Literature DB >> 32598396

Local stimulation of osteocytes using a magnetically actuated oscillating beam.

Onaizah Onaizah1, Liangcheng Xu2, Kevin Middleton2, Lidan You1,2, Eric Diller1.   

Abstract

Mechanical loading on bone tissue is an important physiological stimulus that plays a key role in bone growth, fracture repair, and treatment of bone diseases. Osteocytes (bone cells embedded in bone matrix) are well accepted as the sensor cells to mechanical loading and play a critical role in regulating the bone structure in response to mechanical loading. To understand the response of osteocytes to differential mechanical stimulation in physiologically relevant arrangements, there is a need for a platform which can locally stimulate bone cells with different levels of fluid shear stress. In this study, we developed a device aiming to achieve non-contact local mechanical stimulation of osteocytes with a magnetically actuated beam that generates the fluid shear stresses encountered in vivo. The stimulating beam was made from a composite of magnetic powder and polymer, where a magnetic field was used to precisely oscillate the beam in the horizontal plane. The beam is placed above a cell-seeded surface with an estimated gap height of 5 μm. Finite element simulations were performed to quantify the shear stress values and to generate a shear stress map in the region of interest. Osteocytes were seeded on the device and were stimulated while their intracellular calcium responses were quantified and correlated with their position and local shear stress value. We observed that cells closer to the oscillating beam respond earlier compared to cells further away from the local shear stress gradient generated by the oscillating beam. We have demonstrated the capability of our device to mimic the propagation of calcium signalling to osteocytes outside of the stimulatory region. This device will allow for future studies of osteocyte network signalling with a physiologically accurate localized shear stress gradient.

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Year:  2020        PMID: 32598396      PMCID: PMC7323988          DOI: 10.1371/journal.pone.0235366

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Mechanotransduction is an important process for basic cell functions, affecting key cellular mechanisms such as protein signalling and DNA transcription. Physical cues act as fundamental inputs to mechanotransduction, ranging from mechanical stimulation of the cell surface to unique physical properties embedded in the surrounding extracellular matrix [1,2]. Although observed in a variety of organ systems, these physical cues are most prominent in load-bearing tissues such as the bone. In bone tissue, osteocytes, the major mechano-sensory cells, are embedded within the lacunar-canalicular network exposing them to high levels of fluid shear stress upon bone tissue compression [3]. This mechanical stimulus is important for bone tissue function, as it activates key signalling pathways that regulate the bone remodelling process [4,5]. Osteocytes seeded within in vitro fluid flow systems have demonstrated their sensitivity to different levels of fluid shear stress [6-8]. However, current typical in vitro systems rely on macro-scale devices that stimulate a monolayer cell culture with uniform shear stress, in contrast with the pockets of shear stress gradients experienced by osteocytes in the lacuna-canaliculi network [9,10]. The rise of microfluidic systems has filled this gap by introducing cell culturing platforms with dimensions closer to that of the lacunar-canalicular network, therefore demanding development of newer fluid stimulation mechanisms beyond traditional parallel flow chambers to mimic more physiologically accurate mechanical stimulation of osteocytes. One of the early stage cell response to flow in the form of intracellular calcium fluctuations have been successfully detected from both osteocytes cultured using in vitro fluid flow systems [11-13], as well as in vivo models [14-16]. These calcium flux were measured with either the average response from a population of osteocytes or the single-cell calcium fluctuation pattern. However, it is still very difficult to differentiate the cellular responses that result from intercellular signalling transport from mechanically stimulated cells. Both in vitro experiments using patterned cell networks [17] and ex vivo studies using bone tissue [18] have demonstrated the key role calcium fluctuations play in propagation of signals between mechanically stimulated and non-stimulated osteocytes; however these studies rely on membrane disturbance and tissue strain as the mechanical stimulus, lacking the capability to study how fluid shear stress influences this type of signal propagation. Existing tools such as atomic force microscopy (AFM) can only provide point-force membrane disturbances to the cell and lack the capability to generate localized fluid shear stress representative of the different levels of shear stress experienced by osteocytes within the lacuna-canaliculi network. Hence there is a need for the development of a platform to locally stimulate a selected region of osteocyte culture with a shear stress gradient to measure the varying response of osteocytes to mechanical stimulation, as well as response from intracellular signalling to non-stimulated cells. While local stimulation of cells has been attempted in the past [19], no study has attempted to quantify the shear stress gradient that can be generated through local non-contact cell manipulation. Contact cell manipulation involves direct physical contact between the cell wall and external tools or forces whereas non-contact cell manipulation is the indirect manipulation of cells through remote actuation methods such as magnetic fields [20], acoustics [21-23], fluid forces [24,25], and dielectrophoresis [26-28]. Contact manipulation allows for precise control of single cells using techniques such as optics or optical tweezers [29-31], magnetic fields [32-34] or bio-actuation [35,36]. These techniques can be embedded into a microfluidic chip and allow for cutting, injecting and stimulation of individual cells with a high degree of selectivity and accuracy [37-39]. Non-contact cell manipulation has the capability to manipulate a larger number of cells in a multitude of environments but loses some of the accuracy and specificity of contact manipulation. They are, however, less likely to damage cells as a result. Magnetically actuated microrobotic tools have been used in the past for cell manipulation tasks such as transportation [20,40] or proposed for other biomedical applications [41]. This study aims to design a platform which can enable local cell mechanical stimulation by fluid shear stress in a targeted region. A magnetically-actuated beam is placed above adherent MLO-Y4 osteocyte-like cells and oscillated at a frequency of 1 Hz in order to apply fluid shear stresses to the cells. The shear stress is localized to the region surrounding the beam, while cells further away from the stimulated region experience minimal shear stress. Finite element simulations are performed in order to quantify the shear stress values that can be generated by the oscillating magnetic beam. An experimental protocol is established with a specifically designed coil system and driving electronics integrated into an optical inverted microscope. Live imaging of intra-cellular calcium fluctuations is used to quantify cell response during magnetic actuation. A shear stress map is plotted along with the locations of all stimulated cells in order to illustrate the working principles of the device and to understand how future studies with local cell stimulation can be performed more reliably.

Methods

a) Design and fabrication

Local stimulation of cells is achieved through the placement of a magnetically-actuated flexible beam above the adherent cell surface, which can generate localized shear stress regions [42]. The beam is manufactured as a flexible polymer with magnetic material embedded inside. It consists of a mixture of polydimethylsiloxane (PDMS, Sylgard 184, Dow Corning) which comes in two parts with a polymer base and curing agent that are combined in a 10:1 ratio by mass. This mixture is then combined with permanent magnetic particles (MQFP-15-7, NdPrFeB, Magnequench) in a 1:1 mass ratio. This mixture is poured into a negative mold of the beam that was created using photolithography. The excess is scraped off with a razor blade. This mixture is fully cured on an 85°C hot plate for 4 hours and the beam is subsequently removed from the mold using a needle. After the beam has been removed, the magnetic particles inside the beam are magnetized before assembly by placing the beam in a uniform magnetic field of 1.1 T created by two permanent magnets (1-inch cube, NdFeB, N40, Magnet4US) placed 3 mm apart (Fig 1).
Fig 1

The fabrication process for the magnetically-actuated beam.

a) a negative mold for the beam is created via photolithography, b) A mixture of PDMS with magnetic particles is cured in the mold with any excess removed via a razor blade, c) the beam is removed after curing and magnetized in a large magnetic field generated by two permanent magnets, d) the magnetic beam is then glued to a glass slide using liquid PDMS and tape as a spacer and again cured, e) the final device when the spacer is removed after the device has been fully cured. f) Experiment demonstrating that the magnetic mixture has no effect on cell death compared to conventional plastic cultureware. N = 3.

The fabrication process for the magnetically-actuated beam.

a) a negative mold for the beam is created via photolithography, b) A mixture of PDMS with magnetic particles is cured in the mold with any excess removed via a razor blade, c) the beam is removed after curing and magnetized in a large magnetic field generated by two permanent magnets, d) the magnetic beam is then glued to a glass slide using liquid PDMS and tape as a spacer and again cured, e) the final device when the spacer is removed after the device has been fully cured. f) Experiment demonstrating that the magnetic mixture has no effect on cell death compared to conventional plastic cultureware. N = 3. The beam is then glued using liquid PDMS to a glass slide with a spacer added to prevent the sinking of the beam. This is again cured on an 85°C hot plate for 4 hours. After curing, the spacer is removed. Separately, an adhesive film is added as a border to another glass slide on which cells are cultured. The slide with the beam is then flipped and placed on top of the cell surface. A small gap between the beam and the cell surface is necessary to ensure non-contact manipulation. Two different types of adhesives films are used to leave a gap height of 10 and 25 μm respectively. However, we will show in our results that cell stimulation was likely not achieved until the gap height was 5 μm as shear stress levels at higher gap heights are not sufficient. The small gap heights are achieved coincidentally in these set of experiments, but future experiments can be designed to repeatedly achieve this gap height. The most common reasons for the experimental gap height to be smaller than the theoretical gap height is because of gravity, which pulls the tip of the beam down when the device is assembled or a thick layer of glue that pushes the whole structure downward (see Fig 2). The former would also result in an uneven shear stress gradient resulting in cells closer to the tip of the beam to be more easily stimulated due to higher shear stress levels while the latter would increase the shear stress uniformly across the localized region.
Fig 2

Schematics showing the magnetic actuator.

a) Side view of the fully assembled device where the magnetic beam sits a distance h above the cell surface, b) top view of the device is shown with the adhesive film border on the bottom slide and the magnetic device glued to the top glass slide. c) and d) show scenarios where the gap height h can be coincidentally reduced either due to the device being angled downwards due to gravity (c) or as a result of thick spacer or a thick layer of glue pushing the whole structure downwards (d). e) A 3D rendering of the geometry is shown. This is the geometry used in the finite element analysis. The red square shows the region where shear stress calculations were performed.

Schematics showing the magnetic actuator.

a) Side view of the fully assembled device where the magnetic beam sits a distance h above the cell surface, b) top view of the device is shown with the adhesive film border on the bottom slide and the magnetic device glued to the top glass slide. c) and d) show scenarios where the gap height h can be coincidentally reduced either due to the device being angled downwards due to gravity (c) or as a result of thick spacer or a thick layer of glue pushing the whole structure downwards (d). e) A 3D rendering of the geometry is shown. This is the geometry used in the finite element analysis. The red square shows the region where shear stress calculations were performed.

b) Experimental design

A pair of electromagnetic coils (Fig 3) were designed to fit around a fluorescence microscope. A large set of coils were designed with a 17 cm radius, 300 turns of a 7 AWG copper wire mounted on a wooden structure that generates 10 mT in the center of the workspace. The device is placed in the center of the workspace such that the magnetization direction of the beam is perpendicular to the external magnetic flux density. An oscillating magnetic flux density of 10 mT at 1 Hz (Fig 4B) causes the beam to oscillate in the x-y plane [42] that results in fluid shear stress on the cell surface. From previous literature, commonly accepted range of fluid shear stress sensed by osteocytes in the lacuna-canaliculi network is estimated to be around 0.8–3 Pa [9], with our previous work showing a response from MLO-Y4 osteocytes at a minimum of 0.5 Pa [6]. Hence, the magnitude of the shear stress must be greater than 0.5 Pa to result in cell stimulation, which occurs for very small beam-surface gap heights. The coil system is connected to an analog servo driver (30A8, Advanced Motion Controls) and power supply for tunable field generation. A signal generator is used to generate a 1 Hz sinusoidal waveform. The sinusoidal waveform was chosen because it is the most well-accepted stimulus pattern for osteocytes in literature [43,44]. The external magnetic flux density (B) results in a torque on the magnetic beam since the direction of magnetization (m) is placed perpendicular to the field direction. The magnetization of the beam is 48 kA/m [45]. The resulting magnetic torque (T) is described by Eq 1.
Fig 3

Experimental setup to test magnetic actuator.

a) A schematic of the experimental setup is shown, b) the actual coils when placed around the microscope are shown. The 1D Helmholtz coils are specifically designed to fit around a fluorescent microscope. The coils are connected to an amplifier and power supply for current generation.

Fig 4

Simulation results for magnetic beam flow generation.

a) 2D Couette flow principle; b) magnetic flux density generated by the coils (shown for 2 s for posterity but this takes place over several minutes); c) the resulting theoretical deflection profile of the beam if the magnetic flux density in (b) is applied. This is also the profile used in the finite element analysis and the tangential derivative is used to determine the theoretical velocities shown in parts (e) and (g). d) The theoretical beam tip velocity magnitude as well as the cycle averaged velocity is shown for the deflection profile seen in (c). e) and g) are plotted using Eq 7 with theoretical velocities determined using the tangential derivative of the deflection profile and the numerical velocities determined from the finite element simulations. f) and h) show the shear stress with varying gap heights and beam tip deflection based on Eq 6 using theoretical and numerical velocities.

Experimental setup to test magnetic actuator.

a) A schematic of the experimental setup is shown, b) the actual coils when placed around the microscope are shown. The 1D Helmholtz coils are specifically designed to fit around a fluorescent microscope. The coils are connected to an amplifier and power supply for current generation.

Simulation results for magnetic beam flow generation.

a) 2D Couette flow principle; b) magnetic flux density generated by the coils (shown for 2 s for posterity but this takes place over several minutes); c) the resulting theoretical deflection profile of the beam if the magnetic flux density in (b) is applied. This is also the profile used in the finite element analysis and the tangential derivative is used to determine the theoretical velocities shown in parts (e) and (g). d) The theoretical beam tip velocity magnitude as well as the cycle averaged velocity is shown for the deflection profile seen in (c). e) and g) are plotted using Eq 7 with theoretical velocities determined using the tangential derivative of the deflection profile and the numerical velocities determined from the finite element simulations. f) and h) show the shear stress with varying gap heights and beam tip deflection based on Eq 6 using theoretical and numerical velocities.

c) Finite element simulations and analysis

To determine the shear stress that is applied to the cells and to understand how the results can be made reproducible, a set of fluid-structure interaction simulations were performed in ANSYS Workbench 17.1. These were repeated for different deflections with a gap height of 50 μm. The results of these simulations can be seen in Figs 4 and 5. A 3D geometry was constructed as shown in Fig 2E in ANSYS Workbench 17.1 with Transient Structural and Fluent components coupled together. A tip force was applied to the magnetic beam to match the average deflection seen in experiments. Note that the devices are all manually fabricated where small variations can result in large changes to the deflection profile of the beam. This simulation uses an average observed deflection, but this can be higher or lower for individual experiments resulting in higher or lower shear stress values. The magnetic physics were not modelled here since magnetic actuation is only used to deflect the beam, which is easily observed experimentally, and therefore a model is not necessary to determine beam deflection or other parameters for estimation of the shear stress. A sinusoidally oscillating force is applied to the beam which induces motion in the fluid. The resulting velocity data from the fluid domain was extracted from CFD-Post for the 1 mm square shown in red in Fig 2E. For a 2D geometry, a spatial gradient of the velocity (u) data can be used to generate the shear stress (τ) results as shown in Eq 2 where μ is the fluid viscosity.
Fig 5

Osteocyte calcium response under magnetic actuator stimulation.

a) The shear stress map obtained using Eq 6 with velocities obtained from finite element simulations is overlaid with the locations of all responding cells from multiple trials that are coded with the time it takes to respond. The dotted line shows the typical viewing window in experiments and the range of the beam oscillation is also overlaid on the map. b) A representative image obtained of the Fura-2 AM stained cells along with the beam is shown which corresponds to the dotted lines on the shear stress map. Scale bar = 50 μm. c) A plot of the cell response time vs distance from the tip of the beam with a linear regression performed is shown, showing an increase in response time for cells further away from the stimulated region. A total of 3 trials and 39 cells were recorded, with an r2 value of 0.59 for the linear regression.

Osteocyte calcium response under magnetic actuator stimulation.

a) The shear stress map obtained using Eq 6 with velocities obtained from finite element simulations is overlaid with the locations of all responding cells from multiple trials that are coded with the time it takes to respond. The dotted line shows the typical viewing window in experiments and the range of the beam oscillation is also overlaid on the map. b) A representative image obtained of the Fura-2 AM stained cells along with the beam is shown which corresponds to the dotted lines on the shear stress map. Scale bar = 50 μm. c) A plot of the cell response time vs distance from the tip of the beam with a linear regression performed is shown, showing an increase in response time for cells further away from the stimulated region. A total of 3 trials and 39 cells were recorded, with an r2 value of 0.59 for the linear regression. For our 3D geometry with all 3 components of velocity, we need to use a spatial gradient of the velocity vector, which results in a 2nd order stress tensor as seen in Eqs 3 and 4 where the diagonal elements correspond to the normal stresses and the rest are shear stress components. When all components of the shear stress tensor were plotted, we observed that the results of the tensor are asymmetric, and this is likely a result of the vortices created by the beam oscillation and that τ is the largest component of the shear stress. This is in line with the design of our device where the magnetic beam is placed a certain gap height above the cell surface and oscillates in the x direction resulting in a large spatial gradient. Finding the principal stresses of an asymmetric tensor is computationally intensive [46]. For our purposes, it is sufficient to conclude that all other elements are negligible and concentrate on the τ component as the primary shear stress component leading to cell stimulation.

d) Analytical model

A Couette flow model is used as a simplified model of the system fluid dynamics. The Couette flow model is the flow of viscous fluid between two infinite plates separated by a distance h with one plate moving at a velocity U and the other plate held stationary as shown in Fig 4B. The shear stress for this simplified model is determined by Eq 2 (the spatial gradient of the velocity). The geometry of motion in the experimental setup of this paper differs from the Couette assumption in two main ways: 1) oscillating flow generated due to the back and forth motions and 2) edge effects of the beam. A correction factor for the oscillatory Couette flow is found in Nalim et al [47]. However, since the Reynolds number for our flow is very small (with a peak of around 1.0), the oscillating flow correction is found to have negligible impact on the shear stress and does not need to be accounted for. Regarding the infinite plate assumption in the Couette flow model, our beam has defined edges and we see from the finite element model that some of the largest shear stress values occur near the edges of the beam. It has been shown in the past that edge effects increase the shear stress locally [47], and so we investigated the accuracy of the simple Couette flow model (Eq 6) for our setup to obtain the shear stress values plotted in Fig 4F and 4h. Here, U is the plate velocity (or the tip velocity of the beam in our specific case), h is the gap height and z is the vertical distance from the stationary wall. The velocities used in the calculation of the shear stress using this model are determined using 1) finite element simulations and 2) theoretical velocities determined based on the tangential derivative of a sinusoidal wave of the beams’ deflection profile as shown in Fig 4C. The theoretical velocity profile of the beam is also illustrated in Fig 4D. The fluid velocity at different vertical distances from the beam (as shown by Eq 7) is plotted in Fig 4E to show that the analytical Couette flow model and numerical simulations are in agreement and thus accurately captures the dominant fluid effects. The in-plane component of the fluid velocity is also plotted versus varying beam tip deflections in Fig 4G.

e) Cell culture

MLO-Y4 osteocytes (courtesy of Dr. Bonewald, Indiana University School of Medicine) are cultured in growth media composed of 2.5% calf serum (CS, Gibco, USA), 2.5% fetal bovine serum (FBS, Gibco, USA), 1% penicillin-streptomycin (PS, Gibco, USA), and 94% Alpha Minimum Essential Medium (MEM) (WISENT, Canada). Cells are seeded during passage 29 at 105 cells per 100 mm diameter collagen-coated (0.15 mg/ml Type I collagen (Corning, USA)) culture dishes and expanded until they achieve 80% confluency. The cells are then transferred onto collagen-coated experimental slides (75x25 mm) at a density of 500k cells per slide for overnight incubation till they reach 80% confluence again before imaging. MLO-Y4 cells are passaged between P29 and P35 while maintained in an incubator at 37 ˚C and 5% CO2. Cell death was quantified using Trypan Blue Stain (Sigma-Aldrich, USA) and counted under a standard light microscope.

f) Intracellular calcium imaging

Calcium imaging protocols are based on previously existing studies in literature [48-50]. Briefly, MLO-Y4 cells are stained with Fura-2 AM intracellular calcium dye (ThermoFisher Scientific, USA) for 45 min at room temperature in darkness. After rinsing with phosphate-buffered saline (PBS, Sigma-Aldrich, USA) and resting on a heated imaging stage for 15 min, experimental slides seeded with stained cells are imaged by a Nikon Eclipse fluorescence microscope for 1–2 minutes before the magnetic field is turned on to oscillate the beam for up to 10 minutes. During experiments, cells are seeded in regular growth media supplemented with 4.6 mg/mL Dextran (500k MW) (Sigma–Aldrich) to achieve the needed shear stress value without significantly increasing the size of the beam. This results in an increase in the viscosity of the media which is directly proportional to shear stress. It has been previously shown that the addition of Dextran to flow experiments using MLO-Y4 osteocytes does not affect their calcium response [24]. Fluorescence signals are read, and a ratio between signals produced from exposure to 340 nm and 380 nm wavelength light is used to generate the calcium response curves. A calcium response is quantified as having 2-fold-change or greater compared to baseline average response peak magnitudes measured in the initial 2 minutes of non-stimulated cells.

Results and discussion

We see from the analytical and numerical results of the shear stress values with different gap heights that large shear stress values are only obtained for very small gap heights (below 10 μm) and large beam tip deflection (greater than 150 μm). In Fig 5A, we have plotted the maximum shear stress map resulting from the oscillation of the beam over 10 cycles (the flow has stabilized within 1 cycle as differences between the 1 cycle and 10 cycle simulations appear negligible) in the 1 mm square region of interest around the beam tip, along with all responding cells recorded from multiple experimental trials. A sample microscope view of the beam and osteocytes is shown in Fig 5B. The maximum shear stress occurs in small areas around the beam oscillation which we refer to as the ‘local stimulation region’ (LSR). We see that cells in and around the LSR are stimulated. This is confirmed to be a response due to the magnetic actuator, as cells seeded in the magnetic field without the actuator elicited no quantifiable calcium response. We also observed cells being stimulated outside of the LSR where the shear stress magnitude was below the threshold required for cell stimulation. We have two hypotheses as to why this is the case; first, this could be the result of some form of cell response due to prolonged low magnitude shear stress, or secondly, a release of signalling factors from the stimulated cells in the LSR cross talk with cells outside the LSR that lead to their response through intercellular communication. Also plotted here are the results of stimulated cells colour coded with a time stamp. It is observed that the response time of the cells is correlated with the distance of that cell from the tip of the beam (Figs 5C and 6A). The linear coefficient between these two variables is calculated to be 0.59, demonstrating a trend between distance and response time. We believe a higher coefficient can be achieved once we adopt the experimental setup in an enclosed microfluidic device, where we will have more control over the gap height between the osteocytes and the magnetic beam, as well as the reproducibility of device fabrication and thus the setup. This corroborates our earlier prediction that gravity is pulling down the tip of the beam resulting in higher shear stress levels near the tip and lower shear stress levels in the remaining LSR. The effect of gravity on the beam was also visually observed on multiple devices. The detailed calcium response of three cells is shown in Fig 6B.
Fig 6

Sample calcium response curves resulting from magnetic actuation.

a) Three cells are plotted with respect to their positions from the tip of the beam, positioned in regions with different shear stress values; b) the calcium response of the corresponding cells from part (a) are shown.

Sample calcium response curves resulting from magnetic actuation.

a) Three cells are plotted with respect to their positions from the tip of the beam, positioned in regions with different shear stress values; b) the calcium response of the corresponding cells from part (a) are shown. As established in the literature, signals propagate within an osteocyte network through key molecules such as ATP and calcium. It is interesting to note that despite the relatively far distance between the LSR and responding cells further away (100–250 μm) from the magnetic actuator, previous work has reported that extracellular vesicles could play a key role in delivering signals at a distance [18,48]. Since in vitro studies using cell indentation tools have shown it is difficult for calcium signals alone to propagate intracellular signalling beyond its neighbouring cells [17], we speculate that exosomes could be a potential explanation for responding cells outside of LSR. Furthermore, first peak response time of up to 300 s has been observed from distant cells. As this time is much longer than standard calcium fluctuation response time due to mechanical stimulation [51,52], it can be implied that cellular response seen at this time scale is due to signal propagation from previously stimulated cells. However, future experiments involving fluorescent tracing of signal molecules will be required to confirm this hypothesis. Interestingly, except the time of initial response, there was no distinct difference in other response characteristics such as peak response magnitude and frequency of multi-peak response between mechanically stimulated osteocytes and osteocytes outside of the LSR with a registered calcium response. However, there was a slight, statistically non-significant trend towards higher response rate closer to the magnetic actuator (as can be seen by density of dots in Fig 5C). The above similarity in response magnitude is different from previous studies using cell membrane indentation technique, where a decrease in response magnitude was observed between stimulated and neighbouring non-stimulated cells [17]. With a prolonged stimulation time, it is possible that the concentration of signalling molecules increased to a threshold level capable of generating a comparable cellular response as fluid shear stress [53]. As there is an inherent difference between types of forces applied to the cell during fluid shear stress vs. cell membrane indentation, it is difficult to draw appropriate conclusions.

Conclusions

A device design is proposed and fabricated in order to locally stimulate cells. The device was employed experimentally, and cells under direct beam oscillation induced shear stress were found to respond with an intracellular calcium concentration increase. A set of finite element simulations were performed in order to obtain a shear stress map and a small LSR was found at a gap height of 5 μm. Over time, cells outside the LSR also respond. We postulate that this could be the result of communication between cells from the LSR or due to prolonged application of low magnitude shear stress. Future experiments can be made more reproducible by controlling the gap height more precisely in device fabrication. Another easy way of increasing the shear stress is to further increase the viscosity of the fluid which has been shown to increase the shear stress on the cells [54]. This is a straightforward path to achieve higher levels of stimulatory shear stress observed in bone tissue during loading [55]. Future studies will aim to place the beam inside microfluidic channels in order to do more in depth molecular analysis. A microfluidic device will allow for future studies of osteocyte network signalling with physiologically accurate localized shear stress gradient.

Calcium response data.

Complied data showing calcium response from the three experimental trials. (XLSX) Click here for additional data file.

Local stimulation of osteocytes using a magnetically actuated oscillating beam.

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Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Partly Reviewer #3: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: I Don't Know Reviewer #2: No Reviewer #3: N/A ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This paper describes the fabrication of a magnetically actuated oscillating beam device for the local cellular stimulation. They validate their device by measuring Ca production from osteocytes upon stimulation. The paper is interesting, and they have performed a thorough characterization of their device; however, there are too many issues that need to be addressed before the manuscript is ready for publication. My recommendation is that the manuscript deserves a major revision in its current form, and it should be re-written and re-submitted. If the authors are prepared to undertake the work required, I would be pleased to reconsider my decision, although this does not imply that the paper will be accepted with certainty in the event that the authors decide to revise and resubmit the work. 1. This manuscript needs a revision for grammar and clarity: e.g., fluorescent microscope (fluorescence microscope). The magnetic physics was (The magnetic physics were) The Couette model consists of flow….., The fluid velocity at different vertical distances from the beam (as shown by Eq. 7) are plotted (is),…. etc. 2. Different formatting in the references is used. Please use a uniform format. See (4,5) and (9),(10) for instance. 3. In the introduction section a brief revision about optical, electrical and magnetic non-contact cell manipulation should be included to give the readers a better understanding of the field. 4. The introduction is too short to give a good feedback about the current state-of-the art. The talk about AFM but, in addition, a description about the use of magnetic and optical tweezers in order to exert controlled mechanical stimulation on cells should be included. 5. Figure 1f. How many replicas were performed? 6. There is an error in Figure 2 caption. There is not Figure 2f. They are repeating the same Figure 1f caption. 7. The authors say: “However, the magnitude of the shear stress must be greater than 0.5Pa to result in cell stimulation(6)”. But in ref 6 at 1Hz, differences in cell stimulation compared untreated controls takes place after 2h of stimulation. So timing is important, and they authors of this current manuscript should include an explanation about the exposition times used in their work (10 min for the intracellular Ca imaging) and the rapid cellular response observed compared to other works. Why? 8. Why the fluid viscosity used in equation 2 is constant? Can it vary depending on the Ca production upon stimulation? The authors say: “a release of nutrients and chemicals from the stimulated cells”. So, does the medium change in composition depending on the stimulation? Have they calculated the viscosity of the media containing 4.6 mg/mL Dextran (500k MW) in their calculations??? An explanation is needed. 9. The authors say: “a release of nutrients and chemicals from the stimulated cells” Why a cell is going to release nutrients to the neighboring cells? Do neighboring non-stimulated cells scavenge for other nutrients to support their metabolism? An explanation is needed. 10. The authors say: Despite the relatively far distance between the LSR and responding cells further away (100-250 μm) from the magnetic actuator, extracellular vesicles could play a key role in delivering signals at distances beyond the immediate surroundings of the LSR(18,29). They could collect exosomes from non-stimulated and stimulated cells and running a proteomic analysis to validate their hypothesis. Also, to know by a simple western blotting if the number of exosomes is higher upon stimulation. If not, I do not understand why that sentence in this manuscript. 11. In Figure 5b scattered cells are shown. Do you need have confluent cells as in a physiological media to draw conclusions? Does the cell number play a role in Ca response? Experiments with different cell numbers are needed. Reviewer #2: The authors have engineered a microfluidic device where mechanical stimulations can be applied on cells seeded in a monolayer on the bottom of the devices. For this a magnetically actuated oscillating beam was developed to generate shear stresses on the cells thanks to the oscillatory movements of the beam. Microfluidic devices are complex engineered system that can be compromised at any step of their fabrication which make this work notable. However some concerns regarding the validation can be raised. 1- One major comment on this study, is the few statistical analysis provided regarding the capacity of the devices to stimulate osteocyte-like cells (MLO-Y4) and to induce intracellular calcium signalling. Indeed, many details are lacking specifically in the materials and methods section, ie the number of independent experiments that have been performed and that worked, and if any statistical tests were performed to compare the results of calcium signalling. In the current state of the article, the results are presenting data from only 1 trial since 39 cells were recorded in a video from a single run and are shown in the figure 5 which does not represent the 3 trials that are informed in the caption. In addition for the figure 5c the coefficient of regression is only available in the caption and is not discussed. 2- Osteocytes are the orchestrator of bone homeostasis and are mechanosensitive cells. What is the minimum of flow subjected on the osteocytes that can induce a response? What is the range of shear stress in the lacunocanalicular network in healthy condition? 3- In the FEA, there is no indication of any turbulence induced in the fluid outside of the LSR due to the oscillatory movement of the beam. What str the authors thought about the flow induced outside this area? Could this induce the oscillation of calcium observed in cells far from the beam? 4- It is not clear what is the timescale to have a stable flow. And how this can be compared to other devices inducing fluid flow to study calcium signalling in vitro? 5- Additionnal introduction on microfluidics and the fluid flow induced would allow to understand what are the advantages of this device compared to others. Minor comments 1- In the Introduction, there is a confusion in citing McGarrigle et al 2016. In this article, the authors did not quantify intracellular calcium signalling and no fluid flow systems were used. Is there a confusion with the article from Deepak et al 2017? Please make sure all the other references are cited appropriately. 2- Some details are lacking in the materials and methods ie the passage of the cells when seeded on the devices. 3- What is the maximum duration that the system was ran to induce an oscillatory shear stress? 4- It would improve the manuscript to add in the discussion a sentence about the absence of control conditions where the cells are subjected to the magnetic field and not to shear stress. Reviewer #3: Figures are schematic, illustrative and well captioned. However, they are quite pixelated (especially figures 1, 2 and 3). Graphics could be acceptable in smaller size, but it would be better to see them in higher quality. Line 112: “shear stress must be greater than 0.5 Pa to result in cell stimulation”. This is good data to set the experiment but a reference is missed regarding physiological value (or range of values) of shear stress that osteocytes may be exposed to in lacuno-canicular system. Indeed, in lines 19-21 (abstract) you claim that the beam generates the fluid shear stress encountered in vivo but you did not indicate that value. Related to the former comment, in line 61: you set a frequency of 1Hz in order to apply fluid shear stress to the cells. Have you tested different frequencies to get a wider scope of shear stress? Line 174: Cell density is reported to be a key parameter in 'in vitro' models. The density seeded over the experimental slides is (500k cells / (7.5cm*2.5cm); (line179)) ≈ 27.000 cells/cm2. It is a value that is not compared with physiological osteocyte density in murine lacuno-canicular system. Did you check results of calcium responses with different cell densities? Line 186: you have stimulated the culture for 10 min. Afterwards you indicate that “With a prolonged stimulation time, it is possible that the concentration of signaling molecules increased to a threshold level capable of generating a comparable cellular response as fluid shear stress”. Have you tested your experiment for longer times to check this possibility? Line 187: “growth media supplemented with Dextran to achieve the needed shear stress without significantly increasing the size of the beam”. It is not completely clear the reason why Dextran is needed to achieve that purpose. It may be also helpful to show a fluorescent picture of the culture. You define LSR (local stimulation region) as areas in and around the beam oscillation (line 199). Figure 5, both images “a” and “b”, are useful pictures that ease the understanding of the results you provide. It would be helpful, though, to indicate on both figures what you call LSR if it helps to distinguish between cells inside and outside LSR (lines 199-206). ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 14 May 2020 Dear Reviewers, Based on the comments provided by the reviewers, we have modified our manuscript to provide clarification on the issues raised. These changes focused primarily on justifying the shear stress levels that were generated and how we quantified these values. We also provided an explanation regarding the duration of the experiment, as well as the confluence level used during these experiments. We have also provided clarification for the number of experimental trials that we used to collect our data. We also added a paragraph to the introduction in order to highlight other techniques used for cell manipulation and their advantages and limitations. You can find our detailed response in the attached Response to Reviewer document. Sincerely, Authors Submitted filename: Response to Reviewer Comments Final v3.docx Click here for additional data file. 15 Jun 2020 Local Stimulation of Osteocytes Using a Magnetically Actuated Oscillating Beam PONE-D-20-06886R1 Dear Dr. You, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Jose Manuel Garcia Aznar Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #3: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #3: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #3: N/A ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #3: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #3: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors have satisfactorily addressed all my concerns. I think that the manuscript is ready for publication. There are still a three issues with their model which deserve more investigation as I proposed but as the authors say they will include those in the next generation of their new encased microfluidic devices. I think that as it is the manuscript contains enough new results which are interesting for the scientific community working on the field. Reviewer #3: I consider the authors have addressed the comments raised in this round of review. The introduction frames deeper the current state of the art. Thus, the obtained results are now clearly understood and outlined. It is also noteworthy the improvement in written English quality. However, from my point of view there are some redundant sentences and the choice of words has room for improvement. In my opinion, a minor revision is needed. Here, I would like to present some optional recommendations that might improve the writing style: - L 62 "While local stimulation of cells has been attempted in the past [19], no study has attempted to quantify". You wrote twice "attempted", i may use another word as "no study has succeeded in.." - L 68: "allow for cutting, injecting and stimulation of individual cells". It might be grammatically more accurate "allow to cut, inject and stimulate individual cells". - L 70: "They are, however, less likely to damage cells". I consider that it sounds informal and something that is not sure, but non-contact methods are indeed less harmful to cells. Thus, I would write that in a different but similar way "However, -they/those methods- are less harmful to cells". -L 210: "while maintained in an incubator at 37 ˚C". They are indeed "incubated at" this T and CO2%. -L 213: "Calcium imaging protocols are based on". As far as I understood, you are relating a single calcium protocol in that paragraph. Thus, it would be better to write that in singular "Calcium imaging protocol is base on.." -L 228-230. You are splitting the provided information by adding more info in brackets. It may be clearer to reorder "...from the oscillation of the beam over 10 cycles in the 1 mm 230 square region of interest around the beam tip, along with all responding cells recorded from multiple experimental trials. The flow has stabilized within 1 cycle as differences between the 1 cycle and 10 cycle simulations appear negligible. A...". -L 271: "(as can be seen by density of dots in Fig 5c)." better "see dots density in Fig 5c". I would like to congratulate you on the effort you make in this round of revision. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #3: No 18 Jun 2020 PONE-D-20-06886R1 Local Stimulation of Osteocytes Using a Magnetically Actuated Oscillating Beam Dear Dr. You: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Jose Manuel Garcia Aznar Academic Editor PLOS ONE
  42 in total

1.  Effect of oscillating fluid flow stimulation on osteocyte mRNA expression.

Authors:  Jason Li; Emily Rose; Daniel Frances; Yu Sun; Lidan You
Journal:  J Biomech       Date:  2011-11-25       Impact factor: 2.712

2.  In situ mechanical characterization of mouse oocytes using a cell holding device.

Authors:  Xinyu Liu; Roxanne Fernandes; Andrea Jurisicova; Robert F Casper; Yu Sun
Journal:  Lab Chip       Date:  2010-06-14       Impact factor: 6.799

3.  Long-term and room temperature operable bioactuator powered by insect dorsal vessel tissue.

Authors:  Yoshitake Akiyama; Kikuo Iwabuchi; Yuji Furukawa; Keisuke Morishima
Journal:  Lab Chip       Date:  2008-10-21       Impact factor: 6.799

4.  Acoustic tweezers: patterning cells and microparticles using standing surface acoustic waves (SSAW).

Authors:  Jinjie Shi; Daniel Ahmed; Xiaole Mao; Sz-Chin Steven Lin; Aitan Lawit; Tony Jun Huang
Journal:  Lab Chip       Date:  2009-08-05       Impact factor: 6.799

5.  Estrogen deficiency attenuates fluid flow-induced [Ca2+]i oscillations and mechanoresponsiveness of MLO-Y4 osteocytes.

Authors:  Vishwa Deepak; Pushpalata Kayastha; Laoise M McNamara
Journal:  FASEB J       Date:  2017-03-31       Impact factor: 5.191

6.  Bone remodelling at a glance.

Authors:  Julie C Crockett; Michael J Rogers; Fraser P Coxon; Lynne J Hocking; Miep H Helfrich
Journal:  J Cell Sci       Date:  2011-04-01       Impact factor: 5.285

7.  Full-term development of mice from enucleated oocytes injected with cumulus cell nuclei.

Authors:  T Wakayama; A C Perry; M Zuccotti; K R Johnson; R Yanagimachi
Journal:  Nature       Date:  1998-07-23       Impact factor: 49.962

8.  An opto-thermocapillary cell micromanipulator.

Authors:  Wenqi Hu; Qihui Fan; Aaron T Ohta
Journal:  Lab Chip       Date:  2013-05-13       Impact factor: 6.799

Review 9.  In Vitro Bone Cell Models: Impact of Fluid Shear Stress on Bone Formation.

Authors:  Claudia Wittkowske; Gwendolen C Reilly; Damien Lacroix; Cecile M Perrault
Journal:  Front Bioeng Biotechnol       Date:  2016-11-15

10.  Mechanically induced Ca2+ oscillations in osteocytes release extracellular vesicles and enhance bone formation.

Authors:  Andrea E Morrell; Genevieve N Brown; Samuel T Robinson; Rachel L Sattler; Andrew D Baik; Gehua Zhen; Xu Cao; Lynda F Bonewald; Weiyang Jin; Lance C Kam; X Edward Guo
Journal:  Bone Res       Date:  2018-03-19       Impact factor: 13.567

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  1 in total

1.  Evolutionary Inverse Material Identification: Bespoke Characterization of Soft Materials Using a Metaheuristic Algorithm.

Authors:  Michele Di Lecce; Onaizah Onaizah; Peter Lloyd; James H Chandler; Pietro Valdastri
Journal:  Front Robot AI       Date:  2022-01-14
  1 in total

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