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Day1

Day2

Day3

Thursday, April 12

8:30    Chairperson’s Opening Remarks

Robert S. Negm, Ph.D., Vice President, GenTel BioSciences

Keynote Presentations:

8:40    Step 1: Harvest Tissue; Step 2: Prepare Template

Michael Brownstein, M.D., Director of Functional Genomics, Craig Venter Institute

Investigators who are new to the field of functional genomics are put off by the apparent difficulties inherent in labeling probes, hybridizing and washing arrays, and analyzing results.  This is perfectly appropriate, but assuming that preparing nucleic acids for one’s studies is trivial, would be incorrect.  Attention to detail and quality control are essential and different applications demand different templates.  I will give examples of the latter and describe novel amplification methods that allow experiments to be done today that were impossible to imagine a few years ago.   

9:20    Robust Data, Robust Algorithms: From Preanalytical Variability to Bioinformatic Analysis

Dr. Stephen R. Master, Assistant Professor, Department of Pathology and Laboratory Medicine, University of Pennsylvania Health System

Several recent studies have demonstrated the importance of controlling preanalytical variability during sample collection for genomic and proteomic assays.  Further, both preanalytic and analytic variation can have a profound impact on the ultimate outcome of highly multiplexed diagnostic tests.  We will discuss sources of this variation as well as the importance of choosing appropriate bioinformatic analyses in in order to maintain test quality.

10:00  Grand Opening Refreshment Break in Exhibit Hall

11:00  Chairperson’s Remarks

Robert S. Negm, Ph.D., Vice President, GenTel BioSciences

11:05  Global Changes in microRNA Expression during Human Embryonic Stem Cell Differentiation

Christoph Adams, Ph.D.,  Research Area Manager/Epigenetics, Life Sciences Division, Invitrogen Corporation

Recent studies have indicated that miRNA, a class of non-coding small RNA that participate in the regulation of gene expression, may play a role in stem cell self renewal and differentiation. The NCodeTM  miRNA Labeling System, in conjunction with the NCodeTM Multi-Species miRNA Microarray, provides a simple and quick screen of  miRNA populations in any given cell type. Using these analytical tools, we profiled the global miRNA patterns between undifferentiated human embryonic stem cells, 14 day-old embryoid bodies, and terminally differentiated cell types and identified differentially expressed miRNAs that make useful markers for stem cell staging.Understanding the pathways and mechanisms of miRNA-directed epigenetic regulation of gene expression during the process of differentiation in stem cells might allow for development of better tools to regulate this process effectively.

11:35 A High-Content MicroRNA Array for Analyzing the Expression of Verified and Predicted Small, Non-Coding RNAs

Mike Wilson, Ph.D., Senior Scientist, Asuragen Services, Asuragen

We have designed a custom microRNA (miRNA) microarray that contains probes for 15,000 putative miRNAs selected from multiple sources, including the Sanger miRBase database, published reports, and a proprietary database of predicted miRNAs. We assessed the reproducibility, relative sensitivity, and dynamic range of the platform, along with its concordance between two alternative technologies. In addition to exhibiting excellent performance characteristics, the array detected expression for many of the novel, putative miRNAs in different tissues. In order to explore the relevance of this platform for preclinical discovery of candidate diagnostic biomarkers and therapeutic targets, we will analyze a collection of cancer tumors and normal adjacent tissues. We expect to present this data that illustrates the technological and biological utility of a custom, high-content miRNA microarray for comprehensive expression profiling of novel miRNAs.

12:05 Clinical Implementation of a Targeted CGH- Based Microarray for Detection of Chromosomal Abnormalities in 5000 Clinical Cases

Sau W. Cheung, Ph.D., MBA, Director, Kleberg Cytogenetics Laboratory, Baylor College of Medicine

We report the outcome of array Comparative Genomic Hybridization (aCGH) in 5000 consecutive cases for evaluation of individuals with birth defects, dysmorphic features and mental retardation. The targeted arrays consist of 853 FISH-verified BAC/PAC clones designed for detection of >70 genomic disorders caused by microdeletion and duplications, as well as detection of submicroscopic copy number changes in the 41 subtelomeric regions and 43 pericentromeric regions known to be associated with mental retardation. Overall, aCGH identified clinically relevant abnormalities in 9% patients and copy number variations of uncertain significance in 9.6% of the patients. Of the latter, over 80% were interpreted as familial variants.  aCGH in this large clinical cohort demonstrates improved sensitivity of this technology for detection of clinical relevant genomic imbalances. Detailed findings of these genomic imbalances, and examples of confirmatory studies using whole genome oligoarray to further delineate the breakpoints of these genomic imbalances will be presented.

12:35  Feed the Mind and the Body –
(Luncheon Seminar Sponsorship Available)

2:00    Novel Prognosis Prediction Model for Human Breast Cancer Patients Based on a Heterologous Tissue Culture Gene Expression Signature

Eun Sung Park, Ph.D., Laboratory of Genetics, Center for Cancer Research, National Cancer Institute, NIH

We developed mRNA expression based models that can predict prognosis/outcomes of human breast cancer patients regardless of microarray platform and patient group. Our model was developed using genes differentially expressed in mouse plasma cell tumors growing in vivo versus those growing in vitro. The prediction system was validated using published data from three cohorts of patients for whom microarray and clinical data had been compiled and proved to be a significantly improved survival predictor over other expression-based models.

2:30    TBA

3:00    MIRA-Assisted Microarrays for Cancer Diagnosis

Tibor A. Rauch, Ph.D., Research Fellow, Beckman Research Institute, City of Hope National Medical Center

The methylated-CpG island recovery assay (MIRA), which is based on the high affinity of the MBD2/MBD3L1 complex for methylated DNA, has been used to detect cancer-specific differences in DNA methylation on microarray platforms. We demonstrated the feasibility of using MIRA in combination with Affymetrix promoter arrays, NimbleGen genome tiling arrays and Agilent CpG island arrays. MIRA-assisted microarray can provide the opportunity for genome-wide analysis of DNA methylation patterns in human cancers. Using this approach we identified early methylation markers for lung squamous cell carcinoma.

3:30    Refreshment Break in Exhibit Hall

4:15    Molecular Diagnostics for Parkinson’s Disease Based on Gene Expression in Blood

Clemens R. Scherzer, M.D., Associate Neurologist, Center for Neurologic Diseases, Harvard Medical School and Brigham and Women’s Hospital

We performed a transcriptome-wide scan in 105 individuals to interrogate the molecular processes perturbed in cellular blood of patients with early-stage PD. The molecular multigene marker here identified is associated with risk of PD in 66 samples of the training set comprising healthy and disease controls.  It is further validated in 39 independent test samples. Insights into disease-linked processes detectable in peripheral blood are offered by 22 unique genes differentially expressed in patients with PD versus healthy individuals. These include the co-chaperone ST13 that stabilizes heat shock protein 70, a modifier of alpha-synuclein misfolding and toxicity. ST13 messenger RNA copies are lower in patients with PD than in controls in two independent populations. Thus, gene expression signals measured in blood can facilitate the development of biomarkers for PD.

4:45 Multiplex microRNA TaqMan® 
Low Density Array: A High-Throughput Screening Tool for miRNA Profiling

Sponsored by

 
Yulei Wang, Ph.D., Gene Expression R&D, Applied Biosystems 
We have developed TaqMan® miRNA Low Density Arrays to enable sensitive and specific genome-wide profiling. Highly sensitive and specific TaqMan® miRNA Assays targeting 369 human miRNAs and 16 endogenous controls are pre-loaded into a 384-well micro fluidic card. The reverse transcription step is performed in 48-plex and the cDNA loaded into the card for real-time PCR detection without the need for robotics. We will be presenting applications of this technology in screening biomarkers in clinical samples to identify patients at high-risk for recurrent thrombosis, and screening drug-resistant miRNA markers in the NCI60 cancer cell lines.

5:00    Emerging Technologies and Platforms (Sponsorship Available)

5:15    Development of Microarray Platform for Blood Screening

Dr. J. Petrik, Scottish National Blood Transfusion Service & University of Edinburgh

Microarray technology offers a unifying platform for a variety of assays performed currently in multiple formats. Blood grouping and pathogen screening can be carried out by both, genotypic and phenotypic assays, but the detection of antibodies against blood group antigens and pathogen antigens are exclusively phenotypic assays. We have focused on the development of protein microarrays as they can accommodate all types of assays required.  We have demonstrated successful protein – cell interaction blood grouping microarray for ABO, Rh and some additional blood groups, as well as direct antiglobulin test, using autofluorescent detection of bound erythrocytes. In parallel, we are developing complementary antibody screen and pathogen detection assays.

5:45    Networking Reception in Exhibit Hall

7:00    End of Day Two

 

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