Second Annual Single-Cell Sequencing of Cancer Rountable August 20,21, 2014 Washington DC

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Second Annual Single-Cell Sequencing of Cancer Rountable August 20,21, 2014 Washington DC

June 19, 2014 by sjwilliamspa

Second Annual Single-Cell Sequencing of Cancer Rountable August 20,21, 2014 Washington DC

Reporter: Stephen J. Williams, PhD

CSHL, UCLA & Einstein to Lead Roundtable Discussions on Single-Cell Sequencing

Interactive discussions on three of the key questions researchers are facing when considering single-cell analysis will be held on the second day of the Single-Cell Sequencing Conference at Next Generation Dx Summit, taking place August 20-21, 2014 in Washington, DC. For full program details and to register, please visit NextGenerationDx.com/Single-Cell-Sequencing.Making Single-Cell Analysis Cost Effective for Clinical Use

Moderator: James Hicks, Ph.D., Research Professor, Cancer Genomics, Cold Spring Harbor Laboratory

Methods for capture: What are the tradeoffs?
Combining RNA, DNA and protein analysis
What genomic assays are most informative?
Can assays be certifiable?

Finding a Needle in a Haystack: Towards Diagnosing Rare Soft Tissue Cancer Stem Cells (CSCs)
Moderator: Michael Masterman-Smith, Ph.D., Entrepreneurial Scientist, UCLA California NanoSystems Institute

Rethinking companion diagnostics for cancer to incorporate analysis of CSCs
Current direct methodologies of CSC detection/isolation
Current proxy methodologies of CSC detection/isolation
The hope and promise of single-cell assay tools and technologies

Why Single-Cell Sequencing?
Moderator: Jan Vijg, Ph.D., Professor and Chairman, Genetics, Albert Einstein College of Medicine
Sample limitations, e.g., prenatal diagnostics and CTCs

Sample limitations, e.g., prenatal diagnostics and CTCs
To study cell-to-cell variation, e.g., in tumors as well as normal tissues
To overcome technological constraints, e.g., detecting somatic mutations
Cell-to-cell fluctuations in gene expression can easily impair function, yet can be undetectable by measuring averages
How many different cell types are there?

View Brochure | Register (Advance Registration Ends July 18) | NextGenerationDx.com/Single-Cell-Sequencing

About the Conference

Sequencing data from bulk DNA or RNA from multiple cells provide global information on average states of cell populations. But with whole-genome amplification and NGS, researchers can detect variation in individual cancer cells and dissect tumor evolution. Such cancer genome sequencing will improve oncology by detecting rare tumor cells early, measuring intra-/intertumor heterogeneity, guiding chemotherapy and controlling drug resistance. The Single-Cell Sequencing conference explores the latest strategies, data analyses and clinical considerations that influence and aid cancer diagnosis, prognosis and prediction and will lead to individualized cancer therapy.

Sessions include presentations spanning the opportunities of clinical single-cell analysis from:

Sunney Xie, Ph.D., Mallinckrodt Professor. Chemistry and Chemical Biology, Harvard University
Maximilian Diehn, M.D., Ph.D., Assistant Professor, Radiation Oncology, Stanford Cancer Institute, Institute for Stem Cell Biology & Regenerative Medicine, Stanford University
Denis Smirnov, Associate Scientific Director, US Biomarker Oncology, Janssen R&D US
James Hicks, Ph.D., Research Professor, Cancer Genomics, Cold Spring Harbor Laboratory
Jan Vijg, Ph.D., Professor and Chairman, Genetics, Albert Einstein College of Medicine
John F. Zhong, Ph.D., Associate Professor, Pathology, University of Southern California School of Medicine
Mark Hills, Ph.D., Research Scientist, Peter M. Lansdorp Laboratory, BC Cancer Research Centre
Michael Masterman-Smith, Ph.D., Entrepreneurial Scientist, UCLA California NanoSystems Institute
Parveen Kumar, Research Scientist, Thierry Voet Laboratory, Human Genetics, University of Leuven
Peter Nemes, Ph.D., Assistant Professor, Chemistry, George Washington University
Theresa Zhang, Ph.D., Vice President, Research Services, Personal Genome Diagnostics
Yong Wang, Ph.D., Senior Postdoctoral Fellow, Nicholas E. Navin Laboratory, Genetics, Bioinformatics, MD Anderson Cancer Center
Zivana Tezak, Ph.D., Associate Director, Science and Technology, Personalized Medicine, Office of In Vitro Diagnostic Device Evaluation and Safety (OIVD), Center for Devices and Radiological Health (CDRH), FDA

Recommended Pre-Conference Courses

NGS Data Analysis – Determining Clinical Utility of Genome Variants
Monday, August 18 | 9:00am – 12:00pm
This course will explore the strategies of genomic data analysis and interpretation, an emergent discipline that seeks to deliver better answers from NGS data so that patients and their physicians can determine informed healthcare decisions. View Details

NGS as a Diagnostics Platform
Monday, August 18 | 2:00pm – 5:00pm
The focus of this short course will be on understanding the use of NGS in clinical diagnosis, practical implementation of NGS in clinical laboratories and analysis of large data sets by using bioinformatics tools to parse and interpret data in relation to the clinical phenotype. The concluding presentation will be dedicated to quality and standardization of NGS assays. View Details