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Massachusetts Institute of Technology

Enzyme engineering by directed evolution and applications in cellular imaging and proteomic mapping

Abstract

dc:description.abstract

A thorough understanding of biological systems on a molecular level requires tools to study individual protein components within the native cellular context. A wide panoply of enzyme-mediated labeling methodologies have been developed that couple the power of enzyme specificity with the functional diversity of small molecules to specifically tag proteins within the crowded heterogeneous intracellular environment for a wide array of applications including imaging by fluorescence or electron microscopy, and isolation and identification by mass spectrometry. Towards this end, a common theme in the design of new enzyme tools has been the repurposing of enzymes away from their natural chemical substrates to derivatives that provide more useful properties such as fluorescence or high-affinity handles. Many current directed evolution methods focus on the detection of product formation, but have limited ability to address improvements in catalytic efficiency. As a result, many of the developed methods may work in permissive proof-of-concept demonstrations in model cell lines under overexpression conditions, but lack sufficient activity to generate detectable signal in more relevant biological systems in which enzyme expression levels are more restricted. The goal of this thesis is to explore the development and application of directed evolution methods towards the challenging problem of improving enzyme catalysis. We attempted to design a new phage-display directed evolution platform for improving enzyme turnover of the E. coli biotin ligase BirA, but found that our separation based on ultracentrifugation lacked the necessary sensitivity to discriminate between levels of enzyme turnover. We also looked at applications of the specific labeling of BirA and promiscuous labeling of horseradish peroxidase towards capturing fluorescent live cellular migration tracks on the traversed extracellular matrix. We then utilized yeast display to develop a selection method for evolving peroxidases with improved activity to address the sensitivity limitations of the previously developed enhanced ascorbate peroxidase (APEX) tag from the Ting lab used for electron microscopy and spatial proteomics. This led to the successful discovery and characterization of the highly-active APEX2 which enabled advancements in mitochondrial and mitochondria-endoplasmic reticulum junction biology.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Chemistry.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lam, Stephanie S. (Stephanie Shih-Min)
Advisor dc:contributor.advisor
  • Alice Y. Ting.

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/1721.1/105028
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/105028

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

Lam, Stephanie S. (Stephanie Shih-Min). Enzyme engineering by directed evolution and applications in cellular imaging and proteomic mapping. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105028