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Massachusetts Institute of Technology

RNAi-based logic circuitry coupled to Cas9-mediated transcriptional control in human cells and applications to stem cell technology

Abstract

dc:description.abstract

This work demonstrates fundamental advancements towards the construction of an RNAi-based molecular computing core genetically encoded in the genome of human induced pluripotent stem cells (hiPSCs). This architecture can be theoretically programmed to precisely control stem cell differentiation. First, we use computational biology to analyze differential miRNA expression during human stem cell differentiation and guide biological design. We then design, build, and test proof-of-concept RNAi-based circuits in living human cells and couple them to Cas9-mediated transcriptional control. Finally, we demonstrate stable integration of an RNAi-based sensor in chromosome 19 (AAVS1 locus) of hiPSCs using landing pad technology followed by successful differentiation into brain-like tissue.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Palacios, Sebastian Ricardo
Advisor dc:contributor.advisor
  • Ron Weiss.

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/1721.1/108981
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/108981

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

Palacios, Sebastian Ricardo. RNAi-based logic circuitry coupled to Cas9-mediated transcriptional control in human cells and applications to stem cell technology. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108981