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Massachusetts Institute of Technology

Targeted sequencing : single cells and single strand breaks

Abstract

dc:description.abstract

Sequencing the human genome has spurred systematic work on understanding how gene expression and genomic integrity contribute to disease. To date, 3,519 genes have been identified as the underlying cause of specific single gene disorders. However, complex diseases still pose a daunting challenge that require both an understanding of cell function as well as how the genome interacts with its cellular environment. Sequencing technologies are now routinely applied to interrogate gene variants, gene expression patterns, chromosome accessibility, among other measurements to infer gene and cell function. We build upon past work to address the challenge of targeting sequencing effort to cells and genomic loci of interest to probe the molecular mechanisms behind disease. In this thesis, we demonstrate two novel targeted sequencing methods that can enable a greater understanding of cell function. (1) The development of targeted sequencing in pooled single cell RNA-seq libraries and (2) the development of a novel sequencing approach that allows for the quantification and identification of single stranded break (SSB) locations across the genome. First, we introduce a new targeted sequencing approach to identify rare cells of interest in pooled sequence libraries. Improved throughput in single cell sequencing has enabled the transcriptional profiling of thousands of cells at once. However, due to reliance on pooled library construction methods, it is now more difficult to focus on and analyze particular cells of interest, apart from analyzing the library in its entirety. We designed multiplex PCR primers to simultaneously enrich targeted cells from a complex DNA library pool of single cells. We show how molecular enrichment can be used to efficiently target rare cell types, such as the recently identified AXL+SIGLEC6+ dendritic cell (AS DC). Next, we demonstrate a new targeted sequencing approach, called NickSeq, to locate and quantify DNA SSBs with single nucleotide resolution. SSBs are the most common form of DNA damage at an estimated 10,000 per cell per day, but there is no available method to robustly determine the exact sites of damage. SSB accumulation correlates with disease, but it is unknown how the location and amount of damage relate to health outcomes. We intentionally create a unique mutational signature at the SSB that is a fingerprint for this specific type of DNA damage when the locus is sequenced. Taken as a whole, we introduce two novel strategies to further understand cell function through studying rare cells in single cell populations and analyzing DNA SSB damage in relation to cell health. This work demonstrates that targeted sequencing approaches have promise for understanding the molecular mechanisms behind aberrant cell function, a necessary step in the prevention and treatment of disease.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Biological Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ranu, Navpreet Singh
Advisor dc:contributor.advisor
  • Paul C. Blainey.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/119977
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/119977

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

Ranu, Navpreet Singh. Targeted sequencing : single cells and single strand breaks. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119977