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Sutlive J, Liu BS, Kwan SA, Pan JM, Gou K, Xu R, Ali AB, Khalil HA, Ackermann M, Chen Z, Mentzer SJ. Buckling forces and the wavy folds between pleural epithelial cells. Biosystems 2024:105216. [PMID: 38692427 DOI: 10.1016/j.biosystems.2024.105216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 05/03/2024]
Abstract
Cell shapes in tissues are affected by the biophysical interaction between cells. Tissue forces can influence specific cell features such as cell geometry and cell surface area. Here, we examined the 2-dimensional shape, size, and perimeter of pleural epithelial cells at various lung volumes. We demonstrated a 1.53-fold increase in 2-dimensional cell surface area and a 1.43-fold increase in cell perimeter at total lung capacity compared to residual lung volume. Consistent with previous results, close inspection of the pleura demonstrated wavy folds between pleural epithelial cells at all lung volumes. To investigate a potential explanation for the wavy folds, we developed a physical simulacrum suggested by D'Arcy Thompson in On Growth and Form. The simulacrum suggested that the wavy folds were the result of redundant cell membranes unable to contract. To test this hypothesis, we developed a numerical simulation to evaluate the impact of an increase in 2-dimensional cell surface area and cell perimeter on the shape of the cell-cell interface. Our simulation demonstrated that an increase in cell perimeter, rather than an increase in 2-dimensional cell surface area, had the most direct impact on the presence of wavy folds. We conclude that wavy folds between pleural epithelial cells reflects buckling forces arising from the excess cell perimeter necessary to accommodate visceral organ expansion.
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Affiliation(s)
- Joseph Sutlive
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Betty S Liu
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Stacey A Kwan
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Jennifer M Pan
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Kun Gou
- Department of Computational, Engineering, and Mathematical Sciences, Texas A&M University-San Antonio, San Antonio, TX, USA
| | - Rongguang Xu
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Ali B Ali
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Hassan A Khalil
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Maximilian Ackermann
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Zi Chen
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA.
| | - Steven J Mentzer
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston MA, USA.
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Liu BS, Sutlive J, Wagner WL, Khalil HA, Chen Z, Ackermann M, Mentzer SJ. Geometric and network organization of visceral organ epithelium. Front Netw Physiol 2023; 3:1144186. [PMID: 37234691 PMCID: PMC10208427 DOI: 10.3389/fnetp.2023.1144186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023]
Abstract
Mammalian epithelia form a continuous sheet of cells that line the surface of visceral organs. To analyze the epithelial organization of the heart, lung, liver and bowel, epithelial cells were labeled in situ, isolated as a single layer and imaged as large epithelial digitally combine montages. The stitched epithelial images were analyzed for geometric and network organization. Geometric analysis demonstrated a similar polygon distribution in all organs with the greatest variability in the heart epithelia. Notably, the normal liver and inflated lung demonstrated the largest average cell surface area (p < 0.01). In lung epithelia, characteristic wavy or interdigitated cell boundaries were observed. The prevalence of interdigitations increased with lung inflation. To complement the geometric analyses, the epithelia were converted into a network of cell-to-cell contacts. Using the open-source software EpiGraph, subgraph (graphlet) frequencies were used to characterize epithelial organization and compare to mathematical (Epi-Hexagon), random (Epi-Random) and natural (Epi-Voronoi5) patterns. As expected, the patterns of the lung epithelia were independent of lung volume. In contrast, liver epithelia demonstrated a pattern distinct from lung, heart and bowel epithelia (p < 0.05). We conclude that geometric and network analyses can be useful tools in characterizing fundamental differences in mammalian tissue topology and epithelial organization.
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Affiliation(s)
- Betty S. Liu
- Laboratory of Adaptive and Regenerative Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Joseph Sutlive
- Laboratory of Adaptive and Regenerative Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Willi L. Wagner
- Translational Lung Research Center, Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany
| | - Hassan A. Khalil
- Laboratory of Adaptive and Regenerative Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Zi Chen
- Laboratory of Adaptive and Regenerative Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Maximilian Ackermann
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Steven J. Mentzer
- Laboratory of Adaptive and Regenerative Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
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Chen Y, Wu Z, Sutlive J, Wu K, Mao L, Nie J, Zhao XZ, Guo F, Chen Z, Huang Q. Correction: Noninvasive prenatal diagnosis targeting fetal nucleated red blood cells. J Nanobiotechnology 2023; 21:67. [PMID: 36843102 PMCID: PMC9969686 DOI: 10.1186/s12951-023-01805-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023] Open
Affiliation(s)
- Yanyu Chen
- grid.207374.50000 0001 2189 3846The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China ,grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Zhuhao Wu
- grid.411377.70000 0001 0790 959XDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405 USA
| | - Joseph Sutlive
- grid.62560.370000 0004 0378 8294Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA
| | - Ke Wu
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Lu Mao
- grid.207374.50000 0001 2189 3846The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China
| | - Jiabao Nie
- grid.62560.370000 0004 0378 8294Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA ,grid.261112.70000 0001 2173 3359Department of Biological Sciences, Northeastern University, Boston, MA 02115 USA
| | - Xing-Zhong Zhao
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA.
| | - Zi Chen
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Qinqin Huang
- The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052, China.
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Sutlive J, Seyyedhosseinzadeh H, Ao Z, Xiu H, Choudhury S, Gou K, Guo F, Chen Z. Mechanics of morphogenesis in neural development: In vivo, in vitro, and in silico. Brain Multiphysics 2023. [DOI: 10.1016/j.brain.2022.100062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
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Chen Y, Wu Z, Sutlive J, Wu K, Mao L, Nie J, Zhao XZ, Guo F, Chen Z, Huang Q. Noninvasive prenatal diagnosis targeting fetal nucleated red blood cells. J Nanobiotechnology 2022; 20:546. [PMID: 36585678 PMCID: PMC9805221 DOI: 10.1186/s12951-022-01749-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/15/2022] [Indexed: 12/31/2022] Open
Abstract
Noninvasive prenatal diagnosis (NIPD) aims to detect fetal-related genetic disorders before birth by detecting markers in the peripheral blood of pregnant women, holding the potential in reducing the risk of fetal birth defects. Fetal-nucleated red blood cells (fNRBCs) can be used as biomarkers for NIPD, given their remarkable nature of carrying the entire genetic information of the fetus. Here, we review recent advances in NIPD technologies based on the isolation and analysis of fNRBCs. Conventional cell separation methods rely primarily on physical properties and surface antigens of fNRBCs, such as density gradient centrifugation, fluorescence-activated cell sorting, and magnetic-activated cell sorting. Due to the limitations of sensitivity and purity in Conventional methods, separation techniques based on micro-/nanomaterials have been developed as novel methods for isolating and enriching fNRBCs. We also discuss emerging methods based on microfluidic chips and nanostructured substrates for static and dynamic isolation of fNRBCs. Additionally, we introduce the identification techniques of fNRBCs and address the potential clinical diagnostic values of fNRBCs. Finally, we highlight the challenges and the future directions of fNRBCs as treatment guidelines in NIPD.
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Affiliation(s)
- Yanyu Chen
- grid.207374.50000 0001 2189 3846Academy of Medical Sciences, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China ,grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Zhuhao Wu
- grid.411377.70000 0001 0790 959XDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405 USA
| | - Joseph Sutlive
- grid.38142.3c000000041936754XDivision of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA
| | - Ke Wu
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Lu Mao
- grid.207374.50000 0001 2189 3846Academy of Medical Sciences, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052 China
| | - Jiabao Nie
- grid.38142.3c000000041936754XDivision of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115 USA ,grid.261112.70000 0001 2173 3359Department of Biological Sciences, Northeastern University, Boston, MA 02115 USA
| | - Xing-Zhong Zhao
- grid.49470.3e0000 0001 2331 6153School of Physics and Technology, Wuhan University, Wuhan, 430072 China
| | - Feng Guo
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, United States.
| | - Zi Chen
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Qinqin Huang
- The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052, China.
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Sutlive J, Xiu H, Chen Y, Gou K, Xiong F, Guo M, Chen Z. Generation, Transmission, and Regulation of Mechanical Forces in Embryonic Morphogenesis. Small 2022; 18:e2103466. [PMID: 34837328 PMCID: PMC8831476 DOI: 10.1002/smll.202103466] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/19/2021] [Indexed: 05/02/2023]
Abstract
Embryonic morphogenesis is a biological process which depicts shape forming of tissues and organs during development. Unveiling the roles of mechanical forces generated, transmitted, and regulated in cells and tissues through these processes is key to understanding the biophysical mechanisms governing morphogenesis. To this end, it is imperative to measure, simulate, and predict the regulation and control of these mechanical forces during morphogenesis. This article aims to provide a comprehensive review of the recent advances on mechanical properties of cells and tissues, generation of mechanical forces in cells and tissues, the transmission processes of these generated forces during cells and tissues, the tools and methods used to measure and predict these mechanical forces in vivo, in vitro, or in silico, and to better understand the corresponding regulation and control of generated forces. Understanding the biomechanics and mechanobiology of morphogenesis will not only shed light on the fundamental physical mechanisms underlying these concerted biological processes during normal development, but also uncover new information that will benefit biomedical research in preventing and treating congenital defects or tissue engineering and regeneration.
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Affiliation(s)
- Joseph Sutlive
- Department of Surgery, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA 02115
| | - Haning Xiu
- Department of Surgery, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA 02115
| | - Yunfeng Chen
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037
| | - Kun Gou
- Department of Mathematical, Physical, and Engineering Sciences, Texas A&M University-San Antonio, San Antonio, TX 78224
| | - Fengzhu Xiong
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK
| | - Ming Guo
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Zi Chen
- Department of Surgery, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA 02115
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Sutlive J, Singh A, Zhang S, Müller R. A biomimetic soft robotic pinna for emulating dynamic reception behavior of horseshoe bats. Bioinspir Biomim 2020; 16:016016. [PMID: 32992296 DOI: 10.1088/1748-3190/abbc73] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 09/29/2020] [Indexed: 06/11/2023]
Abstract
Encoding of sensory information is fundamental to closing the performance gap between man-made and biological sensing. It has been hypothesized that the coupling of sensing and actuation, a phenomenon observed in bats among other species, is critical to accomplishing this. Using horseshoe bats as a model, we have developed a biomimetic pinna model with a soft actuation system along with a prototype strain sensor for enabling motor feedback. The actuation system used three individually controlled pneumatic actuators per pinna which actuated different portions of the baffle. This prototype produced eight different possible motions that were shown to have significant effects on incoming sound and could hence function as a substrate for adaptive sensing. The range of possible motions could be expanded by adjusting the fill and release parameters of the actuation system. Additionally, the strain sensor was able to represent the deformation of the pinna as measurements from this sensor were highly correlated with deformation estimates based on stereo vision. However, the relationship between displacements of points on the pinna and the sensor output was nonlinear. The improvements embodied in the system discussed here could lead to enhancements in the ability of autonomous systems to encode relevant information about the real world.
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Affiliation(s)
- Joseph Sutlive
- Program in Translational Biology and Health, Virginia Tech 1 Riverside Circle, Roanoke, VA, United States of America
| | - Agoshpreet Singh
- Department of Mechanical Engineering, Virginia Tech, 1075 Life Sciences Circle, Blacksburg, VA, 0917, United States of America
| | - Shuxin Zhang
- Department of Mechanical Engineering, Virginia Tech, 1075 Life Sciences Circle, Blacksburg, VA, 0917, United States of America
- Shandong University-Virginia Tech International Laboratory, School of Physics, Shandong University, Jinan 250100, People's Republic of China
| | - Rolf Müller
- Department of Mechanical Engineering, Virginia Tech, 1075 Life Sciences Circle, Blacksburg, VA, 0917, United States of America
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Abstract
Certain bat species (e.g. horseshoe bats, family Rhinolophidae) are known for conspicuous deformations of the emission baffles (noseleaves) and reception baffles (ears). Previously reported numerical studies and experiments with biomimetic reproductions of these baffles have shown that such deformations can result in time-variant emitter/receiver characteristics. However, it has not been investigated whether these time-variant characteristics could also manifest themselves in likewise time-variant properties in echoes from targets of varying complexity. To investigate this question, a biomimetic sonar head complete with deformable emission and reception baffles has been used to ensonify targets with different simple geometries (sphere, cylinder, and cube) as well as random, more natural target geometries (artificial plants) from distances of about 1 meter. Time-variant echo signatures were found in all these cases, i.e. irrespective of target complexity and whether the time-variance was injected into the emission, the reception, or into both. This demonstrates that although the time-variant emission/reception characteristics had been previously measured only under careful conditions, they are capable of impacting real-world echoes. Even targets with distributed clouds of scattering facets did not obscure the effects of the changing conformation states. Hence these changes in ear position created by baffle deformations could serve the animals or man-made sonar systems that mimic them to encode additional echo information through time-variant echo signatures.
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Affiliation(s)
- Joseph Sutlive
- Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, United States of America
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