1
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Waechtler BE, Jayasankar R, Morin EP, Robinson DN. Benefits and challenges of reconstituting the actin cortex. Cytoskeleton (Hoboken) 2024; 81:843-863. [PMID: 38520148 PMCID: PMC11417134 DOI: 10.1002/cm.21855] [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: 02/21/2024] [Accepted: 03/05/2024] [Indexed: 03/25/2024]
Abstract
The cell's ability to change shape is a central feature in many cellular processes, including cytokinesis, motility, migration, and tissue formation. The cell constructs a network of contractile proteins underneath the cell membrane to form the cortex, and the reorganization of these components directly contributes to cellular shape changes. The desire to mimic these cell shape changes to aid in the creation of a synthetic cell has been increasing. Therefore, membrane-based reconstitution experiments have flourished, furthering our understanding of the minimal components the cell uses throughout these processes. Although biochemical approaches increased our understanding of actin, myosin II, and actin-associated proteins, using membrane-based reconstituted systems has further expanded our understanding of actin structures and functions because membrane-cortex interactions can be analyzed. In this review, we highlight the recent developments in membrane-based reconstitution techniques. We examine the current findings on the minimal components needed to recapitulate distinct actin structures and functions and how they relate to the cortex's impact on cellular mechanical properties. We also explore how co-processing of computational models with wet-lab experiments enhances our understanding of these properties. Finally, we emphasize the benefits and challenges inherent to membrane-based, reconstitution assays, ranging from the advantage of precise control over the system to the difficulty of integrating these findings into the complex cellular environment.
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Affiliation(s)
- Brooke E. Waechtler
- Department of Cell Biology, Johns Hopkins University, School of Medicine, 725 N Wolfe Street, Baltimore, MD 21205
| | - Rajan Jayasankar
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Whiting School of Engineering, 725 N Wolfe Street, Baltimore, MD 21205
| | - Emma P. Morin
- Department of Cell Biology, Johns Hopkins University, School of Medicine, 725 N Wolfe Street, Baltimore, MD 21205
| | - Douglas N. Robinson
- Department of Cell Biology, Johns Hopkins University, School of Medicine, 725 N Wolfe Street, Baltimore, MD 21205
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Whiting School of Engineering, 725 N Wolfe Street, Baltimore, MD 21205
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University, School of Medicine, 725 N Wolfe Street, Baltimore, MD 21205
- Department of Medicine, Johns Hopkins University, School of Medicine, 725 N Wolfe Street, Baltimore, MD 21205
- Department of Oncology, Johns Hopkins University, School of Medicine, 725 N Wolfe Street, Baltimore, MD 21205
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2
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Dolgitzer D, Plaza-Rodríguez AI, Iglesias MA, Jacob MAC, Todd BA, Robinson DN, Iglesias PA. A continuum model of mechanosensation based on contractility kit assembly. Biophys J 2024:S0006-3495(24)00708-2. [PMID: 39521955 DOI: 10.1016/j.bpj.2024.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 10/07/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024] Open
Abstract
The ability of cells to sense and respond to mechanical forces is crucial for navigating their environment and interacting with neighboring cells. Myosin II and cortexillin I form complexes known as contractility kits (CKs) in the cytosol, which facilitate a cytoskeletal response by accumulating locally at the site of inflicted stress. Here, we present a computational model for mechanoresponsiveness in Dictyostelium, analyzing the role of CKs within the mechanoresponsive mechanism grounded in experimentally measured parameters. Our model further elaborates on the established distributions and channeling of contractile proteins before and after mechanical force application. We rigorously validate our computational findings by comparing the responses of wild-type cells, null mutants, overexpression mutants, and cells deficient in CK formation to mechanical stresses. Parallel in vivo experiments measuring myosin II cortical distributions at equilibrium provide additional validation. Our results highlight the essential functions of CKs in cellular mechanosensitivity and suggest new insights into the regulatory dynamics of mechanoresponsiveness.
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Affiliation(s)
- David Dolgitzer
- Department of Physics and Astronomy, The Johns Hopkins University, Baltimore, Maryland.
| | - Alma I Plaza-Rodríguez
- Oncology-Quantitative Sciences Department, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Miguel A Iglesias
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey
| | - Mark Allan C Jacob
- Department of Cell Biology, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Bethany A Todd
- Department of Cell Biology, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Douglas N Robinson
- Department of Cell Biology, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Pablo A Iglesias
- Department of Cell Biology, The Johns Hopkins School of Medicine, Baltimore, Maryland; Department of Electrical and Computer Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, Maryland.
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3
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Kuhn J, Banerjee P, Haye A, Robinson DN, Iglesias PA, Devreotes PN. Complementary Cytoskeletal Feedback Loops Control Signal Transduction Excitability and Cell Polarity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.580131. [PMID: 38405988 PMCID: PMC10888828 DOI: 10.1101/2024.02.13.580131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
To move through complex environments, cells must constantly integrate chemical and mechanical cues. Signaling networks, such as those comprising Ras and PI3K, transmit chemical cues to the cytoskeleton, but the cytoskeleton must also relay mechanical information back to those signaling systems. Using novel synthetic tools to acutely control specific elements of the cytoskeleton in Dictyostelium and neutrophils, we delineate feedback mechanisms that alter the signaling network and promote front- or back-states of the cell membrane and cortex. First, increasing branched actin assembly increases Ras/PI3K activation while reducing polymeric actin levels overall decreases activation. Second, reducing myosin II assembly immediately increases Ras/PI3K activation and sensitivity to chemotactic stimuli. Third, inhibiting branched actin alone increases cortical actin assembly and strongly blocks Ras/PI3K activation. This effect is mitigated by reducing filamentous actin levels and in cells lacking myosin II. Finally, increasing actin crosslinking with a controllable activator of cytoskeletal regulator RacE leads to a large decrease in Ras activation both globally and locally. Curiously, RacE activation can trigger cell spreading and protrusion with no detectable activation of branched actin nucleators. Taken together with legacy data that Ras/PI3K promotes branched actin assembly and myosin II disassembly, our results define front- and back-promoting positive feedback loops. We propose that these loops play a crucial role in establishing cell polarity and mediating signal integration by controlling the excitable state of the signal transduction networks in respective regions of the membrane and cortex. This interplay enables cells to navigate intricate topologies like tissues containing other cells, the extracellular matrix, and fluids.
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Affiliation(s)
- Jonathan Kuhn
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Parijat Banerjee
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD
| | - Andrew Haye
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD
| | | | - Pablo A. Iglesias
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD
| | - Peter N. Devreotes
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD
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4
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Nguyen JMK, Liu Y, Nguyen L, Sidhaye VK, Robinson DN. Discovery and Quantitative Dissection of Cytokinesis Mechanisms Using Dictyostelium discoideum. Methods Mol Biol 2024; 2814:1-27. [PMID: 38954194 DOI: 10.1007/978-1-0716-3894-1_1] [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: 07/04/2024]
Abstract
The social amoeba Dictyostelium discoideum is a versatile model for understanding many different cellular processes involving cell motility including chemotaxis, phagocytosis, and cytokinesis. Cytokinesis, in particular, is a model cell-shaped change process in which a cell separates into two daughter cells. D. discoideum has been used extensively to identify players in cytokinesis and understand how they comprise the mechanosensory and biochemical pathways of cytokinesis. In this chapter, we describe how we use cDNA library complementation with D. discoideum to discover potential regulators of cytokinesis. Once identified, these regulators are further analyzed through live cell imaging, immunofluorescence imaging, fluorescence correlation and cross-correlation spectroscopy, micropipette aspiration, and fluorescence recovery after photobleaching. Collectively, these methods aid in detailing the mechanisms and signaling pathways that comprise cell division.
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Affiliation(s)
- Jennifer M K Nguyen
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pharmacology of Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yinan Liu
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pharmacology of Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ly Nguyen
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Douglas N Robinson
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
- Department of Pharmacology of Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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5
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Rijal R, Gomer RH. Proteomic Analysis of Dictyostelium discoideum by Mass Spectrometry. Methods Mol Biol 2024; 2814:247-255. [PMID: 38954210 PMCID: PMC11414281 DOI: 10.1007/978-1-0716-3894-1_17] [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: 07/04/2024]
Abstract
The large-scale proteomic analysis of Dictyostelium discoideum has contributed to our understanding of intracellular as well as secreted proteins in this versatile model eukaryote. Mass spectrometry-based proteomic analysis is a robust, sensitive, and rapid analytical method for identification and characterization of proteins extracted from tissues, cells, cell fractions, or pull-down assays. The availability of core facilities which make proteomics inexpensive and easy to do has facilitated a wide range of research projects. In this chapter, we present a simple standard methodology to extract proteins and prepare samples from D. discoideum for mass spectrometry and methods to analyze the identified proteins.
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Affiliation(s)
- Ramesh Rijal
- Department of Biology, Texas A&M University, College Station, TX, USA
| | - Richard H Gomer
- Department of Biology, Texas A&M University, College Station, TX, USA.
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6
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Balaban AE, Nguyen LTS, Parajón E, Robinson DN. Nonmuscle myosin IIB is a driver of cellular reprogramming. Mol Biol Cell 2023; 34:ar71. [PMID: 37074945 PMCID: PMC10295488 DOI: 10.1091/mbc.e21-08-0386] [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: 08/09/2021] [Revised: 03/27/2023] [Accepted: 04/10/2023] [Indexed: 04/20/2023] Open
Abstract
Nonmuscle myosin IIB (NMIIB) is considered a primary force generator during cell motility. Yet many cell types, including motile cells, do not necessarily express NMIIB. Given the potential of cell engineering for the next wave of technologies, adding back NMIIB could be a strategy for creating supercells with strategically altered cell morphology and motility. However, we wondered what unforeseen consequences could arise from such an approach. Here, we leveraged pancreatic cancer cells, which do not express NMIIB. We generated a series of cells where we added back NMIIB and strategic mutants that increase the ADP-bound time or alter the phosphorylation control of bipolar filament assembly. We characterized the cellular phenotypes and conducted RNA-seq analysis. The addition of NMIIB and the different mutants all have specific consequences for cell morphology, metabolism, cortical tension, mechanoresponsiveness, and gene expression. Major modes of ATP production are shifted, including alterations in spare respiratory capacity and the dependence on glycolysis or oxidative phosphorylation. Several metabolic and growth pathways undergo significant changes in gene expression. This work demonstrates that NMIIB is highly integrated with many cellular systems and simple cell engineering has a profound impact that extends beyond the primary contractile activity presumably being added to the cells.
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Affiliation(s)
- Amanda E. Balaban
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Ly T. S. Nguyen
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Eleana Parajón
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Douglas N. Robinson
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Departments of Pharmacology and Molecular Sciences, Medicine, and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218
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7
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Vitriol EA, Quintanilla MA, Tidei JJ, Troughton LD, Cody A, Cisterna BA, Jane ML, Oakes PW, Beach JR. Non-muscle myosin 2 filaments are processive in cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.24.529920. [PMID: 36865321 PMCID: PMC9980172 DOI: 10.1101/2023.02.24.529920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
Directed transport of cellular components is often dependent on the processive movements of cytoskeletal motors. Myosin 2 motors predominantly engage actin filaments of opposing orientation to drive contractile events, and are therefore not traditionally viewed as processive. However, recent in vitro experiments with purified non-muscle myosin 2 (NM2) demonstrated myosin 2 filaments could move processively. Here, we establish processivity as a cellular property of NM2. Processive runs in central nervous system-derived CAD cells are most apparent as processive movements on bundled actin in protrusions that terminate at the leading edge. We find that processive velocities in vivo are consistent with in vitro measurements. NM2 makes these processive runs in its filamentous form against lamellipodia retrograde flow, though anterograde movement can still occur in the absence of actin dynamics. Comparing the processivity of NM2 isoforms, we find that NM2A moves slightly faster than NM2B. Finally, we demonstrate that this is not a cell-specific property, as we observe processive-like movements of NM2 in the lamella and subnuclear stress fibers of fibroblasts. Collectively, these observations further broaden NM2 functionality and the biological processes in which the already ubiquitous motor can contribute.
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Affiliation(s)
- Eric A Vitriol
- Department of Neuroscience and Regenerative Medicine, Augusta University, Augusta, GA
| | - Melissa A Quintanilla
- Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Joseph J Tidei
- Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Lee D Troughton
- Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Abigail Cody
- Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Bruno A Cisterna
- Department of Neuroscience and Regenerative Medicine, Augusta University, Augusta, GA
| | - Makenzie L Jane
- Department of Neuroscience and Regenerative Medicine, Augusta University, Augusta, GA
| | - Patrick W Oakes
- Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Jordan R Beach
- Department of Cell and Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
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8
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Nguyen LTS, Robinson DN. The lectin Discoidin I acts in the cytoplasm to help assemble the contractile machinery. J Cell Biol 2022; 221:213504. [PMID: 36165849 PMCID: PMC9523886 DOI: 10.1083/jcb.202202063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/11/2022] [Accepted: 08/09/2022] [Indexed: 11/22/2022] Open
Abstract
Cellular functions, such as division and migration, require cells to undergo robust shape changes. Through their contractility machinery, cells also sense, respond, and adapt to their physical surroundings. In the cytoplasm, the contractility machinery organizes into higher order assemblies termed contractility kits (CKs). Using Dictyostelium discoideum, we previously identified Discoidin I (DscI), a classic secreted lectin, as a CK component through its physical interactions with the actin crosslinker Cortexillin I (CortI) and the scaffolding protein IQGAP2. Here, we find that DscI ensures robust cytokinesis through regulating intracellular components of the contractile machinery. Specifically, DscI is necessary for normal cytokinesis, cortical tension, membrane-cortex connections, and cortical distribution and mechanoresponsiveness of CortI. The dscI deletion mutants also have complex genetic epistatic relationships with CK components, acting as a genetic suppressor of cortI and iqgap1, but as an enhancer of iqgap2. This work underscores the fact that proteins like DiscI contribute in diverse ways to the activities necessary for optimal cell function.
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Affiliation(s)
- Ly T S Nguyen
- Department of Cell Biology, School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Douglas N Robinson
- Department of Cell Biology, School of Medicine, Johns Hopkins University, Baltimore, MD
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9
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Pan Y, Wu X, Cai W, Cheng A, Wang M, Chen S, Huang J, Yang Q, Wu Y, Sun D, Mao S, Zhu D, Liu M, Zhao X, Zhang S, Gao Q, Ou X, Tian B, Yin Z, Jia R. RNA-Seq analysis of duck embryo fibroblast cells gene expression during duck Tembusu virus infection. Vet Res 2022; 53:34. [PMID: 35585616 PMCID: PMC9116716 DOI: 10.1186/s13567-022-01051-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/03/2022] [Indexed: 12/11/2022] Open
Abstract
Duck Tembusu virus (DTMUV), a member of the family Flaviviridae and an economically important pathogen with a broad host range, leads to markedly decreased egg production. However, the molecular mechanism underlying the host-DTMUV interaction remains unclear. Here, we performed high-throughput RNA sequencing (RNA-Seq) to study the dynamic changes in host gene expression at 12, 24, 36, 48 and 60 h post-infection (hpi) in duck embryo fibroblasts (DEF) infected with DTMUV. A total of 3129 differentially expressed genes (DEG) were identified after DTMUV infection. Gene Ontology (GO) category and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that these DEG were associated with multiple biological functions, including signal transduction, host immunity, virus infection, cell apoptosis, cell proliferation, and pathogenicity-related and metabolic process signaling pathways. This study analyzed viral infection and host immunity induced by DTMUV infection from a novel perspective, and the results provide valuable information regarding the mechanisms underlying host-DTMUV interactions, which will prove useful for the future development of antiviral drugs or vaccines for poultry, thus benefiting the entire poultry industry.
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Affiliation(s)
- Yuhong Pan
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Xuedong Wu
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Wenjun Cai
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Anchun Cheng
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. .,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. .,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China.
| | - Mingshu Wang
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Shun Chen
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Juan Huang
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Qiao Yang
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Ying Wu
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Di Sun
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Sai Mao
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Dekang Zhu
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Mafeng Liu
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Xinxin Zhao
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Shaqiu Zhang
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Qun Gao
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Xumin Ou
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Bin Tian
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Zhongqiong Yin
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China
| | - Renyong Jia
- Research Center of Avian Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. .,Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. .,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu, 611130, Sichuan, China.
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10
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Dynamics of Myosin II Filaments during Wound Repair in Dividing Cells. Cells 2021; 10:cells10051229. [PMID: 34067877 PMCID: PMC8156316 DOI: 10.3390/cells10051229] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/14/2021] [Accepted: 05/15/2021] [Indexed: 12/16/2022] Open
Abstract
Wound repair of cell membranes is essential for cell survival. Myosin II contributes to wound pore closure by interacting with actin filaments in larger cells; however, its role in smaller cells is unclear. In this study, we observed wound repair in dividing cells for the first time. The cell membrane in the cleavage furrow, where myosin II localized, was wounded by laserporation. Upon wounding, actin transiently accumulated, and myosin II transiently disappeared from the wound site. Ca2+ influx from the external medium triggered both actin and myosin II dynamics. Inhibition of calmodulin reduced both actin and myosin II dynamics. The wound closure time in myosin II-null cells was the same as that in wild-type cells, suggesting that myosin II is not essential for wound repair. We also found that disassembly of myosin II filaments by phosphorylation did not contribute to their disappearance, indicating a novel mechanism for myosin II delocalization from the cortex. Furthermore, we observed that several furrow-localizing proteins such as GAPA, PakA, myosin heavy chain kinase C, PTEN, and dynamin disappeared upon wounding. Herein, we discuss the possible mechanisms of myosin dynamics during wound repair.
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11
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Parajón E, Surcel A, Robinson DN. The mechanobiome: a goldmine for cancer therapeutics. Am J Physiol Cell Physiol 2020; 320:C306-C323. [PMID: 33175572 DOI: 10.1152/ajpcell.00409.2020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Cancer progression is dependent on heightened mechanical adaptation, both for the cells' ability to change shape and to interact with varying mechanical environments. This type of adaptation is dependent on mechanoresponsive proteins that sense and respond to mechanical stress, as well as their regulators. Mechanoresponsive proteins are part of the mechanobiome, which is the larger network that constitutes the cell's mechanical systems that are also highly integrated with many other cellular systems, such as gene expression, metabolism, and signaling. Despite the altered expression patterns of key mechanobiome proteins across many different cancer types, pharmaceutical targeting of these proteins has been overlooked. Here, we review the biochemistry of key mechanoresponsive proteins, specifically nonmuscle myosin II, α-actinins, and filamins, as well as the partnering proteins 14-3-3 and CLP36. We also examined a wide range of data sets to assess how gene and protein expression levels of these proteins are altered across many different cancer types. Finally, we determined the potential of targeting these proteins to mitigate invasion or metastasis and suggest that the mechanobiome is a goldmine of opportunity for anticancer drug discovery and development.
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Affiliation(s)
- Eleana Parajón
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Alexandra Surcel
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Douglas N Robinson
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Chemical and Biomolecular Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Nguyen LTS, Robinson DN. The Unusual Suspects in Cytokinesis: Fitting the Pieces Together. Front Cell Dev Biol 2020; 8:441. [PMID: 32626704 PMCID: PMC7314909 DOI: 10.3389/fcell.2020.00441] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 05/11/2020] [Indexed: 01/24/2023] Open
Abstract
Cytokinesis is the step of the cell cycle in which the cell must faithfully separate the chromosomes and cytoplasm, yielding two daughter cells. The assembly and contraction of the contractile network is spatially and temporally coupled with the formation of the mitotic spindle to ensure the successful completion of cytokinesis. While decades of studies have elucidated the components of this machinery, the so-called usual suspects, and their functions, many lines of evidence are pointing to other unexpected proteins and sub-cellular systems as also being involved in cytokinesis. These we term the unusual suspects. In this review, we introduce recent discoveries on some of these new unusual suspects and begin to consider how these subcellular systems snap together to help complete the puzzle of cytokinesis.
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Affiliation(s)
- Ly T. S. Nguyen
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Douglas N. Robinson
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, United States
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Kothari P, Johnson C, Sandone C, Iglesias PA, Robinson DN. How the mechanobiome drives cell behavior, viewed through the lens of control theory. J Cell Sci 2019; 132:jcs234476. [PMID: 31477578 PMCID: PMC6771144 DOI: 10.1242/jcs.234476] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Cells have evolved sophisticated systems that integrate internal and external inputs to coordinate cell shape changes during processes, such as development, cell identity determination, and cell and tissue homeostasis. Cellular shape-change events are driven by the mechanobiome, the network of macromolecules that allows cells to generate, sense and respond to externally imposed and internally generated forces. Together, these components build the cellular contractility network, which is governed by a control system. Proteins, such as non-muscle myosin II, function as both sensors and actuators, which then link to scaffolding proteins, transcription factors and metabolic proteins to create feedback loops that generate the foundational mechanical properties of the cell and modulate cellular behaviors. In this Review, we highlight proteins that establish and maintain the setpoint, or baseline, for the control system and explore the feedback loops that integrate different cellular processes with cell mechanics. Uncovering the genetic, biophysical and biochemical interactions between these molecular components allows us to apply concepts from control theory to provide a systems-level understanding of cellular processes. Importantly, the actomyosin network has emerged as more than simply a 'downstream' effector of linear signaling pathways. Instead, it is also a significant driver of cellular processes traditionally considered to be 'upstream'.
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Affiliation(s)
- Priyanka Kothari
- Departments of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Cecilia Johnson
- Art as Applied to Medicine, Johns Hopkins University School of Medicine, Baltimore, M 21205, USA
| | - Corinne Sandone
- Art as Applied to Medicine, Johns Hopkins University School of Medicine, Baltimore, M 21205, USA
| | - Pablo A Iglesias
- Departments of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Douglas N Robinson
- Departments of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
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First person – Priyanka Kothari. J Cell Sci 2019. [DOI: 10.1242/jcs.229195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
ABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Priyanka Kothari is first author on ‘Contractility kits promote assembly of the mechanoresponsive cytoskeletal network’, published in JCS. Priyanka is a PhD student in the lab of Douglas Robinson at Johns Hopkins University School of Medicine, Baltimore, USA, investigating the mechanisms by which cells sense and respond to mechanical forces.
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