Journal articles on the topic 'Cell mechanobiology'

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1

Kim, Deok-Ho, and Yu Sun. "Editorial: Cell Mechanobiology." Micro & Nano Letters 6, no. 5 (2011): 289. http://dx.doi.org/10.1049/mnl.2011.9045.

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2

Lee, David A., Martin M. Knight, Jonathan J. Campbell, and Dan L. Bader. "Stem cell mechanobiology." Journal of Cellular Biochemistry 112, no. 1 (July 12, 2010): 1–9. http://dx.doi.org/10.1002/jcb.22758.

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3

Castillo, Alesha B., and Christopher R. Jacobs. "Mesenchymal Stem Cell Mechanobiology." Current Osteoporosis Reports 8, no. 2 (April 13, 2010): 98–104. http://dx.doi.org/10.1007/s11914-010-0015-2.

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4

David Merryman, W., and Adam J. Engler. "Innovations in Cell Mechanobiology." Journal of Biomechanics 43, no. 1 (January 2010): 1. http://dx.doi.org/10.1016/j.jbiomech.2009.09.001.

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5

Paluch, Ewa K., and Dennis E. Discher. "Cell motion and mechanobiology." Molecular Biology of the Cell 26, no. 6 (March 15, 2015): 1011. http://dx.doi.org/10.1091/mbc.e14-12-1590.

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6

Kim, Deok-Ho, Pak Kin Wong, Jungyul Park, Andre Levchenko, and Yu Sun. "Microengineered Platforms for Cell Mechanobiology." Annual Review of Biomedical Engineering 11, no. 1 (August 2009): 203–33. http://dx.doi.org/10.1146/annurev-bioeng-061008-124915.

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7

Xia, Shumin, and Pakorn Kanchanawong. "Nanoscale mechanobiology of cell adhesions." Seminars in Cell & Developmental Biology 71 (November 2017): 53–67. http://dx.doi.org/10.1016/j.semcdb.2017.07.029.

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8

Ladoux, Benoit, and René-Marc Mège. "Mechanobiology of collective cell behaviours." Nature Reviews Molecular Cell Biology 18, no. 12 (November 8, 2017): 743–57. http://dx.doi.org/10.1038/nrm.2017.98.

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9

Lammerding, Jan, Adam J. Engler, and Roger Kamm. "Mechanobiology of the cell nucleus." APL Bioengineering 6, no. 4 (December 1, 2022): 040401. http://dx.doi.org/10.1063/5.0135299.

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10

Saw, Thuan Beng, Shreyansh Jain, Benoit Ladoux, and Chwee Teck Lim. "Mechanobiology of Collective Cell Migration." Cellular and Molecular Bioengineering 8, no. 1 (November 6, 2014): 3–13. http://dx.doi.org/10.1007/s12195-014-0366-3.

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11

Abuwarda, Hamid, and Medha M. Pathak. "Mechanobiology of neural development." Current Opinion in Cell Biology 66 (October 2020): 104–11. http://dx.doi.org/10.1016/j.ceb.2020.05.012.

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12

Lewis, Karl J. "Musculoskeletal mechanobiology." Connective Tissue Research 63, no. 1 (November 15, 2021): 1–2. http://dx.doi.org/10.1080/03008207.2021.2005172.

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13

Carter, Dennis R., and Marcy Wong. "Modelling cartilage mechanobiology." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1437 (August 12, 2003): 1461–71. http://dx.doi.org/10.1098/rstb.2003.1346.

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The growth, maintenance and ossification of cartilage are fundamental to skeletal development and are regulated throughout life by the mechanical cues that are imposed by physical activities. Finite element computer analyses have been used to study the role of local tissue mechanics on endochondral ossification patterns, skeletal morphology and articular cartilage thickness distributions. Using single–phase continuum material representations of cartilage, the results have indicated that local intermittent hydrostatic pressure promotes cartilage maintenance. Cyclic tensile strains (or shear), however, promote cartilage growth and ossification. Because single–phase material models cannot capture fluid exudation in articular cartilage, poroelastic (or biphasic) solid/fluid models are often implemented to study joint mechanics. In the middle and deep layers of articular cartilage where poroelastic analyses predict little fluid exudation, the cartilage phenotype is maintained by cyclic fluid pressure (consistent with the single–phase theory). In superficial articular layers the chondrocytes are exposed to tangential tensile strain in addition to the high fluid pressure. Furthermore, there is fluid exudation and matrix consolidation, leading to cell ‘flattening’. As a result, the superficial layer assumes an altered, more fibrous phenotype. These computer model predictions of cartilage mechanobiology are consistent with results of in vitro cell and tissue and molecular biology experiments.
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14

Irons, Linda, and Jay D. Humphrey. "Cell signaling model for arterial mechanobiology." PLOS Computational Biology 16, no. 8 (August 24, 2020): e1008161. http://dx.doi.org/10.1371/journal.pcbi.1008161.

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15

Ebara, Mitsuhiro. "Shape-memory surfaces for cell mechanobiology." Science and Technology of Advanced Materials 16, no. 1 (February 25, 2015): 014804. http://dx.doi.org/10.1088/1468-6996/16/1/014804.

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16

Gefen, Amit. "Introduction to Cell Mechanics and Mechanobiology." Computer Methods in Biomechanics and Biomedical Engineering 18, no. 2 (March 22, 2013): 221–22. http://dx.doi.org/10.1080/10255842.2013.780048.

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17

KIDOAKI, Satoru. "Mechanobio-Materials : Biomaterials Manipulating Cell Mechanobiology." Journal of the Society of Mechanical Engineers 117, no. 1142 (2014): 32–36. http://dx.doi.org/10.1299/jsmemag.117.1142_32.

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18

Chen, Weiqiang, Deok-Ho Kim, and Chwee Teck Lim. "Special Issue: Biomaterials for Cell Mechanobiology." ACS Biomaterials Science & Engineering 5, no. 8 (August 12, 2019): 3685–87. http://dx.doi.org/10.1021/acsbiomaterials.9b01123.

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19

Shin, Jae-Won, and David J. Mooney. "Improving Stem Cell Therapeutics with Mechanobiology." Cell Stem Cell 18, no. 1 (January 2016): 16–19. http://dx.doi.org/10.1016/j.stem.2015.12.007.

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20

Wang, J. H. C., and B. P. Thampatty. "An Introductory Review of Cell Mechanobiology." Biomechanics and Modeling in Mechanobiology 5, no. 1 (January 28, 2006): 1–16. http://dx.doi.org/10.1007/s10237-005-0012-z.

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21

Goulas, Spyros, Masha V. Gelfand, and Ilil Carmi. "Cellular Mechanobiology." Developmental Cell 56, no. 2 (January 2021): 155. http://dx.doi.org/10.1016/j.devcel.2021.01.004.

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22

MacQueen, Luke, Yu Sun, and Craig A. Simmons. "Mesenchymal stem cell mechanobiology and emerging experimental platforms." Journal of The Royal Society Interface 10, no. 84 (July 6, 2013): 20130179. http://dx.doi.org/10.1098/rsif.2013.0179.

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Experimental control over progenitor cell lineage specification can be achieved by modulating properties of the cell's microenvironment. These include physical properties of the cell adhesion substrate, such as rigidity, topography and deformation owing to dynamic mechanical forces. Multipotent mesenchymal stem cells (MSCs) generate contractile forces to sense and remodel their extracellular microenvironments and thereby obtain information that directs broad aspects of MSC function, including lineage specification. Various physical factors are important regulators of MSC function, but improved understanding of MSC mechanobiology requires novel experimental platforms. Engineers are bridging this gap by developing tools to control mechanical factors with improved precision and throughput, thereby enabling biological investigation of mechanics-driven MSC function. In this review, we introduce MSC mechanobiology and review emerging cell culture platforms that enable new insights into mechanobiological control of MSCs. Our main goals are to provide engineers and microtechnology developers with an up-to-date description of MSC mechanobiology that is relevant to the design of experimental platforms and to introduce biologists to these emerging platforms.
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23

Kamimura, Masao, Michiko Sugawara, Shota Yamamoto, Kazuo Yamaguchi, and Jun Nakanishi. "Dynamic control of cell adhesion on a stiffness-tunable substrate for analyzing the mechanobiology of collective cell migration." Biomaterials Science 4, no. 6 (2016): 933–37. http://dx.doi.org/10.1039/c6bm00100a.

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24

Mammoto, Tadanori, Akiko Mammoto, and Donald E. Ingber. "Mechanobiology and Developmental Control." Annual Review of Cell and Developmental Biology 29, no. 1 (October 6, 2013): 27–61. http://dx.doi.org/10.1146/annurev-cellbio-101512-122340.

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25

Munn, Lance L. "Mechanobiology of lymphatic contractions." Seminars in Cell & Developmental Biology 38 (February 2015): 67–74. http://dx.doi.org/10.1016/j.semcdb.2015.01.010.

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26

Dunn, Alexander R. "Mechanobiology: ubiquitous and useful." Molecular Biology of the Cell 29, no. 16 (August 8, 2018): 1917–18. http://dx.doi.org/10.1091/mbc.e18-07-0427.

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27

Bayir, Ece, Aylin Sendemir, and Yannis F. Missirlis. "Mechanobiology of cells and cell systems, such as organoids." Biophysical Reviews 11, no. 5 (September 9, 2019): 721–28. http://dx.doi.org/10.1007/s12551-019-00590-7.

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28

Garcia-Gonzalez, Daniel. "Smart materials for mechanobiology." EU Research 32, Autumn 2022 (October 2022): 14–15. http://dx.doi.org/10.56181/oilv2263.

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The mechanical environment around cells has a significant influence on their behaviour. Researchers in the 4D-BIOMAP project are developing smart materials that change shape and stiffness when a magnetic field is applied, alongside investigating the impact of mechanical changes on cell behaviour, as Dr Daniel Garcia-Gonzalez explains.
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29

Pfannenstill, Veronika, Aurélien Barbotin, Huw Colin-York, and Marco Fritzsche. "Quantitative Methodologies to Dissect Immune Cell Mechanobiology." Cells 10, no. 4 (April 9, 2021): 851. http://dx.doi.org/10.3390/cells10040851.

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Mechanobiology seeks to understand how cells integrate their biomechanics into their function and behavior. Unravelling the mechanisms underlying these mechanobiological processes is particularly important for immune cells in the context of the dynamic and complex tissue microenvironment. However, it remains largely unknown how cellular mechanical force generation and mechanical properties are regulated and integrated by immune cells, primarily due to a profound lack of technologies with sufficient sensitivity to quantify immune cell mechanics. In this review, we discuss the biological significance of mechanics for immune cells across length and time scales, and highlight several experimental methodologies for quantifying the mechanics of immune cells. Finally, we discuss the importance of quantifying the appropriate mechanical readout to accelerate insights into the mechanobiology of the immune response.
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30

Turner, C. H., S. J. Warden, T. Bellido, L. I. Plotkin, N. Kumar, I. Jasiuk, J. Danzig, and A. G. Robling. "Mechanobiology of the Skeleton." Science Signaling 2, no. 68 (April 21, 2009): pt3. http://dx.doi.org/10.1126/scisignal.268pt3.

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31

Gargalionis, Antonios N., Efthimia K. Basdra, and Athanasios G. Papavassiliou. "Polycystins in disease mechanobiology." Journal of Cellular Biochemistry 120, no. 5 (November 21, 2018): 6894–98. http://dx.doi.org/10.1002/jcb.28127.

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32

Han, Yue, Kai Huang, Qing-Ping Yao, and Zong-Lai Jiang. "Mechanobiology in vascular remodeling." National Science Review 5, no. 6 (December 26, 2017): 933–46. http://dx.doi.org/10.1093/nsr/nwx153.

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Abstract Vascular remodeling is a common pathological process in cardiovascular diseases and includes changes in cell proliferation, apoptosis and differentiation as well as vascular homeostasis. Mechanical stresses, such as shear stress and cyclic stretch, play an important role in vascular remodeling. Vascular cells can sense the mechanical factors through cell membrane proteins, cytoskeletons and nuclear envelope proteins to initiate mechanotransduction, which involves intercellular signaling, gene expression, and protein expression to result in functional regulations. Non-coding RNAs, including microRNAs and long non-coding RNAs, are involved in the regulation of vascular remodeling processes. Mechanotransduction triggers a cascade reaction process through a complicated signaling network in cells. High-throughput technologies in combination with functional studies targeting some key hubs and bridging nodes of the network can enable the prioritization of potential targets for subsequent investigations of clinical translation. Vascular mechanobiology, as a new frontier field of biomechanics, searches for principles of stress-growth in vasculature to elucidate how mechanical factors induce biological effects that lead to vascular remodeling, with the goal of understanding the mechanical basis of the pathological mechanism of cardiovascular diseases at the cellular and molecular levels. Vascular mechanobiology will play a unique role in solving the key scientific problems of human physiology and disease, as well as generating important theoretical and clinical results.
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33

Robinson, Sarah. "Mechanobiology of cell division in plant growth." New Phytologist 231, no. 2 (May 2, 2021): 559–64. http://dx.doi.org/10.1111/nph.17369.

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34

Ambrosi, Davide, Chun Liu, Matthias Röger, and Angela Stevens. "The Mathematics of Mechanobiology and Cell Signaling." Oberwolfach Reports 15, no. 1 (January 4, 2019): 433–506. http://dx.doi.org/10.4171/owr/2018/8.

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35

Rajagopalan, Jagannathan, and M. Taher A. Saif. "MEMS sensors and microsystems for cell mechanobiology." Journal of Micromechanics and Microengineering 21, no. 5 (April 28, 2011): 054002. http://dx.doi.org/10.1088/0960-1317/21/5/054002.

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36

Chabaud, Mélanie, Noémie Paillon, Katharina Gaus, and Claire Hivroz. "Mechanobiology of antigen‐induced T cell arrest." Biology of the Cell 112, no. 7 (April 27, 2020): 196–212. http://dx.doi.org/10.1111/boc.201900093.

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37

Zhovmer, Alexander S., Emilios K. Dimitriadis, Xuefei Ma, Paolo P. Provenzano, and Erdem D. Tabdanov. "Mechanobiology of Extravasating CD4(+) T-Cell Cytoskeleton." Biophysical Journal 118, no. 3 (February 2020): 281a. http://dx.doi.org/10.1016/j.bpj.2019.11.1604.

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38

Guo, Yifan, Mohammad R. K. Mofrad, and Adrian Buganza Tepole. "On modeling the multiscale mechanobiology of soft tissues: Challenges and progress." Biophysics Reviews 3, no. 3 (September 2022): 031303. http://dx.doi.org/10.1063/5.0085025.

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Tissues grow and remodel in response to mechanical cues, extracellular and intracellular signals experienced through various biological events, from the developing embryo to disease and aging. The macroscale response of soft tissues is typically nonlinear, viscoelastic anisotropic, and often emerges from the hierarchical structure of tissues, primarily their biopolymer fiber networks at the microscale. The adaptation to mechanical cues is likewise a multiscale phenomenon. Cell mechanobiology, the ability of cells to transform mechanical inputs into chemical signaling inside the cell, and subsequent regulation of cellular behavior through intra- and inter-cellular signaling networks, is the key coupling at the microscale between the mechanical cues and the mechanical adaptation seen macroscopically. To fully understand mechanics of tissues in growth and remodeling as observed at the tissue level, multiscale models of tissue mechanobiology are essential. In this review, we summarize the state-of-the art modeling tools of soft tissues at both scales, the tissue level response, and the cell scale mechanobiology models. To help the interested reader become more familiar with these modeling frameworks, we also show representative examples. Our aim here is to bring together scientists from different disciplines and enable the future leap in multiscale modeling of tissue mechanobiology.
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39

Rosińczuk, Joanna, Jakub Taradaj, Robert Dymarek, and Mirosław Sopel. "Mechanoregulation of Wound Healing and Skin Homeostasis." BioMed Research International 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/3943481.

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Basic and clinical studies on mechanobiology of cells and tissues point to the importance of mechanical forces in the process of skin regeneration and wound healing. These studies result in the development of new therapies that use mechanical force which supports effective healing. A better understanding of mechanobiology will make it possible to develop biomaterials with appropriate physical and chemical properties used to treat poorly healing wounds. In addition, it will make it possible to design devices precisely controlling wound mechanics and to individualize a therapy depending on the type, size, and anatomical location of the wound in specific patients, which will increase the clinical efficiency of the therapy. Linking mechanobiology with the science of biomaterials and nanotechnology will enable in the near future precise interference in abnormal cell signaling responsible for the proliferation, differentiation, cell death, and restoration of the biological balance. The objective of this study is to point to the importance of mechanobiology in regeneration of skin damage and wound healing. The study describes the influence of rigidity of extracellular matrix and special restrictions on cell physiology. The study also defines how and what mechanical changes influence tissue regeneration and wound healing. The influence of mechanical signals in the process of proliferation, differentiation, and skin regeneration is tagged in the study.
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40

Weaver, Valerie M. "Mechanobiology: forcing the second act." Molecular Biology of the Cell 32, no. 18 (August 19, 2021): 1611–13. http://dx.doi.org/10.1091/mbc.e21-07-0343.

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41

Wu, Min, and Jian Liu. "Mechanobiology in cortical waves and oscillations." Current Opinion in Cell Biology 68 (February 2021): 45–54. http://dx.doi.org/10.1016/j.ceb.2020.08.017.

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42

Hah, Jungwon, and Dong-Hwee Kim. "Deciphering Nuclear Mechanobiology in Laminopathy." Cells 8, no. 3 (March 11, 2019): 231. http://dx.doi.org/10.3390/cells8030231.

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Extracellular mechanical stimuli are translated into biochemical signals inside the cell via mechanotransduction. The nucleus plays a critical role in mechanoregulation, which encompasses mechanosensing and mechanotransduction. The nuclear lamina underlying the inner nuclear membrane not only maintains the structural integrity, but also connects the cytoskeleton to the nuclear envelope. Lamin mutations, therefore, dysregulate the nuclear response, resulting in abnormal mechanoregulations, and ultimately, disease progression. Impaired mechanoregulations even induce malfunction in nuclear positioning, cell migration, mechanosensation, as well as differentiation. To know how to overcome laminopathies, we need to understand the mechanisms of laminopathies in a mechanobiological way. Recently, emerging studies have demonstrated the varying defects from lamin mutation in cellular homeostasis within mechanical surroundings. Therefore, this review summarizes recent findings highlighting the role of lamins, the architecture of nuclear lamina, and their disease relevance in the context of nuclear mechanobiology. We will also provide an overview of the differentiation of cellular mechanics in laminopathy.
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43

Cong, Jing, Bing Fang, Qian Wang, Yan Su, Tianqi Gu, and Tianzhi Luo. "The mechanobiology of actin cytoskeletal proteins during cell–cell fusion." Journal of The Royal Society Interface 16, no. 156 (July 2019): 20190022. http://dx.doi.org/10.1098/rsif.2019.0022.

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Myosin II and spectrin β display mechanosensitive accumulations in invasive protrusions during cell–cell fusion of Drosophila myoblasts. The biochemical inhibition and deactivation of these proteins results in significant fusion defects. Yet, a quantitative understanding of how the protrusion geometry and fusion process are linked to these proteins is still lacking. Here we present a quantitative model to interpret the dependence of the protrusion size and the protrusive force on the mechanical properties and microstructures of the actin cytoskeleton and plasma membrane based on a mean-field theory. We build a quantitative linkage between mechanosensitive accumulation of myosin II and fusion pore formation at the tip of the invasive protrusion through local area dilation. The mechanical feedback loop between myosin II and local deformation suggests that myosin II accumulation possibly reduces the energy barrier and the critical radius of fusion pores. We also analyse the effect of spectrin β on maintaining the proper geometry of the protrusions required for the success of cell–cell fusion.
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44

Lotz, J. C., A. H. Hsieh, A. L. Walsh, E. I. Palmer, and J. R. Chin. "Mechanobiology of the intervertebral disc." Biochemical Society Transactions 30, no. 6 (November 1, 2002): 853–58. http://dx.doi.org/10.1042/bst0300853.

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Intervertebral disc degeneration has been linked in humans to extreme spinal loading regimens. However, mechanisms by which spinal force influences disc cellularity, morphology and consequently biomechanical function are unclear. To gain insight into mechanobiological interactions within the disc, we developed an in vivo murine tail-compression model. Results from this model demonstrate how deviations in spinal stress induce a cycle of altered cell function and morphology as the disc remodels to a new homoeostatic configuration.
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45

Argentati, Chiara, Francesco Morena, Ilaria Tortorella, Martina Bazzucchi, Serena Porcellati, Carla Emiliani, and Sabata Martino. "Insight into Mechanobiology: How Stem Cells Feel Mechanical Forces and Orchestrate Biological Functions." International Journal of Molecular Sciences 20, no. 21 (October 26, 2019): 5337. http://dx.doi.org/10.3390/ijms20215337.

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The cross-talk between stem cells and their microenvironment has been shown to have a direct impact on stem cells’ decisions about proliferation, growth, migration, and differentiation. It is well known that stem cells, tissues, organs, and whole organisms change their internal architecture and composition in response to external physical stimuli, thanks to cells’ ability to sense mechanical signals and elicit selected biological functions. Likewise, stem cells play an active role in governing the composition and the architecture of their microenvironment. Is now being documented that, thanks to this dynamic relationship, stemness identity and stem cell functions are maintained. In this work, we review the current knowledge in mechanobiology on stem cells. We start with the description of theoretical basis of mechanobiology, continue with the effects of mechanical cues on stem cells, development, pathology, and regenerative medicine, and emphasize the contribution in the field of the development of ex-vivo mechanobiology modelling and computational tools, which allow for evaluating the role of forces on stem cell biology.
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46

McHugh, Jessica. "Linking cell mechanobiology and inflammation in IVD degeneration." Nature Reviews Rheumatology 16, no. 11 (September 22, 2020): 604. http://dx.doi.org/10.1038/s41584-020-00510-0.

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47

Ivanovska, Irena L., Jae-Won Shin, Joe Swift, and Dennis E. Discher. "Stem cell mechanobiology: diverse lessons from bone marrow." Trends in Cell Biology 25, no. 9 (September 2015): 523–32. http://dx.doi.org/10.1016/j.tcb.2015.04.003.

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48

Throm, A., H. Hinds, and K. Billiar. "Valvular interstitial cell mechanobiology: effects of substrate stiffness." Journal of Biomechanics 39 (January 2006): S621. http://dx.doi.org/10.1016/s0021-9290(06)85582-x.

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49

Glazier, Roxanne, and Khalid Salaita. "Supported lipid bilayer platforms to probe cell mechanobiology." Biochimica et Biophysica Acta (BBA) - Biomembranes 1859, no. 9 (September 2017): 1465–82. http://dx.doi.org/10.1016/j.bbamem.2017.05.005.

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50

de la Zerda, Adi, Michael J. Kratochvil, Nicholas A. Suhar, and Sarah C. Heilshorn. "Review: Bioengineering strategies to probe T cell mechanobiology." APL Bioengineering 2, no. 2 (June 2018): 021501. http://dx.doi.org/10.1063/1.5006599.

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