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Xu H, Huo Y, Zhou Q, Wang LA, Cai P, Doss B, Huang C, Hsia KJ. Geometry-mediated bridging drives nonadhesive stripe wound healing. Proc Natl Acad Sci U S A 2023; 120:e2221040120. [PMID: 37098071 PMCID: PMC10161107 DOI: 10.1073/pnas.2221040120] [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: 12/14/2022] [Accepted: 03/14/2023] [Indexed: 04/26/2023] Open
Abstract
Wound healing through reepithelialization of gaps is of profound importance to the medical community. One critical mechanism identified by researchers for closing non-cell-adhesive gaps is the accumulation of actin cables around concave edges and the resulting purse-string constriction. However, the studies to date have not separated the gap-edge curvature effect from the gap size effect. Here, we fabricate micropatterned hydrogel substrates with long, straight, and wavy non-cell-adhesive stripes of different gap widths to investigate the stripe edge curvature and stripe width effects on the reepithelialization of Madin-Darby canine kidney (MDCK) cells. Our results show that MDCK cell reepithelization is closely regulated by the gap geometry and may occur through different pathways. In addition to purse-string contraction, we identify gap bridging either via cell protrusion or by lamellipodium extension as critical cellular and molecular mechanisms for wavy gap closure. Cell migration in the direction perpendicular to wound front, sufficiently small gap size to allow bridging, and sufficiently high negative curvature at cell bridges for actin cable constriction are necessary/sufficient conditions for gap closure. Our experiments demonstrate that straight stripes rarely induce cell migration perpendicular to wound front, but wavy stripes do; cell protrusion and lamellipodia extension can help establish bridges over gaps of about five times the cell size, but not significantly beyond. Such discoveries deepen our understanding of mechanobiology of cell responses to curvature and help guide development of biophysical strategies for tissue repair, plastic surgery, and better wound management.
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Affiliation(s)
- Hongmei Xu
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
| | - Yucheng Huo
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
| | - Quan Zhou
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
| | - Lianghao Abraham Wang
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
| | - Pingqiang Cai
- Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing211166, PR China
| | - Bryant Doss
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
| | - Changjin Huang
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
| | - K. Jimmy Hsia
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore639798, Singapore
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore639798, Singapore
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2
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Putra VDL, Kilian KA, Knothe Tate ML. Biomechanical, biophysical and biochemical modulators of cytoskeletal remodelling and emergent stem cell lineage commitment. Commun Biol 2023; 6:75. [PMID: 36658332 PMCID: PMC9852586 DOI: 10.1038/s42003-022-04320-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 11/30/2022] [Indexed: 01/20/2023] Open
Abstract
Across complex, multi-time and -length scale biological systems, redundancy confers robustness and resilience, enabling adaptation and increasing survival under dynamic environmental conditions; this review addresses ubiquitous effects of cytoskeletal remodelling, triggered by biomechanical, biophysical and biochemical cues, on stem cell mechanoadaptation and emergent lineage commitment. The cytoskeleton provides an adaptive structural scaffold to the cell, regulating the emergence of stem cell structure-function relationships during tissue neogenesis, both in prenatal development as well as postnatal healing. Identification and mapping of the mechanical cues conducive to cytoskeletal remodelling and cell adaptation may help to establish environmental contexts that can be used prospectively as translational design specifications to target tissue neogenesis for regenerative medicine. In this review, we summarize findings on cytoskeletal remodelling in the context of tissue neogenesis during early development and postnatal healing, and its relevance in guiding lineage commitment for targeted tissue regeneration. We highlight how cytoskeleton-targeting chemical agents modulate stem cell differentiation and govern responses to mechanical cues in stem cells' emerging form and function. We further review methods for spatiotemporal visualization and measurement of cytoskeletal remodelling, as well as its effects on the mechanical properties of cells, as a function of adaptation. Research in these areas may facilitate translation of stem cells' own healing potential and improve the design of materials, therapies, and devices for regenerative medicine.
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Affiliation(s)
- Vina D L Putra
- School of Chemistry and School of Materials Science & Engineering, University of New South Wales, Sydney, NSW, Australia
| | - Kristopher A Kilian
- School of Chemistry and School of Materials Science & Engineering, University of New South Wales, Sydney, NSW, Australia.
| | - Melissa L Knothe Tate
- Blue Mountains World Interdisciplinary Innovation Institute (bmwi³), Blue Mountains, NSW, Australia.
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3
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Emam M, Caballero-Solares A, Xue X, Umasuthan N, Milligan B, Taylor RG, Balder R, Rise ML. Gill and Liver Transcript Expression Changes Associated With Gill Damage in Atlantic Salmon ( Salmo salar). Front Immunol 2022; 13:806484. [PMID: 35418993 PMCID: PMC8996064 DOI: 10.3389/fimmu.2022.806484] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 01/31/2022] [Indexed: 12/24/2022] Open
Abstract
Gill damage represents a significant challenge in the teleost fish aquaculture industry globally, due to the gill’s involvement in several vital functions and direct contact with the surrounding environment. To examine the local and systemic effects accompanying gill damage (which is likely to negatively affect gill function) of Atlantic salmon, we performed a field sampling to collect gill and liver tissue after several environmental insults (e.g., harmful algal blooms). Before sampling, gills were visually inspected and gill damage was scored; gill scores were assigned from pristine [gill score 0 (GS0)] to severely damaged gills (GS3). Using a 44K salmonid microarray platform, we aimed to compare the transcriptomes of pristine and moderately damaged (i.e., GS2) gill tissue. Rank Products analysis (5% percentage of false-positives) identified 254 and 34 upregulated and downregulated probes, respectively, in GS2 compared with GS0. Differentially expressed probes represented genes associated with functions including gill remodeling, wound healing, and stress and immune responses. We performed gill and liver qPCR for all four gill damage scores using microarray-identified and other damage-associated biomarker genes. Transcripts related to wound healing (e.g., neb and klhl41b) were significantly upregulated in GS2 compared with GS0 in the gills. Also, transcripts associated with immune and stress-relevant pathways were dysregulated (e.g., downregulation of snaclec 1-like and upregulation of igkv3) in GS2 compared with GS0 gills. The livers of salmon with moderate gill damage (i.e., GS2) showed significant upregulation of transcripts related to wound healing (i.e., chtop), apoptosis (e.g., bnip3l), blood coagulation (e.g., f2 and serpind1b), transcription regulation (i.e., pparg), and stress-responses (e.g., cyp3a27) compared with livers of GS0 fish. We performed principal component analysis (PCA) using transcript levels for gill and liver separately. The gill PCA showed that PC1 significantly separated GS2 from all other gill scores. The genes contributing most to this separation were pgam2, des, neb, tnnt2, and myom1. The liver PCA showed that PC1 significantly separated GS2 from GS0; levels of hsp70, cyp3a27, pparg, chtop, and serpind1b were the highest contributors to this separation. Also, hepatic acute phase biomarkers (e.g., serpind1b and f2) were positively correlated to each other and to gill damage. Gill damage-responsive biomarker genes and associated qPCR assays arising from this study will be valuable in future research aimed at developing therapeutic diets to improve farmed salmon welfare.
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Affiliation(s)
- Mohamed Emam
- Department of Ocean Sciences, Memorial University of Newfoundland, St. John's, NL, Canada
| | | | - Xi Xue
- Department of Ocean Sciences, Memorial University of Newfoundland, St. John's, NL, Canada
| | | | | | - Richard G Taylor
- Cargill Animal Nutrition and Health, Elk River, MN, United States
| | - Rachel Balder
- Cargill Animal Nutrition and Health, Elk River, MN, United States
| | - Matthew L Rise
- Department of Ocean Sciences, Memorial University of Newfoundland, St. John's, NL, Canada
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4
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Deng Y, Levine H, Mao X, Sander LM. Collective motility and mechanical waves in cell clusters. THE EUROPEAN PHYSICAL JOURNAL. E, SOFT MATTER 2021; 44:137. [PMID: 34782959 DOI: 10.1140/epje/s10189-021-00141-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
Abstract
Epithelial cell clusters often move collectively on a substrate. Mechanical signals play a major role in organizing this behavior. There are a number of experimental observations in these systems which await a comprehensive explanation. These include: the internal strains are tensile even for clusters that expand by proliferation; the tractions on the substrate are often confined to the edges of the cluster; there can exist density waves within the cluster; and for cells in an annulus, there is a transition between expanding clusters with proliferation and the case where cells fill the annulus and rotate around it. We formulate a mechanical model to examine these effects. We use a molecular clutch picture which allows "stalling"-inhibition of cell contraction by external forces. Stalled cells are passive from a physical point of view and the un-stalled cells are active. By attaching cells to the substrate and to each other, and taking into account contact inhibition of locomotion, we get a simple picture for many of these findings as well as predictions that could be tested.
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Affiliation(s)
- Youyuan Deng
- Center for Theoretical Biological Physics, Rice University, Houston, TX, 77030-1402, USA
- Applied Physics Graduate Program, Rice University, Houston, TX, 77005-1827, USA
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, 77030-1402, USA
- Department of Physics, Northeastern University, Boston, MA, 02115, USA
| | - Xiaoming Mao
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109-1040, USA
| | - Leonard M Sander
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109-1040, USA.
- Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI, 48109-1107, USA.
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5
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Tao L, Fang SY, Zhao L, He TC, He Y, Bi Y. Indocyanine Green Uptake and Periodic Acid-Schiff Staining Method for Function Detection of Liver Cells are Affected by Different Cell Confluence. Cytotechnology 2021; 73:159-167. [PMID: 33927473 DOI: 10.1007/s10616-021-00453-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/17/2021] [Indexed: 12/21/2022] Open
Abstract
Hepatic stem cell transplantation has been demonstrated as an effective alternative therapy for the end-stage liver failure patients. Therefore, the functional detection of hepatic stem cell is essentially required. The present study confirmed that adenovirus BMP9 (Ad-BMP9) could increase the ALB-Gluc activity of HP14-19 hepatic progenitor cells, the expression of specific hepatic markers ALB, TAT, UGT1A were up-regulated while the hepatic stem cell markers DLK, AFP were down-regulated, and the number of positive Periodic acid-Schiff (PAS) stained cells were significantly higher than those in control group. However, the indocyanine green (ICG) uptake failed to be detectable in induced hepatocytes, which was inconsistent. By using another cell line LC14d, we found out that positive ICG uptake cells were located in the area of low cell density, while positive PAS stained cells were mainly concentrated in the area where cells were overlapped, indicating that different cell confluence might affect the outcomes of ICG uptake and PAS staining. A manual wound healing of Ad-BMP9 induced HP14-19 cells was made, the crawling cells were stained positive for ICG but not for PAS. Therefore, our finding may provide evidence for better application of PAS staining and ICG uptake assay in functional detection of mature hepatocytes. Supplementary Information The online version contains supplementary material available at 10.1007/s10616-021-00453-8.
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Affiliation(s)
- Li Tao
- Department of Pediatric Research Institute of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Shu-Yu Fang
- Department of Pediatric Research Institute of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Li Zhao
- Department of Pediatric Research Institute of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Tong-Chuan He
- Molecular Oncology Laboratory, The University of Chicago Medical Center, Chicago, IL 60637 USA
| | - Yun He
- Department of Pediatric Research Institute of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,Stem Cell Biology and Therapy Laboratory, The Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Yang Bi
- Department of Pediatric Research Institute of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,Department of Pediatric Surgery, The Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China
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6
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DiNapoli KT, Robinson DN, Iglesias PA. Tools for computational analysis of moving boundary problems in cellular mechanobiology. WILEY INTERDISCIPLINARY REVIEWS. SYSTEMS BIOLOGY AND MEDICINE 2020; 13:e1514. [PMID: 33305503 DOI: 10.1002/wsbm.1514] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/08/2020] [Accepted: 10/20/2020] [Indexed: 12/29/2022]
Abstract
A cell's ability to change shape is one of the most fundamental biological processes and is essential for maintaining healthy organisms. When the ability to control shape goes awry, it often results in a diseased system. As such, it is important to understand the mechanisms that allow a cell to sense and respond to its environment so as to maintain cellular shape homeostasis. Because of the inherent complexity of the system, computational models that are based on sound theoretical understanding of the biochemistry and biomechanics and that use experimentally measured parameters are an essential tool. These models involve an inherent feedback, whereby shape is determined by the action of regulatory signals whose spatial distribution depends on the shape. To carry out computational simulations of these moving boundary problems requires special computational techniques. A variety of alternative approaches, depending on the type and scale of question being asked, have been used to simulate various biological processes, including cell motility, division, mechanosensation, and cell engulfment. In general, these models consider the forces that act on the system (both internally generated, or externally imposed) and the mechanical properties of the cell that resist these forces. Moving forward, making these techniques more accessible to the non-expert will help improve interdisciplinary research thereby providing new insight into important biological processes that affect human health. This article is categorized under: Cancer > Cancer>Computational Models Cancer > Cancer>Molecular and Cellular Physiology.
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Affiliation(s)
- Kathleen T DiNapoli
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Douglas N Robinson
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Pablo A Iglesias
- Department of Cell Biology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA
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8
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A Cdc42-mediated supracellular network drives polarized forces and Drosophila egg chamber extension. Nat Commun 2020; 11:1921. [PMID: 32317641 PMCID: PMC7174421 DOI: 10.1038/s41467-020-15593-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 03/13/2020] [Indexed: 01/09/2023] Open
Abstract
Actomyosin supracellular networks emerge during development and tissue repair. These cytoskeletal structures are able to generate large scale forces that can extensively remodel epithelia driving tissue buckling, closure and extension. How supracellular networks emerge, are controlled and mechanically work still remain elusive. During Drosophila oogenesis, the egg chamber elongates along the anterior-posterior axis. Here we show that a dorsal-ventral polarized supracellular F-actin network, running around the egg chamber on the basal side of follicle cells, emerges from polarized intercellular filopodia that radiate from basal stress fibers and extend penetrating neighboring cell cortexes. Filopodia can be mechanosensitive and function as cell-cell anchoring sites. The small GTPase Cdc42 governs the formation and distribution of intercellular filopodia and stress fibers in follicle cells. Finally, our study shows that a Cdc42-dependent supracellular cytoskeletal network provides a scaffold integrating local oscillatory actomyosin contractions at the tissue scale to drive global polarized forces and tissue elongation. During development, organs undergo large scale forces driven by the cytoskeleton but the precise molecular regulation of cytoskeletal networks remains unclear. Here, the authors report a Cdc42-dependent supracellular cytoskeletal network integrates local actomyosin contraction at tissue scale and drives global tissue elongation.
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Jolly MK, Ware KE, Xu S, Gilja S, Shetler S, Yang Y, Wang X, Austin RG, Runyambo D, Hish AJ, Bartholf DeWitt S, George JT, Kreulen RT, Boss MK, Lazarides AL, Kerr DL, Gerber DG, Sivaraj D, Armstrong AJ, Dewhirst MW, Eward WC, Levine H, Somarelli JA. E-Cadherin Represses Anchorage-Independent Growth in Sarcomas through Both Signaling and Mechanical Mechanisms. Mol Cancer Res 2019; 17:1391-1402. [PMID: 30862685 DOI: 10.1158/1541-7786.mcr-18-0763] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 11/16/2018] [Accepted: 03/08/2019] [Indexed: 12/19/2022]
Abstract
CDH1 (also known as E-cadherin), an epithelial-specific cell-cell adhesion molecule, plays multiple roles in maintaining adherens junctions, regulating migration and invasion, and mediating intracellular signaling. Downregulation of E-cadherin is a hallmark of epithelial-to-mesenchymal transition (EMT) and correlates with poor prognosis in multiple carcinomas. Conversely, upregulation of E-cadherin is prognostic for improved survival in sarcomas. Yet, despite the prognostic benefit of E-cadherin expression in sarcoma, the mechanistic significance of E-cadherin in sarcomas remains poorly understood. Here, by combining mathematical models with wet-bench experiments, we identify the core regulatory networks mediated by E-cadherin in sarcomas, and decipher their functional consequences. Unlike carcinomas, E-cadherin overexpression in sarcomas does not induce a mesenchymal-to-epithelial transition (MET). However, E-cadherin acts to reduce both anchorage-independent growth and spheroid formation of sarcoma cells. Ectopic E-cadherin expression acts to downregulate phosphorylated CREB1 (p-CREB) and the transcription factor, TBX2, to inhibit anchorage-independent growth. RNAi-mediated knockdown of TBX2 phenocopies the effect of E-cadherin on CREB levels and restores sensitivity to anchorage-independent growth in sarcoma cells. Beyond its signaling role, E-cadherin expression in sarcoma cells can also strengthen cell-cell adhesion and restricts spheroid growth through mechanical action. Together, our results demonstrate that E-cadherin inhibits sarcoma aggressiveness by preventing anchorage-independent growth. IMPLICATIONS: We highlight how E-cadherin can restrict aggressive behavior in sarcomas through both biochemical signaling and biomechanical effects.
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Affiliation(s)
- Mohit Kumar Jolly
- Center for Theoretical Biological Physics, Rice University, Houston, Texas
| | - Kathryn E Ware
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Shengnan Xu
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Shivee Gilja
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Samantha Shetler
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Yanjun Yang
- Center for Theoretical Biological Physics, Rice University, Houston, Texas.,Department of Applied Physics, Rice University, Houston, Texas
| | - Xueyang Wang
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - R Garland Austin
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Daniella Runyambo
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Alexander J Hish
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | | | - Jason T George
- Center for Theoretical Biological Physics, Rice University, Houston, Texas.,Department of Bioengineering, Rice University, Houston, Texas.,Medical Scientist Training Program, Baylor College of Medicine, Houston, Texas
| | - R Timothy Kreulen
- Department of Orthopedics, Duke University Medical Center, Durham, North Carolina
| | - Mary-Keara Boss
- Flint Animal Cancer Center, Colorado State University, Fort Collins, Colorado
| | | | - David L Kerr
- Department of Orthopedics, Duke University Medical Center, Durham, North Carolina
| | - Drew G Gerber
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Dharshan Sivaraj
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Andrew J Armstrong
- Solid Tumor Program, Duke University Medical Center, Durham, North Carolina.,Duke Prostate Center, Duke University Medical Center, Durham, North Carolina
| | - Mark W Dewhirst
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - William C Eward
- Department of Orthopedics, Duke University Medical Center, Durham, North Carolina
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, Texas.,Department of Bioengineering, Rice University, Houston, Texas
| | - Jason A Somarelli
- Department of Medicine, Duke University Medical Center, Durham, North Carolina.
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10
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Computational Modeling of Collective Cell Migration: Mechanical and Biochemical Aspects. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1146:1-11. [PMID: 31612450 DOI: 10.1007/978-3-030-17593-1_1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Collective cell migration plays key roles in various physiological and pathological processes in multicellular organisms, including embryonic development, wound healing, and formation of cancer metastases. Such collective migration involves complex crosstalk among cells and their environment at both biochemical and mechanical levels. Here, we review various computational modeling strategies that have been helpful in decoding the dynamics of collective cell migration. Most of such attempts have focused either aspect - mechanical or biochemical regulation of collective cell migration, and have yielded complementary insights. Finally, we suggest some possible ways to integrate these models to gain a more comprehensive understanding of collective cell migration.
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