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Massachusetts Institute of Technology

Integrative multi-omics dissection of cancer cell states and susceptibility

Abstract

dc:description.abstract

Cancer cells are characterized by a broad spectrum of unique genetic, epigenetic and transcriptional states, which are often concomitant with high degrees of plasticity in cell identity. These cell states and the fluidity therein are a major source of resistance to both chemotherapy and targeted therapy. Combinatorial efforts in experimental assays and computational modeling are pivotal for understanding the origins of cancer cell plasticity and exposing cell state-specific vulnerabilities. In this thesis, I will first present my studies on two clinically challenging types of hematopoietic malignancies and discuss key genes that sustain cell identity and survival programs revealed through multi-omics approaches.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Biology
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Liu, Yunpeng(Biologist)Massachusetts Institute of Technology.
Advisor dc:contributor.advisor
  • Michael T. Hemann.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/130818
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/130818

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Liu, Yunpeng(Biologist)Massachusetts Institute of Technology.. Integrative multi-omics dissection of cancer cell states and susceptibility. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130818