AUG 21, 2013 3:00 PM PDT

Investigating tissue specificity of cancer-causing germline mutations

C.E. Credits: CE
Speaker
  • Assistant Professor, Department of Systems & Computational Biology, Assistant Professor, Department of Epidemiology & Population Health, Albert Einstein College of Medicine
    BIOGRAPHY

Abstract

The remarkable diversity we see between different cell types in the human body is governed by the specificity attained through transcriptional and epigenetic regulatory programs. Cancer is a disease that targets specific tissues, and in the case of cancer-causing germline mutations, it is perplexing that primary tumors arise in a restricted subset of tissues only. Understanding why a mutation can be suppressed in one tissue but not others stands to unlock insights into tissue-specific transcriptional regulation and how these programs promote fragility or resistance of cancer-causing mutations. We have been studying cancer-causing germline mutations in the context of cell type-specific gene regulatory networks. Using a comprehensive tissue expression atlas from the FANTOM5 consortium, we have access to CAGE sequencing data that captures promoter usage and gene expression in over 1000 human samples, including primary cells, tissues and cell lines. Levering information from COSMIC, the Cancer Gene Census, and FANTOM5, two classes of genes that have tissues-specific, cancer-causing mutations have been identified - (1) genes that are expressed in the cell type where the cancer occurs, (2) genes that are expressed ubiquitously across many different cell types. For this second class, we have begun comparing regulatory networks associated with these genes in susceptible versus resistant cell types to identify changes in network topology that may change a cell type's oncogenic potential.


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AUG 21, 2013 3:00 PM PDT

Investigating tissue specificity of cancer-causing germline mutations

C.E. Credits: CE

Specialty

Antibodies

Virology

Immunology

Dna Sequencing

Personalized Medicine

Clinical Diagnostics

Immunity

Cancer Diagnostics

Immunotherapy

Bioinformatics

Flow Cytometry

Immuno-Oncology

Gene Expression

Dna

Big Data

Geography

Europe100%

Registration Source

Website Visitors100%

Job Title

Student100%

Organization

Academic Institution100%


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