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Synthetic Protein Circuits and Devices Based on Reversible Protein-Protein Interactions: An Overview. Life (Basel) 2021; 11:life11111171. [PMID: 34833047 PMCID: PMC8623019 DOI: 10.3390/life11111171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 12/30/2022] Open
Abstract
Protein-protein interactions (PPIs) contribute to regulate many aspects of cell physiology and metabolism. Protein domains involved in PPIs are important building blocks for engineering genetic circuits through synthetic biology. These domains can be obtained from known proteins and rationally engineered to produce orthogonal scaffolds, or computationally designed de novo thanks to recent advances in structural biology and molecular dynamics prediction. Such circuits based on PPIs (or protein circuits) appear of particular interest, as they can directly affect transcriptional outputs, as well as induce behavioral/adaptational changes in cell metabolism, without the need for further protein synthesis. This last example was highlighted in recent works to enable the production of fast-responding circuits which can be exploited for biosensing and diagnostics. Notably, PPIs can also be engineered to develop new drugs able to bind specific intra- and extra-cellular targets. In this review, we summarize recent findings in the field of protein circuit design, with particular focus on the use of peptides as scaffolds to engineer these circuits.
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2
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Langan RA, Boyken SE, Ng AH, Samson JA, Dods G, Westbrook AM, Nguyen TH, Lajoie MJ, Chen Z, Berger S, Mulligan VK, Dueber JE, Novak WRP, El-Samad H, Baker D. De novo design of bioactive protein switches. Nature 2019; 572:205-210. [PMID: 31341284 PMCID: PMC6733528 DOI: 10.1038/s41586-019-1432-8] [Citation(s) in RCA: 158] [Impact Index Per Article: 31.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 06/19/2019] [Indexed: 02/06/2023]
Abstract
Allosteric regulation of protein function is widespread in biology, but is challenging for de novo protein design as it requires the explicit design of multiple states with comparable free energies. Here we explore the possibility of designing switchable protein systems de novo, through the modulation of competing inter- and intramolecular interactions. We design a static, five-helix 'cage' with a single interface that can interact either intramolecularly with a terminal 'latch' helix or intermolecularly with a peptide 'key'. Encoded on the latch are functional motifs for binding, degradation or nuclear export that function only when the key displaces the latch from the cage. We describe orthogonal cage-key systems that function in vitro, in yeast and in mammalian cells with up to 40-fold activation of function by key. The ability to design switchable protein functions that are controlled by induced conformational change is a milestone for de novo protein design, and opens up new avenues for synthetic biology and cell engineering.
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Affiliation(s)
- Robert A Langan
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
- Graduate Program in Biological Physics, Structure, and Design, University of Washington, Seattle, WA, USA
| | - Scott E Boyken
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - Andrew H Ng
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, UCSF, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, UC Berkeley, Berkeley, CA, USA
| | - Jennifer A Samson
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Galen Dods
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Alexandra M Westbrook
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Taylor H Nguyen
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Marc J Lajoie
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - Zibo Chen
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
- Graduate Program in Biological Physics, Structure, and Design, University of Washington, Seattle, WA, USA
| | - Stephanie Berger
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - Vikram Khipple Mulligan
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - John E Dueber
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Walter R P Novak
- Department of Chemistry, Wabash College, Crawfordsville, IN, USA
| | - Hana El-Samad
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - David Baker
- Department of Biochemistry, University of Washington, Seattle, WA, USA.
- Institute for Protein Design, University of Washington, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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3
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Ichikawa DM, Corbi-Verge C, Shen MJ, Snider J, Wong V, Stagljar I, Kim PM, Noyes MB. A Multireporter Bacterial 2-Hybrid Assay for the High-Throughput and Dynamic Assay of PDZ Domain-Peptide Interactions. ACS Synth Biol 2019; 8:918-928. [PMID: 30969105 DOI: 10.1021/acssynbio.8b00499] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The accurate determination of protein-protein interactions has been an important focus of molecular biology toward which much progress has been made due to the continuous development of existing and new technologies. However, current methods can have limitations, including scale and restriction to high affinity interactions, limiting our understanding of a large subset of these interactions. Here, we describe a modified bacterial-hybrid assay that employs combined selectable and scalable reporters that enable the sensitive screening of large peptide libraries followed by the sorting of positive interactions by the level of reporter output. We have applied this tool to characterize a set of human and E. coli PDZ domains. Our results are consistent with prior characterization of these proteins, and the improved sensitivity increases our ability to predict known and novel in vivo binding partners. This approach allows for the recovery of a wide range of affinities with a high throughput method that does not sacrifice the scale of the screen.
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Affiliation(s)
- David M. Ichikawa
- Department of Biochemistry Molecular Pharmacology and Institute for Systems Genetics, NYU Langone Health, New York, New York 10016, United States
| | - Carles Corbi-Verge
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Michael J. Shen
- Department of Biochemistry Molecular Pharmacology and Institute for Systems Genetics, NYU Langone Health, New York, New York 10016, United States
| | - Jamie Snider
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Victoria Wong
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Igor Stagljar
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Philip M. Kim
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Marcus B. Noyes
- Department of Biochemistry Molecular Pharmacology and Institute for Systems Genetics, NYU Langone Health, New York, New York 10016, United States
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4
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Heiderscheit EA, Eguchi A, Spurgat MC, Ansari AZ. Reprogramming cell fate with artificial transcription factors. FEBS Lett 2018; 592:888-900. [PMID: 29389011 DOI: 10.1002/1873-3468.12993] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 01/15/2018] [Accepted: 01/24/2018] [Indexed: 01/10/2023]
Abstract
Transcription factors (TFs) reprogram cell states by exerting control over gene regulatory networks and the epigenetic landscape of a cell. Artificial transcription factors (ATFs) are designer regulatory proteins comprised of modular units that can be customized to overcome challenges faced by natural TFs in establishing and maintaining desired cell states. Decades of research on DNA-binding proteins and synthetic molecules has provided a molecular toolkit for ATF design and the construction of genome-scale libraries of ATFs capable of phenotypic manipulation and reprogramming of cell states. Here, we compare the unique strengths and limitations of different ATF platforms, highlight the advantages of cooperative assembly, and present the potential of ATF libraries in revealing gene regulatory networks that govern cell fate choices.
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Affiliation(s)
- Evan A Heiderscheit
- Department of Biochemistry, University of Wisconsin - Madison, WI, USA.,The Genome Center of Wisconsin, University of Wisconsin - Madison, WI, USA
| | - Asuka Eguchi
- Department of Biochemistry, University of Wisconsin - Madison, WI, USA.,The Genome Center of Wisconsin, University of Wisconsin - Madison, WI, USA
| | - Mackenzie C Spurgat
- Department of Biochemistry, University of Wisconsin - Madison, WI, USA.,The Genome Center of Wisconsin, University of Wisconsin - Madison, WI, USA
| | - Aseem Z Ansari
- Department of Biochemistry, University of Wisconsin - Madison, WI, USA.,The Genome Center of Wisconsin, University of Wisconsin - Madison, WI, USA
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5
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Wosika V, Durandau E, Varidel C, Aymoz D, Schmitt M, Pelet S. New families of single integration vectors and gene tagging plasmids for genetic manipulations in budding yeast. Mol Genet Genomics 2016; 291:2231-2240. [PMID: 27637489 DOI: 10.1007/s00438-016-1249-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 09/06/2016] [Indexed: 11/27/2022]
Abstract
The tractability of the budding yeast genome has provided many insights into the fundamental mechanisms regulating cellular life. With the advent of synthetic biology and single-cell measurements, novel tools are required to manipulate the yeast genome in a more controlled manner. We present, here, a new family of yeast shuttle vectors called single integration vectors (pSIV). Upon transformation in yeast, these plasmids replace the entire deficient auxotrophy marker locus by a cassette containing an exogenous marker. As shown using flow cytometry, this complete replacement results in a unique integration of the desired DNA fragment at the marker locus. In addition, a second transcriptional unit can be inserted to achieve the simultaneous integration of two constructs. The selection marker cassettes, present in the pSIV, were also used to generate a complete set of gene tagging plasmids (pGT) encompassing a large palette of fluorescent proteins, from a cyan fluorescent protein to a near-infrared tandem dimer red fluorescent protein. These tagging cassettes are orthogonal to each other thanks to the use of different TEF promoter and terminator couples, thereby avoiding marker cassette switching and favoring integration in the desired locus. In summary, we have created two sets of robust molecular tools for the precise genetic manipulation of the budding yeast.
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Affiliation(s)
- Victoria Wosika
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland
| | - Eric Durandau
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland
| | - Clémence Varidel
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland
| | - Delphine Aymoz
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland
| | - Marta Schmitt
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland
| | - Serge Pelet
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
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6
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Persikov AV, Wetzel JL, Rowland EF, Oakes BL, Xu DJ, Singh M, Noyes MB. A systematic survey of the Cys2His2 zinc finger DNA-binding landscape. Nucleic Acids Res 2015; 43:1965-84. [PMID: 25593323 PMCID: PMC4330361 DOI: 10.1093/nar/gku1395] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Cys2His2 zinc fingers (C2H2-ZFs) comprise the largest class of metazoan DNA-binding domains. Despite this domain's well-defined DNA-recognition interface, and its successful use in the design of chimeric proteins capable of targeting genomic regions of interest, much remains unknown about its DNA-binding landscape. To help bridge this gap in fundamental knowledge and to provide a resource for design-oriented applications, we screened large synthetic protein libraries to select binding C2H2-ZF domains for each possible three base pair target. The resulting data consist of >160 000 unique domain-DNA interactions and comprise the most comprehensive investigation of C2H2-ZF DNA-binding interactions to date. An integrated analysis of these independent screens yielded DNA-binding profiles for tens of thousands of domains and led to the successful design and prediction of C2H2-ZF DNA-binding specificities. Computational analyses uncovered important aspects of C2H2-ZF domain-DNA interactions, including the roles of within-finger context and domain position on base recognition. We observed the existence of numerous distinct binding strategies for each possible three base pair target and an apparent balance between affinity and specificity of binding. In sum, our comprehensive data help elucidate the complex binding landscape of C2H2-ZF domains and provide a foundation for efforts to determine, predict and engineer their DNA-binding specificities.
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Affiliation(s)
- Anton V Persikov
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Joshua L Wetzel
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - Elizabeth F Rowland
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Benjamin L Oakes
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Denise J Xu
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Mona Singh
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - Marcus B Noyes
- The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
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7
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Selgrade DF, Lohmueller JJ, Lienert F, Silver PA. Protein scaffold-activated protein trans-splicing in mammalian cells. J Am Chem Soc 2013; 135:7713-9. [PMID: 23621664 DOI: 10.1021/ja401689b] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Conditional protein splicing is a powerful biotechnological tool that can be used to rapidly and post-translationally control the activity of a given protein. Here we demonstrate a novel conditional splicing system in which a genetically encoded protein scaffold induces the splicing and activation of an enzyme in mammalian cells. In this system the protein scaffold binds to two inactive split intein/enzyme extein protein fragments leading to intein fragment complementation, splicing, and activation of the firefly luciferase enzyme. We first demonstrate the ability of antiparallel coiled-coils (CCs) to mediate splicing between two intein fragments, effectively creating two new split inteins. We then generate and test two versions of the scaffold-induced splicing system using two pairs of CCs. Finally, we optimize the linker lengths of the proteins in the system and demonstrate 13-fold activation of luciferase by the scaffold compared to the activity of negative controls. Our protein scaffold-triggered conditional splicing system is an effective strategy to control enzyme activity using a protein input, enabling enhanced genetic control over protein splicing and the potential creation of splicing-based protein sensors and autoregulatory systems.
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Affiliation(s)
- Daniel F Selgrade
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA
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8
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Whole-embryo modeling of early segmentation in Drosophila identifies robust and fragile expression domains. Biophys J 2011; 101:287-96. [PMID: 21767480 DOI: 10.1016/j.bpj.2011.05.060] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2011] [Revised: 05/03/2011] [Accepted: 05/19/2011] [Indexed: 11/24/2022] Open
Abstract
Segmentation of the Drosophila melanogaster embryo results from the dynamic establishment of spatial mRNA and protein patterns. Here, we exploit recent temporal mRNA and protein expression measurements on the full surface of the blastoderm to calibrate a dynamical model of the gap gene network on the entire embryo cortex. We model the early mRNA and protein dynamics of the gap genes hunchback, Kruppel, giant, and knirps, taking as regulatory inputs the maternal Bicoid and Caudal gradients, plus the zygotic Tailless and Huckebein proteins. The model captures the expression patterns faithfully, and its predictions are assessed from gap gene mutants. The inferred network shows an architecture based on reciprocal repression between gap genes that can stably pattern the embryo on a realistic geometry but requires complex regulations such as those involving the Hunchback monomer and dimers. Sensitivity analysis identifies the posterior domain of giant as among the most fragile features of an otherwise robust network, and hints at redundant regulations by Bicoid and Hunchback, possibly reflecting recent evolutionary changes in the gap-gene network in insects.
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9
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Purcell O, di Bernardo M, Grierson CS, Savery NJ. A multi-functional synthetic gene network: a frequency multiplier, oscillator and switch. PLoS One 2011; 6:e16140. [PMID: 21359152 PMCID: PMC3040778 DOI: 10.1371/journal.pone.0016140] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2010] [Accepted: 12/13/2010] [Indexed: 01/15/2023] Open
Abstract
We present the design and analysis of a synthetic gene network that performs frequency multiplication. It takes oscillatory transcription factor concentrations, such as those produced from the currently available genetic oscillators, as an input, and produces oscillations with half the input frequency as an output. Analysis of the bifurcation structure also reveals novel, programmable multi-functionality; in addition to functioning as a frequency multiplier, the network is able to function as a switch or an oscillator, depending on the temporal nature of the input. Multi-functionality is often observed in neuronal networks, where it is suggested to allow for the efficient coordination of different responses. This network represents a significant theoretical addition that extends the capabilities of synthetic gene networks.
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Affiliation(s)
- Oliver Purcell
- Department of Engineering Mathematics, Bristol Centre for Complexity Sciences, University of Bristol, Bristol, United Kingdom.
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10
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Fegan A, White B, Carlson JCT, Wagner CR. Chemically controlled protein assembly: techniques and applications. Chem Rev 2010; 110:3315-36. [PMID: 20353181 DOI: 10.1021/cr8002888] [Citation(s) in RCA: 236] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Adrian Fegan
- Department of Medicinal Chemistry, University of Minnesota, Minneapolis, Minnesota 55455, USA
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11
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Reinke AW, Grant RA, Keating AE. A synthetic coiled-coil interactome provides heterospecific modules for molecular engineering. J Am Chem Soc 2010; 132:6025-31. [PMID: 20387835 PMCID: PMC2940225 DOI: 10.1021/ja907617a] [Citation(s) in RCA: 146] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The versatile coiled-coil protein motif is widely used to induce and control macromolecular interactions in biology and materials science. Yet the types of interaction patterns that can be constructed using known coiled coils are limited. Here we greatly expand the coiled-coil toolkit by measuring the complete pairwise interactions of 48 synthetic coiled coils and 7 human bZIP coiled coils using peptide microarrays. The resulting 55-member protein "interactome" includes 27 pairs of interacting peptides that preferentially heteroassociate. The 27 pairs can be used in combinations to assemble sets of 3 to 6 proteins that compose networks of varying topologies. Of special interest are heterospecific peptide pairs that participate in mutually orthogonal interactions. Such pairs provide the opportunity to dimerize two separate molecular systems without undesired crosstalk. Solution and structural characterization of two such sets of orthogonal heterodimers provide details of their interaction geometries. The orthogonal pair, along with the many other network motifs discovered in our screen, provide new capabilities for synthetic biology and other applications.
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12
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Laner-Plamberger S, Kaser A, Paulischta M, Hauser-Kronberger C, Eichberger T, Frischauf AM. Cooperation between GLI and JUN enhances transcription of JUN and selected GLI target genes. Oncogene 2009; 28:1639-51. [PMID: 19219074 DOI: 10.1038/onc.2009.10] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Sustained Hedgehog (HH) signaling is implicated in basal cell carcinoma of the skin and other types of cancer. Here we show that GLI1 and GLI2, the main transcriptional activators of the HH pathway, directly regulate expression of the activator protein 1 (AP-1) family member JUN, a transcription factor controlling keratinocyte proliferation and skin homeostasis. Activation of the JUN promoter by GLI is dependent on a GLI-binding site and the AP-1 sites known to be involved in self-activation of JUN. Transcription of JUN is greatly enhanced in the presence of GLI and requires activated JUN protein. GLI2act is a more potent activator than GLI1 in these experiments and physical interaction with phosphorylated JUN was only detected for GLI2act. The synergistic effect of GLI and JUN extends to the activation of further GLI target genes as shown by shRNA-mediated knockdown of JUN in human keratinocytes. Some of these cooperatively activated genes are involved in cell-cycle progression, which is consistent with a significant reduction of the proliferative potential of GLI in the absence of JUN. These results suggest a novel connection between HH/GLI pathway activity and JUN, which may contribute to the oncogenic activity of HH/GLI signaling in skin.
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Affiliation(s)
- S Laner-Plamberger
- Department of Molecular Biology, University of Salzburg, Salzburg, Austria
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13
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Brayer KJ, Segal DJ. Keep your fingers off my DNA: protein-protein interactions mediated by C2H2 zinc finger domains. Cell Biochem Biophys 2008; 50:111-31. [PMID: 18253864 DOI: 10.1007/s12013-008-9008-5] [Citation(s) in RCA: 220] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2007] [Accepted: 12/28/2007] [Indexed: 11/28/2022]
Abstract
Cys2-His2 (C2H2) zinc finger domains (ZFs) were originally identified as DNA-binding domains, and uncharacterized domains are typically assumed to function in DNA binding. However, a growing body of evidence suggests an important and widespread role for these domains in protein binding. There are even examples of zinc fingers that support both DNA and protein interactions, which can be found in well-known DNA-binding proteins such as Sp1, Zif268, and Ying Yang 1 (YY1). C2H2 protein-protein interactions (PPIs) are proving to be more abundant than previously appreciated, more plastic than their DNA-binding counterparts, and more variable and complex in their interactions surfaces. Here we review the current knowledge of over 100 C2H2 zinc finger-mediated PPIs, focusing on what is known about the binding surface, contributions of individual fingers to the interaction, and function. An accurate understanding of zinc finger biology will likely require greater insights into the potential protein interaction capabilities of C2H2 ZFs.
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Affiliation(s)
- Kathryn J Brayer
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, AZ 85721, USA
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14
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Salis H, Kaznessis YN. Computer-aided design of modular protein devices: Boolean AND gene activation. Phys Biol 2006; 3:295-310. [PMID: 17200605 DOI: 10.1088/1478-3975/3/4/007] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Many potentially useful synthetic gene networks require the expression of an engineered gene if and only if two different DNA-binding proteins exist in sufficient concentration. While some natural and engineered systems activate gene expression according to a logical AND-like behavior, they often utilize allosteric or cooperative protein-protein interactions, rendering their components unsuitable for a toolbox of modular parts for use in multiple applications. Here, we develop a quantitative model to demonstrate that a small system of interacting fusion proteins, called a protein device, can activate an engineered gene according to the Boolean AND behavior while using only modular protein domains and DNA sites. The fusion proteins are created from transactivating, DNA-binding, non-DNA binding, and protein-protein interaction domains along with the corresponding peptide ligands. Using a combined kinetic and thermodynamic model, we identify the characteristics of the molecular components and their rates of constitutive production that maximize the fidelity of AND behavior. These AND protein devices facilitate the creation of complex genetic programs and may be used to create gene therapies, biosensors and other biomedical and biotechnological applications that turn on gene expression only when multiple DNA-binding proteins are simultaneously present.
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Affiliation(s)
- H Salis
- Department of Chemical Engineering & Materials Science, University of Minnesota, Minneapolis, MN 55455, USA.
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15
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Andrianantoandro E, Basu S, Karig DK, Weiss R. Synthetic biology: new engineering rules for an emerging discipline. Mol Syst Biol 2006; 2:2006.0028. [PMID: 16738572 PMCID: PMC1681505 DOI: 10.1038/msb4100073] [Citation(s) in RCA: 542] [Impact Index Per Article: 30.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2006] [Accepted: 03/17/2006] [Indexed: 12/12/2022] Open
Abstract
Synthetic biologists engineer complex artificial biological systems to investigate natural biological phenomena and for a variety of applications. We outline the basic features of synthetic biology as a new engineering discipline, covering examples from the latest literature and reflecting on the features that make it unique among all other existing engineering fields. We discuss methods for designing and constructing engineered cells with novel functions in a framework of an abstract hierarchy of biological devices, modules, cells, and multicellular systems. The classical engineering strategies of standardization, decoupling, and abstraction will have to be extended to take into account the inherent characteristics of biological devices and modules. To achieve predictability and reliability, strategies for engineering biology must include the notion of cellular context in the functional definition of devices and modules, use rational redesign and directed evolution for system optimization, and focus on accomplishing tasks using cell populations rather than individual cells. The discussion brings to light issues at the heart of designing complex living systems and provides a trajectory for future development.
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Affiliation(s)
| | - Subhayu Basu
- Department of Electrical Engineering, Princeton University, Princeton, NJ, USA
| | - David K Karig
- Department of Electrical Engineering, Princeton University, Princeton, NJ, USA
| | - Ron Weiss
- Department of Electrical Engineering, Princeton University, Princeton, NJ, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- Department of Electrical Engineering, Princeton University, J-319, E-Quad, Princeton, NJ 08544, USA. E-mail:
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