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Azizoğlu A, Loureiro C, Venetz J, Brent R. Autorepression-Based Conditional Gene Expression System in Yeast for Variation-Suppressed Control of Protein Dosage. Curr Protoc 2023; 3:e647. [PMID: 36708363 DOI: 10.1002/cpz1.647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Conditional control of gene expression allows an experimenter to investigate many aspects of a gene's function. In the model organism Saccharomyces cerevisiae, a number of methods to control gene expression are widely practiced, including induction by metabolites, small molecules, and even light. However, all current methods suffer from at least one of a set of drawbacks, including need for specialized growth conditions, leaky expression, or requirement of specialized equipment. Here we describe protocols using two transformations to construct strains that carry a new controller in which all these drawbacks are overcome. In these strains, the expression of a controlled gene of interest is repressed by the bacterial repressor TetR and induced by anhydrotetracycline. TetR also regulates its own expression, creating an autorepression loop. This autorepression allows tight control of gene expression and protein dosage with low cell-to-cell variation in expression. A second repressor, TetR-Tup1, prevents any leaky expression. We also present a protocol showing a particular workhorse application of such strains to generate synchronized cell populations. We turn off expression of the cell cycle regulator CDC20 completely, arresting the cell population, and then we turn it back on so that the synchronized cells resume cell cycle progression. This control system can be applied to any endogenous or exogenous gene for precise expression. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Generating a parent WTC846 strain Basic Protocol 2: Generating a WTC846 strain with controlled expression of the targeted gene Alternate Protocol: CRISPR-mediated promoter replacement Basic Protocol 3: Cell cycle synchronization/arrest and release using the WTC846- K3 ::CDC20 strain.
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Affiliation(s)
- Aslı Azizoğlu
- Computational Systems Biology and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland
| | - Cristina Loureiro
- Computational Systems Biology and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland
| | - Jonathan Venetz
- Computational Systems Biology and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland
| | - Roger Brent
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
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Seher TD, Nguyen N, Ramos D, Bapat P, Nobile CJ, Sindi SS, Hernday AD. AddTag, a two-step approach with supporting software package that facilitates CRISPR/Cas-mediated precision genome editing. G3 (BETHESDA, MD.) 2021; 11:jkab216. [PMID: 34544122 PMCID: PMC8496238 DOI: 10.1093/g3journal/jkab216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/13/2021] [Indexed: 12/22/2022]
Abstract
CRISPR/Cas-induced genome editing is a powerful tool for genetic engineering, however, targeting constraints limit which loci are editable with this method. Since the length of a DNA sequence impacts the likelihood it overlaps a unique target site, precision editing of small genomic features with CRISPR/Cas remains an obstacle. We introduce a two-step genome editing strategy that virtually eliminates CRISPR/Cas targeting constraints and facilitates precision genome editing of elements as short as a single base-pair at virtually any locus in any organism that supports CRISPR/Cas-induced genome editing. Our two-step approach first replaces the locus of interest with an "AddTag" sequence, which is subsequently replaced with any engineered sequence, and thus circumvents the need for direct overlap with a unique CRISPR/Cas target site. In this study, we demonstrate the feasibility of our approach by editing transcription factor binding sites within Candida albicans that could not be targeted directly using the traditional gene-editing approach. We also demonstrate the utility of the AddTag approach for combinatorial genome editing and gene complementation analysis, and we present a software package that automates the design of AddTag editing.
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Affiliation(s)
- Thaddeus D Seher
- Quantitative and Systems Biology Graduate Program, University of California, Merced, Merced, CA 95343, USA
| | - Namkha Nguyen
- Quantitative and Systems Biology Graduate Program, University of California, Merced, Merced, CA 95343, USA
| | - Diana Ramos
- Department of Molecular and Cell Biology, School of Natural Sciences, University of California, Merced, Merced, CA 95343, USA
| | - Priyanka Bapat
- Quantitative and Systems Biology Graduate Program, University of California, Merced, Merced, CA 95343, USA
| | - Clarissa J Nobile
- Department of Molecular and Cell Biology, School of Natural Sciences, University of California, Merced, Merced, CA 95343, USA
- Health Sciences Research Institute, University of California, Merced, Merced, CA 95343, USA
| | - Suzanne S Sindi
- Health Sciences Research Institute, University of California, Merced, Merced, CA 95343, USA
- Department of Applied Mathematics, School of Natural Sciences, University of California, Merced, Merced, CA 95343, USA
| | - Aaron D Hernday
- Department of Molecular and Cell Biology, School of Natural Sciences, University of California, Merced, Merced, CA 95343, USA
- Health Sciences Research Institute, University of California, Merced, Merced, CA 95343, USA
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Azizoglu A, Brent R, Rudolf F. A precisely adjustable, variation-suppressed eukaryotic transcriptional controller to enable genetic discovery. eLife 2021; 10:69549. [PMID: 34342575 PMCID: PMC8421071 DOI: 10.7554/elife.69549] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/02/2021] [Indexed: 11/13/2022] Open
Abstract
Conditional expression of genes and observation of phenotype remain central to biological discovery. Current methods enable either on/off or imprecisely controlled graded gene expression. We developed a 'well-tempered' controller, WTC846, for precisely adjustable, graded, growth condition independent expression of genes in Saccharomyces cerevisiae. Controlled genes are expressed from a strong semisynthetic promoter repressed by the prokaryotic TetR, which also represses its own synthesis; with basal expression abolished by a second, 'zeroing' repressor. The autorepression loop lowers cell-to-cell variation while enabling precise adjustment of protein expression by a chemical inducer. WTC846 allelic strains in which the controller replaced the native promoters recapitulated known null phenotypes (CDC42, TPI1), exhibited novel overexpression phenotypes (IPL1), showed protein dosage-dependent growth rates and morphological phenotypes (CDC28, TOR2, PMA1 and the hitherto uncharacterized PBR1), and enabled cell cycle synchronization (CDC20). WTC846 defines an 'expression clamp' allowing protein dosage to be adjusted by the experimenter across the range of cellular protein abundances, with limited variation around the setpoint.
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Affiliation(s)
| | - Roger Brent
- Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
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Elison GL, Xue Y, Song R, Acar M. Insights into Bidirectional Gene Expression Control Using the Canonical GAL1/GAL10 Promoter. Cell Rep 2019; 25:737-748.e4. [PMID: 30332652 PMCID: PMC6263159 DOI: 10.1016/j.celrep.2018.09.050] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 07/31/2018] [Accepted: 09/14/2018] [Indexed: 11/25/2022] Open
Abstract
Despite advances made in understanding the effects of promoter structure on transcriptional activity, limited knowledge exists regarding the role played by chromatin architecture in transcription. Previous work hypothesized that transcription from the bidirectional GAL1/GAL10 promoter is controlled through looping of its UAS region around a nonstandard nucleosome. Here, by editing the GAL1/GAL10 promoter at high resolution, we provide insights into bidirectional expression control. We demonstrate that the first and fourth Gal4 binding sites within the UAS do not functionally contribute to promoter activation. Instead, these sites, along with nearby regulatory regions, contribute to the directional regulation of gene expression. Furthermore, Gal4 binding to the third binding site is critical for gene expression, while binding to the other three sites is not sufficient for transcriptional activation. Because the GAL1/GAL10 UAS can activate gene expression in many eukaryotes, the regulatory mechanism presented is expected to operate broadly across the eukaryotic clade.
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Affiliation(s)
- Gregory L Elison
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA; Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT 06516, USA
| | - Yuan Xue
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA; Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT 06516, USA
| | - Ruijie Song
- Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT 06516, USA; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, 300 George Street, Suite 501, New Haven, CT 06511, USA
| | - Murat Acar
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA; Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT 06516, USA; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, 300 George Street, Suite 501, New Haven, CT 06511, USA; Department of Physics, Yale University, 217 Prospect Street, New Haven, CT 06511, USA.
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Luo X, Song R, Acar M. Multi-component gene network design as a survival strategy in diverse environments. BMC SYSTEMS BIOLOGY 2018; 12:85. [PMID: 30257679 PMCID: PMC6158886 DOI: 10.1186/s12918-018-0609-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 09/12/2018] [Indexed: 11/28/2022]
Abstract
Background Gene-environment interactions are often mediated though gene networks in which gene expression products interact with other network components to dictate network activity levels, which in turn determines the fitness of the host cell in specific environments. Even though a gene network is the right context for studying gene-environment interactions, we have little understanding on how systematic genetic perturbations affects fitness in the context of a gene network. Results Here we examine the effect of combinatorial gene dosage alterations on gene network activity and cellular fitness. Using the galactose utilization pathway as a model network in diploid yeast, we reduce the copy number of four regulatory genes (GAL2, GAL3, GAL4, GAL80) from two to one, and measure the activity of the perturbed networks. We integrate these results with competitive fitness measurements made in six different rationally-designed environments containing different galactose concentrations representing the natural induction spectrum of the galactose network. In the lowest galactose environment, we find a nonlinear relationship between gene expression and fitness while high galactose environments lead to a linear relationship between the two with a saturation regime reached at a sufficiently high galactose concentration. We further uncover environment-specific relevance of the different network components for dictating the relationship between the network activity and organismal fitness, indicating that none of the network components are redundant. Conclusions These results provide experimental support to the hypothesis that dynamic changes in the environment throughout natural evolution is key to structuring natural gene networks in a multi-component fashion, which robustly provides protection against population extinction in different environments. Electronic supplementary material The online version of this article (10.1186/s12918-018-0609-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xinyue Luo
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT, 06511, USA.,Systems Biology Institute, Yale University, 850 West Campus Drive, Room 122, West Haven, CT, 06516, USA
| | - Ruijie Song
- Systems Biology Institute, Yale University, 850 West Campus Drive, Room 122, West Haven, CT, 06516, USA.,Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, 300 George Street, Suite 501, New Haven, CT, 06511, USA
| | - Murat Acar
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT, 06511, USA. .,Systems Biology Institute, Yale University, 850 West Campus Drive, Room 122, West Haven, CT, 06516, USA. .,Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, 300 George Street, Suite 501, New Haven, CT, 06511, USA. .,Department of Physics, Yale University, 217 Prospect Street, New Haven, CT, 06511, USA.
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Elison GL, Acar M. Scarless genome editing: progress towards understanding genotype-phenotype relationships. Curr Genet 2018; 64:1229-1238. [PMID: 29872908 DOI: 10.1007/s00294-018-0850-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 05/26/2018] [Accepted: 05/31/2018] [Indexed: 01/31/2023]
Abstract
The ability to predict phenotype from genotype has been an elusive goal for the biological sciences for several decades. Progress decoding genotype-phenotype relationships has been hampered by the challenge of introducing precise genetic changes to specific genomic locations. Here we provide a comparative review of the major techniques that have been historically used to make genetic changes in cells as well as the development of the CRISPR technology which enabled the ability to make marker-free disruptions in endogenous genomic locations. We also discuss how the achievement of truly scarless genome editing has required further adjustments of the original CRISPR method. We conclude by examining recently developed genome editing methods which are not reliant on the induction of a DNA double strand break and discuss the future of both genome engineering and the study of genotype-phenotype relationships.
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Affiliation(s)
- Gregory L Elison
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT, 06511, USA.,Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT, 06516, USA
| | - Murat Acar
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT, 06511, USA. .,Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT, 06516, USA. .,Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, 300 George Street, Suite 501, New Haven, CT, 06511, USA. .,Department of Physics, Yale University, Prospect Street, New Haven, CT, 06511, USA.
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Soreanu I, Hendler A, Dahan D, Dovrat D, Aharoni A. Marker-free genetic manipulations in yeast using CRISPR/CAS9 system. Curr Genet 2018; 64:1129-1139. [PMID: 29626221 DOI: 10.1007/s00294-018-0831-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 03/26/2018] [Accepted: 03/27/2018] [Indexed: 12/20/2022]
Abstract
The budding yeast is currently one of the major model organisms for the study of a wide variety of biological processes. Genetic manipulation of yeast involves the extensive usage of selectable markers that can lead to undesired effects. Thus, marker-free genetic manipulation in yeast is highly desirable for gene/promoter replacement and various other applications. Here we combine the power of selectable markers followed by CRISPR/CAS9 genome editing for common genetic manipulations in yeast in a marker-free manner. We demonstrate our approach for whole gene and promoter replacements and for high-efficiency operator array integration. Our approach allows the utilization of many thousands of existing strains including library strains for the generation of significant genetic changes in yeast in a marker-free and cloning-free fashion.
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Affiliation(s)
- Inga Soreanu
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, 84105, Be'er Sheva, Israel
| | - Adi Hendler
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, 84105, Be'er Sheva, Israel
| | - Danielle Dahan
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, 84105, Be'er Sheva, Israel
| | - Daniel Dovrat
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, 84105, Be'er Sheva, Israel
| | - Amir Aharoni
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, 84105, Be'er Sheva, Israel.
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