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DAY 2


Thursday, February 2

7:30-8:15 Breakfast Technology Workshop: 

Improving Drug Discovery Through High- Content Pathway Analysis in Human Cells
Dr. John K. Westwick, CSO, Odyssey Thera, Inc. 
Biological responses to drugs are determined by the architecture and dynamics of cellular signal transduction networks. We are using Protein-fragment Complementation Assays (PCA) to perform live cell, pathway-based drug discovery and drug profiling. Our approach enables assessment of "un-drugable" targets, and also enables identification of on-target and off-target effects of lead compounds at an early stage in the discovery process. High-Content Screening is increasingly utilized in many aspects of contemporary drug discovery and development. This presentation will discuss the implementation of a HCS platform in a “classic” flow cytometry core laboratory, and the subsequent integration of a site based HCS informatics initiative. Application of HCS to early compound characterization-secondary assays, insight into process control for discovery lab procedures, and support for early in vitro safety assessment will be discussed.

8:30-9:00 Reports from ThinkTank Roundtable Discussions

HCS DATA ANALYSIS AND ARCHIVING

9:00 Chairperson’s Opening Remarks

9:00-9:30 Natural Intelligence - A New Perspective at the Dawn of Image Analysis
Dr. Gerd Binnig, Professor, University of Munich
By far the human intelligence is the most distinctive phenomenon among all others known to mankind. For decades it has become a scientific quest to decipher the secrets of this process that governs this phenomenon. Essentially there are two major identifiable intelligence, natural intelligence (NI) and the artificial intelligence (AI) that is embedded in the areas of psychology, biology, and informatics globally. By capturing and modeling the aspects of human intelligence Cognition Network Language (CNL) is developed to address and capture the natural thinking mechanism that endures process to identify and analyze the objects that we see as an images in our everyday life.

9:30-10:00 TBA

10:00-10:30 Extracting More Information from Automated Microscopy
Dr. Robert F. Murphy, Professor, Departments of Biological Sciences and Biomedical Engineering, Carnegie Mellon University 
Most currently applications of automated microscopy involve detection of events defined by binary tests that 1) are defined for each cell in an image, 2) consider each time point separately, and 3) are developed by programmers specifically for each application. I will present work that my group has been doing on lifting these restrictions with the goal of extracting more information from each sample. In particular, I will discuss approaches for automating assay development, for considering patterns in time and space together. I will also discuss approaches for decomposing patterns into component patterns and for measuring changes in sub cellular patterns caused by drugs or transgenes that also cause confounding changes in cell morphology. 

INFORMATICS TECHNOLOGY SHOWCASE

11:30-11:45 
eCognition for Automated High-Content Analysis: Flexible Platform for Detailed Analysis of Cellular Image Data 
Dr. Martin Baatz, Director, Technical Sales, Definiens AG 
Progress in cellular high-throughput and high-content imaging needs the support of software tools that allow detailed, reliable and fully automated image analysis. The challenge in understanding images is more than just the local analysis of a piece of information; it also involves bringing structure, morphology and context into play. Based on Definiens Cognition Network Technology®, a fundamental technology which models human thought, eCognition for High-Content Analysis is a flexible and scalable software platform for detailed and reliable analysis of cell images. Based on moduls that address the extraction of different cell components and GFP signals it can be applied to a whole range of different assays and tasks in High-Content Screening.
11:45-12:00 

Multiparametric Analysis Eases the HCS Data-Analysis Bottleneck 
Dr. Paula Rickert, Product Manager, Cellular Imaging, Molecular Devices Corporation.
The size of HCS datasets and the difficulty of analyzing them are often mentioned as key factors preventing the wider adoption of HCS. Using examples from very large compound screens using Transfluor® technology, I demonstrate how multiparametric analyses can radically increase HCS productivity and improve analyzed results by (a) analyzing these datasets very quickly and (b) providing new tools such as novel visualizations and algorithms to interpret the data. Key steps in multiparametric analysis include data pre-processing (normalizations and transformations), data quality control (Z’, robust Z’, other quality statistics, data filtering) and global analyses such as principal components analysis and clustering. These methods have been widely adopted in other areas of biology such as DNA microarrays, and their use will be critical to the success of HCS as a screening technology.
12:00 – 12:15

Visual, Interactive Analysis of Data Analysis of InCell Analyzer HCS Data
Christian Marcazzo, Senior Director, Life Sciences Marketing Spotfire, Inc.
12:15-12:30
Don’t Panic! – The Hitchhiker’s Guide to the HCS Data Challenge 
Dr. Mark A. Collins, Senior Product Manager, Informatics, Cellomics, Inc.
As HCS has advanced and become more widely adopted, so has the need for more sophisticated data management to cope with the volume and complexity of HCS data. This presentation will discuss the informatics challenges related to HCS data and demonstrate a practical, standards based, open systems architecture that addresses both the scientist’s and IT’s needs for productive HCS.
12:30- 12:45

Convergence and Transformation: Information Based Medicine in Biopharmaceutical R&D
Dr. David Zirl, Manager, IBM Healthcare Life Sciences

The convergence between IT and life sciences R&D and the use of new technologies including those in the area of pharmacogenomics are leading to a transformation in all aspects of drug discovery and development. In this talk we will discuss a variety of IT issues and solutions to address the challenges faced in adopting these new technologies.

12:45-1:00 Technology Short Talks
Additional Sponsorship Available. Contact: Carol Dinerstein at 781-972-5471 or 
dinerstein@healthtech.com
.

7:30-8:15 Technology Workshop Sponsorship Available.
Contact: Carol Dinerstein at 781-972-5471 or dinerstein@healthtech.com.

GENOME-WIDE RNAI SCREENING FOR TARGET IDENTIFICATION

8:30 Chairperson’s Opening Remarks

8:30-9:00 Sensitized RNAi Screen of Human Kinases and Phosphatases Identifies Novel Regulators of Apoptosis and Chemoresistance
Dr. John Blenis, Professor of Cell Biology, Harvard Medical School
Given the adaptability of tumor cells, drug resistance is a major cause of failure in conventional chemotherapy. Tilting the cellular balance towards apoptosis by activating cell death signals with conventional chemotherapeutic agents, combined with inhibiting tumor-specific survival signals, may be crucial in determining the fate of cancer cells. The combination of targeted and conventional therapies has the potential to maximize efficacy, while minimizing toxicity. Using large-scale RNAi-based screens, we report the identification of known and novel human kinases and phosphatases that promote cell survival, and a new group of phosphatases with tumor-suppressor-like activity. In addition, functional screens in the presence of low dose apoptosis-inducing chemotherapeutic agents has identified a group of kinases whose loss of function sensitizes cells to undergo cell death, highlighting their importance as potential drug targets.

9:00-9:30 Fast siRNA Transfection Method for Automated High-Throughput Screen of Genome-Scale siRNA Libraries
Dr. Namjin Chung, Senior Research Scientist, Automated Biotechnology, Merck Research Laboratories
By understanding the efficacy, stability, and toxicity of lipid-based transfection reagents, we developed a fast and efficient method for transfecting siRNA into cultured mammalian cells. Transfection throughput is only limited by the speed of liquid and microplate handling on the robotic platform, and triplicate transfections of a genome-scale siRNA library of more than 20,000 genes can be completed in 16 hours. Transfection efficiency, behaviors of various control siRNAs, and other quality metrics were comparable to or better than conventional, low-throughput methods, while the cost of screening was significantly lower. The current method provides an efficient means for investigating gene functions in the large scale.

9:30-10:00 A Systematic RNAi Screen for C. Elegans Longevity Genes
Dr. Siu Sylvia Lee, Assistant Professor, Department of Molecular Biology and Genetics, Cornell University
We are using genome-wide RNAi screenings to identify C. elegans longevity genes. We have screened over 16,000 RNAi clones, and identified about 90 RNAi inactivations that reproducibly extended C. elegans lifespan. These RNAi clones correspond to 90 distinct C. elegans genes. The candidate longevity genes we identified participate in a wide variety of cellular processes, indicating that diverse biological functions can influence longevity in C. elegans.

10:00-10:30 HT RNAi Screen and Analysis of Cholesterol Synthesis Pathway in Human Hepatoma Cells
Dr. Christophe J. Echeverri, CEO/CSO, Cenix BioScience GmbH
The talk will describe a recently-completed RNAi screen of over 5,000 therapeutically-relevant genes for new atherosclerosis targets, conducted in collaboration with Bayer Healthcare. The screening assay was based on the identification of genes whose inhibition caused an increase in LDL uptake, as a direct consequence of inhibiting cholesterol synthesis. Genes that were thereby newly implicated in this complex pathway were further analyzed by a new validation approach known as Pathway Titration™. I will particularly focus on the range of scientific and strategic decisions that led us through the many challenges of this large study.

10:30-11:30 Coffee Break with Exhibit and Poster Viewing

INTEGRATING siRNA-AND COMPOUND-LIBRARY SCREENING

11:30-12:00 Targeting the HIF-1 Pathway: An Experience with siRNA and Small Molecule Screens
Dr. Yu Shen, Group Leader, Cancer Exploratory Biology, Abbott Laboratories
HIF-1 emerges as an attractive target for cancer therapy. However, the lack of apparent “druggable” targets in the pathway hinders the development of small molecule inhibitors targeting HIF-1. In order to identify “druggable” targets in the HIF-1 pathway, we carried out an HIF-1 reporter screen using both a siRNA library against the “druggable genome” and a compound library consisting of 800,000 small molecule compounds. The siRNA library screen resulted in overwhelming “off-target hits.” An analysis of some of the off-target hits revealed that siRNA-mediated off-target gene silencing could be triggered by as low as 7-nt complementation between a siRNA and an mRNA. In contrast, screening of the compound library using the HIF-1 reporter assay resulted in the identification of a class of HIF-1 inhibitors with sub-nanomolar cellular activity. Further analysis of this class of compounds highlights the importance of an often-overlooked mechanism in HIF-1 regulation.

12:00-12:30 Advanced Analytical Approaches to Small Molecule and RNAi Studies Using High-Content Screening and Informatics
Dr. Steven Haney, Senior Scientist, Biological Technologies, Wyeth Research
High-Content Screening is a powerful technology for studying effects of small molecule compounds and RNAi on cells. In fact, it is a challenge to integrate all of the data that is available. We have been interested in leveraging these data, and have begun to develop methods for extracting and analyzing these complex data sets. Our goal is to be able to identify responses of cells in an unbiased approach that will maximize our understanding of how gene and target perturbations affect signaling pathways.

12:30-1:00 High-Content Functional Genomics Screening to Enhance Target Confidence in Safety and Mechanism
To Be Announced
A limited understanding of genes’ mechanistic properties is a major factors contributing to the unacceptably high attrition rate observed for many drug targets. Current cell-based screening assays typically measure a discrete event and not the cause, as such a negative result does not distinguish between a target or compound driven response. Here we describe a molecular genetics screening approach incorporating siRNA duplexes as a tool to modulate the expression of molecules within “druggable” target space. The Cellomics ArrayScan platform is subsequently utilized to monitor and evaluate multiple functional endpoints. The integration of these phenotypic measurements with existing chemical and informatics data will enhance the understanding of target mechanism and secondary pharmacology enabling better decision making within a therapeutic program. 

1:00-2:30 Lunch in Exhibit Hall and Poster Viewing (last chance to view)

 

Additional Sponsorship Available.
Contact:
Carol Dinerstein at 781-972-5471 or dinerstein@healthtech.com.

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