A novel method for sensor-based quantification of single/multicellular force dynamics and stiffening in 3D matrices

被引:9
|
作者
Emon, Bashar [1 ]
Li, Zhengwei [1 ]
Joy, Md Saddam H. [1 ]
Doha, Umnia [1 ]
Kosari, Farhad [2 ]
Saif, M. Taher A. [1 ]
机构
[1] Univ Illinois, Dept Mech Sci & Engn, Urbana, IL 61801 USA
[2] Mayo Clin, Dept Mol Med, Rochester, MN USA
关键词
63;
D O I
10.1126/sciadv.abf2629
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cells in vivo generate mechanical traction on the surrounding 3D extracellular matrix (ECM) and neighboring cells. Such traction and biochemical cues may remodel the matrix, e.g., increase stiffness, which, in turn, influences cell functions and forces. This dynamic reciprocity mediates development and tumorigenesis. Currently, there is no method available to directly quantify single-cell forces and matrix remodeling in 3D. Here, we introduce a method to fulfill this long-standing need. We developed a high-resolution microfabricated sensor that hosts a 3D cell-ECM tissue formed by self-assembly. This sensor measures cell forces and tissue stiffness and can apply mechanical stimulation to the tissue. We measured single and multicellular force dynamics of fibroblasts (3T3), human colon (FET) and lung (A549) cancer cells, and cancer-associated fibroblasts (CAF05) with 1-nN resolution. Single cells show notable force fluctuations in 3D. FET/CAF coculture system, mimicking cancer tumor microenvironment, increased tissue stiffness by three times within 24 hours.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Quantification of inertial sensor-based 3D joint angle measurement accuracy using an instrumented gimbal
    Brennan, A.
    Zhang, J.
    Deluzio, K.
    Li, Q.
    [J]. GAIT & POSTURE, 2011, 34 (03) : 320 - 323
  • [2] 3D Sensor-Based UAV Localization for Bridge Inspection
    Kakillioglu, Burak
    Wang, Jiyang
    Velipasalar, Senem
    Janani, Alireza
    Koch, Edward
    [J]. CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 1926 - 1930
  • [3] Comparison of a noninvasive 3D force sensor-based method and the invasive arterial cannula in postsurgery intensive care patients: a pilot study
    Foldi, Sandor
    Horvath, Tamas
    Zieger, Flora
    Sotonyi, Peter
    Cserey, Gyorgy
    [J]. BLOOD PRESSURE MONITORING, 2019, 24 (06) : 310 - 314
  • [4] Biomechanical Ambulatory Assessment of 3D Knee Angle Using Novel Inertial Sensor-Based Technique
    Tham, Lai Kuan
    Abu Osman, Noor Azuan
    Al Kouzbary, Mouaz
    Aminian, Kamiar
    [J]. IEEE ACCESS, 2021, 9 : 36559 - 36570
  • [5] A structured-light 3D sensor-based shape measurement method for casting allowance evaluation
    Luo, Hua
    Zhang, Ke
    Li, Ruifeng
    Xia, Yu
    Liang, Peidong
    [J]. FRONTIERS IN PHYSICS, 2022, 10
  • [6] 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids
    Cheung, Brian C. H.
    Abbed, Rana J.
    Wu, Mingming
    Leggett, Susan E.
    [J]. ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, 2024, 26 : 93 - 118
  • [7] Novel 3D ECT sensor and its 3D image reconstruction method
    Chen, Deyun
    Gao, Ming
    Song, Lei
    Lin, Jianan
    Yu, Xiaoyang
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2014, 35 (05): : 961 - 968
  • [8] High-Integrity Navigation for Sensor-Based 3D World Modeling
    Gavrilets, Vladislav
    Boggs, Chris
    Taylor, Max
    [J]. SITUATION AWARENESS IN DEGRADED ENVIRONMENTS 2019, 2019, 11019
  • [9] Sensor-based filament fabrication with embedded RFID microchips for 3D printing
    Pekgor, Metin
    Nikzad, Mostafa
    Arablouei, Reza
    Masood, Syed
    [J]. MATERIALS TODAY-PROCEEDINGS, 2021, 46 : 124 - 130
  • [10] 3D sensor-based Moving Human Tracking Robot with Obstacle Avoidance
    Ahmad, Abdel-Mehsen
    Al Youssef, Hiba
    [J]. 2016 IEEE INTERNATIONAL MULTIDISCIPLINARY CONFERENCE ON ENGINEERING TECHNOLOGY (IMCET), 2016, : 9 - 14