Chapter 12 - Microfluidics for mechanobiology of model organisms

https://doi.org/10.1016/bs.mcb.2018.05.010Get rights and content

Abstract

Mechanical stimuli play a critical role in organ development, tissue homeostasis, and disease. Understanding how mechanical signals are processed in multicellular model systems is critical for connecting cellular processes to tissue- and organism-level responses. However, progress in the field that studies these phenomena, mechanobiology, has been limited by lack of appropriate experimental techniques for applying repeatable mechanical stimuli to intact organs and model organisms. Microfluidic platforms, a subgroup of microsystems that use liquid flow for manipulation of objects, are a promising tool for studying mechanobiology of small model organisms due to their size scale and ease of customization.

In this work, we describe design considerations involved in developing a microfluidic device for studying mechanobiology. Then, focusing on worms, fruit flies, and zebrafish, we review current microfluidic platforms for mechanobiology of multicellular model organisms and their tissues and highlight research opportunities in this developing field.

Introduction

This chapter discusses the current state and future opportunities in the field of microfluidics for mechanobiological studies of multicellular model organisms. We define the concept of mechanobiology and describe several model organisms and their advantages for mechanobiological studies. We discuss how microfluidic platforms could be used to manipulate and apply repeatable stimuli, examine design considerations for devices, and review prior work on microfluidics for mechanobiology of model organisms and their tissues. We hope this chapter will be helpful for engineers interested in developing tools for model organisms, and for biologists interested in learning how microfluidic technologies can benefit their research goals.

Section snippets

Mechanobiology

Research in medicine and biology has largely focused on the biochemical nature of development, homeostasis, and disease, resulting in transformative insights Broderick et al., 2014, Ellis and Horvitz, 1986, Fire et al., 1998, Kok et al., 2015, Nüsslein-Volhard and Wieschaus, 1980, Walther et al., 2015. However, mechanical signaling also plays crucial roles in these processes Janmey and Miller, 2011, Thompson, 1942, Vining and Mooney, 2017, including tissue patterning in development Bardet et

Multicellular Model Organisms

Model organisms are widely-studied nonhuman systems in biological research, ranging from simple single cells (e.g., Escherichia coli) to animals like mice. Selection of a model organism is dictated by the complexity required to address the research question and the convenience of the experiment. For investigations of responses to mechanical stimuli in the context of differentiated and distinct organs, higher-order multicellular organisms provide an attractive platform. Caenorhabditis elegans

Design Considerations for Microfluidics

The development of microfluidic devices began by taking advantage of fluid motion physics in the laminar flow regime (Whitesides, 2006). Devices capable of complex reactions that involve mixing and multiplexing were designed for chemical synthesis Elvira et al., 2013, Hung et al., 2006, Lignos et al., 2016 and micro total analysis Auroux et al., 2004, Heiland et al., 2017, Jia et al., 2016.

Microfluidic devices for research involving biological cells soon followed (Chiu et al., 2017), because,

Microfluidics for Mechanobiology of Model Organisms

Many of the design considerations discussed above apply to designing new microfluidic devices for mechanobiology as well as to adapting existing devices for studying other model organisms. Prior work can inform future developments in this field, so reviewing existing devices is an important part of the process for designing new ones. To this end, this section focuses on existing microfluidic platforms for mechanobiological studies, as defined above (Fig. 1). Many microfluidic devices have been

Conclusion

Microfluidic technologies are opening doors to mechanobiological studies of multicellular model organisms and their tissues. Worms, fruit flies, and zebrafish are excellent candidates for mechanobiological study in microfluidics because they share fundamental characteristics with more complex organisms, are amenable to genetic techniques, can be cultivated in the lab with relative simplicity, and have the proper size to fit in microfluidics. Further integration of mechanical actuation into

Acknowledgments

We thank Dave Wallace for assistance with graphics and Sandra N. Manosalvas-Kjono, Purim Ladpli, and Farah Memon for helpful discussions. This work was supported in part by the National Institutes of Health under grants R01EB006745, R01GM116000, R01NS047715, R21HL13099301, and F31NS100318, National Science Foundation under grants EFRI MIKS 1136790 and CMMI 166243, Stanford Bio-X IIP, a gift from the G. Harold & Leila Y. Mathers Foundation, and fellowships from the Swedish Research Council (VR)

References (209)

  • A.J. Engler et al.

    Matrix elasticity directs stem cell lineage specification

    Cell

    (2006)
  • J.C. Fehrenbacher

    Chemotherapy-induced peripheral neuropathy

  • J.E. Fleming et al.

    Role of oxidative stress in Drosophila aging

    Mutation Research/DNAging

    (1992)
  • M. Gemberling et al.

    The zebrafish as a model for complex tissue regeneration

    Trends in Genetics

    (2013)
  • G.A. Gomez et al.

    Productive tension: Force-sensing and homeostasis of cell-cell junctions

    Trends in Cell Biology

    (2011)
  • J. Guck et al.

    Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence

    Biophysical Journal

    (2005)
  • S. Halldorsson et al.

    Advantages and challenges of microfluidic cell culture in polydimethylsiloxane devices

    Biosensors and Bioelectronics

    (2015)
  • Y. He et al.

    Studying aging in Drosophila

    Methods (San Diego, Calif.)

    (2014)
  • C.-P. Heisenberg et al.

    Forces in tissue morphogenesis and patterning

    Cell

    (2013)
  • S. Huang et al.

    Cell tension, matrix mechanics, and cancer development

    Cancer Cell

    (2005)
  • S. Aarabi et al.

    Mechanical load initiates hypertrophic scar formation through decreased cellular apoptosis

    The FASEB Journal

    (2007)
  • C.G. Agudelo et al.

    TipChip: A modular, MEMS-based platform for experimentation and phenotyping of tip-growing cells

    Plant Journal

    (2013)
  • J. Akagi et al.

    Miniaturized embryo array for automated trapping, immobilization and microperfusion of zebrafish embryos

    PLoS ONE

    (2012)
  • T. Ando et al.

    High-Speed AFM and applications to biomolecular systems

    Annual Review of Biophysics

    (2013)
  • R.W. Applegate et al.

    Optical trapping, manipulation, and sorting of cells and colloids in microfluidic systems with diode laser bars

    Optics Express

    (2004)
  • Aristotle

    On the soul

    Great Books of the Western World

    (1990)
  • P.-A. Auroux et al.

    Miniaturised nucleic acid analysis

    Lab on a Chip

    (2004)
  • K.N. Badhiwala et al.

    Microfluidics for electrophysiology, imaging, and behavioral analysis of hydra

    bioRxiv

    (2018)
  • N.A. Bakhtina et al.

    Microfluidic laboratories for C. elegans enhance fundamental studies in biology

    RSC Advances

    (2014)
  • G. Binnig et al.

    Atomic force microscope

    Physical Review Letters

    (1986)
  • S. Brenner

    The genetics of Caenorhabditis elegans

    Genetics

    (1974)
  • N.A. Broderick et al.

    Microbiota-induced changes in Drosophila melanogaster host gene expression and gut morphology

    mBio

    (2014)
  • R.A. Brown et al.

    Tensional homeostasis in dermal fibroblasts: Mechanical responses to mechanical loading in three-dimensional substrates

    Journal of Cellular Physiology

    (1998)
  • S.M. Cahalan et al.

    Piezo1 links mechanical forces to red blood cell volume

    eLife

    (2015)
  • L. Cannon et al.

    Expression patterns of cardiac aging in Drosophila

    Aging Cell

    (2017)
  • D. Carter et al.

    Bone compressive strength: The influence of density and strain rate

    Science

    (1976)
  • D.R. Carter et al.

    Mechanobiology of skeletal regeneration

    Clinical Orthopaedics and Related Research

    (1998)
  • M. Chalfie et al.

    The neural circuit for touch sensitivity in Caenorhabditis elegans

    The Journal of Neuroscience

    (1985)
  • M. Chalfie et al.

    Green fluorescent protein as a marker for gene expression

    Science

    (1994)
  • J. Chan et al.

    Dissection of cardiovascular development and disease pathways in zebrafish

    (2011)
  • M. Chatzigeorgiou et al.

    Specific roles for DEG/ENaC and TRP channels in touch and thermosensation in C. elegans nociceptors

    Nature Neuroscience

    (2010)
  • A.R. Chaudhury et al.

    On chip cryo-anesthesia of Drosophila larvae for high resolution in vivo imaging applications

    Lab on a Chip

    (2017)
  • C.-Y. Chen et al.

    Influences of textured substrates on the heart rate of developing zebrafish embryos

    Nanotechnology

    (2013)
  • T.-W. Chen et al.

    Ultrasensitive fluorescent proteins for imaging neuronal activity

    Nature

    (2013)
  • Y. Cho et al.

    On-chip functional neuroimaging with mechanical stimulation in Caenorhabditis elegans larvae for studying development and neural circuits

    Lab on a Chip

    (2018)
  • Y. Cho et al.

    Automated and controlled mechanical stimulation and functional imaging in vivo in C. elegans

    Lab on a Chip

    (2017)
  • T.V. Chokshi et al.

    CO2 and compressive immobilization of C. elegans on-chip

    Lab on a Chip

    (2009)
  • M.A. Choma et al.

    Images in cardiovascular medicine: In vivo imaging of the adult Drosophila melanogaster heart with real-time optical coherence tomography

    Circulation

    (2006)
  • M.A. Choma et al.

    Physiological homology between Drosophila melanogaster and vertebrate cardiovascular systems

    Disease Models & Mechanisms

    (2011)
  • D. Choudhury et al.

    Fish and Chips: A microfluidic perfusion platform for monitoring zebrafish development

    Lab on a Chip

    (2012)
  • Cited by (10)

    • A paradigm shift: Bioengineering meets mechanobiology towards overcoming remyelination failure

      2022, Biomaterials
      Citation Excerpt :

      Within simpler organisms, the fruit fly (Drosophila melanogaster), zebrafish (Danio rerio) and frog (Xenopus laevis, Xenopus tropicalis) have attracted the attention of some researchers, mostly due to the relatively high level of conservation of molecular mechanisms between humans and these models [56–59], coupled with the existence of well-established toolboxes for genetic manipulation [60–62]. In addition, these models are very cost-effective, require low-maintenance, have short generation time, are highly compatible with well disseminated microscopy-based techniques and can have the potential to be used in high-throughput (HT) studies [63]. For mechanobiology studies, these organisms are peculiarly interesting due to their optical transparency during the pro-regenerative stages.

    • Advanced mechanotherapy: Biotensegrity for governing metastatic tumor cell fate via modulating the extracellular matrix

      2021, Journal of Controlled Release
      Citation Excerpt :

      Recently, animal samples have still deemed as the gold standard. Tough, regulating the tumor microenvironment in mouse samples is intrinsically challenging because of the intricacy, with shortage of devices letting perfect detection of tumorous factors such as the mechanical properties of the ECM [260]. The alternative traditional cell culture methods provide a basic system, which lack the intricacy found in the tumor.

    • A dual-stimulation strategy in a micro-chip for the investigation of mechanical associative learning behavior of C. elegans

      2020, Talanta
      Citation Excerpt :

      CS used in the establish of associative learning paradigms is originally neural stimuli, including olfactory [2–4], gustatory [5–7], auditory [8,9], spatial-sensory [10–12], temperature-sensory [13,14], and mechano-sensory stimuli [15,16], etc. Touch-sensation is one of the most fundamental abilities of an organism to cope with mechanical stimuli [17]. Multicellular organisms develop the ability to distinguish whether mechano-stimulus information is useful or harmful based on their past learning experience, allowing them to convert the mechanical stimulus signals into corresponding behavioral changes.

    View all citing articles on Scopus
    2

    Shared first author.

    View full text