A synthetic gene circuit for measuring autoregulatory feedback control
Autoregulatory feedback loops occur in the regulation of molecules ranging from ATP to MAP kinases to zinc. Negative feedback loops can increase a system's robustness, while positive feedback loops can mediate transitions between cell states. Recent genome-wide experimental and computational st...
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Veröffentlicht in: | Integrative biology (Cambridge) 2016-04, Vol.8 (4), p.546-555 |
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creator | Schikora-Tamarit, Miquel ngel Toscano-Ochoa, Carlos Domingo Espins, Jlia Espinar, Lorena Carey, Lucas B |
description | Autoregulatory feedback loops occur in the regulation of molecules ranging from ATP to MAP kinases to zinc. Negative feedback loops can increase a system's robustness, while positive feedback loops can mediate transitions between cell states. Recent genome-wide experimental and computational studies predict hundreds of novel feedback loops. However, not all physical interactions are regulatory, and many experimental methods cannot detect self-interactions. Our understanding of regulatory feedback loops is therefore hampered by the lack of high-throughput methods to experimentally quantify the presence, strength and temporal dynamics of autoregulatory feedback loops. Here we present a mathematical and experimental framework for high-throughput quantification of feedback regulation and apply it to RNA binding proteins (RBPs) in yeast. Our method is able to determine the existence of both direct and indirect positive and negative feedback loops, and to quantify the strength of these loops. We experimentally validate our model using two RBPs which lack native feedback loops and by the introduction of synthetic feedback loops. We find that RBP Puf3 does not natively participate in any direct or indirect feedback regulation, but that replacing the native 3UTR with that of COX17 generates an auto-regulatory negative feedback loop which reduces gene expression noise. Likewise, RBP Pub1 does not natively participate in any feedback loops, but a synthetic positive feedback loop involving Pub1 results in increased expression noise. Our results demonstrate a synthetic experimental system for quantifying the existence and strength of feedback loops using a combination of high-throughput experiments and mathematical modeling. This system will be of great use in measuring auto-regulatory feedback by RNA binding proteins, a regulatory motif that is difficult to quantify using existing high-throughput methods.
A synthetic gene circuit for quantifying the strength of native feedback regulation among the RNA binding proteins in yeast. |
doi_str_mv | 10.1039/c5ib00230c |
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A synthetic gene circuit for quantifying the strength of native feedback regulation among the RNA binding proteins in yeast.</description><identifier>ISSN: 1757-9694</identifier><identifier>EISSN: 1757-9708</identifier><identifier>DOI: 10.1039/c5ib00230c</identifier><identifier>PMID: 26728081</identifier><language>eng</language><publisher>England</publisher><subject>3' Untranslated Regions ; Cation Transport Proteins - genetics ; Estradiol - genetics ; Feedback, Physiological ; Gene Regulatory Networks ; Genes, Synthetic ; Green Fluorescent Proteins - metabolism ; Models, Biological ; Models, Theoretical ; Molecular Chaperones - genetics ; Promoter Regions, Genetic ; RNA-Binding Proteins - genetics ; RNA-Binding Proteins - metabolism ; Saccharomyces cerevisiae - genetics ; Saccharomyces cerevisiae Proteins - genetics ; Synthetic Biology - methods</subject><ispartof>Integrative biology (Cambridge), 2016-04, Vol.8 (4), p.546-555</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-cba4b1fa0af030da941bec1cf0a2f08c9f7cddc2edf642fc241e14cab078c98f3</citedby><cites>FETCH-LOGICAL-c592t-cba4b1fa0af030da941bec1cf0a2f08c9f7cddc2edf642fc241e14cab078c98f3</cites><orcidid>0000-0002-7245-6379</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26728081$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schikora-Tamarit, Miquel ngel</creatorcontrib><creatorcontrib>Toscano-Ochoa, Carlos</creatorcontrib><creatorcontrib>Domingo Espins, Jlia</creatorcontrib><creatorcontrib>Espinar, Lorena</creatorcontrib><creatorcontrib>Carey, Lucas B</creatorcontrib><title>A synthetic gene circuit for measuring autoregulatory feedback control</title><title>Integrative biology (Cambridge)</title><addtitle>Integr Biol (Camb)</addtitle><description>Autoregulatory feedback loops occur in the regulation of molecules ranging from ATP to MAP kinases to zinc. Negative feedback loops can increase a system's robustness, while positive feedback loops can mediate transitions between cell states. Recent genome-wide experimental and computational studies predict hundreds of novel feedback loops. However, not all physical interactions are regulatory, and many experimental methods cannot detect self-interactions. Our understanding of regulatory feedback loops is therefore hampered by the lack of high-throughput methods to experimentally quantify the presence, strength and temporal dynamics of autoregulatory feedback loops. Here we present a mathematical and experimental framework for high-throughput quantification of feedback regulation and apply it to RNA binding proteins (RBPs) in yeast. Our method is able to determine the existence of both direct and indirect positive and negative feedback loops, and to quantify the strength of these loops. We experimentally validate our model using two RBPs which lack native feedback loops and by the introduction of synthetic feedback loops. We find that RBP Puf3 does not natively participate in any direct or indirect feedback regulation, but that replacing the native 3UTR with that of COX17 generates an auto-regulatory negative feedback loop which reduces gene expression noise. Likewise, RBP Pub1 does not natively participate in any feedback loops, but a synthetic positive feedback loop involving Pub1 results in increased expression noise. Our results demonstrate a synthetic experimental system for quantifying the existence and strength of feedback loops using a combination of high-throughput experiments and mathematical modeling. This system will be of great use in measuring auto-regulatory feedback by RNA binding proteins, a regulatory motif that is difficult to quantify using existing high-throughput methods.
A synthetic gene circuit for quantifying the strength of native feedback regulation among the RNA binding proteins in yeast.</description><subject>3' Untranslated Regions</subject><subject>Cation Transport Proteins - genetics</subject><subject>Estradiol - genetics</subject><subject>Feedback, Physiological</subject><subject>Gene Regulatory Networks</subject><subject>Genes, Synthetic</subject><subject>Green Fluorescent Proteins - metabolism</subject><subject>Models, Biological</subject><subject>Models, Theoretical</subject><subject>Molecular Chaperones - genetics</subject><subject>Promoter Regions, Genetic</subject><subject>RNA-Binding Proteins - genetics</subject><subject>RNA-Binding Proteins - metabolism</subject><subject>Saccharomyces cerevisiae - genetics</subject><subject>Saccharomyces cerevisiae Proteins - genetics</subject><subject>Synthetic Biology - methods</subject><issn>1757-9694</issn><issn>1757-9708</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkMtOwzAQRS0EoqWwYQ_yEiEFxo7zWpaIQqVKbGAdOZNxCeRRbGfRvydQWlZ3pHt0pTmMXQq4ExBm9xjVJYAMAY_YVCRREmQJpMf7O87UhJ059wEQKwB1yiYyTmQKqZiyxZy7beffydfI19QRx9riUHtuestb0m6wdbfmevC9pfXQ6DG33BBVpcZPjn3nbd-csxOjG0cXfzljb4vH1_w5WL08LfP5KsAokz7AUqtSGA3aQAiVzpQoCQUa0NJAiplJsKpQUmViJQ1KJUgo1CUkY5macMZudrsb238N5HzR1g6paXRH_eAKkaQyDce_sxG93aFoe-csmWJj61bbbSGg-PFW5NHy4ddbPsLXf7tD2VJ1QPeiRuBqB1iHh_ZffPgNtuBz5Q</recordid><startdate>20160418</startdate><enddate>20160418</enddate><creator>Schikora-Tamarit, Miquel ngel</creator><creator>Toscano-Ochoa, Carlos</creator><creator>Domingo Espins, Jlia</creator><creator>Espinar, Lorena</creator><creator>Carey, Lucas B</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7245-6379</orcidid></search><sort><creationdate>20160418</creationdate><title>A synthetic gene circuit for measuring autoregulatory feedback control</title><author>Schikora-Tamarit, Miquel ngel ; Toscano-Ochoa, Carlos ; Domingo Espins, Jlia ; Espinar, Lorena ; Carey, Lucas B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-cba4b1fa0af030da941bec1cf0a2f08c9f7cddc2edf642fc241e14cab078c98f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>3' Untranslated Regions</topic><topic>Cation Transport Proteins - genetics</topic><topic>Estradiol - genetics</topic><topic>Feedback, Physiological</topic><topic>Gene Regulatory Networks</topic><topic>Genes, Synthetic</topic><topic>Green Fluorescent Proteins - metabolism</topic><topic>Models, Biological</topic><topic>Models, Theoretical</topic><topic>Molecular Chaperones - genetics</topic><topic>Promoter Regions, Genetic</topic><topic>RNA-Binding Proteins - genetics</topic><topic>RNA-Binding Proteins - metabolism</topic><topic>Saccharomyces cerevisiae - genetics</topic><topic>Saccharomyces cerevisiae Proteins - genetics</topic><topic>Synthetic Biology - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schikora-Tamarit, Miquel ngel</creatorcontrib><creatorcontrib>Toscano-Ochoa, Carlos</creatorcontrib><creatorcontrib>Domingo Espins, Jlia</creatorcontrib><creatorcontrib>Espinar, Lorena</creatorcontrib><creatorcontrib>Carey, Lucas B</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Integrative biology (Cambridge)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schikora-Tamarit, Miquel ngel</au><au>Toscano-Ochoa, Carlos</au><au>Domingo Espins, Jlia</au><au>Espinar, Lorena</au><au>Carey, Lucas B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A synthetic gene circuit for measuring autoregulatory feedback control</atitle><jtitle>Integrative biology (Cambridge)</jtitle><addtitle>Integr Biol (Camb)</addtitle><date>2016-04-18</date><risdate>2016</risdate><volume>8</volume><issue>4</issue><spage>546</spage><epage>555</epage><pages>546-555</pages><issn>1757-9694</issn><eissn>1757-9708</eissn><abstract>Autoregulatory feedback loops occur in the regulation of molecules ranging from ATP to MAP kinases to zinc. Negative feedback loops can increase a system's robustness, while positive feedback loops can mediate transitions between cell states. Recent genome-wide experimental and computational studies predict hundreds of novel feedback loops. However, not all physical interactions are regulatory, and many experimental methods cannot detect self-interactions. Our understanding of regulatory feedback loops is therefore hampered by the lack of high-throughput methods to experimentally quantify the presence, strength and temporal dynamics of autoregulatory feedback loops. Here we present a mathematical and experimental framework for high-throughput quantification of feedback regulation and apply it to RNA binding proteins (RBPs) in yeast. Our method is able to determine the existence of both direct and indirect positive and negative feedback loops, and to quantify the strength of these loops. We experimentally validate our model using two RBPs which lack native feedback loops and by the introduction of synthetic feedback loops. We find that RBP Puf3 does not natively participate in any direct or indirect feedback regulation, but that replacing the native 3UTR with that of COX17 generates an auto-regulatory negative feedback loop which reduces gene expression noise. Likewise, RBP Pub1 does not natively participate in any feedback loops, but a synthetic positive feedback loop involving Pub1 results in increased expression noise. Our results demonstrate a synthetic experimental system for quantifying the existence and strength of feedback loops using a combination of high-throughput experiments and mathematical modeling. This system will be of great use in measuring auto-regulatory feedback by RNA binding proteins, a regulatory motif that is difficult to quantify using existing high-throughput methods.
A synthetic gene circuit for quantifying the strength of native feedback regulation among the RNA binding proteins in yeast.</abstract><cop>England</cop><pmid>26728081</pmid><doi>10.1039/c5ib00230c</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7245-6379</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); Royal Society Of Chemistry Journals 2008- |
subjects | 3' Untranslated Regions Cation Transport Proteins - genetics Estradiol - genetics Feedback, Physiological Gene Regulatory Networks Genes, Synthetic Green Fluorescent Proteins - metabolism Models, Biological Models, Theoretical Molecular Chaperones - genetics Promoter Regions, Genetic RNA-Binding Proteins - genetics RNA-Binding Proteins - metabolism Saccharomyces cerevisiae - genetics Saccharomyces cerevisiae Proteins - genetics Synthetic Biology - methods |
title | A synthetic gene circuit for measuring autoregulatory feedback control |
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