This work was supported by the National Institutes of Health Grants R01 DK091526 (JO), NSF 0852416(DTE), and Chicago Diabetes Project.

1. Preparing the Mouse Islets
<ol>
	<li>Dissect C57BL/6 mice and isolate islets by collagenase digestion and Ficoll density gradient separation. (Refer to JOVE articles referenced in2,3).</li>
	<li>Incubate islets in RPMI-1640 medium containing 10% FBS, 1% penicillin/streptomycin, and 20 mM HEPES in Petri&#160;dishes (37 &#176;C, 5% CO2). Post-isolation, culture islets for 24 hr prior to use in experiments. Use the islets within 1-2 days to ensure consistent results.</li>
</ol>
2. Making the Microfluidic Platform
<ol>
	<li>Generate the microstructure geometries on transparency photomasks for each device layer: 1) inlet and outlet, 2) Glucose microfluidic layer with perifusion chamber (8 mm diameter x 3 mm, 150 &#956;l), 3) 200 &#956;m membrane with microwells (500 &#956;m diameter, 100 &#956;m deep), and 4) gas microfluidic layers.</li>
	<li>To fabricate the Inlet and outlet layer, pour degassed, premixed PDMS to a height of 1.5 mm in a blank Petri dish and cure at 80 &#176;C for 2 hr. Punch 2 mm diameter input/out ports.</li>
	<li>To fabricate the glucose microfluidic layer, spin two 350 &#956;m layers of SU8-2150 to form a single 700 &#956;m layer on a 4 in&#160;silicon wafer.
	<ol>
		<li>Expose UV light through the appropriate photomask to transfer microchannel pattern onto the SU8 after development, producing a 700 &#956;m tall master.</li>
		<li>Pour degassed, premixed PDMS onto this master to a height of 3 mm and cure at 80 &#176;C for 2 hr. Cut this PDMS to shape with a razor blade.</li>
		<li>Punch 2 mm diameter input/output ports as well as the 8 mm diameter chamber.</li>
	</ol>
	</li>
	<li>To fabricate the 200 &#956;m membrane with microwells, spin SU8-2100 to 100 &#956;m. Apply the same UV-lithography to transfer microwell patterns onto this 100 &#956;m tall master.
	<ol>
		<li>Spin degassed, premixed PDMS onto this master at 900 rpm for 30 sec and cure at 80 &#176;C for 10 min. Spin a second layer on top of the first using the same conditions, resulting in a 200 &#956;m PDMS membrane containing microwell patterns.</li>
		<li>Punch 2 mm diameter input/output ports through this membrane</li>
	</ol>
	</li>
	<li>To fabricate the gas microfluidic layer, spin SU8-2100 to 100 &#956;m. Apply the same UV-lithography to transfer gas microfluidic patterns onto this 100 &#956;m tall master.
	<ol>
		<li>Pour degassed, premixed PDMS onto this master to a height of 1.5 mm and cure at 80 &#176;C for 2 hr. Cut the PDMS to shape with a razor blade.</li>
		<li>Punch 2 mm diameter input/output ports through this layer</li>
	</ol>
	</li>
	<li>To bond the multiple layers, prepare them by cleaning with scotch tape, exposing to corona arc, and then aligning by hand in the following order.
	<ol>
		<li>Bond the membrane to the bottom gas layer with microwells facing up.</li>
		<li>Bond the glucose microfluidic on top of the microwell membrane.</li>
		<li>Bond the inlet and outlet layer on the very top, encapsulating the whole assembly.</li>
		<li>Reinforce the bonding by adding 1 kg weight on top and baking at 100 &#176;C for 3 hr.</li>
	</ol>
	</li>
	<li>Leak-test the completed device by loading water into the aqueous layer, then submerging the entire device under water. Then, flow air through the gas layer with an empty syringe.</li>
	<li>Sterilize leak-free devices with 70% ethanol through the aqueous layer then flush with PBS buffer, in which the device is stored at 4 &#176;C until use.</li>
</ol>
3. Microdispenser Setup
<ol>
	<li>Obtain 2 microdispensers, 5 V and 20 V DC power supplies, and a digital I/O board to construct the oxygen mixing and delivery setup.
	<ol>
		<li>Connect the microdispensers&#39; control leads to the included driver units.</li>
		<li>Connect the drivers to the digital I/O board at ports corresponding to Labview controls.</li>
		<li>Connect the 5 V and 20 V power supplies to corresponding contacts on the drive units.</li>
		<li>Connect the digital I/O to a laptop to execute Labview codes for gas control (Appendix).</li>
	</ol>
	</li>
	<li>Connect one microdispenser to nitrogen while another to compressed air, both with 5% CO2. Set both gases to 2 psi. Hook up the dispensers&#39; outputs in a T-junction prior to entering the microfluidic device.</li>
	<li>Using a leak-tested device, characterize the transient response of oxygen modulation by cycling the microdispensers between 5-21% oxygen, while measuring dissolved oxygen in water with a fiber optic oxygen sensor (see equipment list and representative results).</li>
</ol>
4. Setting Up at the Microscopy
<ol>
	<li>Mount the device to the heated stage on the inverted microscope.</li>
	<li>Connect 0% and 21% O2 gases to the device and calibrate with the oxygen sensor.</li>
	<li>Connect the output port of the glucose microfluidics to a fraction collector.</li>
	<li>Prepare the Krebs Ringer bicarbonate buffer (KRB): 129 mM NaCl, 5 mM NaHCO3, 4.7 mM KCl, 1.2 mM KH2PO4, 1 mM CaCl2&#183;2H2O, 1.2 mM MgSO4&#183;7H2O, 10 mM HEPES pH 7.35-7.40, 2 mM basal glucose, and 5% FBS.</li>
	<li>Prepare two buffer solutions containing 2 mM and 14 mM glucose respectively in 50 ml conical tubes bathed in 37 &#176;C water bath.</li>
	<li>Connect a peristaltic pump to draw buffer at 250 &#956;l/min into tubing. Flow the tubing over a 37 &#176;C hotplate before entering the microfluidic device.</li>
	<li>To stain the islets, add Fura-2 AM in DMSO and Rh123 in 100% ethanol to 2 ml of KRB to reach final dye concentrations of 5 &#956;M and 2.5 &#956;M, respectively.</li>
	<li>Pick up islets with a 10 &#956;l pipette and incubate in dyes for 30 min at 37 &#176;C.</li>
	<li>Load approximately 20 islets into the device via the glucose microchannel inlet. Direct the islets into the chamber by priming buffer from the outlet back into the inlet.</li>
	<li>Perfuse the islets in buffer for 10 min to wash away excess dyes.</li>
</ol>
5. Running the Simultaneous Oxygen and Glucose Stimulation
<ol>
	<li>Deliver a glucose stimulation pulse with 5 min of baseline established by KRB2, followed by 15 min of 14 mM stimulation, then wash for 15 min in KRB2.</li>
	<li>Record 340/380 nm excitation wavelength for Fura-2 and 534 emission for Rh123.</li>
	<li>Make measurements of a normal pulse (14 mM normoxic) before each experiment.</li>
	<li>For oxygen modulation (hypoxia/intermittent hypoxia), only apply buffer flow during stimulation and washing steps and no flow in other steps, to minimize convective disturbances.</li>
	<li>Collect effluents from glucose outlet at 1 min intervals for ELISA insulin assay.</li>
</ol>

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	<li>Lo, J. F., Wang, Y., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Islet+Preconditioning+via+Multimodal+Microfluidic+Modulation+of+Intermittent+Hypoxia.">Islet Preconditioning via Multimodal Microfluidic Modulation of Intermittent Hypoxia.</a> Anal. Chem. 84 (4), 1987-1993 (2012).</li><li>Qi, M., Barbaro, B., Wang, S., Wang, Y., Hansen, M., Oberholzer, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Human+Pancreatic+Islet+Isolation:+Part+I:+Digestion+and+Collection+of+Pancreatic+Tissue.">Human Pancreatic Islet Isolation: Part I: Digestion and Collection of Pancreatic Tissue.</a> J. Vis. Exp.. , e1125 (2009).</li><li>Qi, M., Barbaro, B., Wang, S., Wang, Y., Hansen, M., Oberholzer, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Human+Pancreatic+Islet+Isolation:+Part+II:+Purification+and+Culture+of+Human+Islets.">Human Pancreatic Islet Isolation: Part II: Purification and Culture of Human Islets.</a> J. Vis. Exp.. , e1343 (2009).</li><li>Shapiro, A. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Islet+Transplantation+in+Seven+Patients+with+Type+1+Diabetes+Mellitus+Using+a+Glucocorticoid-Free+Immunosuppressive+Regimen.">Islet Transplantation in Seven Patients with Type 1 Diabetes Mellitus Using a Glucocorticoid-Free Immunosuppressive Regimen.</a> N. Engl. J. Med. 343 (4), 230-238 (2000).</li><li>Adewola, A. F., Wang, Y., Harvat, T., Eddington, D. T., Lee, D., Oberholzer, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Multi-Parametric+Islet+Perifusion+System+within+a+Microfluidic+Perifusion+Device.">A Multi-Parametric Islet Perifusion System within a Microfluidic Perifusion Device.</a> J. Vis. Exp.. , e1649 (2010).</li><li>Mohammed, J. S., Wang, Y., Harvat, T. A., Oberholzer, J., Eddington, D. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Microfluidic+device+for+multimodal+characterization+of+pancreatic+islets.">Microfluidic device for multimodal characterization of pancreatic islets.</a> Lab Chip. 9, 97-106 (2009).</li><li>Carreras, A., Kayali, F., Zhang, J., Hirotsu, C., Wang, Y., Gozal, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Metabolic+Effects+Of+Intermittent+Hypoxia+In+Mice:+Steady+Versus+High+Frequency+Applied+Hypoxia+Daily+During+The+Rest+Period.">Metabolic Effects Of Intermittent Hypoxia In Mice: Steady Versus High Frequency Applied Hypoxia Daily During The Rest Period.</a> AJP - Regu Physiol. 303 (7), 700-709 (2012).</li><li>Lee, E. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Time-dependent+changes+in+glucose+and+insulin+regulation+during+intermittent+hypoxia+and+continuous+hypoxia.">Time-dependent changes in glucose and insulin regulation during intermittent hypoxia and continuous hypoxia.</a> Eur. J. Appl. Physiol. , (2012).</li><li>Kane, B. J., Zinner, M. J., Yarmush, M. L., Toner, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Liver-specific+functional+studies+in+a+microfluidic+array+of+primary+mammalian+hepatocytes.">Liver-specific functional studies in a microfluidic array of primary mammalian hepatocytes.</a> Anal. Chem. 78, 4291-4298 (2006).</li><li>Lam, R. H. W., Kim, M. C., Thorsen, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Culturing+aerobic+and+anaerobic+bacteria+and+mammalian+cells+with+a+microfluidic+differential+oxygenator.">Culturing aerobic and anaerobic bacteria and mammalian cells with a microfluidic differential oxygenator.</a> Anal. Chem. 81, 5918-5924 (2009).</li><li>Polinkovsky, M., Gutierrez, E., Levchenko, A., Groisman, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fine+temporal+control+of+the+medium+gas+content+and+acidity+and+on-chip+generation+of+series+of+oxygen+concentrations+for+cell+cultures.">Fine temporal control of the medium gas content and acidity and on-chip generation of series of oxygen concentrations for cell cultures.</a> Lab Chip. 9, 1073-1084 (2009).</li><li>Mehta, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantitative+measurement+and+control+of+oxygen+levels+in+microfluidic+poly(dimethylsiloxane)+bioreactors+during+cell+culture.">Quantitative measurement and control of oxygen levels in microfluidic poly(dimethylsiloxane) bioreactors during cell culture.</a> Biomed. 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The authors declare that they have no competing financial interests.

The multiple modalities integrated in this islet hypoxia technique present several points noted here for troubleshooting. First the isolated islets continue to degrade and disintegrate in culture due to digestive enzymes from acinar cells. Standardizing experiments to 1-2 days after islet isolation is thus critical in obtaining consistent results. Second, the aqueous flow was stopped during hypoxia and intermittent hypoxia to prevent convective clearance at the boundary between laminar flow and diffusion. This seems to limit the duration of islet preconditioning. Future integration of a gas exchange in the aqueous channel can eliminate this minor clearance while still allowing rapid gas modulations at the membrane. Third, while loading the islets, the aqueous tubing should be reconnected carefully in reverse order (outlet then inlet) to avoid trapping air bubbles. Lastly, future device can be augmented with a fanned-out microfluidic distributor, to help distribute the cluster of islets over the entire chamber, at bottom of which can be patterned with an array of trapper pockets. This microfluidic distribution in addition to the pocket array will help create a positional array of islets for high-throughput experiments.
Prior to this microfluidic islet hypoxia technique, the fastest intermittent hypoxia modulations were achieved in one to three minute cycles by using small custom hypoxic chambers with high flow of pressurized gas. However, these can only be used on whole animals and not at the single islet level. Besides the uncertainty of the actual hypoxia level achieved in the whole animals&#39; pancreas (after respiratory equilibrium) there is also the inability to probe glucose-insulin response in real-time, well-controlled microenvironments. In comparison, both aqueous and gas stimulations are controlled to minute time-scales in our microfluidics. These modulations are also mounted directly at the microscope for multiparametric monitoring. Prior to our technique, repeatable and well-characterized islet precondition has not been achievable. Oxygen-sensitive ex vivo tissues such as islets are optimally suited to this microfluidic platform as their microscaled dimensions (i.e. 100&#160;&#956;m radius) are trapped between smaller cell-culture platform and larger chamber apparatus. Beyond islets, a number of ex vivo tissues&#8212;including cardiac tissue, brain slices, and embryos&#8212;can be investigated using this technique.

Dynamic hypoxia is important in biology, specifically for islet transplants
Dynamic hypoxia is an important physiological as well as pathophysiological parameter in many biological tissues. Change in oxygen, for example, is a potent developmental signal in angiogenesis. Moreover, spatial and temporal patterns in hypoxia modulate HIF1-alpha and play roles in diseases like pancreatic cancer. Hypoxia is also a confounding factor affecting islet transplant outcomes. Recently, temporally oscillations of hypoxia, or intermittent hypoxia (IH) have demonstrated benefits in &#34;preconditioning&#34; islets1. However, both static and transient hypoxia effects on islet physiology have yet to be well understood or studied, primarily due to the lack of appropriate tools to control islet&#39;s microenvironment.
Islets are well vascularized in vivo
Pancreatic islets are 50-400 &#956;m spheroidal aggregates of endocrine cells, including beta-cells and alpha-cells that are responsible for glucose homeostasis. When islets are exposed to stimulatory glucose in the blood, uptake and glycolysis lead to ATP production, which opens up ATP-sensitive potassium (KATP) channels and results in calcium influx that triggers the exocytosis of insulin granules. Oxygen is important to drive this heavily metabolic process and insulin secretion is significantly influenced by the dynamics of blood flow and oxygen supply in addition to glucose gradients. Islets readily perform this glucose-insulin response in vivo as they are highly perfused in the pancreas, each within one cell length from a capillary vessel. However, the dense network of intraislet capillaries is removed by collagenase during islet isolation2,3. Consequently, both oxygen and nutrient supplies are constrained to a 100 &#956;m perimeter due to diffusion limitations.
Current techniques have limited success in recreating islet microenvironment
Recreating islet&#39;s native oxygen and glucose dynamics, key to modeling physiological and pathophysiological conditions, is difficult to achieve with standard hypoxic chambers that require elaborate flow and lack continuous monitoring of islet functions. Moreover, transplant therapies for Type I diabetes expose isolated islets to hypoxia in the hepatic portal system4 which has much lower pO2 (&#60;2%, 5-15 mmHg) compared to physiological pancreas (5.6%, 40 mmHg). Post-transplant, the islet grafts take two weeks or more to be revascularized. It has been demonstrated that hypoxic exposure impairs islet&#39;s glucose-insulin coupling mechanism. Among the stimulus-secretion coupling factors, calcium signaling, mitochondrial potentials, and insulin kinetics can be easily monitored using microfluidics. Our previous microfluidic technique demonstrated this real-time monitoring with precise modulation of the aqueous microenvironment around single islet5,6. However, quantification of islet&#39;s hypoxic impairment is stymied by the lack of simultaneous stimulation and monitoring techniques. Therefore, combining microfluidic control of oxygen and islet monitoring can improve islet hypoxia studies.
Microfluidics can recreate and modulate the aqueous and oxygen microenvironment
The standard technique for tissue and culture hypoxia studies has been based on hypoxic chambers. In general, the hypoxic chambers provide single oxygen concentrations with equilibration times in ~10-30 min, incompatible with minute-scaled dynamic hypoxia. Two recent studies used small custom chambers for intermittent hypoxia exposure on whole mice, with conflicting results on glucose-induced insulin response7,8. Bear in mind that at the whole animal level, the respired oxygen is not directly translated to islet capillary pO2, due to controls in the respiratory system. Furthermore, these studies do not have standardized oxygen levels, nor do they provide real-time measures at the tissue level of islets.
On the other hand, oxygen microfluidics can surpass these limitations by controlling oxygen via gas channel networks. Moreover, microfluidics is compatible with live imaging during oxygen modulation, a feat currently not possible with standard hypoxic chambers. A number of these novel microfluidics approaches utilize the gas permeability of polydimethylsiloxane to dissolve oxygen concentrations into microchannels that flow media over target cells9-14. These devices have also integrated multiple discrete oxygen concentrations, fluorescence based oxygen sensors, and even chemical oxygen generation on-chip.
Liquid solvation-based microfluidics have a hard time maintaining stable, continuous gradients as it depends on convective mixing which is sensitive to flow conditions. In comparison, the technique we use here focuses on decreasing the diffusion path of oxygen delivery. The gas solvation and shear flow are eliminated by directly diffusing oxygen across a membrane seeded with cells or islet tissues. This removes the extra microfluidics required to control solvation and prevents unnecessary shear stress to the islets, which itself can trigger insulin release. This platform has been used to demonstrate reactive oxygen species (ROS) up-regulation at both hyperoxic and hypoxic extremes (2-97% O2) in cell culture1,15. Because of the direct delivery of oxygen and removal of shear flow, our diffusion-based platform provides the optimal microfluidic solution for studying islet hypoxia.
Multimodal stimulation and monitoring
Diffusion-based microfluidics also brings additional benefits when adapted for studying islet microphysiology. By using a membrane as a diffusion barrier, the liquid can be isolated from the oxygen modulations, enabling controls of aqueous glucose stimulations independently from hypoxic stimulations. This creates a sandwich-like simultaneous stimulation that spatially pin-points delivery to the islets. Furthermore, as the gas is temporally modulated via computerized microinjectors, we can modulate the oxygen concentration from 21-0% digitally with transient time less than 60 sec. The dynamic controls of the oxygen and glucose microenvironment at the microscope allow a real-time multimodal protocol that would not be possible or extraordinarily cumbersome using standard hypoxic chambers. Using this device, calcium signaling (Fura-AM), mitochondrial potentials (Rhodamine 123), and insulin kinetics (ELISA) were monitored to provide a complete picture of the dynamic glucose-insulin response under hypoxia.

<table><tbody><tr><td colspan="4">&lt;strong&gt;Reagent/Material&lt;/strong&gt;</td></tr><tr><td>Spinner</td><td>Laurell</td><td>WS-400</td><td></td></tr><tr><td>SU8</td><td>MicroChem</td><td>SU8-2150/SU8-2100</td><td></td></tr><tr><td>Digital Hotplate</td><td>PMC Dataplate</td><td>722A</td><td></td></tr><tr><td>UV Curing Lamp</td><td>OmniCure</td><td>S1000</td><td></td></tr><tr><td>PMDS</td><td>Dow Chemical</td><td>Sylgard 184</td><td></td></tr><tr><td>Corona Wand</td><td>ETP</td><td>BD-20AC</td><td></td></tr><tr><td>Vacuum Chamber</td><td>Bel-Art</td><td>420220000</td><td></td></tr><tr><td>Microdispensers</td><td>The Lee Company</td><td>IKTX0322000A</td><td></td></tr><tr><td>5 V and 20 V DC Power</td><td>Radio Shack</td><td></td><td></td></tr><tr><td>NI USB</td><td>National Instrument</td><td>NI USB-6501</td><td></td></tr><tr><td>Thermometer</td><td>Omega Engineering, Inc.</td><td></td><td></td></tr><tr><td>Peristaltic Pump</td><td>Gilson</td><td>Minipulse 2</td><td></td></tr><tr><td>Oxygen Sensor</td><td>Ocean Optics</td><td>NeoFox</td><td></td></tr><tr><td>Fraction Collector</td><td>Gilson</td><td>203</td><td></td></tr><tr><td>Pippette</td><td>Fisher Scientific</td><td>Finnpipette II 100&amp;mu;l</td><td></td></tr><tr><td>Inverted Epifluorescence Microscope</td><td>Leica</td><td>DMI 4000B</td><td></td></tr><tr><td>50 ml Conical Tubes</td><td>Fisher Scientific</td><td></td><td></td></tr><tr><td>Fura-2 Fluorescence Dye</td><td>Molecular Probes, Life Technologies</td><td></td><td></td></tr><tr><td>Rhodamine 123 Fluorescence Dye</td><td>Molecular Probes, Life Technologies</td><td></td><td></td></tr><tr><td>Culture Media</td><td>Sigma-Aldrich</td><td>RPMI-1640</td><td></td></tr><tr><td>HEPES</td><td>Sigma-Aldrich</td><td></td><td></td></tr><tr><td>Glucose</td><td>Sigma-Aldrich</td><td></td><td></td></tr><tr><td>Bovine Serum Albumin</td><td>Sigma-Aldrich</td><td></td><td></td></tr><tr><td>30 in Silicone Tubings</td><td>Cole-Parmer</td><td></td><td>1/16 in x 1/8 in</td></tr><tr><td>1.5 ml Eppendorf Tubes</td><td>Fisher Scientific</td><td></td><td></td></tr><tr><td>Y-connectors</td><td>Cole-Parmer</td><td></td><td>1/16 in and 4 mm</td></tr><tr><td>Syringe Connectors</td><td>Cole-Parmer</td><td></td><td>female Luer plug 1/16 in</td></tr><tr><td>Straight Connectors</td><td>Cole-Parmer</td><td></td><td>1/16 in</td></tr><tr><td>Elbow Connector</td><td>Cole-Parmer</td><td></td><td>1/16 in</td></tr></tbody></table>

quantitative and temporal control of oxygen microenvironment at the single islet level

Simultaneous oxygenation and monitoring of glucose stimulus-secretion coupling factors in a single technique is critical for modeling pathophysiological states of islet hypoxia, especially in transplant environments. Standard hypoxic chamber techniques cannot modulate both stimulations at the same time nor provide real-time monitoring of glucose stimulus-secretion coupling factors. To address these difficulties, we applied a multilayered microfluidic technique to integrate both aqueous and gas phase modulations via a diffusion membrane. This creates a stimulation sandwich around the microscaled islets within the transparent polydimethylsiloxane (PDMS) device, enabling monitoring of the aforementioned coupling factors via fluorescence microscopy. Additionally, the gas input is controlled by a pair of microdispensers, providing quantitative, sub-minute modulations of oxygen between 0-21%. This intermittent hypoxia is applied to investigate a new phenomenon of islet preconditioning. Moreover, armed with multimodal microscopy, we were able to look at detailed calcium and KATP channel dynamics during these hypoxic events. We envision microfluidic hypoxia, especially this simultaneous dual phase technique, as a valuable tool in studying islets as well as many ex vivo tissues.

Central to this islet hypoxia technique is the ability to modulate aqueous and gaseous phase stimulation in the same microfluidic chamber with minute-scale transients. Figure 1 is a representative result of the a) dual stimulations and b) fast modulations measured within the islet chamber. Aqueous modulation, shown by introduction of fluorescein into the chamber, achieves equilibrium in three to four minutes of mixing. Furthermore, oxygen can be stepped from 5-21% with fast transients, enabling cycling of oxygen with periods as short as 2 min. Different cycling depths and frequencies can also be achieved as shown in Figure 2.
When this cycling is applied to create intermittent hypoxia at the islets, one can observe the benefits of preconditioning islets against hypoxia, as compared to a regular, normoxic pulse, Figure 3a. Because intracellular calcium flux&#8212;the signaling mechanism of insulin secretion&#8212;is monitored in real-time, effects of hypoxia and IH can be observed in the overshoot and oscillation damping of calcium transients, Figure 3b. These are important parameters associated with KATP channels suggested to control the preconditioning process. Furthermore, mitochondria&#39;s link to metabolism and hypoxia can be visualized by monitoring mitochondrial potentials using Rh123. Finally, collection of microfluidic effluents allows ELISA assay of the total insulin quantity. Calcium, mitochondrial potential, and insulin are three parameters that begin to build a multimodal view of the glucose-insulin response under hypoxic transients, Figure 3c.
<img alt="Figure 1" fo:content-width="4.4in" fo:src="/files/ftp_upload/50616/50616fig1highres.jpg" src="/files/ftp_upload/50616/50616fig1.jpg" /> 
Figure 1. Simultaneous oxygen and glucose stimulations. (a) Static controls. Top: chamber introduction of FITC molecule at 250 &#956;l/min stabilizes within 3 min of mixing time. Bottom: gas control provides stable delivery of 5, 10, and 21% oxygen at the membrane. (b) Temporal control. Cycling of oxygen between 5-21% is possible with 1 min period as measured both at the gas delivery (diffused) and surface of microwells (dissolved).
<img alt="Figure 2" fo:content-width="3in" fo:src="/files/ftp_upload/50616/50616fig2highres.jpg" src="/files/ftp_upload/50616/50616fig2.jpg" /> 
Figure 2. Microfluidic device can also generate other oxygen profiles. Different IH profiles can be obtained by varying the depth (5-10-15%) as well as the periods (3-6-1 min) of the cycling via gas mixing from the computerized microinjectors.
<img alt="Figure 3" fo:content-width="5.5in" fo:src="/files/ftp_upload/50616/50616fig3highres.jpg" src="/files/ftp_upload/50616/50616fig3.jpg" /> 
Figure 3. IH preconditioned islets have improved responses to hypoxia. (a) Representative overview of preconditioning using IH, totaling 30 min exposure at 5%, showing enhanced hypoxic response compared to normoxic pulse (same islet batch in a previous experiment). 10 more minutes of subsequent hypoxia still retains preconditioning. (b) Overlaid comparison of mean normoxic, hypoxic, and preconditioned hypoxic responses. Inset shows representative traces with recovery of oscillation behavior. (c) Multimodal Fura-2, insulin, and Rh123 responses for different oxygen and chemical conditions: 21% oxygen, 5% oxygen, preconditioning (P+5%), diazoxide (D+5%), and 5HD (5HD+P+5%). Diazoxide is consistent with preconditioning while 5HD negates the benefits of preconditioning by opening and blocking KATP channels, respectively. Two-tailed t-tests: 5% vs. 21%, 5% vs. P+5%, D+5% vs. 5HD+P+5%; *p&#60;0.05, **p&#60;0.01, ***p&#60;0.001.

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Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

Microfluidic oxygen control confers more than just convenience and speed over hypoxic chambers for biological experiments. Especially when implemented via diffusion through a membrane, microfluidic oxygen can provide simultaneous liquid and gas phase modulations at the microscale-level. This technique enables dynamic multi-parametric experiments critical for studying islet pathophysiology.

Simultaneous oxygenation and monitoring of glucose stimulus-secretion coupling factors in a single technique is critical for modeling pathophysiological ...

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Nanyang Technological University

Research

JoVE Journal

Bioengineering

9.1K Views.  University of Michigan-Dearborn. Microfluidic oxygen control confers more than just convenience and speed over hypoxic chambers for biological experiments. Especially when implemented via diffusion through a membrane, microfluidic oxygen can provide simultaneous liquid and gas phase modulations at the microscale-level. This technique enables dynamic multi-parametric experiments critical for studying islet pathophysiology.

Video: Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Pancreatic islets comprise of endocrine cells with distinctive hormone expression patterns. The endocrine cells show functional differences in response to normal and pathological conditions. The goal of this protocol is to generate high-quality, large-scale transcriptome data of each endocrine cell type with the use of a droplet-based microfluidic single-cell RNA sequencing technology. Such data can be utilized to build the gene expression profile of each endocrine cell type in normal or specific conditions. The process requires careful handling, accurate measurement, and rigorous quality control. In this protocol, we describe detailed steps for human pancreatic islets dissociation, sequencing, and data analysis. The representative results of about 20,000 human single islet cells demonstrate the successful application of the protocol.

Here, we present a protocol to generate high-quality, large-scale transcriptome data of single cells from isolated human pancreatic islets using a droplet-based microfluidic single-cell RNA sequencing technology.

Pancreatic islets comprise of endocrine cells with distinctive hormone expression patterns. The endocrine cells show functional differences in response to ...

Genetics

A Multi-Parametric Islet Perifusion System within a Microfluidic Perifusion Device

A microfluidic islet perifusion device was developed for the assessment of dynamic insulin secretion of multiple islets and simultaneous fluorescence imaging of calcium influx and mitochondrial potential changes. The device consists of three layers: first layer contains an array of microscale wells (500 &mu;m diameter and 150 &mu;m depth) that help to immobilize the islets while exposed to flow and maximize the exposed surface area of the islets; the second layer contains a circular perifusion chamber (3 mm deep, 7 mm diameter); and the third layer contains an inlet-mixing channel that fans out before injection into the perifusion chamber (2 mm in width, 19 mm in length, and 500 &mu;m in height) for optimizing the mixing efficiency prior to entering the perifusion chamber. The creation of various glucose gradients including a linear, bell shape, and square shapes also can be created in the microfluidic perifusion network and is demonstrated.

A microfluidic islet perifusion device was developed for the assessment of dynamic insulin secretion of multiple islets and simultaneous fluorescence imaging of calcium influx and mitochondrial potential changes.

A microfluidic islet perifusion device was developed for the assessment of dynamic insulin secretion of multiple islets and simultaneous fluorescence ...

Biology

Analysis of Non-Human Primate Pancreatic Islet Oxygen Consumption

The measurement of oxygen consumption in spheroid clusters of cells, such as ex vivo pancreatic islets, has historically been challenging. We demonstrate the measurement of islet oxygen consumption using a 96-well microplate designed for the measurement of oxygen consumption in spheroids. In this assay, spheroid microplates are coated with a cell and tissue adhesive on the day prior to the assay. We utilize a small volume of adhesive solution to encourage islet adherence to only the bottom of the well. On the day of the assay, 15 islets are loaded directly into the base of each well using a technique that ensures optimal positioning of islets and accurate measurement of oxygen consumption. Various aspects of mitochondrial respiration are probed pharmacologically in non-human primate islets, including ATP-dependent respiration, maximal respiration, and proton leak. This method allows for consistent, reproducible results using only a small number of islets per well. It can theoretically be applied to any cultured spheroids of similar size.

This protocol demonstrates the accurate and reproducible measurement of oxygen consumption in non-human primate pancreatic islets. The islet loading techniques and coating of the microplate provide a framework for efficient measurement of respiration in other types of cultured spheroids.

The measurement of oxygen consumption in spheroid clusters of cells, such as ex vivo pancreatic islets, has historically been challenging. We demonstrate ...

Developmental Biology

Leprdb Mouse Model of Type 2 Diabetes: Pancreatic Islet Isolation and Live-cell 2-Photon Imaging Of Intact Islets

Type 2 diabetes is a chronic disease affecting 382 million people in 2013, and is expected to rise to 592 million by 2035 1. During the past 2 decades, the role of beta-cell dysfunction in type 2 diabetes has been clearly established 2. Research progress has required methods for the isolation of pancreatic islets. The protocol of the islet isolation presented here shares many common steps with protocols from other groups, with some modifications to improve the yield and quality of isolated islets from both the wild type and diabetic Leprdb (db/db) mice. A live-cell 2-photon imaging method is then presented that can be used to investigate the control of insulin secretion within islets.

Leprdb Mouse Model of Type 2 Diabetes: Pancreatic Islet Isolation and Live-cell 2-Photon Imaging Of Intact Islets

We present here a protocol for the isolation of islets from the mouse model of type 2 diabetes, Leprdb and details of a live-cell assay for measurement of insulin secretion from intact islets that utilizes 2 photon microscopy.

Type 2 diabetes is a chronic disease affecting 382 million people in 2013, and is expected to rise to 592 million by 2035 1. During the past 2 decades, ...

Medicine

A Method for Mouse Pancreatic Islet Isolation and Intracellular cAMP Determination

Uncontrolled glycemia is a hallmark of diabetes mellitus and promotes morbidities like neuropathy, nephropathy, and retinopathy. With the increasing prevalence of diabetes, both immune-mediated type 1 and obesity-linked type 2, studies aimed at delineating diabetes pathophysiology and therapeutic mechanisms are of critical importance. The &#946;-cells of the pancreatic islets of Langerhans are responsible for appropriately secreting insulin in response to elevated blood glucose concentrations. In addition to glucose and other nutrients, the &#946;-cells are also stimulated by specific hormones, termed incretins, which are secreted from the gut in response to a meal and act on &#946;-cell receptors that increase the production of intracellular cyclic adenosine monophosphate (cAMP). Decreased &#946;-cell function, mass, and incretin responsiveness are well-understood to contribute to the pathophysiology of type 2 diabetes, and are also being increasingly linked with type 1 diabetes. The present mouse islet isolation and cAMP determination protocol can be a tool to help delineate mechanisms promoting disease progression and therapeutic interventions, particularly those that are mediated by the incretin receptors or related receptors that act through modulation of intracellular cAMP production. While only cAMP measurements will be described, the described islet isolation protocol creates a clean preparation that also allows for many other downstream applications, including glucose stimulated insulin secretion, [3H]-thymidine incorporation, protein abundance, and mRNA expression.

Assaying in vitro &#946;-cell function using isolated mouse islets of Langerhans is an important component in the study of diabetes pathophysiology and therapeutics. While many&#160;downstream applications are available, this protocol specifically describes the measurement of intracellular cyclic adenosine monophosphate (cAMP) as an essential parameter determining &#946;-cell function.

Uncontrolled glycemia is a hallmark of diabetes mellitus and promotes morbidities like neuropathy, nephropathy, and retinopathy. With the increasing ...

Longitudinal In Vivo Imaging and Quantification of Human Pancreatic Islet Grafting and Contributing Host Cells in the Anterior Eye Chamber

Imaging beta cells is a key step towards understanding islet transplantation. Although different imaging platforms for the recording of beta cell biology have been developed and utilized in vivo, they are limited in terms of allowing single cell resolution and continuous longitudinal recordings. Because of the transparency of the cornea, the anterior chamber of the eye (ACE) in mice is well suited to study human and mouse pancreatic islet cell biology. Here is a description of how this approach can be used to perform continuous longitudinal recordings of grafting and revascularization of individual human islet grafts. Human islet grafts are inserted into the ACE, using NOD.(Cg)-Gt(ROSA)26Sortm4-Rag2-/-mice as recipients. This allows for the investigation of the expansion of recipient versus donor cells and the contribution of recipient cells in promoting the encapsulation and vascularization of the graft. Further, a step-by-step approach for image analysis and quantification of the islet volume or segmented vasculature and islet capsule forming recipient cells is outlined.

The goal of this protocol is to continuously monitor the dynamics of the human pancreatic islet engraftment process and the contributing host versus donor cells. This is accomplished by transplanting human islets into the anterior chamber of the eye (ACE) of an NOD.(Cg)-Gt(ROSA)26Sortm4-Rag2-/-mouse recipient followed by repeated 2-photon imaging.

Imaging beta cells is a key step towards understanding islet transplantation. Although different imaging platforms for the recording of beta cell biology ...

High-resolution Respirometry to Measure Mitochondrial Function of Intact Beta Cells in the Presence of Natural Compounds

High-resolution respirometry allows for the measurement of oxygen consumption of isolated mitochondria, cells and tissues. Beta cells play a critical role in the body by controlling blood glucose levels through insulin secretion in response to elevated glucose concentrations. Insulin secretion is controlled by glucose metabolism and mitochondrial respiration. Therefore, measuring intact beta cell respiration is essential to be able to improve beta cell function as a treatment for diabetes. Using intact 832/13 INS-1 derived beta cells we can measure the effect of increasing glucose concentration on cellular respiration. This protocol allows us to measure beta cell respiration in the presence or absence of various compounds, allowing one to determine the effect of given compounds on intact cell respiration. Here we demonstrate the effect of two naturally occurring compounds, monomeric epicatechin and curcumin, on beta cell respiration under the presence of low (2.5 mM) or high glucose (16.7 mM) conditions. This technique can be used to determine the effect of various compounds on intact beta cell respiration in the presence of differing glucose concentrations.

The goal of this protocol is to measure the effect of glucose-mediated changes to mitochondrial respiration in the presence of natural compounds on intact 832/13 beta cells using high-resolution respirometry.

High-resolution respirometry allows for the measurement of oxygen consumption of isolated mitochondria, cells and tissues. Beta cells play a critical role ...

Analysis of Beta-cell Function Using Single-cell Resolution Calcium Imaging in Zebrafish Islets

Pancreatic beta-cells respond to increasing blood glucose concentrations by secreting the hormone insulin. The dysfunction of beta-cells leads to hyperglycemia and severe, life-threatening consequences. Understanding how the beta-cells operate under physiological conditions and what genetic and environmental factors might cause their dysfunction could lead to better treatment options for diabetic patients. The ability to measure calcium levels in beta-cells serves as an important indicator of beta-cell function, as the influx of calcium ions triggers insulin release. Here we describe a protocol for monitoring the glucose-stimulated calcium influx in zebrafish beta-cells by using GCaMP6s, a genetically encoded sensor of calcium. The method allows monitoring the intracellular calcium dynamics with single-cell resolution in ex vivo mounted islets. The glucose-responsiveness of beta-cells within the same islet can be captured simultaneously under different glucose concentrations, which suggests the presence of functional heterogeneity among zebrafish beta-cells. Furthermore, the technique provides high temporal and spatial resolution, which reveals the oscillatory nature of the calcium influx upon glucose stimulation. Our approach opens the doors to use the zebrafish as a model to investigate the contribution of genetic and environmental factors to beta-cell function and dysfunction.

Beta-cell functionality is important for blood-glucose homeostasis, which is evaluated at single-cell resolution using a genetically encoded reporter for calcium influx.

Pancreatic beta-cells respond to increasing blood glucose concentrations by secreting the hormone insulin. The dysfunction of beta-cells leads to ...

Imaging Calcium Dynamics in Subpopulations of Mouse Pancreatic Islet Cells

Pancreatic islet hormones regulate blood glucose homeostasis. Changes in blood glucose induce oscillations of cytosolic calcium in pancreatic islet cells that trigger secretion of three main hormones: insulin (from &#946;-cells), glucagon (&#945;-cells) and somatostatin (&#948;-cells). &#946;-Cells, which make up the majority of islet cells and are electrically coupled to each other, respond to the glucose stimulus as one single entity. The excitability of the minor subpopulations, &#945;-cells and &#948;-cells (making up around 20% (30%) and 4% (10%) of the total rodent1 (human2) islet cell numbers, respectively) is less predictable and is therefore of special interest.
Calcium sensors are delivered into the peripheral layer of cells within the isolated islet. The islet or a group of islets is then immobilized and imaged using a fluorescence microscope. The choice of the imaging mode is between higher throughput (wide-field) and better spatial resolution (confocal). Conventionally, laser scanning confocal microscopy is used for imaging tissue, as it provides the best separation of the signal between the neighboring cells. A wide-field system can be utilized too, if the contaminating signal from the dominating population of &#946;-cells is minimized.
Once calcium dynamics in response to specific stimuli have been recorded, data are expressed in numerical form as fluorescence intensity vs. time, normalized to the initial fluorescence and baseline-corrected, to remove the effects linked to bleaching of the fluorophore. Changes in the spike frequency or partial area under the curve (pAUC) are computed vs. time, to quantify the observed effects. pAUC is more sensitive and quite robust whereas spiking frequency provides more information on the mechanism of calcium increase.
Minor cell subpopulations can be identified using functional responses to marker compounds, such as adrenaline and ghrelin, that induce changes in cytosolic calcium in a specific populations of islet cells.

Here, we present a protocol for imaging and quantifying calcium dynamics in heterogeneous cell populations, such as pancreatic islet cells. Fluorescent reporters are delivered into the peripheral layer of cells within the islet, which is then immobilized and imaged, and per-cell analysis of the dynamics of fluorescence intensity is performed.

Pancreatic islet hormones regulate blood glucose homeostasis. Changes in blood glucose induce oscillations of cytosolic calcium in pancreatic islet cells ...

Confocal Laser Scanning Microscopy of Calcium Dynamics in Acute Mouse Pancreatic Tissue Slices

The acute mouse pancreatic tissue slice is a unique in situ preparation with preserved intercellular communication and tissue architecture that entails significantly fewer preparation-induced changes than isolated islets, acini, ducts, or dispersed cells described in typical in vitro studies. By combining the acute pancreatic tissue slice with live-cell calcium imaging in confocal laser scanning microscopy (CLSM), calcium signals can be studied in a large number of endocrine and exocrine cells simultaneously, with a single-cell or even subcellular resolution. The sensitivity permits the detection of changes and enables the study of intercellular waves and functional connectivity as well as the study of the dependence of physiological responses of cells on their localization within the islet and paracrine relationship with other cells. Finally, from the perspective of animal welfare, recording signals from a large number of cells at a time lowers the number of animals required in experiments, contributing to the 3R-replacement, reduction, and refinement-principle.

We present the preparation of acute pancreatic tissue slices and their use in confocal laser scanning microscopy to study calcium dynamics simultaneously in a large number of live cells, over long time periods, and with high spatiotemporal resolution.

The acute mouse pancreatic tissue slice is a unique in situ preparation with preserved intercellular communication and tissue architecture that entails ...

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

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