Motion control of protozoa for bio-MEMS

Itoh, Akitoshi

doi:10.1109/3516.847091

Cited by 57 publications

(30 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In tissue engineering, cell proliferation on scaffolds can be controlled by the application of such fields [Meng et al, ]. The potential control of cells to serve as micromanipulators or actuators in micromachining processes by these electric fields has been investigated [Itoh, ]. Although a wide variety of biochemical pathways within the cell following the initial detection of the field have been studied [Pullar et al, ], questions still remain regarding the mechanisms by which cells detect the field.…”

Section: Introductionmentioning

confidence: 99%

Glycocalyx bending by an electric field increases cell motility

Hart

Palisano

2017

Bioelectromagnetics

View full text Add to dashboard Cite

The application of physiological strength electric fields may produce a wide range of effects on cells. The mechanisms by which cells detect the presence of these fields, however, are not fully understood. Previous experiments have shown that directionality of cells in the field is governed by an electromechanical mechanism in which the field exerts a torque on the negatively charged, inner glycocalyx that is then transmitted as a force on the cytoskeleton. This mechanism is similar to that by which cells detect fluid shear forces. Several authors, however, have reported that cell directionality and motility behave differently in an electric field. We propose here a second electromechanical mechanism in which the field bends the negatively charged, outer glycocalyx in proximity to the substrate, increasing cell adhesion and, thus, cell motility. The increase in motility depends not only on the field strength, but also on the adhesion of the cell to the substrate prior to application of the field. We show that these mechanisms are common to both human cells and amoebae and, hence, are evolutionarily conserved. Furthermore, the mechanism for detection of electric fields is simply an extension of the mechanism for detecting fluid shears. Bioelectromagnetics. 38:482-493, 2017. © 2017 Wiley Periodicals, Inc.

show abstract

Section: Introductionmentioning

confidence: 99%

Glycocalyx bending by an electric field increases cell motility

Hart

Palisano

2017

Bioelectromagnetics

View full text Add to dashboard Cite

show abstract

“…Biofouling of filter membranes (4,5), tissue compatibility of surgical implants (6,7), and cellular interfacing with semiconductor materials (8,9,10,11) are just some of the areas of study where biology and synthetic materials and devices are melding. In particular, the developing area of biological materials interfaced with micro-electromechanical systems (MEMS), or BioMEMS (12,13), has brought on considerable interest in how cells and other biological materials interface with semiconductor materials. Spontaneous adhesion of proteins and cells occur at the semiconductor surface through non-specific as well as specific interactions.…”

Section: Introductionmentioning

confidence: 99%

Protein Adhesion on SAM Coated Semiconductor Wafers: Hydrophobic versus Hydrophilic Surfaces

Follstaedt¹,

Cheung²,

Gourley³

et al. 2000

View full text Add to dashboard Cite

The interface of biology and semiconductor materials has become an important topic of interest as researchers are merging living organisms with microelectromechanical systems (MEMS) in the pursuit of new microfabricated biomedical devices. Biological cells interface with the semiconductor surface through a host of interactions that are mediated by protein adhesion and film formation. To better understand this interface, we have conducted protein adsorption studies of a model system using bovine serum albumin (BSA) and compared it to the adsorption from a complex protein mixture of cell growth serum on uncoated and self-assembled monolayer (SAM) coated silicon wafers. Several characterization techniques -AFM, ellipsometry, water contact angle, and fluorescence microscopy -were used to evaluate the protein-adsorbed layer. An uncoated silicon surface was most attractive to proteins, forming a 70 Å thick film from a solution of BSA at a concentration comparable to that in cell growth serum. Coating with the hydrophobic octadecyltrimethoxysilane (OTMS) SAM reduced protein adhesion by ~15%. In contrast, a hydrophilic N-(triethoxysilylpropyl)-O-polyethyleneoxide urethane (TESP) SAM inhibited protein adhesion by greater than 50%. Protein adhesion studies with cell growth sera containing complex mixtures of proteins paralleled the BSA adsorption studies, clearly identifying the TESP coated surface as a promising biocompatible coating.4

show abstract

“…The above studies indicate the possibility for finely geared neuronal controls and engineering of unicellular micro-machineries. In fact, the galvanotactic responsiveness observed in Paramecium species (particularly P. caudatum ) has attracted the attention of bioengineers in the fields of biorobotics, microrobotics or BioMEMS (biological micro-electro-mechanical systems) in order to develop electrically controllable micro-machineries 45 - 47 . Furukawa and his colleagues have suggested that in vivo cellular robotics using the cells of green paramecia as micro-machines controllable under electrical and optical stimuli, has a variety of engineering applications such as transport of micro-sized particles in the capillary systems 48 , 49 .…”

Section: In Vivo Cellular Computing and Plantoidsmentioning

confidence: 99%

Finding and defining the natural automata acting in living plants: Toward the synthetic biology for robotics and informatics in vivo

Kawano

Bouteau

Mancuso

2012

Communicative & Integrative Biology

View full text Add to dashboard Cite

The automata theory is the mathematical study of abstract machines commonly studied in the theoretical computer science and highly interdisciplinary fields that combine the natural sciences and the theoretical computer science. In the present review article, as the chemical and biological basis for natural computing or informatics, some plants, plant cells or plant-derived molecules involved in signaling are listed and classified as natural sequential machines (namely, the Mealy machines or Moore machines) or finite state automata. By defining the actions (states and transition functions) of these natural automata, the similarity between the computational data processing and plant decision-making processes became obvious. Finally, their putative roles as the parts for plant-based computing or robotic systems are discussed.

show abstract

Motion control of protozoa for bio-MEMS

Cited by 57 publications

References 6 publications

Glycocalyx bending by an electric field increases cell motility

Glycocalyx bending by an electric field increases cell motility

Protein Adhesion on SAM Coated Semiconductor Wafers: Hydrophobic versus Hydrophilic Surfaces

Finding and defining the natural automata acting in living plants: Toward the synthetic biology for robotics and informatics in vivo

Contact Info

Product

Resources

About