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Register by November 30 th SAVE up to $200!<br />

Cambridge Healthtech Institute’s TENTH Annual<br />

High-<strong>Content</strong><br />

January 8-11, 2013<br />

The Fairmont Hotel l San Francisco, California<br />

Analysis<br />

The most<br />

COMPREHENSIVE<br />

COVERAGE of HCA<br />

applications and<br />

technologies.<br />

Anniversary<br />

TOPICS INCLUDE:<br />

High-<strong>Content</strong> Screening in 1536-Well Format<br />

High-<strong>Content</strong> Image and Data Analysis<br />

HCA for Toxicity Assessment<br />

Novel Biosensor Assays for Screening<br />

Phenotypic Drug Discovery<br />

3-D Cell-Based Assays<br />

HCA of 3-D Tumor Spheroids<br />

Digital Pathology and Tissue Diagnostics<br />

HCA of Stem Cells<br />

RNAi Screens<br />

Advanced High-<strong>Content</strong><br />

Analysis Course<br />

January 7, 2013<br />

User Group Meetings<br />

January 8, 2013<br />

Dinner Course: Advanced Data<br />

Analysis for Phenotypic Screening<br />

January 10, 2013<br />

Live-Cell Imaging Workshop<br />

January 11, 2013<br />

Executive Sponsor<br />

Premier Sponsor<br />

Corporate Sponsors<br />

Organized by<br />

Cambridge Healthtech Institute<br />

High<strong>Content</strong>Analysis.com


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

CHI offers comprehensive sponsorship<br />

packages which include presentation<br />

opportunities, exhibit space and branding,<br />

as well as the use of the pre- and post-show<br />

delegate lists. Customizable sponsorship<br />

packages allow you to achieve your objectives<br />

before, during, and long after the event. Signing<br />

on early will allow you to maximize exposure to<br />

hard-to-reach decision makers!<br />

Agenda Presentations<br />

Showcase your solutions to a guaranteed,<br />

highly-targeted audience. Package includes a<br />

15- or 30-minute podium presentation within<br />

the scientific agenda, exhibit space, on-site<br />

branding and access to cooperative marketing<br />

efforts by CHI.<br />

User Group Meetings - Sold Out!<br />

Co-locate your user group meeting with High-<br />

<strong>Content</strong> Analysis 2013. CHI will help market the<br />

event, manage logistical operations, develop the<br />

agenda, and more. CHI can handle the entirety<br />

of the meeting, or aspects of your choosing.<br />

Pre-Conference Workshops/Short Courses<br />

Includes a 15-minute or 30-minute podium<br />

presentation during pre-conference workshop,<br />

as well as your company logo displayed on<br />

pre-conference workshop materials and<br />

on-site signage.<br />

Focus Groups<br />

CHI will gladly provide you the opportunity of<br />

running a focus group on-site. This exclusive<br />

gathering can be useful to conduct market<br />

research, gather feedback on a new product<br />

idea and gather marketing intelligence from<br />

industry experts on a specific topic.<br />

Invitation-Only VIP Dinner/Hospitality Suite<br />

Sponsor will select invitees from the<br />

conference pre-registration list for an evening<br />

of networking at the hotel or a top local venue.<br />

CHI will extend invitations, conduct follow-up<br />

and monitor responses. Reminder cards will<br />

be placed in the badges of delegates who will<br />

be attending.<br />

Exhibit Information<br />

Exhibitors will enjoy facilitated networking<br />

opportunities with qualified decision makers at<br />

High-<strong>Content</strong> Analysis, making it the perfect<br />

platform to launch a new product, collect<br />

feedback and generate new leads. Exhibit space<br />

sells out quickly, so reserve yours today!<br />

High-<strong>Content</strong><br />

Analysis<br />

Sponsorship & Exhibit Information<br />

Anniversary<br />

Looking for additional ways to drive leads<br />

to your sales team Cambridge Healthtech<br />

Institute can help with custom lead<br />

generation programs!<br />

We offer clients numerous options for custom<br />

lead generation programs to address their<br />

marketing and sales needs. Some of our<br />

programs include:<br />

• Live Webinars • White Papers<br />

• Market Surveys • Podcasts and More!<br />

Benefits of working with Cambridge<br />

Healthtech Institute for your lead generation<br />

needs:<br />

• Your campaign will receive targeted<br />

promotion to Cambridge Healthtech<br />

Institute’s unparalleled database of over<br />

800,000 individuals, all of which are involved<br />

in all sectors of the life sciences – lists can<br />

be segmented based on geography, research<br />

area, title and industry.<br />

• All custom lead generation programs are<br />

promoted through our experienced marketing<br />

team that will develop and drive targeted<br />

campaigns to drive awareness and leads to<br />

your lead generation program.<br />

• For our webinar programs, we offer<br />

assistance in procuring speakers for your<br />

web symposia through our extensive roster<br />

of industry-recognized speakers across<br />

multiple disciplines within life sciences, as<br />

well as provide an experienced moderator<br />

and dedicated operations team that will<br />

coordinate all efforts.<br />

• If choosing a white paper program, we can<br />

offer editorial experience and provide an<br />

industry-recognized author to write your<br />

white paper.<br />

To customize your participation as a sponsor<br />

or exhibitor at this event, please contact:<br />

Katelin Fitzgerald<br />

Manager, Business Development<br />

781-972-5458 | kfitzgerald@healthtech.com<br />

Hotel & Travel Information<br />

Conference Hotel:<br />

The Fairmont San Francisco<br />

950 Mason Street<br />

San Francisco, CA 94108<br />

Phone: 415-772-5000<br />

Discounted Room Rate: $219 s/d<br />

Discounted Room Rate Cut-off Date: December<br />

10, 2012<br />

Please call the hotel directly to reserve your<br />

sleeping accommodations. You will need to<br />

identify yourself as a Cambridge Healthtech<br />

Institute conference attendee to receive the<br />

discounted room rate with the host hotel.<br />

Reservations made after the cut-off date or after<br />

the group room block has been filled (whichever<br />

comes first) will be accepted on a space and rateavailability<br />

basis. Rooms are limited, so please<br />

book early.<br />

Flight Discounts:<br />

Special discount rentals have been established<br />

with American Airlines for this conference.<br />

• Call American Airlines 1-800-433-1790 and use<br />

Conference code 9413BL.<br />

• Go online www.aa.com and enter Conference<br />

code 9413BL in promotion discount box.<br />

• Contact our dedicated travel agents at 1-877-<br />

559-5549 or chi@protravelinc.com.<br />

Car Rental Discounts:<br />

Special discount rentals have been established<br />

with Hertz for this conference. Please use one of<br />

the following methods:<br />

• Call Hertz 1-800-654-3131 and use our Hertz<br />

Convention Number (CV): 04KL0003<br />

• Go online www.hertz.com and use our Hertz<br />

Convention Number (CV): 04KL0003<br />

Lead Sponsoring Publication<br />

Sponsoring Publication<br />

Sponsoring<br />

Organization<br />

Media<br />

Partners<br />

2 | High-<strong>Content</strong> Analysis High<strong>Content</strong>Analysis.com


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

Monday, January 7, 2013 Pre-Conference Short course<br />

Advanced High-<strong>Content</strong> Analysis Course*<br />

Beyond the State-of-the-Art in HCA<br />

8:30-9:00 am Registration for Advanced High-<strong>Content</strong> Analysis Course<br />

9:00-10:30 Part 1: The HCS/A Platforms: What’s under the Hood<br />

Anthony M. Davies, Ph.D., Director, Irish National Center for High-<strong>Content</strong> Screening and Analysis (INCHA)<br />

10:30-11:00 Coffee Break<br />

11:00 am-12:30 pm Part 2: Data Analysis and Management<br />

Karol Kozak, Ph.D., Head, Data Handling Unit and High-<strong>Content</strong> Screening, ETH Zurich<br />

12:30-1:30 Enjoy Lunch on Your Own<br />

1:30-3:00 Part 3: HCA/HCS Assay Development<br />

Paul A. Johnston, Ph.D., Research Associate Professor, Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh<br />

3:00-3:30 Refreshment Break<br />

3:30-5:00 Part 4: Questions and Panel Discussion<br />

5:00 Close of Course<br />

h Please visit www.High<strong>Content</strong>Analysis.com for a detailed course description.<br />

*Separate registration required<br />

Tuesday, January 8, 2013 User Groups<br />

9:00 am-12:30 pm GE Healthcare User Group Meeting<br />

9:00 am-2:00 pm Molecular Devices User Group Meeting<br />

2:00-6:00 pm PerkinElmer User Group Meeting<br />

2:30-7:00 pm Thermo Scientific User Group Meeting<br />

5:00-6:00 pm Conference Pre-Registration<br />

Wednesday, January 9, 2013 Main Conference<br />

7:30-8:30 am Conference Registration<br />

8:30-8:40 Welcome Remarks from Conference Director<br />

Julia Boguslavsky, Executive Director, Conferences, Cambridge Healthtech Institute<br />

8:40-8:45 Welcome Remarks from Executive Sponsor<br />

Scott Keefer, MBA, Manager, Product Management, Thermo Scientific High <strong>Content</strong> Products<br />

Sponsored by<br />

8:45-9:45 Opening Panel Discussion<br />

Tenth Anniversary of HCA: Progress Report<br />

Hear an update from participants of the Inaugural HCA meeting 10 years ago, including recent developments in technology<br />

and applications, as well as remaining unmet needs and future directions.<br />

Chairperson: Anthony M. Davies, Ph.D., Director, Irish National Center for High-<strong>Content</strong> Screening and Analysis (INCHA)<br />

Panelists:<br />

Paul A. Johnston, Ph.D., Research Associate Professor, Pharmaceutical Sciences, School of Pharmacy, University<br />

of Pittsburgh<br />

Jonathan A. Lee, Ph.D., Senior Research Advisor, Quantitative Biology, Eli Lilly & Co.<br />

Joe Trask, Ph.D., Head, Cellular Imaging Core, The Hamner Institutes for Health Sciences<br />

9:45-10:45 Coffee Break in the Exhibit Hall with Poster Viewing<br />

Anniversary<br />

Sponsored by<br />

High<strong>Content</strong>Analysis.com High-<strong>Content</strong> Analysis | 3


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

High-<strong>Content</strong> Screening in 1536-Well Format<br />

10:45-10:50 Chairperson’s Opening Remarks<br />

Richik N. Ghosh, Ph.D., Director, Research & Applications, Thermo<br />

Scientific High <strong>Content</strong> Products<br />

10:50-11:15 Developing a High-Throughput High-<strong>Content</strong><br />

Infrastructure and the Impact of 1536-Well HCS on BMS<br />

Drug Discovery<br />

Debra Nickischer, Research Scientist II, Cellular Systems, Molecular<br />

Sciences and Candidate Optimization, Bristol-Myers Squibb<br />

There is a growing interest within the drug discovery industry to utilize<br />

more physiologically relevant cellular models in early hit-identification<br />

efforts, with the goal of identifying higher-quality drug candidates and<br />

enabling better prediction of liabilities. For high-throughput screening with<br />

large compound libraries, this translates to a need to enable sophisticated<br />

assay platforms such as high-content screening in a miniaturized, 1536-<br />

well microplate format. With focus on specific BMS programs, we will<br />

discuss considerations and challenges for developing high-throughput HCS<br />

capabilities and will outline innovative approaches to analyze and interpret<br />

the large volumes of content-rich data this platform provides.<br />

11:15-11:40 A Miniaturized 1536-Well HCS Pipeline to Identify<br />

Small Chemical Compounds Improving Muscle Function<br />

Enrico Schmidt, Ph.D., Lab Head and Investigator III, Center for<br />

Proteomic Chemistry, Integrated Lead Finding 1, Novartis Pharma AG<br />

11:40-11:55 New CCD Camera Technology for Sponsored by<br />

High-<strong>Content</strong> Screening<br />

Audra Ziegenfuss, Technical Product Manager, Thermo<br />

Scientific High <strong>Content</strong> Products<br />

As camera technology advances, higher sensitivity and better resolution<br />

are the results. We will be discussing a new CCD camera used in highcontent<br />

analysis and comparing it to current technologies being used in<br />

the high-content space.<br />

Sponsored by<br />

11:55-12:10 pm Enabling High-Throughput HCS<br />

with the Cell Insight<br />

Debra Nickischer, Research Scientist II, Cellular Systems,<br />

Molecular Sciences and Candidate Optimization, Bristol-Myers Squibb<br />

We will discuss how BMS is utilizing the Thermo Scientific CellInsight HCS<br />

Platform in Lead Discovery. We will describe our automation configurations<br />

with the Thermo Scientific Orbitor plate handlers; how the CellInsights<br />

have enabled our high-throughput, high-content screens; and the impact<br />

on BMS drug discovery.<br />

12:10- 12:25 New Developments in High<br />

Sponsored by<br />

<strong>Content</strong> Imaging Systems for Faster and<br />

More Efficient Screening<br />

HaiGuang Zhang, Ph.D., Senior Application<br />

Consultant, GE Healthcare<br />

Rapid acquisition without compromising on image quality is essential<br />

for successful high content screening, particularly in high well-density<br />

formats. GE Healthcare is continuing to push the boundaries of<br />

HCS by incorporating the latest advances in hardware and software<br />

technologies for optical imaging. We will discuss new components and<br />

features of the IN Cell Analyzer systems that are enabling more rapid,<br />

robust and efficient hit identification and assessment.<br />

12:25-12:40 Sponsored Presentation<br />

(Opportunity available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

12:40-1:45 Enjoy Lunch on Your Own<br />

High-<strong>Content</strong> Image and Data Analysis<br />

10:45-10:50 Chairperson’s Opening Remarks<br />

10:50-11:15 Flat Field Correction and Multi-Parametric<br />

Regression Models for High-<strong>Content</strong> Analysis<br />

Peter Horvath, Ph.D., Data Analysis Specialist, Light Microscopy and<br />

Screening Center, ETH Zurich<br />

11:15-11:40 <strong>Content</strong>-Based Searching of Bioimage Databases<br />

Robert F. Murphy, Ph.D., Professor, Computational Biology and<br />

Biological Sciences, Biomedical Engineering and Machine Learning;<br />

Director, Ray and Stephanie Lane Center for Computational Biology,<br />

Carnegie Mellon University<br />

We have developed OMERO.searcher as the first of a series of open source<br />

tools that can augment the capabilities of a bioimage database system such<br />

as OMERO. OMERO.searcher Server can be installed on top of an OMERO<br />

database to allow both internal and external users to perform image content<br />

searches. These searches can be done to find images similar to a selected<br />

image (or images) already in the database, or using images on a user’s own<br />

computer. External users can also use OMERO.searcher Local Client to<br />

search one or more remote databases using similarity to local images, and<br />

searching of databases that use systems other than OMERO can also be<br />

easily enabled. I will discuss our experience with adapting other advanced<br />

image analysis tools for use with OMERO databases.<br />

11:40-12:05 pm Making an Individual Cell’s Voice Heard: The<br />

Beauty of High-<strong>Content</strong> Screening<br />

Tiao Xie, Ph.D., Leader, Image and Data Analysis Core (IDAC), Harvard<br />

Medical School<br />

A wide spectrum of image analysis tools/approaches have been utilized<br />

at IDAC to quantify the image datasets from the diverse image-based<br />

screening assays. The recent development of commercial image analysis<br />

packages has enabled us to robustly analyze data generated from the more<br />

traditional image-based assays such as cell viability, mitotic index and protein<br />

expression/translocation assays. However, some assays that target very<br />

specific morphological changes of whole cells or sub-cellular structures<br />

require more customized analysis solutions to extract specific information<br />

from the images. Moreover, the massive scale of image datasets generated<br />

from high-throughput screens also call for integrated data management<br />

approaches, including image storage, sharing, visualization, analysis and<br />

secondary data handling. Several successful stories will be presented to<br />

demonstrate our high-content screening capacity at Harvard, from image<br />

acquisition/storage, to high-content analysis and data visualization.<br />

12:05-12:20 Complex Challenges in the Field Sponsored by<br />

of Cellular Level Research Require NEW Paths<br />

in Your Road to Discovery<br />

Robert Graves, Ph.D., Senior Application Specialist, GE<br />

Healthcare<br />

For today’s highly automated systems for image acquisition requires insight<br />

into cells and intracellular components. The tools you need for everyday<br />

assays are complex, unique applications requires a comprehensive<br />

package of image analysis tools for a broad range of imaging experiments.<br />

Come and learn about our highly adaptive software configured for a range<br />

of skills and experience to meet your challenges in the modern lab.<br />

12:20-12:35 Sponsored Presentation<br />

(Opportunity available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

12:35-1:45 Enjoy Lunch on Your Own<br />

4 | High-<strong>Content</strong> Analysis High<strong>Content</strong>Analysis.com


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

HCA for Toxicity Assessment<br />

1:45-2:10 High-<strong>Content</strong> Screening of Zebrafish Embryos for<br />

Drug Safety Assessment<br />

Jyotshna Kanungo, Ph.D., Principal Investigator, Lead Scientist, Zebrafish<br />

HTS Laboratory, National Center for Toxicological Research, FDA<br />

Zebrafish embryos are being routinely used in chemical toxicity<br />

assessments. Since these tests require minimal amounts of test<br />

compounds, test durations are less time-consuming than typical toxicity<br />

tests, and multi-parametric high-content assays based on a variety of<br />

sub-lethal endpoints can easily be performed including those useful<br />

for the assessment of a chemical’s teratogenicity. We have developed<br />

several endpoints for high-content analysis of drug effects on the zebrafish<br />

embryos. In one approach, using multi-well plates, a high-content<br />

automated imaging procedure is employed to measure axon length in<br />

zebrafish embryos in vivo to screen for drug effects and determine dose<br />

levels that are developmentally toxic. Automated fluorescent image<br />

acquisition of the transgenic embryos is performed in vivo with embryos<br />

arrayed in 384-well plates, and post-acquisition image analysis provides<br />

average axon lengths in the control and experimental groups.<br />

2:10-2:35 Removing the Edge Effect Limitation of<br />

Cytotoxicity Testing<br />

Peter J. O’Brien, D.V.M., Ph.D., Veterinary Clinical Pathologist, Pathology,<br />

University College Dublin<br />

The edge effect is one of the most limiting factors in performing<br />

cytotoxicity tests conducted over multiple days. Microenvironments of<br />

wells at the edges of microtiter plates can restrict cell growth and function<br />

and response to treatment. This effect is also found, although to a lesser<br />

extent, at the wells near to the edge and found to a greater extent with<br />

wells at plate corners. A recently-developed microtitre plate has largely<br />

eliminated this adverse effect, with a proprietary method for maintaining<br />

a constant microenvironment across all wells. The positive impact of<br />

this development on sample throughput, measurement precision, and<br />

accuracy of cytotoxicity assessment will be demonstrated.<br />

2:35-3:00 Contribution of Physicochemical Properties to Toxicity<br />

Shuyan Lu, Principal Scientist, Drug Safety Research & Development, Pfizer<br />

We examined the relationship between physicochemical properties,<br />

such as partition coefficient (clogP), topological polar surface area (TPSA),<br />

acid dissociation constant (pK(a)), and in vitro mechanistic endpoints<br />

generated using a high-content imaging approach. We demonstrate<br />

in our initial analysis that compounds with clogP>2 and pK(a)>5.5<br />

flagged more endpoints than compounds with clogP ≤ 2 and pK(a) ≤<br />

5.5. When this knowledge was applied to eight different mechanistic<br />

cytotoxicity endpoints (cell loss, apoptosis, ER stress, DNA fragmentation,<br />

mitochondrial potential, nuclear size, neutral lipids/steatosis and lysosomal<br />

mass), we found that compounds with such properties preferentially<br />

flagged in the lysosomal endpoint. We also saw a slight enrichment<br />

of such compounds in the endpoints cell loss, DNA fragmentation<br />

and nuclear size. In addition we demonstrated the contribution of<br />

physicochemical property to cardiotoxicity induced by imatinib.<br />

3:00-3:15 Cardiotoxicity of Oncology Drugs: Sponsored by<br />

High <strong>Content</strong> Analysis of Kinase Inhibitors in<br />

a Human Stem Cell Derived<br />

Cardiomyocyte Model<br />

Nick Thomas, Ph.D., Principal Scientist, Cell<br />

Technologies, GE Healthcare<br />

Industrial scale production of cardiomyocytes from human stem cells<br />

provides the potential to develop novel and improved physiologically<br />

relevant and human-predictive assays for cardiac drug liabilities. We<br />

have used a four color multi-parameter assay on IN Cell Analyzer to<br />

profile the phenotypic effects of a large panel of anticancer drugs<br />

currently in clinical use and in development. Multi-parameter profiling<br />

and clustering provides an efficient means to characterize cardiotoxic<br />

drug actions and to gain insights into mechanisms of cell injury.<br />

Image Analysis Technology Showcase<br />

1:45-2:15 New Developments in Accelerating Sponsored by<br />

the High-<strong>Content</strong> Screening Work Flow<br />

Grischa Chandy, Product Manager, Cellular Imaging,<br />

Molecular Devices, LLC<br />

Evan F. Cromwell, Ph.D., Director, Research, Molecular Devices, LLC<br />

Next-generation high-content tools for imaging offer automated<br />

techniques for modeling diseases and predictive toxicology. We<br />

will present examples of multi-parametric assays for testing the<br />

effects of compounds in a variety of assays and highlight the new<br />

innovative software that provides step-by-step assistance for designing<br />

customized, reusable, and distributable analysis algorithms.<br />

2:15-2:45 Get the Big Picture in Phenotypic Sponsored by<br />

Screening for Drug Discovery<br />

Oliver Leven, Head, Professional Services, Genedata<br />

High <strong>Content</strong> Screening is now routine in drug<br />

discovery, but integration of the HCS dataflow is still problematic.<br />

HCS images from phenotypic screening are reduced to numerical<br />

results and then are stored in isolated, instrument-specific image data<br />

management systems. Often there is no integration with central result<br />

data warehouses, and assay and compound results may be stored<br />

without any reference back to original image data. We will present<br />

a data management workflow that starts after initial image capture,<br />

supports data analysis and interpretation, and allows result mining using<br />

past experiments and maintains references to well images.<br />

2:45-3:15 Analysis and Reporting for High- Sponsored by<br />

<strong>Content</strong> Screening with FCS Express 4 Image<br />

Cytometry by De Novo Software<br />

David Novo, Ph.D., President & CEO, De Novo Software<br />

De Novo Software has developed premier analysis and reporting tools<br />

for research and clinical flow cytometry for a decade. Leveraging this<br />

experience, we developed an image cytometry package for HCA. A<br />

flow cytometry analysis environment for image cytometry data allows<br />

fully interactive data and image review at a single-cell level. Create<br />

sophisticated reports with 1-click.<br />

Sponsored by<br />

3:15-4:15 Refreshment Break in the<br />

Exhibit Hall with Poster Viewing<br />

PRESENT A POSTER AND SAVE $50!<br />

Cambridge Healthtech Institute encourages attendees to gain further<br />

exposure by presenting their work in the poster sessions. To secure a poster<br />

board and inclusion in the conference materials, your abstract must be<br />

submitted, approved and your registration paid in full by November 16, 2012.<br />

Register online, or by phone, fax or mail. Please indicate that you would<br />

like to present a poster. Once your registration has been fully processed,<br />

we will send an email with a unique link and instructions for submitting<br />

your abstract using our online abstract submission tool. Please see below<br />

for more information.<br />

Reasons you should present your research poster at this conference:<br />

• Your poster will be exposed to our international delegation<br />

• Receive $50 off your registration<br />

• Your poster abstract will be published in our conference materials<br />

• Your research will be seen by leaders from top pharmaceutical, biotech,<br />

academic and government institutes<br />

Note: Posters should be portrait orientation, with maximum<br />

dimensions of 36 inches wide (3 feet) x 48 inches high (4 feet).<br />

High<strong>Content</strong>Analysis.com High-<strong>Content</strong> Analysis | 5


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

3:15-4:15 Refreshment Break in the Sponsored by<br />

Exhibit Hall with Poster Viewing<br />

Novel Biosensor Assays for Screening<br />

4:15-4:40 Development, Optimization and Validation of an<br />

HCS Biosensor Assay to Identify Compounds that Disrupt<br />

AR-TIF2 Protein-Protein Interactions<br />

Paul A. Johnston, Ph.D., Research Associate Professor, Pharmaceutical<br />

Sciences, School of Pharmacy, University of Pittsburgh<br />

High Transcriptional Initiation Factor 2 (TIF2) coactivator expression levels are<br />

associated with prostate cancer (CaP) recurrence after androgen ablation<br />

therapy (AAT). We will describe the development and optimization of a novel<br />

high-content image-based AR-TIF2 protein-protein interaction biosensor<br />

(PPIB) assay that exploits features of protein targeting to organelles, AR and<br />

TIF2 functional domains, and fluorescent reporters to generate positional<br />

biosensors to measure and quantify the interactions between AR and TIF2<br />

in cells. We will validate the performance of the AR-TIF2 PPI HCS assay by<br />

screening the LOPAC and NIH Clinical Collection compound libraries in two<br />

distinct formats; to identify compounds that can either block the formation<br />

or that can disrupt established AR-TIF2 PPI complexes.<br />

4:40-5:05 Novel Approaches to High-<strong>Content</strong> Imaging of<br />

Insulin Receptor Trafficking, Insulin Signaling and Endosomal<br />

Calcium Signaling<br />

James Johnson, Ph.D., Associate Professor, Cellular and Physiological<br />

Sciences, University of British Columbia<br />

We have generated insulin receptor reporters that do not impair<br />

signaling function in cells and will present data on insulin receptor<br />

trafficking and signaling in pancreatic beta-cells. We have developed the<br />

first calcium biosensor capable of measuring calcium in the lumen on<br />

the endosome and will present our analysis of the role for endosomes<br />

as dynamic calcium buffers. We present multiplexing approaches to<br />

generating rich data sets reporting on insulin signaling.<br />

5:05-5:30 High-<strong>Content</strong> Screening for Small Molecule<br />

Inhibitors of HIV Nef<br />

Andreas Vogt, Ph.D., Associate Professor, Drug Discovery Institute,<br />

University of Pittsburgh<br />

The HIV-1 accessory protein Nef is essential for high-titer viral replication<br />

and AIDS progression. The cellular activities of Nef are critically dependent<br />

on a variety of protein-protein interactions, including formation of Nef<br />

oligomers. Nef mutations that interfere with oligomerization prevent HIV<br />

replication in cell culture, suggesting that the Nef oligomerization interface<br />

is a rational target for Nef-directed anti-HIV therapy. In this talk, I will<br />

present the development and validation of a high-content, bimolecular<br />

fluorescence complementation assay for Nef dimerization inhibitors.<br />

HCS at NCATS<br />

5:30-5:55 Supporting Drug Discovery and Reposition in<br />

NCATS Using HCS Technology<br />

Zhuyin (Julie) Li, Ph.D., Biology Team Leader, Division of Pre-Clinical<br />

Innovation, National Center for Advancing Translational Sciences, NIH<br />

The mission of the newly created National Center for Advancing<br />

Translational Sciences (NCATS) in NIH is to catalyze the generation of<br />

innovation methods and technologies that will enhance the development,<br />

testing, and implementation of diagnostics and therapeutics across a wide<br />

range of human diseases and conditions. This presentation will highlight<br />

successful applications of HCS in target validation, compound screening,<br />

MOA study, toxicity investigation and drug repositions in NCATS.<br />

High-<strong>Content</strong> Image and Data Analysis (continued)<br />

4:15-4:40 Using New Cell Dyes and Automated Image<br />

Processing to Evaluate Cellular Responses to Small Molecules<br />

David W. Andrews, Ph.D., Director and Senior Scientist, Biological<br />

Sciences, Sunnybrook Research Institute, Toronto; Professor,<br />

Biochemistry, University of Toronto<br />

Here we describe a simple approach to quantify the responses in<br />

adherent cells to small molecules based on multivariate analysis of<br />

cells stained with new mix and read dyes. These dyes are non-toxic,<br />

non-fluorescent in water and available in several emission/excitation<br />

wavelengths compatible with existing HCA instruments. We compare<br />

multivariate analysis and clustering with more traditional measures<br />

of analysis and find that it provides high Z’ sensitivity and specificity<br />

resulting in improved classification in screening.<br />

4:40-5:05 A Label-Free Random Cell Motility Assay Based<br />

on Image Correlation Spectroscopy<br />

Michael Prummer, Ph.D., Scientist, High-<strong>Content</strong> Screening,<br />

F. Hoffmann-La Roche AG<br />

Cell migration is central to embryonic development, wound healing,<br />

inflammation, and cancer. Sparse metastatic cells or T-cells show<br />

isotropic and random motion, which is difficult to characterize<br />

with classical tools like scratch assays. We use image correlation<br />

spectroscopy (ICS) to quantify the speed and mode of random cell<br />

motility without labeling, identification or trajectory reconstruction. ICS<br />

offers a toolbox to analyze free, directed, hindered, or confined random<br />

walks. The random motility (RAMOT) assay is validated using THP1<br />

immune cells, cytoskeleton modulators and Monte-Carlo simulations.<br />

Combining ICS and HCS, the RAMOT assay opens up new routes in<br />

label-free image-based drug discovery.<br />

5:05-5:30 Image Analysis and Modeling of<br />

Cardiomyocyte Hypertrophy<br />

Jeffrey Saucerman, Ph.D., Assistant Professor, Biomedical<br />

Engineering, University of Virginia<br />

Cardiomyocyte hypertrophy plays a key role in the transition to<br />

heart failure. We are developing automated microscopy and image<br />

analyses to quantify the hypertrophy dynamics of individual live<br />

primary cardiomyocytes. I will present two applications. In the first,<br />

we characterized the kinetics of myocyte hypertrophy in response to<br />

transient receptor agonists. In the second example we used automated<br />

imaging to validate model predictions about the quantitative role of 11<br />

parallel hypertrophy pathways.<br />

5:30-5:55 An Evolving View of Cancer: High-<strong>Content</strong><br />

Analysis and Mathematical Modeling to Study Cancer Cell<br />

Heterogeneity and Resistance<br />

Arijit Chakravarty, Ph.D., Senior Scientist, Modeling and Simulation,<br />

DMPK, Millenium Pharmaceuticals<br />

The changing picture of the landscape of carcinogenesis and tumor<br />

response to therapy frames cancer as a disease of genomic instability<br />

and somatic Darwinian evolution. Developing realistic model systems<br />

and methodologies to study heterogeneity and evolution in populations<br />

of cancer cells would be the first step in leveraging the emerging<br />

picture of cancer in oncology drug development. In this presentation I<br />

will discuss the challenges posed by tumor heterogeneity and evolution,<br />

and the methods by which high-content analysis techniques, coupled<br />

with mathematical modeling, allow us to study this process.<br />

6:00-7:00 Networking Reception in the Exhibit Hall with Poster Viewing Sponsored by<br />

Phenotypic Drug Discovery<br />

6 | High-<strong>Content</strong> Analysis High<strong>Content</strong>Analysis.com


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

Thursday, January 10, 2013<br />

7:30-8:15 am Breakfast Presentation Sponsored by<br />

Spots to Spheres: Parasites to 3-D Cancer Models for Drug Discovery<br />

Vicky M. Avery, Ph.D., Professor, Chief Investigator and Head, Discovery Biology (Avery Lab), Eskitis Institute for Cell &<br />

Molecular Therapies, Griffith University<br />

The focus of our laboratory is drug discovery and how we can improve the process, or obtain more information from the data we generate. This<br />

presentation will provide exemplars of the image-based assays utilized to identify new small molecule inhibitors and modulators of parasitic<br />

diseases and cancer, as well as those used to investigate the mechanisms involved.<br />

8:15-8:25 Award Presentations<br />

Cellume Award<br />

Poster Competition<br />

GE Image Competition<br />

Sponsored by<br />

Sponsored by<br />

8:25-8:30 Chairperson’s Opening Remarks<br />

8:30-8:55 The Value of Phenotypic Assays to Drug Discovery<br />

David C. Swinney, Ph.D., CEO, Institute for Rare and Neglected<br />

Diseases Drug Discovery (iRND3)<br />

Drug discovery strategies include target-based molecular approaches and<br />

phenotypic-based empirical approaches. Our recent analysis revealed the<br />

phenotypic approach as the more successful strategy for first-in-class<br />

medicines. We rationalized that this success was influenced by the unbiased<br />

identification of a molecular mechanism of action (MMOA) that contributed to<br />

a useful therapeutic index. The value and success of phenotypic approaches<br />

will be further increased through efforts to bridge the gap between molecular<br />

approaches and phenotypic approaches such that once an effective MMOA<br />

has been confirmed with phenotypic assays, molecular approaches can be<br />

efficiently utilized to optimize leads to medicines.<br />

8:55-9:20 Modern Phenotypic Drug Discovery Is a Viable<br />

Pharma Strategy<br />

Jonathan A. Lee, Ph.D., Senior Research Advisor, Quantitative Biology,<br />

Eli Lilly & Co.<br />

The majority of first-in-class NMEs originate from phenotypic screening<br />

(PS); however, this approach is not commonly used by the pharmaceutical<br />

industry. We addressed perceived issues with PS by conducting an antiangiogenesis<br />

MTS. Identification of novel chemical scaffolds that are<br />

differentiated, structurally and mechanistically, from anti-angiogenic standards<br />

of care and which modulate molecular targets not previously associated with<br />

angiogenesis demonstrates that PS interrogates relevant biology regardless<br />

of target validation status. Modern PS combines the biological complexity<br />

of physiology-based systems with the high-throughput compound testing<br />

capacity and operational robustness of biochemical methodologies.<br />

9:20-9:45 High-<strong>Content</strong> Phenotypic Screening for Target<br />

Identification at Pfizer: High-Throughput Flow Cytometry<br />

and Live-Cell Imaging of Human Primary Cells<br />

Regis Doyonnas, Ph.D., Senior Principal Scientist, Stem Cell<br />

Engineering and High-<strong>Content</strong> Screening Lab, Hit Discovery and Lead<br />

Profiling, PDM-NCE, Worldwide Research & Development, Pfizer<br />

9:45-10:45 Coffee Break in the Exhibit Hall Sponsored by<br />

with Poster Viewing<br />

3-D Cell-Based Assays<br />

8:25-8:30 Chairperson’s Opening Remarks<br />

8:30-8:55 Overcoming the Challenges of Implementing 3-D Cell-<br />

Based Assays in Automated High-<strong>Content</strong> Screening Workflows<br />

Anthony M. Davies, Ph.D., Director, Irish National Center for High-<br />

<strong>Content</strong> Screening and Analysis (INCHA)<br />

To meet the needs of our in-house drug discovery and target identification<br />

programs, we have developed a novel 3-D cell culture system that has<br />

been specifically designed for use with HCS/A imaging and automated<br />

liquid handling. Unlike the 3-D assay systems currently used, our<br />

technology does not rely upon solid gel matrices, scaffolds, micropatterned<br />

surfaces or hanging drop assay systems to achieve reproducible<br />

cancer spheroid growth, hence offering advantages in flexibility and ease<br />

of use in an HCS/HTS environment. In this presentation we examine<br />

(i) Some of the most commonly used 3-D assay systems and their<br />

advantages and disadvantages when used in conjunction with HCA; (ii)<br />

In the same context we will also present our own 3-D cell suspension<br />

technology and the latest data derived from its use.<br />

8:55-9:20 3-D Hepatocyte Culture to Profile Compounds<br />

Marc Bickle, Ph.D., Head, HT Technology Development Studio, Max<br />

Planck Institute of Molecular Cell Biology and Genetics<br />

3-D cell culture increases the physiological relevance of cellular systems.<br />

In this context we have established a 3-D hepatocyte cell culture system,<br />

where polarized hepatocytes form bile canaliculi. In this system we<br />

have established assays to probe secretion, endocytosis, mitochondria,<br />

peroxisomes, autophagy and lipid droplets in order to profile compound<br />

action on these various cellular pathways. These assays will help predict<br />

the toxicity of compounds and establish their mode of action.<br />

9:20-9:50 Sponsored Presentations<br />

(Opportunities available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

9:50-10:45 Coffee Break in the Exhibit Hall Sponsored by<br />

with Poster Viewing<br />

High<strong>Content</strong>Analysis.com High-<strong>Content</strong> Analysis | 7


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

Studying the Tumor Microenvironment:<br />

HCA of 3-D Tumor Spheroids<br />

10:45-11:10 3-D High-<strong>Content</strong> Screening for the Identification<br />

of Compounds that Target Chemo-Resistant Tumor Cells<br />

Carsten Wenzel, High-<strong>Content</strong> Analysis, Bayer Healthcare<br />

Limited predictability of cellular assays based on 2-D cell culture for the<br />

efficacy of drug candidates in vivo has fostered the search for novel culture<br />

techniques for drug discovery in oncology. Based on significant differences<br />

in gene expression between cells cultured in 2-D and 3-D, as well as<br />

more physiological growth conditions that resemble the situation in tumor<br />

tissue, spheroid-based 3-D cell culture is being recognized as a potential<br />

test platform to better predict drug efficacies in vivo. Here, we present our<br />

current work on evaluating and implementing different methods for the<br />

automated generation of 3-D spheroids in microtiterplates, visualization<br />

of selected markers, automated microscopy and image analysis. By this<br />

approach we identified several compounds that specifically target cells in<br />

quiescent tumor spheroid core regions. Additionally we could show that<br />

these hits, combined with cytostatics, show a significant increase in cell<br />

death in our spheroid model compared to single treatment conditions.<br />

11:10-11:35 Elucidation of Cell Signaling Using High-<strong>Content</strong><br />

Imaging of Patient-Derived Breast Tumor Spheroids with<br />

Cancer Stem Cell Characteristics<br />

Fredika M. Robertson, Ph.D., Professor, Experimental Therapeutics,<br />

Center for Targeted Therapy, Translational Therapeutics Laboratory,<br />

University of Texas MD Anderson Cancer Center<br />

Using tumor spheroids, we have identified specific gene signatures<br />

and genetic abnormalities that are involved in cancer metastasis which<br />

we find to be associated with changes in cell signaling pathways that<br />

can be targeted using small molecule inhibitors. This presentation will<br />

discuss the use of the combination of high-content live-cell imaging,<br />

confocal microscopy, flow cytometry, and histological approaches that<br />

allow imaging of these surrogates of metastasis and the evaluation of<br />

a patient’s tumor cells for drug responses in real time.<br />

11:35-12:00 pm 4-D MAME Models for Live-Cell Imaging<br />

of Interactions between Breast Tumor Cells and Their<br />

Microenvironment: Adapting for Compound Screening<br />

Bonnie Sloane, Ph.D., Distinguished Professor and Chair,<br />

Pharmacology and Karmanos Cancer Institute, Wayne State University<br />

To define druggable pathways involved in breast cancer progression, our<br />

laboratory has pioneered the development of techniques for functional<br />

imaging of protease activity associated with live human breast cells and<br />

of 3- and 4-D co-culture models that recapitulate breast tumor architecture<br />

as well as the cellular and non-cellular tumor microenvironment, i.e.,<br />

MAME (mammary architecture and microenvironment engineering)<br />

models. Use of these techniques and models in concert with various<br />

types of imaging probes has allowed us to image, quantify and follow<br />

the dynamics of proteolysis in the tumor microenvironment and to test<br />

interventions that impact directly or indirectly on proteolytic pathways.<br />

12:00-12:25 The Multicellular Tumor Spheroid: A Systems<br />

Biology Approach for High-<strong>Content</strong> Imaging and Cancer<br />

Drug Discovery<br />

Daniel V. LaBarbera, Ph.D., Assistant Professor, Pharmaceutical<br />

Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences,<br />

University of Colorado<br />

In vitro 3-D models, particularly multicellular tumor spheroids (MCTS), offer<br />

a systems biology approach to bridge information from in silico, molecular<br />

target, and 2- D cell-based screening, with in vivo models to increase the<br />

predictability of cancer drug discovery. Here we will discuss our current<br />

research targeting the metastatic phenotype in cancer using MCTS models<br />

suitable for high-content imaging.<br />

12:25-1:55 Enjoy Lunch on Your Own<br />

8 | High-<strong>Content</strong> Analysis High<strong>Content</strong>Analysis.com


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

Phenotypic Drug Discovery (continued)<br />

10:45-11:10 A Chemical Approach to Controlling Cell Fate<br />

Sheng Ding, Ph.D., William K. Bowes, Jr. Distinguished Investigator<br />

and Professor, Pharmaceutical Chemistry, Gladstone Institute of<br />

Cardiovascular Disease, University of California San Francisco<br />

Recent advances in stem cell biology may make possible new<br />

approaches for the treatment of a number of diseases. A better<br />

understanding of molecular mechanisms that control stem cell fate as<br />

well as an improved ability to manipulate them are required. Toward<br />

these goals, we have developed and implemented high-throughput<br />

cell-based phenotypic screenings of arrayed chemical libraries to<br />

identify and further characterize small molecules that can control stem<br />

cell fate in various systems. This talk will provide the latest examples<br />

of discovery efforts in my lab that have advanced our ability and<br />

understanding toward controlling stem cell fate, including self-renewal,<br />

survival, differentiation and reprogramming of pluripotent stem cells.<br />

11:10-11:35 Screening of Protein Kinase Inhibitors to<br />

Identify Target and Liability Kinases in Axon Growth<br />

John L. Bixby, Ph.D., Professor, Pharmacology and Neurological<br />

Surgery; Vice Provost for Research, University of Miami<br />

We screened 995 protein kinase inhibitors (PKIs) in primary neurons to<br />

identify critical kinase targets and “hit” PKIs that promote growth of<br />

neuronal processes. We analyzed the activity profiles of hit and non-hit<br />

PKIs against a kinase panel, narrowing the set of informative kinases.<br />

A machine learning model was trained using these kinases and will be<br />

used to perform in silico searches for novel hits using experimentally<br />

acquired or predicted activity profiles. Our novel approach allows us<br />

to search for hits based on biochemical profiles rather than SAR, and<br />

addresses the problem of PKI polypharmacology.<br />

11:35-12:00 pm Zebrafish as a Tool for Rapid, in vivo<br />

Identification of Complex Behavioral Chemotypes<br />

Andrew J. Rennekamp, Ph.D., Postdoctoral Researcher,<br />

Cardiovascular Research Center and Division of Cardiology,<br />

Massachusetts General Hospital, Harvard Medical School<br />

Zebrafish larvae are well suited for in vivo, high-content screens and<br />

yet they are neurocompetent organisms exhibiting complex behavioral<br />

phenotypes with neurophysiology that is remarkably similar to humans.<br />

Using zebrafish, we have identified several reproducible behaviors<br />

amenable to high-content screening. By probing these behavioral<br />

phenotypes with compounds having known pharmacological targets<br />

in humans, we are able to identify neurological pathways relevant to<br />

human diseases. Subsequently, we are able use the zebrafish as a<br />

tool for the identification of novel drugs which perturb those important<br />

pathways via previously unknown mechanisms.<br />

12:00-12:25 Image-Based High-Dimensional Profiling of<br />

Cell Response to Perturbation<br />

Auguste Genovesio, Ph.D., Group Leader, Image Analysis, Broad<br />

Institute of MIT and Harvard<br />

From each image in a high-content experiment, hundreds of cells<br />

can be detected and analyzed leading to millions of high-dimensional<br />

cell profiles for an experiment. These profiles may be a rich source of<br />

information about the corresponding RNAi or small molecule treatments,<br />

revealing complex and subtle phenotypes and identifying families of<br />

treatment conditions. How to maximize the insights gained from these<br />

huge datasets is currently a challenging question for the community. In<br />

this talk, we discuss the data analysis of high dimensional datasets of<br />

this kind and show applications in drug discovery and basic research.<br />

HCA of Stem Cells<br />

1:55-2:00 Chairperson’s Opening Remarks<br />

2:00-2:25 Development of Screening Platforms for<br />

Modifiers of Cell Fate in Human Pluripotent Stem Cells<br />

April Pyle, Ph.D., Assistant Professor, Eli & Edythe Broad Center<br />

of Regenerative Medicine and Stem Cell Research, University of<br />

California, Los Angeles<br />

Differentiated cells from human pluripotent stem cells (hPSCs) provide an<br />

unlimited source of cells for use in regenerative medicine. However, prior<br />

to establishment of patient specific cells for cell therapy it is important<br />

to understand the basic regulation of cell fate decisions in hPSCs. One<br />

caveat is that hPSCs survive poorly upon dissociation, which limits<br />

genetic manipulation because of poor cloning efficiency of individual<br />

hPSC, and hampers production of large-scale culture of hPSCs. Improving<br />

our understanding of pathways that are important for hPSC growth<br />

could improve our ability to culture, differentiate and derive new hPSCs.<br />

Our large scale screening work provides a comprehensive evaluation of<br />

chemical space for modifiers of cell fate in hPSCs.<br />

2:25-2:50 Patient-Specific Cell-Based Disease Models for<br />

Drug Discovery<br />

Anne Bang, Ph.D., Director, Cell-Based Disease Modeling and<br />

Screening, Sanford-Burnham Medical Research Institute<br />

Patient-specific primary cells and induced pluripotent stem cells (iPSCs)<br />

complement traditional cell-based drug discovery assays, allowing testing<br />

on differentiated features not reflected by immortalized lines. We used<br />

patient cells to develop a phenotypic assay for muscular dystrophy<br />

that distinguishes between affected and unaffected siblings, faithfully<br />

recapitulating key molecular features of the disease. A high-content screen<br />

of patient cells was conducted with the goals of identifying early treatment<br />

candidates, and probes to gain a greater understanding of underlying<br />

cellular defects. We will discuss screening results and development of<br />

iPSC-based models for testing of drugs on disease relevant cell types.<br />

2:50-3:15 HCS to Discover Drugs for Heart Failure<br />

Mark Mercola, Ph.D., Professor and Director, Muscle Development and<br />

Regeneration Program, Sanford-Burnham Medical Research Institute<br />

There is an urgent need for therapies that reverse the course of<br />

ventricular dysfunction in heart failure, which remains a leading cause<br />

of morbidity and mortality in Western countries. Current therapies<br />

do not treat the underlying cause—death or damage of heart muscle<br />

cells combined with increased scarring. Our research is focused on<br />

developing high-content screening assays and instrumentation to<br />

discover targets and screen for molecules active in cardiac regeneration<br />

and cardiomyocyte contractility. The presentation will discuss<br />

modeling regeneration using stem cells in high-throughput analysis of<br />

cardiomyocyte physiology, and demonstration of small molecules that<br />

promote differentiation and RNA molecules that sustain contractility in<br />

the failing heart.<br />

3:15-4:15 Refreshment Break in the Sponsored by<br />

Exhibit Hall with Poster Viewing<br />

12:25-1:55 Enjoy Lunch on Your Own<br />

High<strong>Content</strong>Analysis.com High-<strong>Content</strong> Analysis | 9


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

Digital Pathology and Tissue Diagnostics<br />

1:55-2:00 Chairperson’s Opening Remarks<br />

2:00-2:25 Digital Pathology: Development, Challenges and<br />

Strategies Using HCA to Measure in vivo Responses<br />

Joe Trask, Ph.D., Head, Cellular Imaging Core, The Hamner Institutes<br />

for Health Sciences<br />

In this talk I will discuss the similarities between digital pathology and<br />

high-content analysis and how these disciplines when taken together<br />

are used to extract in-depth multiparameteric data to better understand<br />

the biological outcome from in vivo response from tissue sections.<br />

In a test case scenario of a small animal study, rats were treated<br />

with a synthetic steroidal antiandrogen drug cyproterone acetate<br />

(CPA) or 2,3,7,8-Tetrachlorodibenzo-p-dioxin (2,3,7,8-TCDD); whole<br />

liver sections were isolated, processed, and labeled with multiple<br />

probes to identify cellular damage including apoptosis using activated<br />

caspase-3, TUNEL, and nuclei with either fluorescent or chromagen<br />

indicators. I will discuss the limitation of imaging technology to capture<br />

tissue sections, the challenges and the methods employed to address<br />

autofluorescence in liver tissue and development of a multiplexed<br />

bioprobe assay using automated image analysis techniques.<br />

2:25-2:50 High-<strong>Content</strong> Analysis of Peripheral Patient<br />

Tissues for Analyzing Biological Processes and Drug<br />

Response in Neurodegeneration<br />

Justin D. Boyd, Ph.D, Scientist, Laboratory of Drug Discovery in<br />

Neurodegeneration, Harvard NeuroDiscovery Center, Harvard<br />

Medical School, Brigham and Women’s Hospital<br />

Neurodegeneration is ranked among the top causes of death in the<br />

United States. The majority of neurodegenerative diseases have no<br />

effective therapy. A challenge to discover disease-modifying drugs for<br />

neurodegeneration is that the diseases manifest in the brain. But what<br />

if we could use blood to monitor a disease process Processes that<br />

contribute to the degeneration in the brain have been reported in blood.<br />

We are developing a platform to monitor a disease process in blood cells<br />

from neurodegenerative disease patients to 1) characterize different<br />

forms of the disease as they relate to these processes, 2) to identify<br />

drugs that elicit a modification of a disease-causing dysfunction and 3) to<br />

identify patients most likely to respond to specific treatments.<br />

2:50-3:20 Sponsored Presentations<br />

(Opportunities available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

Sponsored by<br />

3:20-4:15 Refreshment Break in the<br />

Exhibit Hall with Poster Viewing<br />

RNAi Screens<br />

4:15-4:40 SeedSeq—Off-Target Transcriptome Database<br />

Karol Kozak, Ph.D., Head, Data Handling Unit and High-<strong>Content</strong><br />

Screening, ETH Zurich<br />

Owing to a tolerance for mismatches and gaps in base-pairing with<br />

target transcripts, small RNAs could have up to hundreds of potential<br />

target sequences in a genome, and some small RNAs in mammalian<br />

systems have been shown to affect the levels of many messenger<br />

RNAs (off-targets) besides their intended target transcripts (ontargets).<br />

The Reference Sequence (RefSeq) collection aims to provide<br />

a comprehensive, integrated, non-redundant, well-annotated set of<br />

sequences, including mRNA transcripts. We performed a detailed<br />

analysis of off-targeted transcripts based on latest RefSeq version.<br />

We developed SeedSeq, an extended version of the RefSeq database<br />

including information about off-target transcripts.<br />

4:40-5:05 A Genome-Wide RNAi Screen Using C. elegans<br />

Identifies a Drug that Protects against Toxicity Associated<br />

with Protein Aggregation<br />

Stephen C. Pak, Ph.D., Assistant Professor, Pediatrics, University of<br />

Pittsburgh School of Medicine<br />

The accumulation of misfolded protein aggregates within cells is<br />

a common cause of tissue injury and degenerative disease (e.g.,<br />

Alzheimer’s, Huntington’s, ALS and alpha-1-antitrypsin (AT) deficiency).<br />

To better understand the genetic factors that influence pathogenesis<br />

of protein aggregation disorders, we modeled AT-deficiency in a<br />

microscopic nematode, C. elegans. Transgenic animals expressing the<br />

mutant AT protein accumulated large intracellular aggregates, similar to<br />

those detected in human hepatocytes. Using the ArrayScanVTi imaging<br />

platform, we developed a high-content assay for the quantification<br />

of misfolded protein accumulation. Using whole, live animals, we<br />

performed a genome-wide RNAi screen to identify genetic modifiers<br />

of AT-deficiency. Moreover, using computational methods, we found<br />

compounds with known inhibitory activity against the genetic modifiers.<br />

When tested in human cell models of AT-deficiency, one compound<br />

significantly reduced accumulation of mutant AT protein aggregates.<br />

5:05-5:30 High-<strong>Content</strong> Assays to Assess Cellular<br />

Stress Responses<br />

Hakim Djaballah, Ph.D., Director, HTS Core Facility, Molecular Pharmacology<br />

and Chemistry Program, Memorial Sloan-Kettering Cancer Center<br />

High-content assays provide the ultimate measure of cellular stress<br />

responses. We explored this feasibility by investigating responses upon<br />

exposure to chemicals, or during DNA/RNA transfection using an in-house<br />

developed panel of indicators/reporters. This has allowed for the first time the<br />

ability to classify both performance and cytotoxicity of these various agents.<br />

I will describe our established platform and discuss our results, especially<br />

regarding the use of transient transfection in chemical and RNAi screening.<br />

6:00-9:00 Dinner Course*<br />

Biting into Big Data: Advanced Data Analysis for Phenotypic Screening<br />

Instructor: Mark A. Collins, Ph.D., CEO, PurpleBio Consulting<br />

With the continued resurgence of phenotypic drug discovery, driven in part<br />

by high-content technologies (imaging, flow, etc.) there is now a demand<br />

for appropriate methods of analysis and mining of this rich multi-parameter<br />

“big data.” This dinner course aims to lay out in practical terms, the<br />

design of experiments for PDD campaigns and the biological relevance of<br />

phenotypic “fingerprints”; analysis and quality control of multi-parameter<br />

phenotypic data; data-mining of phenotypic fingerprints and large-scale<br />

meta-analyses of phenotypic data coupled with other information, e.g.<br />

genome and structure activity relationships (SAR). In addition tools,<br />

resources and strategies for implementing phenotypic screening data<br />

analysis will be discussed.<br />

Drawing on data sets from both published papers and case-studies<br />

from high-content analysis and flow, the course attendees will gain a<br />

clear understanding of the practical approaches to maximizing the value<br />

from multi-parameter data and how to implement them in their own<br />

organization. This course will be a lively mix of interactive discussion,<br />

presentations and networking. Attendees will receive a comprehensive<br />

course book and web resources.<br />

*Separate registration required<br />

10 | High-<strong>Content</strong> Analysis High<strong>Content</strong>Analysis.com


Cambridge Healthtech<br />

Institute’s TENTH Annual<br />

January 8-11, 2013<br />

High-<strong>Content</strong><br />

Analysis<br />

Anniversary<br />

Friday, January 11, 2013<br />

Live-Cell Imaging Workshop*<br />

8:30-8:35 am Chairperson’s Opening Remarks<br />

8:35-9:00 FLIM HCA from Automated Multiwell Plate Assays<br />

to Live Disease Models<br />

Paul French, Ph.D., Professor, Physics; Head, Photonics Group,<br />

Imperial College London<br />

This talk will outline advances in our multidimensional fluorescence imaging<br />

platform to assay biomolecular interactions across the scales from cuvette<br />

and cell-based assays to live organisms. In particular, I will report on a rapid<br />

automated FLIM-FRET multiwell plate reader based on time-gated imaging,<br />

including an assay of HIV Gag protein oligomerisation where we achieve Z’<br />

factors > 0.6, and on 3-D FLIM and FRET of live zebrafish and mice using<br />

time-gated imaging combined with optical tomography.<br />

9:00-9:25 Localization of Tryptophan and NADH Interactions<br />

Using Three-Photon FLIM-FRET Microscopy<br />

Ammasi Periasamy, Ph.D., Professor, Biology; Director, W.M. Keck<br />

Center for Cellular Imaging (KCCI), University of Virginia<br />

Recent reports link tryptophan (TRP) metabolic activity to cancer<br />

development and progression. Increased TRP degradation may also occur in<br />

early-stage breast and lung cancer. To quantitate the TRP and nicotinamide<br />

adenine dinucleotide (NADH) interaction, we developed a novel three-photon<br />

excitation (3PE) fluorescence lifetime imaging and Förster resonance energy<br />

transfer (FLIM-FRET) microscopy method, able to differentiate tumorigenic<br />

from non-tumorigenic human live cells. Based on perturbation studies, where<br />

the addition of glycolytic substrates significantly quenches TRP lifetimes in<br />

tumorigenic HeLa cells, our results demonstrate the potential use of 3PE-<br />

FLIM-FRET as a tool for screening in the early stages of cancer.<br />

9:25-9:50 Monitoring Dynamic Protein Interactions in the<br />

Living Cell Nucleus<br />

Richard Day, Ph.D., Professor, Cellular and Integrative Physiology,<br />

Indiana University School of Medicine<br />

A critical challenge for public health research is to identify the molecular<br />

mechanisms that function in the dynamic control of the epigenome. The<br />

heterochromatin protein 1 alpha (HP1α) coordinates a network of protein<br />

interactions critical for epigenetic regulation during cellular differentiation, but<br />

the underlying mechanisms are not well understood. We are using frequency<br />

domain fluorescence lifetime imaging microscopy (FLIM) and Förster<br />

resonance energy transfer (FRET) to detect steady-state protein interactions<br />

involving HP1α. Combined with fluorescence correlation spectroscopy (FCS) to<br />

characterize the sub-nuclear protein diffusion, these techniques provide novel<br />

insights into protein network interactions inside the living cell nucleus.<br />

9:50-10:20 Sponsored Presentations<br />

(Opportunities available. Contact Katelin Fitzgerald at kfitzgerald@<br />

healthtech.com or 781-972-5458.)<br />

10:20-11:10 Coffee Break<br />

11:10-11:35 High-<strong>Content</strong> Screening with Secreted Peptides<br />

Produced by an in vitro Co-Culture Strategy<br />

Peter Antinozzi, Ph.D., Assistant Professor, Biochemistry, Wake Forest<br />

School of Medicine<br />

The proposed talk features a unique screening strategy which utilizes inwell<br />

synthesis of secreted proteins. This method circumvents the often<br />

difficult process of producing bioactive proteins by utilizing co-cultured<br />

cells which enable efficient post-translational modifications of secreted<br />

proteins. Two examples are demonstrated with high-content live-cell<br />

imaging of proliferation and cell survival events.<br />

11:35-12:00 pm FUEL for Thought: A Novel Approach to<br />

Detect Spatial Proximity on Mesoscopic Scales in vitro and<br />

in vivo Using Luminescence Excitation<br />

Spencer L. Shorte, Ph.D., Director, Plateforme d’Imagerie Dynamique<br />

(PFID), Imagopole, Institut Pasteur<br />

Bioluminescence Resonance Energy Transfer (BRET) improves the<br />

sensitivity of bioluminescence by red-shifting blue photons, and<br />

provides a measure of molecular co-localization at distances of up to<br />

10nm. However, BRET detection methods may overlook long-distance,<br />

radiating energy excitation-emission effects that are significant in the<br />

bioluminescent detection regime. Fluorescence by Unbound Excitation<br />

from Luminescence (FUEL) describes this radiating luminescence effect<br />

that excites fluorophores by epifluorescence at distances far beyond<br />

10nm, many microns, or even millimeters away in a manner completely<br />

distinct from BRET. Further, we show that detection of FUEL per se is<br />

sufficient to provide a detection of long-distance proximity in, and beyond<br />

the microscopic range both in vitro and in vivo. By enabling detection of<br />

mesoscopic proximity between luminescent and fluorescent probes in the<br />

context of living biological tissues FUEL promises utility as a novel tool for<br />

high-content analysis in cell and animal models.<br />

12:00-12:25 Tracking “DNA Repair Centers” in Living<br />

Mammalian Cells<br />

Sylvain Costes, Ph.D., Principal Investigator, Cancer and DNA Damage<br />

Response, Lawrence Berkeley National Laboratory<br />

Upon DNA damage, nuclear sub-domains are formed in the nucleus. These<br />

radiation-induced foci (RIF) are characterized by the local recruitment of<br />

DNA damage sensing proteins such as p53 binding protein (53BP1). We<br />

recently hypothesized that protein recruitment occurs in specific nuclear<br />

regions called “repair centers.” By integrating a small X-ray device with a<br />

microfluidics system on a fluorescent light microscope, we can monitor<br />

various mammalian cells expressing 53BP1-GFP while being exposed to<br />

ionizing radiation. Using novel RIF counting algorithms and cell tracking<br />

algorithms, the formation of DNA repair factories will be discussed as a<br />

function of cell cycle, cell lineage and cell type.<br />

12:25-12:50 Dynamic Imaging for High-<strong>Content</strong> Analysis of<br />

Three-Dimensional Tissue<br />

David Nolte, Ph.D., Professor, Physics, Purdue University<br />

An innovative label-free non-invasive imaging technology called Tissue<br />

Dynamic Imaging (TDI) extracts high content from live three-dimensional<br />

tissue culture responding to pharmaceuticals. Coherence-gated dynamic light<br />

scattering captures cellular dynamics through ultra-low-frequency speckle<br />

fluctuations that encode a broad range of cellular and subcellular motions as a<br />

new form of functional imaging contrast. The motions are altered by different<br />

mechanisms of action and generate drug-response spectrograms that act<br />

as fingerprints for phenotypic profiling. Applications span from early drug<br />

candidate screening to point-of-care and personalized medicine.<br />

12:50-1:15 Time-Lapse Imaging of Promoter Reporters in<br />

Stem Cell Colonies<br />

Anne L. Plant, Ph.D., Leader, Cell Systems Science Group, Biochemical<br />

Science Division, National Institute of Standards and Technology<br />

Much of our knowledge of stem cell lineage progression comes from studies<br />

involving fixed time points. We are developing image collection and analysis<br />

protocols for tracking pluripotent and differentiated cells by time lapse<br />

microscopy. Because the same individual cells and colonies can be observed<br />

over long times (>4 days), we can examine gene expression dynamics<br />

and heterogeneity and relate these features with changes in morphology,<br />

proliferation, location, and differentiation status in individual cells and colonies.<br />

Temporal features of promoter reporters can provide information that can<br />

lead to mathematical prediction of the kinetics of cell fate.<br />

1:15 Close of Conference *Separate registration required<br />

High<strong>Content</strong>Analysis.com High-<strong>Content</strong> Analysis | 11

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