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Massachusetts Institute of Technology

Genome sequencing and phenotypic analysis of single cells in cancer

Abstract

dc:description.abstract

Relatively little is known about metastatic cancer. The vast majority of cancer genome profiling (~99%) is done on primary tumors; yet, metastatic cancer is attributed to >90% of cancer-related deaths. The underlying challenge is that metastatic cancer is difficult to sample: surgical resections are less common, metastatic biopsies are not part of clinical routine, and such invasive biopsies are not a repeated solution. In the first half of my thesis, I describe our advances in unlocking comprehensive sequencing of metastatic cancer from blood. We demonstrate that confident and powered sequencing of all genes in the human genome from single circulating tumor cells (CTCs) is both possible and useful clinically. We also describe a statistical framework for evaluating amplification bias in single-cell sequencing and two new methods for enriching CTCs from blood. In the second half of my thesis, I present our advances in characterizing the phenotypic behavior of single cells in cancer. We examine the polyfunctional heterogeneity in secretions of ELR+ CXC chemokines from single tumor and stromal cells and demonstrate how the true behavior of single cells can be hidden in bulk assays. We also describe assays to measure the growth kinetics of tens of thousands of single cells in parallel and to identify B cells that produce autologous antibodies against tumor-associated antigens. Together, these advances in genomic and phenotypic characterizations enable a deeper understanding of cancer that should help to develop and deploy more effective cancer therapies tailored to individual patients.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Chemical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Adalsteinsson, Viktor Arnarson
Advisor dc:contributor.advisor
  • J. Christopher Love.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/98699
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/98699

Chain of custody

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

Adalsteinsson, Viktor Arnarson. Genome sequencing and phenotypic analysis of single cells in cancer. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98699