march, 2021
Event Details
Abstract: Cancer represents an evolutionary process through which growing malignant populations genetically diversify, leading to tumour progression, relapse and resistance to therapy. In addition to genetic diversity, the cell-to-cell variation that
more
Event Details
Abstract:
Cancer represents an evolutionary process through which growing malignant populations genetically diversify, leading to tumour progression, relapse and resistance to therapy. In addition to genetic diversity, the cell-to-cell variation that fuels evolutionary selection also manifests in cellular states, epigenetic profiles, spatial distributions and interactions with the microenvironment. Therefore, the study of cancer requires the integration of multiple heritable dimensions at the resolution of the single cell — the atomic unit of somatic evolution. In this Review, we discuss emerging analytic and experimental technologies for single-cell multi-omics that enable the capture and integration of multiple data modalities to inform the study of cancer evolution. These data show that cancer results from a complex interplay between genetic and non-genetic determinants of somatic evolution.
Presenter:
Dr. Vishaka Gopalan
Join Zoom Meeting
https://umd.zoom.us/j/97941931766
Meeting ID: 979 4193 1766
One tap mobile
+13017158592,,97941931766# US (Washington DC)
+13126266799,,97941931766# US (Chicago)
Time
(Monday) 3:00 pm - 4:00 pm
Location
Online
Organizer
CDSLNCI CCR Cancer Data Science LabArati Rajeevan, arati.rajeevan@nih.gov