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Augustine A, Messaabi A, Fantino E, Merindol N, Meddeb-Mouelhi F, Desgagné-Penix I. Multifactorial interaction and influence of culture conditions on yellow fluorescent protein production in Phaeodactylum tricornutum. BIORESOURCE TECHNOLOGY 2025; 425:132336. [PMID: 40044057 DOI: 10.1016/j.biortech.2025.132336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Revised: 03/02/2025] [Accepted: 03/02/2025] [Indexed: 03/16/2025]
Abstract
Phaeodactylum tricornutum is a promising host for light-driven synthesis of heterologous proteins. However, the marine cold-water environment and alkaline-acidic pH shifts in the culture, necessitated by the diatom's growth requirements. In this study, we analyzed the influence of growth condition on maturation and dynamics of the yellow fluorescent protein (YFP) in episomal-transformant P. tricornutum. A mathematical model was developed to detect the parameters that affect biomass and YFP production. Optimized conditions increased YFP mean fluorescence intensity (MFI) per cell by 4.2-fold (3.6 ± 0.6 to 15.4 ± 1.1) and total protein levels in the culture by 1.8-fold (123 ± 4 to 219 ± 9 µg L-1), without affecting biomass. YFP stability studies in P. tricornutum showed that the ubiquitin-proteasome system contributes the degradation of the recombinant protein, whereas newly synthesized YFP remains stable for up to 12 h. This optimization provides insights into the fluorescent protein-based heterologous production in diatoms.
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Affiliation(s)
- Arun Augustine
- Department of Chemistry, Biochemistry and Physics, Université du Québec à Trois-Rivières, 3351 boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada
| | - Anis Messaabi
- Department of Chemistry, Biochemistry and Physics, Université du Québec à Trois-Rivières, 3351 boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada
| | - Elisa Fantino
- Department of Chemistry, Biochemistry and Physics, Université du Québec à Trois-Rivières, 3351 boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada; Plant Biology Research Group, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada
| | - Natacha Merindol
- Department of Chemistry, Biochemistry and Physics, Université du Québec à Trois-Rivières, 3351 boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada
| | - Fatma Meddeb-Mouelhi
- Department of Chemistry, Biochemistry and Physics, Université du Québec à Trois-Rivières, 3351 boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada; Plant Biology Research Group, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada
| | - Isabel Desgagné-Penix
- Department of Chemistry, Biochemistry and Physics, Université du Québec à Trois-Rivières, 3351 boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada; Plant Biology Research Group, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada.
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2
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Paterou A, Sáez Conde J, Týč J, Sunter JD, Vaughan S, Gull K, Dean S. A comprehensive toolkit for protein localization and functional analysis in trypanosomatids. Open Biol 2025; 15:240361. [PMID: 40169015 PMCID: PMC11961264 DOI: 10.1098/rsob.240361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Revised: 02/03/2025] [Accepted: 03/04/2025] [Indexed: 04/03/2025] Open
Abstract
African trypanosomes are medically important parasites that cause sleeping sickness in humans and nagana in animals. In addition to their pathogenic role, they have emerged as valuable model organisms for studying fundamental biological processes. Protein tagging is a powerful tool for investigating protein localization and function. In a previous study, we developed two plasmids for rapid and reproducible polymerase chain reaction-based protein tagging in trypanosomes, which enabled the subcellular mapping of 89% of the trypanosome proteome. However, the limited selection of fluorescent protein tags and selectable markers restricted the flexibility of this approach. Here, we present an extended set of >100 plasmids that incorporate universal primer annealing sequences, enabling protein tagging with a range of fluorescent, biochemical and epitope tags, using five different selection markers. We evaluated the suitability of various fluorescent proteins for live and fixed cell imaging, fluorescent movies, and we demonstrate the use of tagging plasmids encoding tandem epitope tags to support expansion microscopy approaches. We show that this series of plasmids is functional in other trypanosomatid parasites, significantly increasing its value. Finally, we developed a new plasmid for tagging glycosylphosphatidylinositol-anchored proteins. We anticipate that this will be an important toolset for investigating trypanosomatid protein localization and function.
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Affiliation(s)
- Athina Paterou
- Directorate of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Julia Sáez Conde
- Directorate of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Jiří Týč
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Jack Daniel Sunter
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - Sue Vaughan
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - Keith Gull
- The Sir William Dunn School of Pathology, University of Oxford, Oxford, UK
- Department of Life Sciences, Imperial College London, London, UK
| | - Samuel Dean
- Directorate of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK
- The Sir William Dunn School of Pathology, University of Oxford, Oxford, UK
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3
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van Oppen YB, Milias-Argeitis A. Gradient matching accelerates mixed-effects inference for biochemical networks. Bioinformatics 2025; 41:btaf154. [PMID: 40199819 PMCID: PMC12034378 DOI: 10.1093/bioinformatics/btaf154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 02/28/2025] [Accepted: 04/07/2025] [Indexed: 04/10/2025] Open
Abstract
MOTIVATION Single-cell time series data often exhibit significant variability within an isogenic cell population. When modeling intracellular processes, it is therefore more appropriate to infer parameter distributions that reflect this variability, rather than fitting the population average to obtain a single point estimate. The Global Two-Stage (GTS) approach for nonlinear mixed-effects (NLME) models is a simple and modular method commonly used for this purpose. However, this method is computationally intensive due to its repeated use of nonconvex optimization and numerical integration of the underlying system. RESULTS We propose the Gradient Matching GTS (GMGTS) method as an efficient alternative to GTS. Gradient matching offers an integration-free approach to parameter estimation that is particularly powerful for systems that are linear in the unknown parameters, such as biochemical networks modeled by mass action kinetics. By incorporating gradient matching into the GTS framework, we expand its capabilities through uncertainty propagation calculations and an iterative estimation scheme for partially observed systems. Comparisons between GMGTS and GTS across various inference setups show that our method significantly reduces computational demands, facilitating the application of complex NLME models in systems biology. AVAILABILITY AND IMPLEMENTATION A Matlab implementation of GMGTS is provided at https://github.com/yulanvanoppen/GMGTS (DOI: http://doi.org/10.5281/zenodo.14884457).
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Affiliation(s)
- Yulan B van Oppen
- Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen 9747 AG, The Netherlands
| | - Andreas Milias-Argeitis
- Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen 9747 AG, The Netherlands
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4
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Stojković L, Gligorovski V, Geramimanesh M, Labagnara M, Rahi SJ. Automated plasmid design for marker-free genome editing in budding yeast. G3 (BETHESDA, MD.) 2025; 15:jkae297. [PMID: 39688855 PMCID: PMC11917472 DOI: 10.1093/g3journal/jkae297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 12/02/2024] [Indexed: 12/18/2024]
Abstract
Scarless genome editing in budding yeast with elimination of the selection marker has many advantages. Some markers such as URA3 and TRP1 can be recycled through counterselection. This permits seamless genome modification with pop-in/pop-out, in which a DNA construct first integrates in the genome and, subsequently, homologous regions recombine and excise undesired sequences. Popular approaches for creating such constructs use oligonucleotides and PCR. However, the use of oligonucleotides has many practical disadvantages. With the rapid reduction in price, synthesizing custom DNA sequences in specific plasmid backbones has become an appealing alternative. For designing plasmids for seamless pop-in/pop-out gene tagging or deletion, there are a number of factors to consider. To create only the shortest DNA sequences necessary, avoid errors in manual design, specify the amount of homology desired, and customize restriction sites, we created the computational tool PIPOline. Using it, we tested the ratios of homology that improve pop-out efficiency when targeting the genes HTB2 or WHI5. We supply optimal pop-in/pop-out plasmid sequences for tagging or deleting almost all S288C budding yeast open reading frames. Finally, we demonstrate how the histone variant Htb2 marked with a red fluorescent protein can be used as a cell-cycle stage marker, alternative to superfolder GFP, reducing light toxicity. We expect PIPOline to streamline genome editing in budding yeast.
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Affiliation(s)
- Lazar Stojković
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Vojislav Gligorovski
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Mahsa Geramimanesh
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Marco Labagnara
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Sahand Jamal Rahi
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
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5
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Vasan L, Chinchalongporn V, Saleh F, Zinyk D, Ke C, Suresh H, Ghazale H, Belfiore L, Touahri Y, Oproescu AM, Patel S, Rozak M, Amemiya Y, Han S, Moffat A, Black SE, McLaurin J, Near J, Seth A, Goubran M, Reiner O, Gillis J, Wang C, Okawa S, Schuurmans C. Examining the NEUROG2 lineage and associated gene expression in human cortical organoids. Development 2025; 152:dev202703. [PMID: 39680368 PMCID: PMC11829764 DOI: 10.1242/dev.202703] [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] [Received: 01/11/2024] [Accepted: 12/07/2024] [Indexed: 12/17/2024]
Abstract
Proneural genes are conserved drivers of neurogenesis across the animal kingdom. How their functions have adapted to guide human-specific neurodevelopmental features is poorly understood. Here, we mined transcriptomic data from human fetal cortices and generated from human embryonic stem cell-derived cortical organoids (COs) to show that NEUROG1 and NEUROG2 are most highly expressed in basal neural progenitor cells, with pseudotime trajectory analyses indicating that NEUROG1-derived lineages predominate early and NEUROG2 lineages later. Using ChIP-qPCR, gene silencing and overexpression studies in COs, we show that NEUROG2 is necessary and sufficient to directly transactivate known target genes (NEUROD1, EOMES, RND2). To identify new targets, we engineered NEUROG2-mCherry knock-in human embryonic stem cells for CO generation. The mCherry-high CO cell transcriptome is enriched in extracellular matrix-associated genes, and two genes associated with human-accelerated regions: PPP1R17 and FZD8. We show that NEUROG2 binds COL1A1, COL3A1 and PPP1R17 regulatory elements, and induces their ectopic expression in COs, although NEUROG2 is not required for this expression. Neurog2 similarly induces Col3a1 and Ppp1r17 in murine P19 cells. These data are consistent with a conservation of NEUROG2 function across mammalian species.
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Affiliation(s)
- Lakshmy Vasan
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Vorapin Chinchalongporn
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Fermisk Saleh
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Dawn Zinyk
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Cao Ke
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Immunology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Hamsini Suresh
- Department of Physiology, University of Toronto, Medical Sciences Building, 1 King's College Cir, Toronto, ON M5S 1A8, Canada
- Terrence Donnelly Centre for Cellular and Biomolecular Research, 160 College St, Toronto, ON M5S 3E1, Canada
| | - Hussein Ghazale
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Lauren Belfiore
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Yacine Touahri
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Ana-Maria Oproescu
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Shruti Patel
- Department of Medical Biophysics, 101 College St Suite 15-701, Toronto General Hospital, University of Toronto, Toronto, ON M5G 1L7, Canada
- Sunnybrook Research Institute, Physical Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
| | - Matthew Rozak
- Department of Medical Biophysics, 101 College St Suite 15-701, Toronto General Hospital, University of Toronto, Toronto, ON M5G 1L7, Canada
- Sunnybrook Research Institute, Physical Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
| | - Yutaka Amemiya
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Sisu Han
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Alexandra Moffat
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Sandra E. Black
- Dr. Sandra Black Centre for Brain Resilience & Recovery, LC Campbell Cognitive Neurology Unit, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; Hurvitz Brain Sciences Program
- Department of Medicine (Neurology) (SEB), University of Toronto, Toronto, ON M5S 3H2, Canada
| | - JoAnne McLaurin
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Jamie Near
- Department of Medical Biophysics, 101 College St Suite 15-701, Toronto General Hospital, University of Toronto, Toronto, ON M5G 1L7, Canada
- Sunnybrook Research Institute, Physical Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
| | - Arun Seth
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Maged Goubran
- Department of Medical Biophysics, 101 College St Suite 15-701, Toronto General Hospital, University of Toronto, Toronto, ON M5G 1L7, Canada
- Sunnybrook Research Institute, Physical Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
| | - Orly Reiner
- Departments of Molecular Genetics and Molecular Neuroscience, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Jesse Gillis
- Department of Physiology, University of Toronto, Medical Sciences Building, 1 King's College Cir, Toronto, ON M5S 1A8, Canada
- Terrence Donnelly Centre for Cellular and Biomolecular Research, 160 College St, Toronto, ON M5S 3E1, Canada
| | - Chao Wang
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Immunology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Satoshi Okawa
- Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
- McGowan Institute for Regenerative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
| | - Carol Schuurmans
- Sunnybrook Research Institute, Biological Sciences Platform, Hurvitz Brain Sciences Program, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
- Department of Biochemistry, Medical Sciences Building, 1 King's College Cir, University of Toronto, Toronto, ON M5S 1A8, Canada
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6
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Cleere MM, Gardner KH. Optogenetic Control of Phosphate-Responsive Genes Using Single-Component Fusion Proteins in Saccharomyces cerevisiae. ACS Synth Biol 2024; 13:4085-4098. [PMID: 39531032 DOI: 10.1021/acssynbio.4c00529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Blue light illumination can be detected by light-oxygen-voltage (LOV) photosensing proteins and translated into a range of biochemical responses, facilitating the generation of novel optogenetic tools to control cellular function. Here, we develop new variants of our previously described VP-EL222 light-dependent transcription factor and apply them to study the phosphate-responsive signaling (PHO) pathway in the budding yeast Saccharomyces cerevisiae, exemplifying the utilities of these new tools. Focusing first on the VP-EL222 protein itself, we quantified the tunability of gene expression as a function of light intensity and duration and demonstrated that this system can tolerate the addition of substantially larger effector domains without impacting function. We further demonstrated the utility of several EL222-driven transcriptional controllers in both plasmid and genomic settings, using the PHO5 and PHO84 promoters in their native chromosomal contexts as examples. These studies highlight the utility of light-controlled gene activation using EL222 tethered to either artificial transcription domains or yeast activator proteins (Pho4). Similarly, we demonstrate the ability to optogenetically repress gene expression with EL222 fused to the yeast Ume6 protein. We finally investigated the effects of moving EL222 recruitment sites to different locations within the PHO5 and PHO84 promoters, as well as determining how this artificial light-controlled regulation could be integrated with the native controls dependent on inorganic phosphate (Pi) availability. Taken together, our work expands the applicability of these versatile optogenetic tools in the types of functionalities that they can deliver and the biological questions that can be probed.
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Affiliation(s)
- Matthew M Cleere
- Structural Biology Initiative, CUNY Advanced Science Research Center, New York, New York 10031, United States
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, New York 10016, United States
| | - Kevin H Gardner
- Structural Biology Initiative, CUNY Advanced Science Research Center, New York, New York 10031, United States
- Biochemistry, Chemistry, and Biology Ph.D. Programs, Graduate Center, City University of New York, New York, New York 10016, United States
- Department of Chemistry and Biochemistry, City College of New York, New York, New York 10031, United States
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7
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Cleere MM, Gardner KH. Optogenetic control of phosphate-responsive genes using single component fusion proteins in Saccharomyces cerevisiae. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.605841. [PMID: 39131330 PMCID: PMC11312615 DOI: 10.1101/2024.08.02.605841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Blue light illumination can be detected by Light-Oxygen-Voltage (LOV) photosensing proteins and translated into a range of biochemical responses, facilitating the generation of novel optogenetic tools to control cellular function. Here, we develop new variants of our previously described VP-EL222 light-dependent transcription factor and apply them to study the phosphate-responsive signaling (PHO) pathway in the budding yeast Saccharomyces cerevisiae, exemplifying the utilities of these new tools. Focusing first on the VP-EL222 protein itself, we quantified the tunability of gene expression as a function of light intensity and duration, and demonstrated that this system can tolerate the addition of substantially larger effector domains without impacting function. We further demonstrated the utility of several EL222-driven transcriptional controllers in both plasmid and genomic settings, using the PHO5 and PHO84 promoters in their native chromosomal contexts as examples. These studies highlight the utility of light-controlled gene activation using EL222 tethered to either artificial transcription domains or yeast activator proteins (Pho4). Similarly, we demonstrate the ability to optogenetically repress gene expression with EL222 fused to the yeast Ume6 protein. We finally investigated the effects of moving EL222 recruitment sites to different locations within the PHO5 and PHO84 promoters, as well as determining how this artificial light-controlled regulation could be integrated with the native controls dependent on inorganic phosphate (Pi) availability. Taken together, our work expands the applicability of these versatile optogenetic tools in the types of functionalities they can deliver and biological questions that can be probed.
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Affiliation(s)
- Matthew M. Cleere
- Structural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, NY 10016
| | - Kevin H. Gardner
- Structural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031
- Biochemistry, Chemistry, and Biology Ph.D. Programs, Graduate Center, City University of New York, New York, NY 10016
- Department of Chemistry and Biochemistry, City College of New York, New York, NY 10031
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8
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Pedre B. A guide to genetically-encoded redox biosensors: State of the art and opportunities. Arch Biochem Biophys 2024; 758:110067. [PMID: 38908743 DOI: 10.1016/j.abb.2024.110067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
Genetically-encoded redox biosensors have become invaluable tools for monitoring cellular redox processes with high spatiotemporal resolution, coupling the presence of the redox-active analyte with a change in fluorescence signal that can be easily recorded. This review summarizes the available fluorescence recording methods and presents an in-depth classification of the redox biosensors, organized by the analytes they respond to. In addition to the fluorescent protein-based architectures, this review also describes the recent advances on fluorescent, chemigenetic-based redox biosensors and other emerging chemigenetic strategies. This review examines how these biosensors are designed, the biosensors sensing mechanism, and their practical advantages and disadvantages.
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Affiliation(s)
- Brandán Pedre
- Biochemistry, Molecular and Structural Biology Unit, Department of Chemistry, KU Leuven, Belgium.
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9
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Lu Z, Shen Q, Bandari NC, Evans S, McDonnell L, Liu L, Jin W, Luna-Flores CH, Collier T, Talbo G, McCubbin T, Esquirol L, Myers C, Trau M, Dumsday G, Speight R, Howard CB, Vickers CE, Peng B. LowTempGAL: a highly responsive low temperature-inducible GAL system in Saccharomyces cerevisiae. Nucleic Acids Res 2024; 52:7367-7383. [PMID: 38808673 PMCID: PMC11229376 DOI: 10.1093/nar/gkae460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024] Open
Abstract
Temperature is an important control factor for biologics biomanufacturing in precision fermentation. Here, we explored a highly responsive low temperature-inducible genetic system (LowTempGAL) in the model yeast Saccharomyces cerevisiae. Two temperature biosensors, a heat-inducible degron and a heat-inducible protein aggregation domain, were used to regulate the GAL activator Gal4p, rendering the leaky LowTempGAL systems. Boolean-type induction was achieved by implementing a second-layer control through low-temperature-mediated repression on GAL repressor gene GAL80, but suffered delayed response to low-temperature triggers and a weak response at 30°C. Application potentials were validated for protein and small molecule production. Proteomics analysis suggested that residual Gal80p and Gal4p insufficiency caused suboptimal induction. 'Turbo' mechanisms were engineered through incorporating a basal Gal4p expression and a galactose-independent Gal80p-supressing Gal3p mutant (Gal3Cp). Varying Gal3Cp configurations, we deployed the LowTempGAL systems capable for a rapid stringent high-level induction upon the shift from a high temperature (37-33°C) to a low temperature (≤30°C). Overall, we present a synthetic biology procedure that leverages 'leaky' biosensors to deploy highly responsive Boolean-type genetic circuits. The key lies in optimisation of the intricate layout of the multi-factor system. The LowTempGAL systems may be applicable in non-conventional yeast platforms for precision biomanufacturing.
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Affiliation(s)
- Zeyu Lu
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Qianyi Shen
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Naga Chandra Bandari
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Samuel Evans
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Liam McDonnell
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Lian Liu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- The Queensland Node of Metabolomics Australia and Proteomics Australia (Q-MAP), Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Wanli Jin
- Institute for Molecular Bioscience (IMB), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Carlos Horacio Luna-Flores
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Thomas Collier
- ARC Centre of Excellence in Synthetic Biology, Australia
- School of Natural Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Gert Talbo
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- The Queensland Node of Metabolomics Australia and Proteomics Australia (Q-MAP), Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Tim McCubbin
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Lygie Esquirol
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Environment, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT 2601, Australia
| | - Chris Myers
- Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder, CO 80309, USA
| | - Matt Trau
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences (SCMB), the University of Queensland, Brisbane, QLD 4072, Australia
| | - Geoff Dumsday
- Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Clayton, VIC, 3169, Australia
| | - Robert Speight
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
- Advanced Engineering Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, 2601, Australia
| | - Christopher B Howard
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Claudia E Vickers
- ARC Centre of Excellence in Synthetic Biology, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Bingyin Peng
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
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10
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Harmer ZP, Höhener TC, Landolt AE, Mitchell C, McClean M. Enhancing high-throughput optogenetics: Integration of LITOS with Lustro enables simultaneous light stimulation and shaking. MICROPUBLICATION BIOLOGY 2024; 2024:10.17912/micropub.biology.001073. [PMID: 38371319 PMCID: PMC10873752 DOI: 10.17912/micropub.biology.001073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/02/2024] [Accepted: 01/30/2024] [Indexed: 02/20/2024]
Abstract
Optogenetics is a powerful tool that uses light to control cellular behavior. Here we enhance high-throughput characterization of optogenetic experiments through the integration of the LED Illumination Tool for Optogenetic Stimulation (LITOS) with the previously published automated platform Lustro. Lustro enables efficient high-throughput screening and characterization of optogenetic systems. The initial iteration of Lustro used the optoPlate illumination device for light induction, with the robot periodically moving the plate over to a shaking device to resuspend cell cultures. Here, we designed a 3D-printed adaptor, rendering LITOS compatible with the BioShake 3000-T ELM used in Lustro. This novel setup allows for concurrent light stimulation and culture agitation, streamlining experiments. Our study demonstrates comparable growth rates between constant and intermittent shaking of Saccharomyces cerevisiae liquid cultures. While the light intensity of the LITOS is not as bright as the optoPlate used in the previous iteration of Lustro, the constant shaking increased the maturation rate of the mScarlet-I fluorescent reporter used. Only a marginal increase in temperature was observed when using the modified LITOS equipped with the 3D-printed adaptor. Our findings show that the integration of LITOS onto a plate shaker allows for constant culture shaking and illumination compatible with laboratory automation platforms, such as Lustro.
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Affiliation(s)
- Zachary P Harmer
- Department of Biomedical Engineering, University of Wisconsin-Madison
| | | | | | - Claire Mitchell
- Department of Biomedical Engineering, University of Wisconsin-Madison
| | - Megan McClean
- Department of Biomedical Engineering, University of Wisconsin-Madison
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11
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Benisch M, Aoki SK, Khammash M. Unlocking the potential of optogenetics in microbial applications. Curr Opin Microbiol 2024; 77:102404. [PMID: 38039932 DOI: 10.1016/j.mib.2023.102404] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/07/2023] [Accepted: 11/06/2023] [Indexed: 12/03/2023]
Abstract
Optogenetics is a powerful approach that enables researchers to use light to dynamically manipulate cellular behavior. Since the first published use of optogenetics in synthetic biology, the field has expanded rapidly, yielding a vast array of tools and applications. Despite its immense potential for achieving high spatiotemporal precision, optogenetics has predominantly been employed as a substitute for conventional chemical inducers. In this short review, we discuss key features of microbial optogenetics and highlight applications for understanding biology, cocultures, bioproduction, biomaterials, and therapeutics, in which optogenetics is more fully utilized to realize goals not previously possible by other methods.
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Affiliation(s)
- Moritz Benisch
- Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
| | - Stephanie K Aoki
- Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
| | - Mustafa Khammash
- Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
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12
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Sands C, Hedin KA, Vazquez-Uribe R, Sommer MOA. Saccharomyces boulardii promoters for control of gene expression in vivo. Microb Cell Fact 2024; 23:16. [PMID: 38185666 PMCID: PMC10771652 DOI: 10.1186/s12934-023-02288-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/26/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Interest in the use of engineered microbes to deliver therapeutic activities has increased in recent years. The probiotic yeast Saccharomyces boulardii has been investigated for production of therapeutics in the gastrointestinal tract. Well-characterised promoters are a prerequisite for robust therapeutic expression in the gut; however, S. boulardii promoters have not yet been thoroughly characterised in vitro and in vivo. RESULTS We present a thorough characterisation of the expression activities of 12 S. boulardii promoters in vitro in glucose, fructose, sucrose, inulin and acetate, under both aerobic and anaerobic conditions, as well as in the murine gastrointestinal tract. Green fluorescent protein was used to report on promoter activity. Promoter expression was found to be carbon-source dependent, with inulin emerging as a favourable carbon source. Furthermore, relative promoter expression in vivo was highly correlated with expression in sucrose (R = 0.99). CONCLUSIONS These findings provide insights into S. boulardii promoter activity and aid in promoter selection in future studies utilising S. boulardii to produce therapeutics in the gut.
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Affiliation(s)
- Carmen Sands
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
| | - Karl Alex Hedin
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
| | - Ruben Vazquez-Uribe
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.
| | - Morten Otto Alexander Sommer
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.
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13
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Gligorovski V, Rahi SJ. Construction and Characterization of Light-Responsive Transcriptional Systems. Methods Mol Biol 2024; 2844:261-275. [PMID: 39068346 DOI: 10.1007/978-1-0716-4063-0_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Optogenetic tools provide a means for controlling cellular processes that is rapid, noninvasive, and spatially and temporally precise. With the increase in available optogenetic systems, quantitative comparisons of their performances become important to guide experiments. In this chapter, we first discuss how photoreceptors can be repurposed for light-mediated control of transcription. Then, we provide a detailed protocol for characterizing light-regulated transcriptional systems in budding yeast using fluorescence time-lapse microscopy and mathematical modeling, expanding on our recent publication (Gligorovski et al., Nat Commun 14:3810, 2023).
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Affiliation(s)
- Vojislav Gligorovski
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sahand Jamal Rahi
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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14
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Wu K, Dhillon N, Bajor A, Abrahamson S, Kamakaka RT. Yeast Heterochromatin Only Stably Silences Weak Regulatory Elements by Altering Burst Duration. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.05.561072. [PMID: 37873261 PMCID: PMC10592971 DOI: 10.1101/2023.10.05.561072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The interplay between nucleosomes and transcription factors leads to programs of gene expression. Transcriptional silencing involves the generation of a chromatin state that represses transcription and is faithfully propagated through DNA replication and cell division. Using multiple reporter assays, including directly visualizing transcription in single cells, we investigated a diverse set of UAS enhancers and core promoters for their susceptibility to heterochromatic gene silencing. These results show that heterochromatin only stably silences weak and stress induced regulatory elements but is unable to stably repress housekeeping gene regulatory elements and the partial repression did not result in bistable expression states. Permutation analysis of different UAS enhancers and core promoters indicate that both elements function together to determine the susceptibility of regulatory sequences to repression. Specific histone modifiers and chromatin remodellers function in an enhancer specific manner to aid these elements to resist repression suggesting that Sir proteins likely function in part by reducing nucleosome mobility. We also show that the strong housekeeping regulatory elements can be repressed if silencer bound Sir1 is increased, suggesting that Sir1 is a limiting component in silencing. Together, our data suggest that the heterochromatic locus has been optimized to stably silence the weak mating type gene regulatory elements but not strong housekeeping gene regulatory sequences which could help explain why these genes are often found at the boundaries of silenced domains.
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Affiliation(s)
- Kenneth Wu
- Department of MCD Biology, 1156 High Street, University of California, Santa Cruz, CA 95064 USA
| | - Namrita Dhillon
- Department of MCD Biology, 1156 High Street, University of California, Santa Cruz, CA 95064 USA
| | - Antone Bajor
- Electrical Engineering Department, Baskin School of Engineering, 1156 High Street, University of California, Santa Cruz, CA 95064 USA
| | - Sara Abrahamson
- Electrical Engineering Department, Baskin School of Engineering, 1156 High Street, University of California, Santa Cruz, CA 95064 USA
| | - Rohinton T. Kamakaka
- Department of MCD Biology, 1156 High Street, University of California, Santa Cruz, CA 95064 USA
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15
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Coucke Q, Parveen N, Fernández GS, Qian C, Hofkens J, Debyser Z, Hendrix J. Particle-based phasor-FLIM-FRET resolves protein-protein interactions inside single viral particles. BIOPHYSICAL REPORTS 2023; 3:100122. [PMID: 37649577 PMCID: PMC10463199 DOI: 10.1016/j.bpr.2023.100122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/07/2023] [Indexed: 09/01/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a popular modality to create additional contrast in fluorescence images. By carefully analyzing pixel-based nanosecond lifetime patterns, FLIM allows studying complex molecular populations. At the single-molecule or single-particle level, however, image series often suffer from low signal intensities per pixel, rendering it difficult to quantitatively disentangle different lifetime species, such as during Förster resonance energy transfer (FRET) analysis in the presence of a significant donor-only fraction. In this article we investigate whether an object localization strategy and the phasor approach to FLIM have beneficial effects when carrying out FRET analyses of single particles. Using simulations, we first showed that an average of ∼300 photons, spread over the different pixels encompassing single fluorescing particles and without background, is enough to determine a correct phasor signature (SD < 5% for a 4-ns lifetime). For immobilized single- or double-labeled dsDNA molecules, we next validated that particle-based phasor-FLIM-FRET readily allows estimating fluorescence lifetimes and FRET from single molecules. Thirdly, we applied particle-based phasor-FLIM-FRET to investigate protein-protein interactions in subdiffraction HIV-1 viral particles. To do this, we first quantitatively compared the fluorescence brightness, lifetime, and photostability of different popular fluorescent protein-based FRET probes when genetically fused to the HIV-1 integrase enzyme in viral particles, and conclude that eGFP, mTurquoise2, and mScarlet perform best. Finally, for viral particles coexpressing FRET-donor/acceptor-labeled IN, we determined the absolute FRET efficiency of IN oligomers. Available in a convenient open-source graphical user interface, we believe that particle-based phasor-FLIM-FRET is a promising tool to provide detailed insights in samples suffering from low overall signal intensities.
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Affiliation(s)
- Quinten Coucke
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
| | - Nagma Parveen
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, India
| | - Guillermo Solís Fernández
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- UFIEC, National Institute of Health Carlos III, Madrid, Spain
| | - Chen Qian
- Department of Chemistry, Center for Nano Science (CENS), Center for Integrated Protein Science Munich (CIPSM), and Nanosystems Initiative Munich (NIM), Ludwig Maximilians-Universität München, Munich, Germany
| | - Johan Hofkens
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- Max Planck Institute for Polymer Research, Mainz, Germany
| | - Zeger Debyser
- Laboratory for Molecular Virology and Gene Therapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Jelle Hendrix
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- Dynamic Bioimaging Lab, Advanced Optical Microscopy Centre and Biomedical Research Institute, Hasselt University, Hasselt, Belgium
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16
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Gligorovski V, Sadeghi A, Rahi SJ. Multidimensional characterization of inducible promoters and a highly light-sensitive LOV-transcription factor. Nat Commun 2023; 14:3810. [PMID: 37369667 DOI: 10.1038/s41467-023-38959-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
The ability to independently control the expression of different genes is important for quantitative biology. Using budding yeast, we characterize GAL1pr, GALL, MET3pr, CUP1pr, PHO5pr, tetOpr, terminator-tetOpr, Z3EV, blue-light inducible optogenetic systems El222-LIP, El222-GLIP, and red-light inducible PhyB-PIF3. We report kinetic parameters, noise scaling, impact on growth, and the fundamental leakiness of each system using an intuitive unit, maxGAL1. We uncover disadvantages of widely used tools, e.g., nonmonotonic activity of MET3pr and GALL, slow off kinetics of the doxycycline- and estradiol-inducible systems tetOpr and Z3EV, and high variability of PHO5pr and red-light activated PhyB-PIF3 system. We introduce two previously uncharacterized systems: strongLOV, a more light-sensitive El222 mutant, and ARG3pr, which is induced in the absence of arginine or presence of methionine. To demonstrate fine control over gene circuits, we experimentally tune the time between cell cycle Start and mitosis, artificially simulating near-wild-type timing. All strains, constructs, code, and data ( https://promoter-benchmark.epfl.ch/ ) are made available.
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Affiliation(s)
- Vojislav Gligorovski
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ahmad Sadeghi
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sahand Jamal Rahi
- Laboratory of the Physics of Biological Systems, Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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17
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Chu B, Chen Z, Shi H, Wu X, Wang H, Dong F, He Y. Fluorescence, ultrasonic and photoacoustic imaging for analysis and diagnosis of diseases. Chem Commun (Camb) 2023; 59:2399-2412. [PMID: 36744435 DOI: 10.1039/d2cc06654h] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Biomedical imaging technology, which allows us to peer deeply within living subjects and visually explore the delivery and distribution of agents in living things, is producing tremendous opportunities for the early diagnosis and precise therapy of diseases. In this feature article, based on reviewing the latest representative examples of progress together with our recent efforts in the bioimaging field, we intend to introduce three typical kinds of non-invasive imaging technologies, i.e., fluorescence, ultrasonic and photoacoustic imaging, in which optical and/or acoustic signals are employed for analyzing various diseases. In particular, fluorescence imaging possesses a series of outstanding advantages, such as high temporal resolution, as well as rapid and sensitive feedback. Hence, in the first section, we will introduce the latest studies on developing novel fluorescence imaging methods for imaging bacterial infections, cancer and lymph node metastasis in a long-term and real-time manner. However, the issues of imaging penetration depth induced by photon scattering and light attenuation of biological tissue limit their widespread in vivo imaging applications. Taking advantage of the excellect penetration depth of acoustic signals, ultrasonic imaging has been widely applied for determining the location, size and shape of organs, identifying normal and abnormal tissues, as well as confirming the edges of lesions in hospitals. Thus, in the second section, we will briefly summarize recent advances in ultrasonic imaging techniques for diagnosing diseases in deep tissues. Nevertheless, the absence of lesion targeting and dependency on a professional technician may lead to the possibility of false-positive diagnosis. By combining the merits of both optical and acoustic signals, newly-developed photoacoustic imaging, simultaneously featuring higher temporal and spatial resolution with good sensitivity, as well as deeper penetration depth, is discussed in the third secretion. In the final part, we further discuss the major challenges and prospects for developing imaging technology for accurate disease diagnosis. We believe that these non-invasive imaging technologies will introduce a new perspective for the precise diagnosis of various diseases in the future.
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Affiliation(s)
- Binbin Chu
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.
| | - Zhiming Chen
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China.
| | - Haoliang Shi
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.
| | - Xiaofeng Wu
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China.
| | - Houyu Wang
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.
| | - Fenglin Dong
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China.
| | - Yao He
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.
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18
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Wang Z, Bartholomai BM, Loros JJ, Dunlap JC. Optimized fluorescent proteins for 4-color and photoconvertible live-cell imaging in Neurospora crassa. Fungal Genet Biol 2023; 164:103763. [PMID: 36481248 PMCID: PMC10501358 DOI: 10.1016/j.fgb.2022.103763] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
Fungal cells are quite unique among life in their organization and structure, and yet implementation of many tools recently developed for fluorescence imaging in animal systems and yeast has been slow in filamentous fungi. Here we present analysis of properties of fluorescent proteins in Neurospora crassa as well as describing genetic tools for the expression of these proteins that may be useful beyond cell biology applications. The brightness and photostability of ten different fluorescent protein tags were compared in a well-controlled system; six different promoters are described for the assessment of the fluorescent proteins and varying levels of expression, as well as a customizable bidirectional promoter system. We present an array of fluorescent proteins suitable for use across the visible light spectrum to allow for 4-color imaging, in addition to a photoconvertible fluorescent protein that enables a change in the color of a small subset of proteins in the cell. These tools build on the rich history of cell biology research in filamentous fungi and provide new tools to help expand research capabilities.
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Affiliation(s)
- Ziyan Wang
- Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover, NH, USA
| | - Bradley M Bartholomai
- Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover, NH, USA
| | - Jennifer J Loros
- Geisel School of Medicine at Dartmouth, Department of Biochemistry and Cell Biology, Hanover, NH, USA
| | - Jay C Dunlap
- Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover, NH, USA.
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