<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T05:00:46Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/152489" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/152489</identifier><datestamp>2023-10-19T03:30:07Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Blainey, Paul</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Borrajo, Jacob</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Biological Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2023-10-18T17:10:04Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2023-10-18T17:10:04Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2022-02</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2023-09-22T15:24:58.239Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/152489</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">Through synthetic biology, our species is now learning to give biology instructions by using microscopic – often designed – biological components, allowing biology to conduct highly specialized forms of work previously unseen in nature. In this thesis, I propose and develop three new biological pathways which can perform three different categories of work i) information retrieval ii) information storage and iii) information editing.&#xd;
&#xd;
For information retrieval, I propose repurposing viral capsid proteins to perform non-destructive transcriptomic measurements. We demonstrate that this approach allows for live-cell transcriptomics, and we longitudinally measure the transcriptional responses of the same living human cells after stimulation with TNFa.&#xd;
&#xd;
For information storage, I propose and develop trans-splicing as a strategy to barcode the introduction of genetic elements en masse, and show that cell transcriptomes can be reliably barcoded for facile information storage.&#xd;
&#xd;
For information editing, I propose and develop a new RNA splicing machine – the splice editor – which can edit long stretches of mRNA sequences. I demonstrate that this CRISPR/Cas13 guided editor can perform exon replacement, which may one day lead to a new class of therapeutics.&#xd;
&#xd;
Altogether, this thesis showcases three new biological pathways, and demonstrates that living biological systems can be instructed to perform various kinds of complex, biological work.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
   <dim:field mdschema="dc" element="rights">Copyright MIT</dim:field>
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   <dim:field mdschema="dc" element="title">New Biological Pathways</dim:field>
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   	&lt;Title>New Biological Pathways&lt;/Title>
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   	&lt;PublicationDate>2022-02&lt;/PublicationDate>
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        	&lt;DisplayName>Borrajo, Jacob&lt;/DisplayName>
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   	&lt;Abstract>Through synthetic biology, our species is now learning to give biology instructions by using microscopic – often designed – biological components, allowing biology to conduct highly specialized forms of work previously unseen in nature. In this thesis, I propose and develop three new biological pathways which can perform three different categories of work i) information retrieval ii) information storage and iii) information editing.&#xd;
&#xd;
For information retrieval, I propose repurposing viral capsid proteins to perform non-destructive transcriptomic measurements. We demonstrate that this approach allows for live-cell transcriptomics, and we longitudinally measure the transcriptional responses of the same living human cells after stimulation with TNFa.&#xd;
&#xd;
For information storage, I propose and develop trans-splicing as a strategy to barcode the introduction of genetic elements en masse, and show that cell transcriptomes can be reliably barcoded for facile information storage.&#xd;
&#xd;
For information editing, I propose and develop a new RNA splicing machine – the splice editor – which can edit long stretches of mRNA sequences. I demonstrate that this CRISPR/Cas13 guided editor can perform exon replacement, which may one day lead to a new class of therapeutics.&#xd;
&#xd;
Altogether, this thesis showcases three new biological pathways, and demonstrates that living biological systems can be instructed to perform various kinds of complex, biological work.&lt;/Abstract>
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