate the disease state.

AstraZeneca announces collaborations to use CRISPR technology for genome editing across its drug discovery platform
AstraZeneca announces collaborations to use CRISPR technology for genome editing across its drug discovery platform
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Using translational pharmacology biomarkers to drive earlier decision making

19 April 2011 | By Magnus Ivarsson, Head of Physiological Biomarkers, Pfizer and Mark Fidock, Head of Quantitative Biomarkers, Research Enabling Group, Pfizer

The current high rate of attrition during drug development is unsustainable. An increasing amount of the cost of developing a new drug is made up of the investment in molecules that fail at some point during the process and the later that failure occurs, the more costly it will be.…

article

DiscoveRx Interview

19 April 2011 | By Sailaja Kuchibhatla, Senior Vice President Business Development DiscoveRx Corporation

“The goal of DiscoveRx has always been centred on creating technologies that enable the highest levels of innovation and development to enrich drug discovery,” Sailaja Kuchibhatla, Senior Vice President Business Development, asserts. Founded in 2000, DiscoveRx solved an unmet need within the GPCR industry by commercialising a functional, naturally coupled…

Figure 1 Examples of chemical structures of antibodies for targeted pulmonary inhalation aerosol
Figure 1 Examples of chemical structures of antibodies for targeted pulmonary inhalation aerosol
article

Pulmonary inhalation aerosols for targeted antibiotics drug delivery

16 February 2011 | By Chun-Woong Park & Heidi M. Mansour, University of Kentucky, College of Pharmacy and Don Hayes Jr, University of Kentucky, College of Medicine

Targeted pulmonary drug delivery of antibiotics by inhalation aerosols can play significant roles in the treatment of cystic fibrosis (CF), chronic obstructive pulmonary disease (COPD) and in other pulmonary diseases where chronic airway infections exist. Direct administration to the lung as targeted pulmonary inhalation aerosol delivery is uniquely able to…

Figure 1 Schematic illustration of arrayed or pooled RNAi screens in cells. Left panel. Pooled-viral vectors encoding libraries of shRNAs targeting multiple genes can be used to transduce a target cell population in a single tissue culture dish. After selection for the desired phenotype, cells are analysed for the identification of genes whose inhibition by RNAi knockdown cause the specific phenotype as described in Table 1. The relative abundance of each shRNA or a random 60-mer barcode expressed from the same vector as the specific shRNA can be identified and quantified by labelling the PCR product with fluorescent dyes (e.g., Cy5 or Cy3). The PCR products are then hybridised to custom designed cDNA microarrays containing barcode or shRNA complementary oligonucleotides. The relative abundance of barcodes obtained from the cells that were exposed to selective pressure are compared to that detected in control cells that have been exposed to the same shRNA library, but not to the selective pressure (for example, drug treatment or genetic mutations). Right panel. Arrayed RNAi screen libraries consist of individual siRNA or shRNA reagents that target different genes and that are placed in each well of a multi-well plate. RNAi reagent libraries can comprise synthetic siRNAs, plasmid-or virally-encoded shRNAs. Various assay readouts are used to determine the effect of RNAi on the phenotype as described in Table 1. Adapted10.
Figure 1 Schematic illustration of arrayed or pooled RNAi screens in cells. Left panel. Pooled-viral vectors encoding libraries of shRNAs targeting multiple genes can be used to transduce a target cell population in a single tissue culture dish. After selection for the desired phenotype, cells are analysed for the identification of genes whose inhibition by RNAi knockdown cause the specific phenotype as described in Table 1. The relative abundance of each shRNA or a random 60-mer barcode expressed from the same vector as the specific shRNA can be identified and quantified by labelling the PCR product with fluorescent dyes (e.g., Cy5 or Cy3). The PCR products are then hybridised to custom designed cDNA microarrays containing barcode or shRNA complementary oligonucleotides. The relative abundance of barcodes obtained from the cells that were exposed to selective pressure are compared to that detected in control cells that have been exposed to the same shRNA library, but not to the selective pressure (for example, drug treatment or genetic mutations). Right panel. Arrayed RNAi screen libraries consist of individual siRNA or shRNA reagents that target different genes and that are placed in each well of a multi-well plate. RNAi reagent libraries can comprise synthetic siRNAs, plasmid-or virally-encoded shRNAs. Various assay readouts are used to determine the effect of RNAi on the phenotype as described in Table 1. Adapted10.
article

RNAi screens for the identification and validation of novel targets: Current status and challenges

16 December 2010 | By Attila A. Seyhan, Translational Immunology, Inflammation and Immunology, Pfizer Pharmaceuticals

Recent advances in RNA interference (RNAi) technology and availability of RNAi libraries in various formats and genome coverage have impacted the direction and speed of drug target discovery and validation efforts. After the introduction of RNAi inducing reaagent libraries in various formats, systematic functional genome screens have been performed to…

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
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
article

Application of flow cytometry in drug discovery

16 December 2010 | By 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…

Figure 1 Key signaling pathways of Epidermal Growth Factor Receptor (EGFR). The epidermal growth factor receptor (EGFR) is a member of the human epidermal growth factor receptor (HER) superfamily of receptors comprising of four distinct however structurally similar tyrosine kinase receptors. Upon ligand binding (e.g. EGF, TGF-α) EGFR dimerises with another receptor and undergoes phosphorylation of its TK domain. Activated EGFR stimulates cell proliferation, survival, migration, adhesion and differentiation. EGFR is associated with increased or inappropriate signaling in NSCLC and is a key mediator of tumor progression. Activating mutations of the EGFR kinase domain result in ligand-independent activation of the pathway. Tyrosine kinase inhibitors, such as erlotinib and gefitinib, interfere with the kinase activity of the gene and prevent downstream signaling. Therefore, EGFR is an important target for NSCLC treatment. Modified from Gazdar et al22
Figure 1 Key signaling pathways of Epidermal Growth Factor Receptor (EGFR). The epidermal growth factor receptor (EGFR) is a member of the human epidermal growth factor receptor (HER) superfamily of receptors comprising of four distinct however structurally similar tyrosine kinase receptors. Upon ligand binding (e.g. EGF, TGF-α) EGFR dimerises with another receptor and undergoes phosphorylation of its TK domain. Activated EGFR stimulates cell proliferation, survival, migration, adhesion and differentiation. EGFR is associated with increased or inappropriate signaling in NSCLC and is a key mediator of tumor progression. Activating mutations of the EGFR kinase domain result in ligand-independent activation of the pathway. Tyrosine kinase inhibitors, such as erlotinib and gefitinib, interfere with the kinase activity of the gene and prevent downstream signaling. Therefore, EGFR is an important target for NSCLC treatment. Modified from Gazdar et al22
article

Targeted therapies in lung cancer and Biomarkers

16 December 2010 | By Wolfgang M. Brueckl & Joachim Ficker, Department of Internal Medicine 3, Lung Cancer Center and Thomas M. Mundel, Roche Parma AG

Despite innumerable clinical studies in the past three decades with lots of traditional chemotherapeutical drugs and drug combinations, survival in lung cancer has increased by far less than other entities. Research now focuses on inhibitors of tyrosine kinases which have been shown to have a central role in the development…

Figure 3 A multi-omics approach for the discovery and validation of biomarkers to probe multidimensional phases of disease biology. A robust biomarker discovery, development and validation effort must bring together multiple ‘omics’ technologies, data types, databases and bioinformatics and biostatics to identify the most predictive biomarkers across DNA, RNA, protein, phenotype and metabolite domains
Figure 3 A multi-omics approach for the discovery and validation of biomarkers to probe multidimensional phases of disease biology. A robust biomarker discovery, development and validation effort must bring together multiple ‘omics’ technologies, data types, databases and bioinformatics and biostatics to identify the most predictive biomarkers across DNA, RNA, protein, phenotype and metabolite domains
article

Biomarkers in drug discovery and development

1 November 2010 | By Attila A. Seyhan.Translational Immunology, Inflammation and Immunology, Pfizer

Robust and validated biomarkers are needed to improve diagnosis, monitor drug activity and therapeutic response and guide the development of safer and targeted therapies for various chronic diseases. While different types of biomarkers have been impactful in the field of drug discovery and development, the process of identifying and validating…

article

Functional genomics as a tool for guiding personalised cancer treatment

29 October 2010 | By Roderick Beijersbergen, Group Leader Molecular Carcinogenesis, the Netherlands Cancer Institute

Improved understanding of the molecular alterations in cancer cells has fuelled the development of more specific and directed cancer therapies. However, it has become clear that response rates can be low due to confounding genetic alterations that render these highly specific therapies ineffective. As a result, the costs of cancer…