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Hayward-Lara G, Fischer MD, Mir M. Dynamic microenvironments shape nuclear organization and gene expression. Curr Opin Genet Dev 2024; 86:102177. [PMID: 38461773 PMCID: PMC11162947 DOI: 10.1016/j.gde.2024.102177] [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: 12/05/2023] [Revised: 02/11/2024] [Accepted: 02/14/2024] [Indexed: 03/12/2024]
Abstract
Live imaging has revealed that the regulation of gene expression is largely driven by transient interactions. For example, many regulatory proteins bind chromatin for just seconds, and loop-like genomic contacts are rare and last only minutes. These discoveries have been difficult to reconcile with our canonical models that are predicated on stable and hierarchical interactions. Proteomic microenvironments that concentrate nuclear factors may explain how brief interactions can still mediate gene regulation by creating conditions where reactions occur more frequently. Here, we summarize new imaging technologies and recent discoveries implicating microenvironments as a potential driver of nuclear function. Finally, we propose that key properties of proteomic microenvironments, such as their size, enrichment, and lifetimes, are directly linked to regulatory function.
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Affiliation(s)
- Gabriela Hayward-Lara
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA 19104
- Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia. Philadelphia, PA 19104
- Developmental, Stem Cell, and Regenerative Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA 19104
| | - Matthew D. Fischer
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA 19104
- Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia. Philadelphia, PA 19104
| | - Mustafa Mir
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA 19104
- Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia. Philadelphia, PA 19104
- Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania. Philadelphia, PA 19104
- Howard Hughes Medical Institute, Children’s Hospital of Philadelphia. Philadelphia, PA 19104
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Andrews SS, Wiley HS, Sauro HM. Design patterns of biological cells. Bioessays 2024; 46:e2300188. [PMID: 38247191 PMCID: PMC10922931 DOI: 10.1002/bies.202300188] [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: 09/30/2023] [Revised: 12/03/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024]
Abstract
Design patterns are generalized solutions to frequently recurring problems. They were initially developed by architects and computer scientists to create a higher level of abstraction for their designs. Here, we extend these concepts to cell biology to lend a new perspective on the evolved designs of cells' underlying reaction networks. We present a catalog of 21 design patterns divided into three categories: creational patterns describe processes that build the cell, structural patterns describe the layouts of reaction networks, and behavioral patterns describe reaction network function. Applying this pattern language to the E. coli central metabolic reaction network, the yeast pheromone response signaling network, and other examples lends new insights into these systems.
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Affiliation(s)
- Steven S. Andrews
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - H. Steven Wiley
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Herbert M. Sauro
- Department of Bioengineering, University of Washington, Seattle, WA, USA
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Fischer MD, Graham P, Pick L. The ftz upstream element drives late ftz stripes but is not required for regulation of Ftz target genes. Dev Biol 2024; 505:141-147. [PMID: 37977522 PMCID: PMC10843599 DOI: 10.1016/j.ydbio.2023.11.004] [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: 10/10/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
The regulation of gene expression in precise, rapidly changing spatial patterns is essential for embryonic development. Multiple enhancers have been identified for the evolving expression patterns of the cascade of Drosophila segmentation genes that establish the basic body plan of the fly. Classic reporter transgene experiments identified multiple cis-regulatory elements (CREs) that are sufficient to direct various aspects of the evolving expression pattern of the pair-rule gene fushi tarazu (ftz). These include enhancers that coordinately activate expression in all seven stripes and stripe-specific elements that activate expression in one or more ftz stripes. Of the two 7-stripe enhancers, analysis of reporter transgenes demonstrated that the upstream element (UPS) is autoregulatory, requiring direct binding of Ftz protein to direct striped expression. Here, we asked about the endogenous role of the UPS by precisely deleting this 7-stripe enhancer. In ftzΔUPS7S homozygotes, ftz stripes appear in the same order as wildtype, and all but stripe 4 are expressed at wildtype levels by the end of the cellular blastoderm stage. This suggests that the zebra element and UPS harbor information to direct stripe 4 expression, although previous deletion analyses failed to identify a stripe-specific CRE within these two 7-stripe enhancers. However, the UPS is necessary for late ftz stripe expression, with all 7 stripes decaying earlier than wildtype in ftzΔUPS7S homozygotes. Despite this premature loss of ftz expression, downstream target gene regulation proceeds as in wildtype, and segmentation is unperturbed in the overwhelming majority of animals. We propose that this late-acting enhancer provides a buffer against perturbations in gene expression but is not required for establishment of Ftz cell fates. Overall, our results demonstrate that multiple enhancers, each directing distinct aspects of an overall gene expression pattern, contribute to fine-tuning the complex patterns necessary for embryonic development.
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Affiliation(s)
- Matthew D Fischer
- Department of Pathology and Laboratory Medicine, 3501 Civic Center Boulevard, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Patricia Graham
- Department of Entomology, 4291 Fieldhouse Drive, University of Maryland, College Park, MD, 20742, USA
| | - Leslie Pick
- Department of Entomology, 4291 Fieldhouse Drive, University of Maryland, College Park, MD, 20742, USA.
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Westbrook ER, Ford HZ, Antolović V, Chubb JR. Clearing the slate: RNA turnover to enable cell state switching? Development 2023; 150:dev202084. [PMID: 37831057 PMCID: PMC10617622 DOI: 10.1242/dev.202084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
The distribution of mRNA in tissue is determined by the balance between transcription and decay. Understanding the control of RNA decay during development has been somewhat neglected compared with transcriptional control. Here, we explore the potential for mRNA decay to trigger rapid cell state transitions during development, comparing a bistable switch model of cell state conversion with experimental evidence from different developmental systems. We also consider another potential role for large-scale RNA decay that has emerged from studies of stress-induced cell state transitions, in which removal of mRNA unblocks the translation machinery to prioritise the synthesis of proteins that establish the new cell state.
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Affiliation(s)
- Elizabeth R. Westbrook
- UCL Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK
| | - Hugh Z. Ford
- UCL Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK
| | - Vlatka Antolović
- UCL Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK
| | - Jonathan R. Chubb
- UCL Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK
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Bocci F, Jia D, Nie Q, Jolly MK, Onuchic J. Theoretical and computational tools to model multistable gene regulatory networks. REPORTS ON PROGRESS IN PHYSICS. PHYSICAL SOCIETY (GREAT BRITAIN) 2023; 86:10.1088/1361-6633/acec88. [PMID: 37531952 PMCID: PMC10521208 DOI: 10.1088/1361-6633/acec88] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 08/02/2023] [Indexed: 08/04/2023]
Abstract
The last decade has witnessed a surge of theoretical and computational models to describe the dynamics of complex gene regulatory networks, and how these interactions can give rise to multistable and heterogeneous cell populations. As the use of theoretical modeling to describe genetic and biochemical circuits becomes more widespread, theoreticians with mathematical and physical backgrounds routinely apply concepts from statistical physics, non-linear dynamics, and network theory to biological systems. This review aims at providing a clear overview of the most important methodologies applied in the field while highlighting current and future challenges. It also includes hands-on tutorials to solve and simulate some of the archetypical biological system models used in the field. Furthermore, we provide concrete examples from the existing literature for theoreticians that wish to explore this fast-developing field. Whenever possible, we highlight the similarities and differences between biochemical and regulatory networks and 'classical' systems typically studied in non-equilibrium statistical and quantum mechanics.
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Affiliation(s)
- Federico Bocci
- The NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA 92697, USA
- Department of Mathematics, University of California, Irvine, CA 92697, USA
| | - Dongya Jia
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
| | - Qing Nie
- The NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA 92697, USA
- Department of Mathematics, University of California, Irvine, CA 92697, USA
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India
| | - José Onuchic
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
- Department of Physics and Astronomy, Rice University, Houston, TX 77005, USA
- Department of Chemistry, Rice University, Houston, TX 77005, USA
- Department of Biosciences, Rice University, Houston, TX 77005, USA
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