OCT 30, 2019 7:00 AM PDT

A Novel Approach for Single-cell Multi-omic Analysis to Identify Regulatory Signatures in Cancer

Sponsored by: 10x Genomics
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Associate Professor, Department of Genetics, Stanford University
    Biography
      William Greenleaf is an Associate Professor in the Genetics Department at Stanford University School of Medicine, with a courtesy appointment in the Applied Physics Department. He is a member of Bio-X, the Biophysics Program, the Biomedical Informatics Program, and the Cancer Center. He received an A.B. in physics from Harvard University (summa cum laude), and received a Gates Fellowship to study computer science at Trinity College, Cambridge, UK (with distinction). He returned to Stanford to carry out his Ph.D. in Applied Physics in the laboratory of Steven Block, where he investigated, at the single molecule level, the chemo-mechanics of RNA polymerase and the folding of RNA transcripts. He conducted postdoctoral work in the laboratory of X. Sunney Xie in the Chemistry and Chemical Biology Department at Harvard University, where he was awarded a Damon Runyon Cancer Research Foundation Fellowship, and developed new fluorescence-based high-throughput sequencing methodologies. He moved to Stanford as an Assistant Professor and has been named a Rita Allen Foundation Young Scholar, an Ellison Foundation Young Scholar in Aging (declined), a Baxter Foundation Scholar, and a Chan-Zuckerberg Investigator. His highly interdisciplinary research links molecular biology, computer science, bioengineering, and genomics a to understand how the physical state of the human genome controls gene regulation and biological state. Efforts in his lab are split between building new tools to leverage the power of high-throughput sequencing and cutting-edge microscopies, and bringing these new technologies to bear against basic biological questions of genomic and epigenomic variation. His long-term goal is to unlock an understanding of the physical "regulome" - i.e. the factors that control how the genetic information is read into biological instructions - profoundly impacting our understanding of how cells maintain, or fail to maintain, their state in health and disease.

    Abstract

    DATE: October 30, 2019
    TIME: 7:00am PDT

    Join us for a webinar to learn how to apply single cell methods to study cancer. Dr. William Greenleaf, Associate Professor from Stanford University, and co-inventor of ATAC-seq technology, will speak about multi-omic approaches and computational methods to gain deeper insight into cellular programs dysregulated in leukemia. A Q&A session will follow.

    In this webinar, Dr. Greenleaf will cover:

    • Generating single cell transcriptomic, epigenetic, and immunophenotypic maps from clinical samples and healthy donors 

    • Characterizing transcriptomic and chromatin signatures associated with malignancy 

    • Identifying transcription factors that regulate leukemia-specific gene expression

    Learning Objectives:

    • Clarify how to integrate different types of single cell genomics data

    • Explain how to identify cancer-specific cellular programs from patient samples

    • Describe how combining single cell transcriptomics and chromatin profiling can resolve cell type-specific gene regulatory networks

     

    Webinars will be available for unlimited on-demand viewing after live event.

     

    LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.


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    OCT 30, 2019 7:00 AM PDT

    A Novel Approach for Single-cell Multi-omic Analysis to Identify Regulatory Signatures in Cancer

    Sponsored by: 10x Genomics
    C.E. Credits: P.A.C.E. CE Florida CE

    Specialty

    Genomics

    Cancer Research

    Molecular Biology

    Immunology

    Gene Expression

    Cell Biology

    Genetics

    Bioinformatics

    Biomarkers

    Biotechnology

    Cancer Therapeutics

    Cancer Diagnostics

    Molecular Diagnostics

    Gene Sequencing

    Dna Sequencing

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    North America61%

    Europe18%

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