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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group>
<journal-title>PLOS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1371/journal.pone.0196015</article-id>
<article-id pub-id-type="publisher-id">PONE-D-18-00847</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Molecular biology</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>DNA construction</subject><subj-group><subject>Plasmid construction</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>DNA construction</subject><subj-group><subject>Plasmid construction</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Biotechnology</subject><subj-group><subject>Bioengineering</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>CRISPR</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Bioengineering</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>CRISPR</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>CRISPR</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>CRISPR</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic genomics</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>CRISPR</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic genomics</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>CRISPR</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Computational biology</subject><subj-group><subject>Genome analysis</subject><subj-group><subject>Sequence assembly tools</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Genetics</subject><subj-group><subject>Genomics</subject><subj-group><subject>Genome analysis</subject><subj-group><subject>Sequence assembly tools</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Molecular biology</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Artificial gene amplification and extension</subject><subj-group><subject>Polymerase chain reaction</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Artificial gene amplification and extension</subject><subj-group><subject>Polymerase chain reaction</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Molecular biology</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Cloning</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Cloning</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic genomics</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic genomics</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Genetics</subject><subj-group><subject>Gene expression</subject><subj-group><subject>DNA transcription</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Extraction techniques</subject><subj-group><subject>RNA extraction</subject></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>One step generation of customizable gRNA vectors for multiplex CRISPR approaches through string assembly gRNA cloning (STAgR)</article-title>
<alt-title alt-title-type="running-head">String assembly gRNA cloning (STAgR)</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Breunig</surname>
<given-names>Christopher T.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Durovic</surname>
<given-names>Tamara</given-names>
</name>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff004"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Neuner</surname>
<given-names>Andrea M.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Baumann</surname>
<given-names>Valentin</given-names>
</name>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Wiesbeck</surname>
<given-names>Maximilian F.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0003-1601-7774</contrib-id>
<name name-style="western">
<surname>Köferle</surname>
<given-names>Anna</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Götz</surname>
<given-names>Magdalena</given-names>
</name>
<role content-type="http://credit.casrai.org/">Funding acquisition</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<xref ref-type="aff" rid="aff005"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff006"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Ninkovic</surname>
<given-names>Jovica</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<xref ref-type="aff" rid="aff004"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff006"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5488-8530</contrib-id>
<name name-style="western">
<surname>Stricker</surname>
<given-names>Stefan H.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Funding acquisition</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label> <addr-line>MCN Junior Research Group, Munich Center for Neurosciences, Ludwig-Maximilian-Universität, BioMedical Center, Planegg-Martinsried, Germany</addr-line></aff>
<aff id="aff002"><label>2</label> <addr-line>Epigenetic Engineering, Institute of Stem Cell Research, Helmholtz Zentrum, German Research Center for Environmental Health, Planegg-Martinsried, Germany</addr-line></aff>
<aff id="aff003"><label>3</label> <addr-line>Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University, Munich, Germany</addr-line></aff>
<aff id="aff004"><label>4</label> <addr-line>Neurogenesis and Regeneration, Institute of Stem Cell Research, Helmholtz Zentrum, German Research Center for Environmental Health, Neuherberg, Germany</addr-line></aff>
<aff id="aff005"><label>5</label> <addr-line>Neural stem cells, Institute of Stem Cell Research, Helmholtz Zentrum, German Research Center for Environmental Health, Neuherberg, Germany</addr-line></aff>
<aff id="aff006"><label>6</label> <addr-line>Physiological Genomics, BioMedical Center, Ludwig-Maximilian-Universität, Planegg-Martinsried, Germany</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Stieger</surname>
<given-names>Knut</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>Justus Liebig Universitat Giessen, GERMANY</addr-line></aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
<corresp id="cor001">* E-mail: <email xlink:type="simple">stricker@biologie.uni-muenchen.de</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>4</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>13</volume>
<issue>4</issue>
<elocation-id>e0196015</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>1</month>
<year>2018</year>
</date>
<date date-type="accepted">
<day>4</day>
<month>4</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-year>2018</copyright-year>
<copyright-holder>Breunig et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pone.0196015"/>
<abstract>
<p>Novel applications based on the bacterial CRISPR system make genetic, genomic, transcriptional and epigenomic engineering widely accessible for the first time. A significant advantage of CRISPR over previous methods is its tremendous adaptability due to its bipartite nature. Cas9 or its engineered variants define the molecular effect, while short gRNAs determine the targeting sites. A majority of CRISPR approaches depend on the simultaneous delivery of multiple gRNAs into single cells, either as an essential precondition, to increase responsive cell populations or to enhance phenotypic outcomes. Despite these requirements, methods allowing the efficient generation and delivery of multiple gRNA expression units into single cells are still sparse. Here we present STAgR (String assembly gRNA cloning), a single step gRNA multiplexing system, that obtains its advantages by employing the N20 targeting sequences as necessary homologies for Gibson assembly. We show that STAgR allows reliable and cost-effective generation of vectors with high numbers of gRNAs enabling multiplexed CRISPR approaches. Moreover, STAgR is easily customizable, as vector backbones as well as gRNA structures, numbers and promoters can be freely chosen and combined. Finally, we demonstrate STAgR’s widespread functionality, its efficiency in multi-targeting approaches, using it for both, genome and transcriptome editing, as well as applying it in vitro and in vivo.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/501100001659</institution-id>
<institution>Deutsche Forschungsgemeinschaft</institution>
</institution-wrap>
</funding-source>
<award-id>DFG (STR 1385/1-1)</award-id>
<principal-award-recipient>
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5488-8530</contrib-id>
<name name-style="western">
<surname>Stricker</surname>
<given-names>Stefan H.</given-names>
</name>
</principal-award-recipient>
</award-group>
<funding-statement>CB, AN, VB, MW, AK and SHS were supported by Deutsche Forschungsgemeinschaft (STR 1385/1-1) (<ext-link ext-link-type="uri" xlink:href="http://www.dfg.de/" xlink:type="simple">http://www.dfg.de/</ext-link>). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<page-count count="12"/>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>Plasmids for STAgR cloning can be obtained from Addgene and sequences from figshare using the following URL: <ext-link ext-link-type="uri" xlink:href="https://figshare.com/projects/One_step_generation_of_customizable_gRNA_vectors_for_multiplex_CRISPR_approaches_through_string_assembly_gRNA_cloning_STAgR_/31046" xlink:type="simple">https://figshare.com/projects/One_step_generation_of_customizable_gRNA_vectors_for_multiplex_CRISPR_approaches_through_string_assembly_gRNA_cloning_STAgR_/31046</ext-link>. The Addgene ID numbers are STAGR_SAMScaffold_hH1 (ID 102847), STAGR_SAMScaffold_h7SK (ID 102846), STAGR_SAMScaffold_mU6 (ID 102845), STAGR_gRNAScaffold_mU6 (ID 102844), STAGR_SAMScaffold_hU6 (ID 102843), STAGR_gRNAScaffold_h7SK (ID 102842), STAGR_gRNAScaffold_hH1 (ID 102841), STAGR_gRNAScaffold_hU6 (ID 102840), mCherry (ID 102993), STAgR_Neo (ID 102992).</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec001" sec-type="intro">
<title>Introduction</title>
<p>The adaptation of CRISPR as a molecular tool has been the most recent revolution in synthetic biology [<xref ref-type="bibr" rid="pone.0196015.ref001">1</xref>], since several groups have transformed components of this prokaryotic immune system to acquire programmable genomic targeting [<xref ref-type="bibr" rid="pone.0196015.ref002">2</xref>–<xref ref-type="bibr" rid="pone.0196015.ref004">4</xref>]. The nuclease Cas9, the only protein component in CRISPR, has the extraordinary feature of finding and binding those sequences in the genome, that are encoded in a small RNA, the guide or gRNA. While originally developed to induce double strand brakes on single sites [<xref ref-type="bibr" rid="pone.0196015.ref004">4</xref>], several refinements and modifications of both the protein as well as the RNA part allow at present a large spectrum of experimental strategies ranging from epigenome engineering to transcriptional activation/ repression [<xref ref-type="bibr" rid="pone.0196015.ref005">5</xref>, <xref ref-type="bibr" rid="pone.0196015.ref006">6</xref>]. Many of these are, however, strictly dependent on the simultaneous delivery and expression of multiple gRNAs. This includes, for example, the use of Cas9 nickases [<xref ref-type="bibr" rid="pone.0196015.ref007">7</xref>], the induction of translocations [<xref ref-type="bibr" rid="pone.0196015.ref008">8</xref>, <xref ref-type="bibr" rid="pone.0196015.ref009">9</xref>], medium scale deletions [<xref ref-type="bibr" rid="pone.0196015.ref010">10</xref>], larger genomic alterations [<xref ref-type="bibr" rid="pone.0196015.ref011">11</xref>, <xref ref-type="bibr" rid="pone.0196015.ref012">12</xref>], CRISPR mediated generation of conditional alleles [<xref ref-type="bibr" rid="pone.0196015.ref010">10</xref>, <xref ref-type="bibr" rid="pone.0196015.ref013">13</xref>], generation of concomitant mutations [<xref ref-type="bibr" rid="pone.0196015.ref014">14</xref>] and long term lineage tracing using CRISPR [<xref ref-type="bibr" rid="pone.0196015.ref015">15</xref>]. Furthermore, a large number of CRISPR strategies rely on multiple targeting sites, sometimes in proximity to each other, to obtain maximal effect sizes; for example when fusion proteins of the enzymatically dead dCas9 with transcriptional activators [<xref ref-type="bibr" rid="pone.0196015.ref016">16</xref>–<xref ref-type="bibr" rid="pone.0196015.ref018">18</xref>] or chromatin enzymes [<xref ref-type="bibr" rid="pone.0196015.ref019">19</xref>] are used for transcriptional engineering, epigenome editing [<xref ref-type="bibr" rid="pone.0196015.ref020">20</xref>] or cellular reprogramming [<xref ref-type="bibr" rid="pone.0196015.ref016">16</xref>, <xref ref-type="bibr" rid="pone.0196015.ref021">21</xref>]. However, combining multiple individual gRNA expression vectors to achieve expression of multiple gRNAs in single cells has its limits, in vitro, as well as in vivo, as the fraction of cells expressing a complete set of gRNAs is decreasing with the number of gRNAs used, and those that do, rarely receive stoichiometric levels. Besides these approaches, which are strictly depending on the availability of multiple gRNAs in single cells, there is also a more general need for quick and cost-effective vector generation. Due to differences in targeting efficiencies and chromatin topology, testing a significant number of potential gRNA sequences is advisable for most experimental setups. Thus, the availability of customization strategies would constitute decisive advantages. Here we report a simple and cost-effective one step method to generate functional expression vectors for multiple gRNA delivery with high reliability and a large number of options for customization.</p>
</sec>
<sec id="sec002" sec-type="materials|methods">
<title>Materials and methods</title>
<p>A detailed protocol for STAgR cloning is available supplementary (<xref ref-type="supplementary-material" rid="pone.0196015.s003">S1 File</xref>). HeLa cells (gift from Stephan Beck) were cultured in DMEM medium (Dulbecco’s modified eagle medium) supplemented with 10% (v/v) FCS and 1% penicillin/streptomycin (10000 U/ml penicillin, 10000 μg/ml streptomycin). Cells were grown in a monolayer in cell culture dishes at 37°C and 5% CO2. P19 (obtained from ATCC) were cultured in identical conditions, but supplemented with 1% NEAAs (Gibco). For each transfection 250,000 cells/well were seeded into 6-well plates. 2 μg of each STAgR and control plasmid was transfected per sample using Lipofecatmin2000 according to the manufacturer’s instructions. Seven days after the transfection cells were analysed by flow cytometry or qPCR respectively. For flow analysis, cells have been trypsinized, washed once with PBS and directly analyzed on a FACSAriaIII<sup>™</sup>(Becton Dickinson) flow cytometer. For each sample, GFP signal of 10000 cells has been recorded. RNA was extracted from P19 cells using the Quiagen RNAeasy Mini Kit according the manufacturer’s instructions. 100 ng RNA was reverse transcribed using the Thermo Fisher cDNA first strand kit. qPCR reactions were performed on an Applied Biosystems<sup>™</sup> QuantStudio<sup>™</sup> 6 Flex Real-Time PCR System. Each 10-μl reaction consisted of 5 μl of cDNA, 5μl PowerUp<sup>™</sup> SYBR<sup>™</sup> Green Master Mix (Thermo Scientific), and appropriate amount of primers. The amount of the target transcript was quantified relative to Gapdh as a reference. Each sample was assayed at least in triplicates.</p>
<p>For <italic>in vivo</italic> experiments STAgR plasmids and a wildtype Cas9 expression construct were mixed with Fast Green dye (0.3 mg ml<sup>−1</sup>; Sigma). 400ng (STAgR plasmids) and 800ng (Expression plasmid containing a Cas9 expression cassette derived from [<xref ref-type="bibr" rid="pone.0196015.ref022">22</xref>]) in 1 μl artificial CSF solution have been injected per fish representing a molar plasmid ratio of approximately 1:1. To conduct the injections fish were anaesthetized in 0.02% MS222 and immobilized in a sponge. A small hole was generated in the skull using a micro-knife to expose the brain tissue between the telencephalon and the optic tectum (Fine Science Tools). Subsequently, ventricular injections of the plasmid DNA were performed as previously described [<xref ref-type="bibr" rid="pone.0196015.ref023">23</xref>] using a glass capillary (Harvard Apparatus) and a pressure injector (200hPa, Femtojet<sup>®</sup>, Eppendorf). Five electrical pulses (amplitude: 65V; duration: 25ms; intervals: 1s) were delivered with a square-wave pulse generator TSS20 Ovodyne (Intracel) or by using the ECM830 square wave electroporator (BTX Harvard Apparatus). After the electroporation, fish were awakened in aerated water and kept in their normal husbandry conditions for 7 days until sacrifice and immunohistochemical analysis. All included animal work (and protocols) have been approved by the Goverment of Upper Bavaria (AZ 55.2-1-54-2532-09-16). For anesthesia, 0.02% MS222 and for euthanasia, an MS222 overdose (as approved in the above mentioned protocol) was used.</p>
</sec>
<sec id="sec003" sec-type="conclusions">
<title>Results and discussion</title>
<p>An optimal method for the routine generation of multiplex gRNA vectors would combine simplicity with speed, would be cost-effective, efficient and highly customizable. Aiming to meet these requirements we designed a cloning strategy (STAgR) based on enzymatic assembly of short gRNA expression units, amplified from a single DNA fragment as a template, the String (<xref ref-type="supplementary-material" rid="pone.0196015.s001">S1 Fig</xref>). To avoid the need to purchase new strings for each individual gRNA, we omitted the N20 targeting sequence on the DNA fragment, containing only the gRNA hairpin, a transcriptional stop signal (poly dT) and a human U6 promoter. Instead, we provide the individual N20 sequences by short overhang primers used to amplify the String by PCR (<xref ref-type="fig" rid="pone.0196015.g001">Fig 1</xref>). In contrast to existing cloning strategies STAgR provides three distinct advantages: (1) any chosen gRNA expression unit can be amplified from the same DNA String; (2) any specific number or chosen combination of gRNA transcription units can be cloned using one single String, since the N20 targeting sequences provides the necessary homology for Gibson assembly [<xref ref-type="bibr" rid="pone.0196015.ref024">24</xref>]; (3) substitution and combination of different Strings as PCR template allows straight-forward customization to different Cas9- or expression-systems.</p>
<fig id="pone.0196015.g001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0196015.g001</object-id>
<label>Fig 1</label>
<caption>
<title>The STAgR protocol.</title>
<p>(A) An Overview over STAgR procedure. STAgR allows simple and fast generation of multiplexing vectors in one overnight reaction. STAgR is also highly customizable as diverse strings and vectors can be used to assemble expression cassettes with different promoters and gRNA scaffolds. (B) Sequences of overhang primers used for generation of STAgR vectors.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.g001" xlink:type="simple"/>
</fig>
<p>First, we tested the feasibility of STAgR by aiming to clone three different sets of four individual gRNAs into a standard gRNA expression vector, pgRNA1 [<xref ref-type="bibr" rid="pone.0196015.ref025">25</xref>, <xref ref-type="bibr" rid="pone.0196015.ref026">26</xref>]. Following a standard PCR and Gibson assembly protocol (<xref ref-type="supplementary-material" rid="pone.0196015.s003">S1 File</xref>, <xref ref-type="supplementary-material" rid="pone.0196015.s001">S1 Fig</xref>), we routinely achieved hundreds of bacterial Ampicillin resistant colonies, indicating a large number of transformation events. To avoid unnecessary time- and cost-consuming vector preparation and sequencing, we devised a robust PCR strategy to quickly characterize the accuracy of the transformed vectors in individual bacterial colonies (<xref ref-type="supplementary-material" rid="pone.0196015.s003">S1 File</xref>, <xref ref-type="fig" rid="pone.0196015.g002">Fig 2A</xref>). This enabled us not only to concentrate downstream analysis on a distinct set of vectors, but also to comprehensively characterize STAgR efficiencies. The quantification presented in <xref ref-type="fig" rid="pone.0196015.g002">Fig 2B</xref> and the example of an analytical gel in <xref ref-type="fig" rid="pone.0196015.g002">Fig 2A</xref> shows that the tested STAgR strategy is successful in generating individual multiplexed gRNA vectors. Indeed, over a third (34%, (n = 130)) of bacterial clones possessed the envisaged four gRNA expression units, which, as confirmed by subsequent Sanger sequencing, have been matching the in silico designed gRNA vector perfectly in most tested cases (90%, 5 clones each sequenced in 8 independent experiments; n = 40). This indicated that likely a small number of bacterial clones are sufficient to routinely retrieve immediately at least one impeccable plasmid.</p>
<fig id="pone.0196015.g002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0196015.g002</object-id>
<label>Fig 2</label>
<caption>
<title>Functional validation of STAgR.</title>
<p>(A) Colony PCR of a 4xSTAgR reaction (using a string sequence containing a hU6 promoter and a canonical gRNA scaffold). 24 bacterial colonies are shown, of which six present the amplicon size indicative of the full length reaction (1596 bp). Additionally marked are amplicon sizes indicative of two (823 bp) and single gRNAs (458 bp). (B) Quantification of cloning efficiencies from three different 4xSTAgR reactions (n = 130). (C) A schematic showing constructs used for functional validation of STAgR gRNAs. A gRNA targeting the GFP ORF was either delivered in a single gRNA expression vector or on each of four different positions in STAgR vectors. (D) Functional validation of STAgR vectors shown in Fig 2C. HeLa cells stably expressing d2GFP and Cas9 have been transfected with vectors depicted above. Flow cytometry indicates that STAgR constructs are similarly efficient in mutating the ORF of GFP compared to a single gRNA vector. (E) Colony PCR of a 4xSTAgR reaction using four different promoters and SAM loop scaffolds. 24 bacterial colonies are shown, of which seven colonies incorporated the amplicon size indicative of the full length reaction (2043 bp). Shorter amplicons are indicative of gRNA subsets, which vary in size, depending on the incorporated promoter.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.g002" xlink:type="simple"/>
</fig>
<p>Vectors containing multiple gRNA expression cassettes in close proximity are crucially dependent on efficient promoter and terminator sequences as transcriptional interference and/or transcriptional run-through hamper the functionality of individual gRNA sequences. Since it is still a complicated task to characterize these undesirable effects, as well as to determine the integrity and expression of individual gRNAs directly, we instead employed instead a genetic assay to quantify whether the effectiveness of a gRNA cassette changes with its position on an otherwise identical STAgR plasmid. We incorporated a single GFP-targeting gRNA into four STAgR plasmids and compared them directly to standard vectors containing only one single gRNA expression unit. We chose the assembly in such a way, that the GFP-targeting gRNA becomes incorporated on four different positions between three non-GFP-targeting control gRNA units (<xref ref-type="fig" rid="pone.0196015.g002">Fig 2C and 2D</xref>). We transfected human HeLa cells, stably expressing Cas9 and GFP, with the above mentioned gRNA expression plasmids and found that when using a single gRNA expression vector 72% of cells lost GFP expression after eight days, indicating the creation of detrimental ORF mutations. Reassuringly, STAgR plasmids containing the same GFP targeting gRNA on any of the four positions (next to non-GFP-targeting control gRNAs) triggered comparable GFP loss in site-by-site experiments, indicating similar functionality to single gRNA expression plasmids and suggesting absence of transcriptional interference or read-through in the STAgR vectors.</p>
<p>To demonstrate the customizability of the presented STAgR protocol, we generated a series of Strings to be used as alternative templates (<xref ref-type="fig" rid="pone.0196015.g001">Fig 1</xref>). We tested not only the adaptability of STAgR to different promoters, but also structurally different gRNA sequences. Shown as an example in <xref ref-type="fig" rid="pone.0196015.g002">Fig 2E</xref> is the assembly of four gRNAs, driven by four different promoter (human U6, mouse U6, 7SK and H1) and each containing additional RNA structures (one or two SAM loops) 3' from the gRNA hairpin to allow the targeting of MS2-fusion proteins to chosen genomic sites in addition to Cas9 fusion proteins [<xref ref-type="bibr" rid="pone.0196015.ref027">27</xref>]. One step STAgR assembly of this highly customized and combinatorial strategy proofed to be of similar efficiency as the STAgR strategy described before (ca. 30%, <xref ref-type="fig" rid="pone.0196015.g002">Fig 2E</xref>) and indicates a decisive advantage for the use of this method when combining different Cas9 variants, MS2 fusion proteins or dCas9 effectors</p>
<p>To further investigate the limits of the STAgR protocol we increased the number of gRNA cassettes to be incorporated in one single reaction step. As depicted in <xref ref-type="fig" rid="pone.0196015.g003">Fig 3A</xref>, increasing the number of individual gRNA cassettes to six did not change the efficiency of the STAgR approach. A significant proportion of bacterial colonies were indicative of full gRNA incorporation in the PCR assay (30%, n = 24) and all those tested were revealing perfect assembly when sequenced (<xref ref-type="supplementary-material" rid="pone.0196015.s002">S2A Fig</xref>). Following the STAgR protocol we routinely generate vectors with up to eight expression units, the maximum number of units we have tested so far (<xref ref-type="fig" rid="pone.0196015.g003">Fig 3B</xref>) and to our knowledge amongst the highest number of gRNA units generated on single CRISPR vectors by any method. Moreover, colony PCRs also reveal, that those STAgR clones, which apparently do not contain all gRNA expression units in completion, possess mostly insert sizes representing integer multiples of single gRNA expression units, something we have observed in each experiment we have conducted so far (Figs <xref ref-type="fig" rid="pone.0196015.g002">2A, 2E</xref> and <xref ref-type="fig" rid="pone.0196015.g003">3A</xref>). Thus we employed Sanger sequencing to investigate, the origin of the assembly failure and the sequences of the resulting plasmids. Interestingly, nearly all (87%, n = 15) of those truncated plasmids contained in silico designed sequences without a cloning scar, breakage points or sequence repetition, but were entirely lacking one or more gRNA expression units (for examples see <xref ref-type="supplementary-material" rid="pone.0196015.s002">S2B–S2E Fig</xref>). This surprising result is due to a low-probability alignment of String sequences during assembly and offers the unexpected possibility to use STAgR not only for the generation of multiplex gRNA vectors, but also for the simultaneous obtainment of gRNA subsets.</p>
<fig id="pone.0196015.g003" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0196015.g003</object-id>
<label>Fig 3</label>
<caption>
<title>Application of STAgR.</title>
<p>(A) Colony PCR of a 6xSTAgR reaction using two different promoters as well as both, the canonical and the SAM loop gRNA scaffold. The gel shows a colony PCR of 22 bacterial colonies, of which seven showed the amplicon indicative of the full length STAgR reaction (2444bp). (B) Exemplary colony PCR of STAgR constructs with 0 to 8 gRNA expression cassettes. (C) A STAgR plasmid containing four gRNAs or a mixture of four single gRNA plasmids have been transfected into P19 Cells expressing dCas9-VPR. (D) After 7 days mRNA was extracted and transcript levels of target genes have been compared via qPCR. Error bars depict standard errors of the mean.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.g003" xlink:type="simple"/>
</fig>
<p>To demonstrate the added value of combining multiple gRNAs on single vectors, we produced a STAgR plasmid containing four gRNAs, of which one is targeting the promoter of the neuronal gene Satb2, one is targeting the promoter of the cardiac muscle actin gene Actc1 and the last two are binding the promoter region of the gene Ttn1 (<xref ref-type="fig" rid="pone.0196015.g003">Fig 3C</xref>). dCas9-VPR expressing P19 cells transfected with this STAgR plasmid upregulate two of three of these genes substantially stronger than cells receiving only a mixture of single gRNAs, indicating a distinct advantage for the use of STAgR in transcript activation over conventional approaches (<xref ref-type="fig" rid="pone.0196015.g003">Fig 3D</xref>).</p>
<p>To test whether the in vivo use of STAgR plasmids allows efficient simultaneous disruption of multiple genes in individual cells, we employed expression vectors commonly used in zebrafish and used the protocol at hand to incorporate three gRNAs targeting GFP and Sox2 or a control STAgR vector. Subsequently, we electroporated ependymoglia in the brains of three and a half months old GFAP-GFP transgenic zebrafish, Tg(gfap:GFP) (n = 6), as previously done [<xref ref-type="bibr" rid="pone.0196015.ref028">28</xref>, <xref ref-type="bibr" rid="pone.0196015.ref029">29</xref>] in three independent experiments using STAgR plasmids and a wildtype Cas9 expression construct (<xref ref-type="fig" rid="pone.0196015.g004">Fig 4</xref> [<xref ref-type="bibr" rid="pone.0196015.ref022">22</xref>]). Seven days later we analyzed the outcome, which proved to be highly reproducible over animals and experiments. As depicted in <xref ref-type="fig" rid="pone.0196015.g004">Fig 4</xref>, a large number of ependymoglia lost GFP and Sox2 expression, while in the control electroporated brains ependymoglia cells continuously express both proteins. To our knowledge this represents the first CRISPR mediated gene knockout in adult fish brains. Moreover, most cells negative for one protein were also devoid of the other, certifying an efficient accomplishment of multiple gene targeting using STAgR in vivo.</p>
<fig id="pone.0196015.g004" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0196015.g004</object-id>
<label>Fig 4</label>
<caption>
<title>In vivo application of STAgR.</title>
<p>STAgR constructs allow simultaneous genetic deletions in vivo. Above: Imaging setup from whole mount adult zebrafish brains. Below: 3D reconstructions of whole mount Tg(gfap:GFP) zebrafish telencephali (depicted from above). GFP+ and Sox2+ ependymoglia have been electroporated with STAgR targeting GFP and Sox2 (above) or a vector control (below) together with a Cas9 expression vector. Scale bar represents 50μm.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.g004" xlink:type="simple"/>
</fig>
</sec>
<sec id="sec004" sec-type="conclusions">
<title>Conclusions</title>
<p>Efficient multi-gene and–locus targeting provides a critical bottleneck for the implementation of the ever increasing toolbox of CRISPR based methods. Combinations of a large number of gRNA expression vectors have the disadvantage that only a subset of cells receives all gRNA sequences. Furthermore, the limited number of available antibiotic and fluorescent selection markers makes this subset not even accessible for selective analysis. The synthesis of multi-gRNA expression vectors is slow and expensive and thus impedes the comprehensive validation of different targeting efficiencies and gRNA sequences, as well as a straight forward customization of vector backbones and CRISPR systems for most experimental setups. In contrast to this, STAgR is fast, cheap and highly efficient. Employing the protospacer sequences of the gRNAs as sources of homology for Gibson assembly enables simple and customizable vector generation for multi-gene and multi-locus targeting. Following the attached protocol, vectors allowing the simultaneous targeting of high numbers of genes or loci can be generated efficiently in one over-night reaction. Moreover, the STAgR protocol does not depend on expensive or restricted materials or skill sets; its simplicity makes the application universally available (see detailed supplementary manual, <xref ref-type="supplementary-material" rid="pone.0196015.s003">S1 File</xref>). Only few strategies have been published so far which allow the multiplexed generation of multiple gRNA vectors [<xref ref-type="bibr" rid="pone.0196015.ref030">30</xref>–<xref ref-type="bibr" rid="pone.0196015.ref034">34</xref>]. These methods have much practical value, but they either lack the simplicity of vector generation in a single step, the high number of individual gRNA expression cassettes that can be combined, the customizability and/or the independence from purchasing new large DNA fragments for each individual gRNA sequence. STAgR, a one-step method for the generation of functional gRNA vectors, is reliable, highly customizable, simple and efficient, to prove its effectiveness we used it to generate the first in vivo gene targeting in the adult fish brain.</p>
<sec id="sec005">
<title>Accession numbers</title>
<p>Plasmids for STAgR cloning can be obtained from Addgene and sequences from figshare (<ext-link ext-link-type="uri" xlink:href="https://figshare.com/projects/One_step_generation_of_customizable_gRNA_vectors_for_multiplex_CRISPR_approaches_through_string_assembly_gRNA_cloning_STAgR_/31046" xlink:type="simple">https://figshare.com/projects/One_step_generation_of_customizable_gRNA_vectors_for_multiplex_CRISPR_approaches_through_string_assembly_gRNA_cloning_STAgR_/31046</ext-link>). The ID numbers are pcDNA_STAGR_SAMScaffold_hH1 (ID 102847), pcDNA_STAGR_SAMScaffold_h7SK (ID 102846), pcDNA_STAGR_SAMScaffold_mU6 (ID 102845), pcDNA_STAGR_gRNAScaffold_mU6 (ID 102844), pcDNA_STAGR_SAMScaffold_hU6 (ID 102843), pcDNA_STAGR_gRNAScaffold_h7SK (ID 102842), pcDNA_STAGR_gRNAScaffold_hH1 (ID 102841), pcDNA_STAGR_gRNAScaffold_hU6 (ID 102840), STAgR_mCherry (ID 102993), STAgR_Neo (ID 102992).</p>
</sec>
</sec>
<sec id="sec006">
<title>Supporting information</title>
<supplementary-material id="pone.0196015.s001" mimetype="application/eps" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.s001" xlink:type="simple">
<label>S1 Fig</label>
<caption>
<title>Overview of the STAgR protocol.</title>
<p>(EPS)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0196015.s002" mimetype="image/tiff" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.s002" xlink:type="simple">
<label>S2 Fig</label>
<caption>
<title>Sanger sequencing of five clones acquired in one single 6xSTAgR reaction.</title>
<p>Upper left: scheme depicting complete and partial incorporations. Upper right: colony PCRs of five random clones sequenced. Shown below are sequences obtained demonstrating accurate incorporation of 6 (A), 4 (B), 3 (C), 2 (D) or 1 (E) gRNA cassettes.</p>
<p>(TIFF)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0196015.s003" mimetype="application/pdf" position="float" xlink:href="info:doi/10.1371/journal.pone.0196015.s003" xlink:type="simple">
<label>S1 File</label>
<caption>
<title>A detailed protocol for STAgR cloning.</title>
<p>(PDF)</p>
</caption>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<p>The authors would like to thank Prof. Dr. Stephan Beck for his input, help and support in developing the STAgR method.</p>
</ack>
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