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Massachusetts Institute of Technology

In Situ Perturb-Seq of Transcriptomes and RNA Neural Recordings

Abstract

dc:description.abstract

In this work, we explore the intersection of in situ sequencing, neural recording, and CRISPR screens. An intracellular technology is outlined for encoding neural activity in the form of RNA, theoretically enabling single-cell resolution recording of whole-brain activity. This neural recording system can be coupled with perturb-seq in order to observe high-throughput genetic perturbations of neurons with both temporal and transcriptomic information. Untargeted expansion sequencing (ExSeq) can be used to generate a high-resolution spatiotemporal dataset that includes single guide RNAs (sgRNAs), neural activity, and transcriptomics. Targeted ExSeq, with the inclusion of no-gap padlock probes and SplintR ligase, can be applied to enhance the detection of sgRNA barcodes and targeted transcripts. In vitro and in vivo experimental pipelines are proposed for the fusion of these technologies, in this theoretical thesis.

Degree

thesis:*
Name thesis:degree_name
Master
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
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Romero, Cipriano William
Advisor dc:contributor.advisor
  • Boyden, Edward S.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/139207
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/139207

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

Romero, Cipriano William. In Situ Perturb-Seq of Transcriptomes and RNA Neural Recordings. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/139207