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Cao J, Li H, Tang H, Gu X, Wang Y, Guan D, Du J, Fan Y. Stiff Extracellular Matrix Promotes Invasive Behaviors of Trophoblast Cells. Bioengineering (Basel) 2023; 10:bioengineering10030384. [PMID: 36978775 PMCID: PMC10045595 DOI: 10.3390/bioengineering10030384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/12/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
The effect of extracellular matrix (ECM) stiffness on embryonic trophoblast cells invasion during mammalian embryo implantation remains largely unknown. In this study, we investigated the effects of ECM stiffness on various aspects of human trophoblast cell behaviors during cell-ECM interactions. The mechanical microenvironment of the uterus was simulated by fabricating polyacrylamide (PA) hydrogels with different levels of stiffness. The human choriocarcinoma (JAR) cell lineage was used as the trophoblast model. We found that the spreading area of JAR cells, the formation of focal adhesions, and the polymerization of the F-actin cytoskeleton were all facilitated with increased ECM stiffness. Significantly, JAR cells also exhibited durotactic behavior on ECM with a gradient stiffness. Meanwhile, stiffness of the ECM affects the invasion of multicellular JAR spheroids. These results demonstrated that human trophoblast cells are mechanically sensitive, while the mechanical properties of the uterine microenvironment could play an important role in the implantation process.
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Affiliation(s)
- Jialing Cao
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Institute of Nanotechnology for Single Cell Analysis, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
- Sino-French Engineer School, Beihang University, Beijing 100083, China
| | - Hangyu Li
- State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
- School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongyan Tang
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Institute of Nanotechnology for Single Cell Analysis, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Xuenan Gu
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Institute of Nanotechnology for Single Cell Analysis, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Yan Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Dongshi Guan
- State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
- School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Du
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Institute of Nanotechnology for Single Cell Analysis, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Yubo Fan
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Institute of Nanotechnology for Single Cell Analysis, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
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2
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Laforgue L, Fertin A, Usson Y, Verdier C, Laurent VM. Efficient deformation mechanisms enable invasive cancer cells to migrate faster in 3D collagen networks. Sci Rep 2022; 12:7867. [PMID: 35550548 PMCID: PMC9098560 DOI: 10.1038/s41598-022-11581-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 04/19/2022] [Indexed: 12/12/2022] Open
Abstract
Cancer cell migration is a widely studied topic but has been very often limited to two dimensional motion on various substrates. Indeed, less is known about cancer cell migration in 3D fibrous-extracellular matrix (ECM) including variations of the microenvironment. Here we used 3D time lapse imaging on a confocal microscope and a phase correlation method to follow fiber deformations, as well as cell morphology and live actin distribution during the migration of cancer cells. Different collagen concentrations together with three bladder cancer cell lines were used to investigate the role of the metastatic potential on 3D cell migration characteristics. We found that grade-3 cells (T24 and J82) are characterized by a great diversity of shapes in comparison with grade-2 cells (RT112). Moreover, grade-3 cells with the highest metastatic potential (J82) showed the highest values of migration speeds and diffusivities at low collagen concentration and the greatest sensitivity to collagen concentration. Our results also suggested that the small shape fluctuations of J82 cells are the signature of larger migration velocities. Moreover, the displacement fields generated by J82 cells showed significantly higher fiber displacements as compared to T24 and RT112 cells, regardless of collagen concentration. The analysis of cell movements enhanced the fact that bladder cancer cells were able to exhibit different phenotypes (mesenchymal, amoeboid). Furthermore, the analysis of spatio-temporal migration mechanisms showed that cancer cells are able to push or pull on collagen fibers, therefore producing efficient local collagen deformations in the vicinity of cells. Our results also revealed that dense actin regions are correlated with the largest displacement fields, and this correlation is enhanced for the most invasive J82 cancer cells. Therefore this work opens up new routes to understand cancer cell migration in soft biological networks.
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Affiliation(s)
- Laure Laforgue
- Univ. Grenoble Alpes, CNRS, LIPhy, 38000, Grenoble, France.,Institute for Advanced Biosciences, INSERM U1209, CNRS UMR 5309, Univ. Grenoble Alpes, Grenoble, 38000, France
| | - Arnold Fertin
- Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000, Grenoble, France
| | - Yves Usson
- Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000, Grenoble, France
| | - Claude Verdier
- Univ. Grenoble Alpes, CNRS, LIPhy, 38000, Grenoble, France.
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3
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Rens EG, Merks RM. Cell Shape and Durotaxis Explained from Cell-Extracellular Matrix Forces and Focal Adhesion Dynamics. iScience 2020; 23:101488. [PMID: 32896767 PMCID: PMC7482025 DOI: 10.1016/j.isci.2020.101488] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 07/13/2020] [Accepted: 08/18/2020] [Indexed: 12/26/2022] Open
Abstract
Many cells are small and rounded on soft extracellular matrices (ECM), elongated on stiffer ECMs, and flattened on hard ECMs. Cells also migrate up stiffness gradients (durotaxis). Using a hybrid cellular Potts and finite-element model extended with ODE-based models of focal adhesion (FA) turnover, we show that the full range of cell shape and durotaxis can be explained in unison from dynamics of FAs, in contrast to previous mathematical models. In our 2D cell-shape model, FAs grow due to cell traction forces. Forces develop faster on stiff ECMs, causing FAs to stabilize and, consequently, cells to spread on stiff ECMs. If ECM stress further stabilizes FAs, cells elongate on substrates of intermediate stiffness. We show that durotaxis follows from the same set of assumptions. Our model contributes to the understanding of the basic responses of cells to ECM stiffness, paving the way for future modeling of more complex cell-ECM interactions.
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Affiliation(s)
- Elisabeth G. Rens
- Scientific Computing, CWI, Science Park 123, 1098 XG Amsterdam, the Netherlands
- Mathematics Department, University of British Columbia, Mathematics Road 1984, Vancouver, BC V6T 1Z2, Canada
| | - Roeland M.H. Merks
- Scientific Computing, CWI, Science Park 123, 1098 XG Amsterdam, the Netherlands
- Mathematical Institute, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, the Netherlands
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4
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Putra VDL, Jalilian I, Campbell M, Poole K, Whan R, Tomasetig F, Tate MLK. Mapping the Mechanome-A Protocol for Simultaneous Live Imaging and Quantitative Analysis of Cell Mechanoadaptation and Ingression. Bio Protoc 2019; 9:e3439. [PMID: 33654934 DOI: 10.21769/bioprotoc.3439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 10/28/2019] [Accepted: 11/22/2019] [Indexed: 11/02/2022] Open
Abstract
Mechanomics, the mechanics equivalent of genomics, is a burgeoning field studying mechanical modulation of stem cell behavior and lineage commitment. Analogous to mechanical testing of a living material as it adapts and evolves, mapping of the mechanome necessitates the development of new protocols to assess changes in structure and function in live stem cells as they adapt and differentiate. Previous techniques have relied on imaging of cellular structures in fixed cells and/or live cell imaging of single cells with separate studies of changes in mechanical and biological properties. Here we present two complementary protocols to study mechanobiology and mechanoadaptation of live stem cells in adherent and motile contexts. First, we developed and tested live imaging protocols for simultaneous visualization and tracking of actin and tubulin mechanoadaptation as well as shape and volume of cells and their nuclei in adherent model embryonic murine mesenchymal stem cells (C3H/10T1/2) and in a neuroblastoma cell line. Then we applied the protocol to enable quantitative study of primary human mesenchymal stem cells in a motile state, e.g., ingression in a three-dimensional, in vitro cell culture model. Together, these protocols enable study of emergent structural mechanoadaptation of the cell's own cytoskeletal machinery while tracking lineage commitment using phenotypic (quantitative morphology measures) and genotypic (e.g., reverse transcription Polymerase Chain Reaction, rtPCR) methods. These tools are expected to facilitate the mapping of the mechanome and incipient mechanistic understanding of stem cell mechanobiology, from the cellular to the tissue and organ length scales.
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Affiliation(s)
- Vina D L Putra
- MechBio Team, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia
| | - Iman Jalilian
- MechBio Team, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia.,Department of Cell Biology, Yale University, New Haven, USA
| | - Madeline Campbell
- MechBio Team, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia
| | - Kate Poole
- Cellular Mechanotransduction Group, EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Renee Whan
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Florence Tomasetig
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Melissa L Knothe Tate
- MechBio Team, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia
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Márquez S, Reig G, Concha M, Soto R. Cell migration driven by substrate deformation gradients. Phys Biol 2019; 16:066001. [PMID: 31394510 DOI: 10.1088/1478-3975/ab39c7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Identifying the cues followed by cells is key to understand processes as embryonic development, tissue homeostasis, or several pathological conditions. Based on a durotaxis model, it is shown that cells moving on predeformed thin elastic membrane follow the direction of increasing strain of the substrate. This mechanism, straintaxis, does not distinguish the origin of the strain, but the active stresses produce large strains on cells or tissues being used as substrates. Hence, straintaxis is the natural realization of duratoaxis in vivo. Considering a circular geometry for the substrate cells, it is shown that if the annular component of the active stress component increases with the radial distance, cells migrate toward the substrate cell borders. With appropriate estimation for the different parameters, the migration speeds are similar to those obtained in recent experiments (Reig et al 2017 Nat. Commun. 8 15431). In these, during the annual killifish epiboly, deep cells that move in contact with the epithelial enveloping cell layer (EVL), migrate toward the EVL cell borders with speeds of microns per minute.
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Affiliation(s)
- Susana Márquez
- Departamento de Física, FCFM, Universidad de Chile, Santiago, Chile
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6
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Yang HW, Liu XY, Shen ZF, Yao W, Gong XB, Huang HX, Ding GH. An investigation of the distribution and location of mast cells affected by the stiffness of substrates as a mechanical niche. Int J Biol Sci 2018; 14:1142-1152. [PMID: 29989093 PMCID: PMC6036734 DOI: 10.7150/ijbs.26738] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 06/04/2018] [Indexed: 12/27/2022] Open
Abstract
The distribution and location of mast cells are closely related to their physiological and pathological functions, such as allergic responses, immunity, and fibrosis, and are used in acupuncture. In this study, the distribution of mast cells in vivo was observed, and mechanical clues for understanding their distribution based on mechanical niches were explored. By toluidine blue staining and immunohistochemical staining, we examined the distribution and location of mast cells in rat skin and found that mast cells are distributed in a spatially nonuniform manner, preferring to locate at regions in the tissue and extracellular matrix with stiffness changes. In vitro experiments for studying the distribution of rat basophilic leukemia (RBL-2H3) mast cell line on poly-di-methyl-siloxane (PDMS) substrates with stiffness variations were performed. It was found that RBL-2H3 cells migrate and tend to remain in the areas with stiffness variations. The present research suggests that changing the stiffness of local tissues may stimulate mast cell recruitment, which may be the method by which some traditional Chinese medicine treatments, such as acupuncture. On the basis of the origin of mast cells and our experimental results, we predict that mast cells exist in tissues that contain permeable capillaries and prefer regions with stiffness changes. We discussed this prediction using examples of specific tissues from some cases.
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Affiliation(s)
- Hong-Wei Yang
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Xin-Yue Liu
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhou-Feng Shen
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Wei Yao
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Xiao-Bo Gong
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hua-Xiong Huang
- Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada, M3J 1P3
| | - Guang-Hong Ding
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
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7
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McKenzie AJ, Hicks SR, Svec KV, Naughton H, Edmunds ZL, Howe AK. The mechanical microenvironment regulates ovarian cancer cell morphology, migration, and spheroid disaggregation. Sci Rep 2018; 8:7228. [PMID: 29740072 PMCID: PMC5940803 DOI: 10.1038/s41598-018-25589-0] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 04/24/2018] [Indexed: 01/13/2023] Open
Abstract
There is growing appreciation of the importance of the mechanical properties of the tumor microenvironment on disease progression. However, the role of extracellular matrix (ECM) stiffness and cellular mechanotransduction in epithelial ovarian cancer (EOC) is largely unknown. Here, we investigated the effect of substrate rigidity on various aspects of SKOV3 human EOC cell morphology and migration. Young’s modulus values of normal mouse peritoneum, a principal target tissue for EOC metastasis, were determined by atomic force microscopy (AFM) and hydrogels were fabricated to mimic these values. We find that cell spreading, focal adhesion formation, myosin light chain phosphorylation, and cellular traction forces all increase on stiffer matrices. Substrate rigidity also positively regulates random cell migration and, importantly, directional increases in matrix tension promote SKOV3 cell durotaxis. Matrix rigidity also promotes nuclear translocation of YAP1, an oncogenic transcription factor associated with aggressive metastatic EOC. Furthermore, disaggregation of multicellular EOC spheroids, a behavior associated with dissemination and metastasis, is enhanced by matrix stiffness through a mechanotransduction pathway involving ROCK, actomyosin contractility, and FAK. Finally, this pattern of mechanosensitivity is maintained in highly metastatic SKOV3ip.1 cells. These results establish that the mechanical properties of the tumor microenvironment may play a role in EOC metastasis.
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Affiliation(s)
- Andrew J McKenzie
- University of Vermont Larner College of Medicine, Department of Pharmacology, and the University of Vermont Cancer Center, Burlington, United States
| | - Stephanie R Hicks
- University of Vermont Larner College of Medicine, Department of Pharmacology, and the University of Vermont Cancer Center, Burlington, United States
| | - Kathryn V Svec
- University of Vermont Larner College of Medicine, Department of Pharmacology, and the University of Vermont Cancer Center, Burlington, United States
| | - Hannah Naughton
- University of Vermont Larner College of Medicine, Department of Pharmacology, and the University of Vermont Cancer Center, Burlington, United States
| | - Zöe L Edmunds
- University of Vermont Larner College of Medicine, Department of Pharmacology, and the University of Vermont Cancer Center, Burlington, United States
| | - Alan K Howe
- University of Vermont Larner College of Medicine, Department of Pharmacology, and the University of Vermont Cancer Center, Burlington, United States.
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8
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Sapudom J, Pompe T. Biomimetic tumor microenvironments based on collagen matrices. Biomater Sci 2018; 6:2009-2024. [DOI: 10.1039/c8bm00303c] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
This review provides an overview of the current approaches to engineer defined 3D matrices for the investigation of tumor cell behaviorin vitro, with a focus on collagen-based fibrillar systems.
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Affiliation(s)
- Jiranuwat Sapudom
- Biophysical Chemistry Group
- Institute of Biochemistry
- Faculty of Life Sciences
- Leipzig University
- Leipzig 04103
| | - Tilo Pompe
- Biophysical Chemistry Group
- Institute of Biochemistry
- Faculty of Life Sciences
- Leipzig University
- Leipzig 04103
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9
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Salazar Botero S, Elizondo Moreno JD, Séverac F, Bahlouli N, Jmal H, Liverneaux PA, Facca S. Mechanical characterization of digital collateral nerves: a cadaver study. Comput Methods Biomech Biomed Engin 2017; 20:183-184. [PMID: 29088590 DOI: 10.1080/10255842.2017.1382923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- S Salazar Botero
- a Department of Hand Surgery, SOS main, CCOM , University Hospital of Strasbourg , Illkirch , France.,b Laboratory ICube, CNRS, UMR 7357 , University of Strasbourg , Strasbourg , France
| | - J D Elizondo Moreno
- b Laboratory ICube, CNRS, UMR 7357 , University of Strasbourg , Strasbourg , France
| | - F Séverac
- c Department of Public health , University Hospital of Strasbourg , Strasbourg , France
| | - N Bahlouli
- b Laboratory ICube, CNRS, UMR 7357 , University of Strasbourg , Strasbourg , France
| | - H Jmal
- b Laboratory ICube, CNRS, UMR 7357 , University of Strasbourg , Strasbourg , France
| | - P A Liverneaux
- a Department of Hand Surgery, SOS main, CCOM , University Hospital of Strasbourg , Illkirch , France.,b Laboratory ICube, CNRS, UMR 7357 , University of Strasbourg , Strasbourg , France
| | - S Facca
- a Department of Hand Surgery, SOS main, CCOM , University Hospital of Strasbourg , Illkirch , France.,b Laboratory ICube, CNRS, UMR 7357 , University of Strasbourg , Strasbourg , France
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10
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Solanki HS, Babu N, Jain AP, Bhat MY, Puttamallesh VN, Advani J, Raja R, Mangalaparthi KK, Kumar MM, Prasad TSK, Mathur PP, Sidransky D, Gowda H, Chatterjee A. Cigarette smoke induces mitochondrial metabolic reprogramming in lung cells. Mitochondrion 2017; 40:58-70. [PMID: 29042306 DOI: 10.1016/j.mito.2017.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 09/18/2017] [Accepted: 10/06/2017] [Indexed: 01/01/2023]
Abstract
Cellular transformation owing to cigarette smoking is due to chronic exposure and not acute. However, systematic studies to understand the molecular alterations in lung cells due to cigarette smoke are lacking. To understand these molecular alterations induced by chronic cigarette smoke exposure, we carried out tandem mass tag (TMT) based temporal proteomic profiling of lung cells exposed to cigarette smoke for upto 12months. We identified 2620 proteins in total, of which 671 proteins were differentially expressed (1.5-fold) after 12months of exposure. Prolonged exposure of lung cells to smoke for 12months revealed dysregulation of oxidative phosphorylation and overexpression of enzymes involved in TCA cycle. In addition, we also observed overexpression of enzymes involved in glutamine metabolism, fatty acid degradation and lactate synthesis. This could possibly explain the availability of alternative source of carbon to TCA cycle apart from glycolytic pyruvate. Our data indicates that chronic exposure to cigarette smoke induces mitochondrial metabolic reprogramming in cells to support growth and survival.
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Affiliation(s)
- Hitendra S Solanki
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Niraj Babu
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; Manipal University, Madhav Nagar, Manipal 576104, India
| | - Ankit P Jain
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Mohd Younis Bhat
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; Amrita School of Biotechnology, Amrita University, Kollam 690 525, India
| | - Vinuth N Puttamallesh
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; Amrita School of Biotechnology, Amrita University, Kollam 690 525, India
| | - Jayshree Advani
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; Manipal University, Madhav Nagar, Manipal 576104, India
| | - Remya Raja
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India
| | - Kiran K Mangalaparthi
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; Amrita School of Biotechnology, Amrita University, Kollam 690 525, India
| | - Mahesh M Kumar
- Department of Neuro-Virology, National Institute of Mental Health and Neurosciences, Bangalore 560029, India
| | - T S Keshava Prasad
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India; NIMHANS-IOB Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore 560029, India; YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore 575018, India
| | | | - David Sidransky
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Harsha Gowda
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India.
| | - Aditi Chatterjee
- Institute of Bioinformatics, International Tech Park, Bangalore 560 066, India.
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11
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Sapudom J, Rubner S, Martin S, Pompe T. Mimicking Tissue Boundaries by Sharp Multiparameter Matrix Interfaces. Adv Healthc Mater 2016; 5:1861-7. [PMID: 27125887 DOI: 10.1002/adhm.201600295] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Indexed: 12/30/2022]
Abstract
Engineering interfaces of distinct extracellular compartments mimicking native tissues are key for in-depth in vitro studies on developmental and disease processes in biology and medicine. Sharp interfaces of extracellular matrices are constructed based on fibrillar collagen I networks with a multiparameter control of topology, mechanics, and composition, and their distinct impact on triggering the directionality of cancer cell migration is demonstrated.
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Affiliation(s)
- Jiranuwat Sapudom
- Institute of Biochemistry; Universität Leipzig; 04103 Leipzig Germany
| | - Stefan Rubner
- Institute of Biochemistry; Universität Leipzig; 04103 Leipzig Germany
| | - Steve Martin
- Institute of Biochemistry; Universität Leipzig; 04103 Leipzig Germany
| | - Tilo Pompe
- Institute of Biochemistry; Universität Leipzig; 04103 Leipzig Germany
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