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Microfluidic Cell Culture: a way toward flow cells

Flow cell title e1659364419369
Traditionally, the culture of live cells outside the body is performed in monolayers inside static polymer-coated plastic flasks placed in CO2 incubators, which maintain a high level of humidity and constant temperature (37 oC), and concentration of CO2 (5%) for pH buffering. The cultures are composed of a single cell type to facilitate analysis and avoid cross-contamination.1 Cell culture provides a platform to study cellular behaviour in a systematic way, with proper isolation of variables and clear experimental design, allowing investigations that would not be ethical to be conducted in humans while reducing the use of non-analogous animal models. Moreover, the advent of cell culture has been undeniably responsible for historical achievements in the biomedical area, such as the polio vaccine, the connection between viruses and cancer, the emergence of the genetic engineering field, etc.2
Nevertheless, it is a reductionist approach that fails to represent the intrinsic complexity of cell differentiation, and interaction, tissue function, drug response, and the dynamic and intricate microenvironment present in in vivo biology (Fig. 1.). These physical and chemical signals are crucial for cellular development and behaviour, and their absence leads to poor translation between in vitro and in vivo systems. Furthermore, traditional cell culture protocols are time-consuming and labour-intensive].3 These limitations have profound effects on the health and pharmaceutical industries, resulting in inefficient and increasingly costly drug development processes. It is estimated that roughly 40% of new drug candidates that reach clinical trials fail due to unforeseen toxicity effects in humans.4 Closing the gap between preclinical and clinical data translation calls for better methods to predict human responses.
Microfluidic flow cell microenvironment 1536x518 1
Figure 1. Illustration of the signals in the cell microenvironment. Chemical and temperature gradients, cell-to-cell interactions, molecular signalling from different cell types, and physical stimuli are vital for cell development and behaviour, being poorly represented in traditional cell culture. Reproduced from Coluccio et al.1
Miniaturising cell cultures into microfluidic systems can address some of the mentioned drawbacks and can also provide other interesting features. The minute volumes dealt with in microfluidics substantially reduce the necessary amount of reagents required for traditional cell culture, which, besides directly reducing costs, is especially advantageous when handling limited or rare samples, such as patient primary cells (those collected directly from patients as opposed to immortalised cell lines5). Also, handling smaller quantities of cells decreases the heterogeneity of the culture, so complex cell behaviour is more readily distinguishable. The easiness of fabrication of microfluidics devices provided the foreground for designed co-culture chips, in which the key aspects of the cellular microenvironment can be reproduced, i.e. the co-culture of different types of cells without cross-contamination, and replication of physical stimulus and chemical gradients with high spatiotemporal precision due to user-controlled flow.3 The advent of flowing media continuously or on-demand on top of the cells is of particular interest because it not only replicates the dynamic environment of the human body, it also automates much of the laborious cell culture practices. That, allied with the high level of control provided by the laminar flow and predefined channel geometries, leverage the precise addition of compounds of interest or sampling of the microenvironment without much disruption to the cells. Moreover, high throughput can be achieved by parallelising multiple microfluidic devices, in which in situ monitoring and analysis can be integrated and performed in a continuous manner.1,3

The advantages of microfluidic cell culture, which can easily mimic the cellular microenvironment and provide a high level of control in addition to automated monitoring and analysis, led to the development of the “organ-on-chip” (OoC) field in the 2010s, currently one of the most relevant areas of research in microfluidics.6 OoCs are specialised in vitro cell culture models based on microfluidic devices that are structured around three main pillars: reproducing the mechanical and biochemical stimulus of the cellular microenvironment; simulating the 3D microarchitecture of tissues with multiple cell types placed in specific communicating compartments; and, replicating functional tissue-tissue interfaces via cell-cell interaction (Fig. 2.a.). The main goal is to reproduce complex in vivo biology to better understand cellular behaviour and metabolism, disease phenotypes, and drug response without the need for insufficient in vitro models or imprecise animal models.7

Several organ-on-chip devices have been successfully developed, namely, liver8, lung7,9, kidney10, heart11,12, intestine13, bone14 and bone marrow15, nerve16, blood vessels17,18, and blood-brain barrier19 (Fig. 2.b.). They have demonstrated drug responses closer to human physiology when compared to standard in vitro models, with the enhanced complexity leading to better cell differentiation and drug transport.20 As OoC models mature, the interconnection of several OoCs in a “human-on-chip” approach becomes feasible and has been investigated by several groups in different configurations.21–24 An emerging area that has the potential to deeply change modern medicine is the development of OoC with induced pluripotent stem cells derived from patients. This has the potential to be a paradigm shift in personalised medicine and the development of patient-specific treatments.
Flow cells for organ on chips systems 1536x492 1
Figure 2. Organ-on-chip systems. a. Schematic of the cross-section of a specialized organ-on-chip device, a lung-on-a-chip, highlighting the tissue interface and the vacuum chambers for mechanical stimulus. Adapted from Huh et al.7. b. Illustration of different organ-on-chips, specifically, bone-, liver-, gut-, lung-, heart- and kidney-on-chip.
The increase in complexity of cell cultures enabled by microfluidics opened the possibility of more in-depth spatiotemporal analysis of cellular development and behaviour, further increasing the importance of tools such as live-cell imaging25, metabolic detection and analysis26, and microenvironmental monitoring of parameters such as pH 27. Consequently, the long-term culturing of cells in OoCs moved from the CO2 incubator to the microscope stage. As the complexity of the systems increased and the access to more detailed information deepened, enhanced resolution and real-time monitoring of the systems became a clear demand 26,28. Thus, a growing need to more closely monitor temperature, pH and dissolved O2, allied with increased interest in having a better understanding of the in situ metabolic activity, led to a plethora of on-chip and off-chip sensing solutions.

The importance of pH monitoring

As previously mentioned, the gap between preclinical and clinical data causes huge losses for the health sector, besides delaying access to treatment for patients. One of the contributing factors of this global issue has been attributed to the variables of microenvironment conditions. 29 Cell lines require a stable pH to grow, as acidic pH can irreversibly inhibit enzyme activities and the synthesis of DNA, RNA, and protein, thus compromising cell viability. 30,31 pH is defined as the concentration of free H+ ions in a solution, also called the activity of protons, and can be calculated by the Henderson-Hasselbalch equation:
Flow cell equation 400x60 1
in which pka is the acid dissociation constant; [HB] is the concentration of a compound’s protonated form; and [B] is the concentration of a compound’s unprotonated form.

Buffering systems are capable of maintaining the pH constant due to a dynamic equilibrium. The equilibrium between the protonated and unprotonated forms of the buffer can move towards reacting to new free H+ or releasing H+ ions to compensate for ions that were added or removed from the surrounding solution. Both mechanisms have the effect of keeping the previous free H+ concentration constant to a certain extent. If the addition or removal of free H+ goes beyond a threshold that can be absorbed by the buffer, the pH will change, i.e., the buffering capacity of the solution was surpassed32. That is why complex organisms, such as mammalians, have developed dynamic buffering systems that adjust the concentration of the buffer according to the system’s needs.

The physiological buffering system is based on the equilibrium of CO2/HCO3– (bicarbonate buffering system, pKa = 6.15). The lungs, through the gas exchange of CO2, and the kidneys, through ion transport proteins, are responsible for keeping the ratio of the protonated to unprotonated species of this buffering system in homeostasis, and the pH of the organism within the physiological range (Fig. 3.a.). Cell metabolism is bound to acidify the pH of the microenvironment due to the production and release of lactate, which reacts with water to form lactic acid. For this reason, cell culture media usually contains a buffering system to keep pH under physiological conditions.33 Besides the CO2/HCO3– buffer, media can be buffered by non-volatile buffers (NVB), such as HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid) (pKa = 7.3; 37 °C), PIPES (piperazine-N,N′-bis(2-ethanesulphonic acid); pKa = 6.7) and MES (2-(N-morpholino)-ethanesulfonic acid; pKa = 6.0)34. However, NVBs in cell culture media are out of the scope of this review; detailed work on the topic can be found in Michl et al., 2019.35

The bicarbonate buffering system is replicated in cell biology labs with the aid of a CO2 incubator. This system works through the equilibrium of CO2 from the CO2-rich atmosphere of the incubator, which dissolves in the media and reacts with H2O forming carbonic acid, and the NaHCO3 present in the media (Fig. 3.b.). Cell culture media come with different concentrations of NaHCO3 and require different percentages of CO2. For example, DMEM comes with 44 mM of NaHCO3, which requires approximately 10% of CO2 in the atmosphere to maintain the pH close to 7.4. CO2 incubators are conventionally set to 5% CO2, which keeps the pH of DMEM around 7.6–7.8. The production of lactic acid and CO2 by healthy cells and the buffering capacity of serum, often added to DMEM, partially offset this difference, allowing the growth of cells with DMEM using conventional CO2 concentrations.35 However, the implications of this adjustment are not well-understood. The intracellular pH of cells is in close equilibrium with the extracellular pH of the microenvironment due to the transmembrane ion transporter proteins. Michl et al.35 studied the effect of extracellular pH change on intracellular pH and concluded that cells re-balance the internal pH based on the external one. Since most H+ targets are intracellular, this change can affect intracellular mechanisms and metabolic pathways in unpredictable ways.

flow cell bicarbonate buffering system
Figure 3. Bicarbonate buffering system. a. Illustration of the bicarbonate buffering system in the human body, highlighting the equilibrium provided by lungs and kidneys. b. Bicarbonate buffering system inside the CO2-rich atmosphere of the CO2 incubator reacting with the salt present in the media.

When the culturing system is downscaled to micron-range in OoCs, substantially reducing the volumes, the monitoring of pH becomes even more important. Small variations in pH, e.g., 7.4 ± 0.3, are tolerated in traditional cell culture; however, the more accentuated diffusional processes of microfluidic cell culture result in a more pronounced effect on cell viability, prompting closer monitoring of crucial environmental parameters.31

Monitoring cell culture environment with flow cells

The measurement of metabolic activity in microfluidic cell culture is usually done with on-chip solutions. For example, Weltin et al.36 developed a microphysiometer system in a microfluidic chip with dissolved O2 and pH electrochemical sensors inside the culturing chamber. The authors successfully cultured brain cancer cells with online and continuous measurement of the cells’ metabolism. However, these solutions prove too complex and costly37 when the goal is to monitor the cell culture environment, which does not require the same level of detailed information. For that, microfluidic off-chip solutions, such as microfluidic flow cells, are more apt.

Microfluidic flow-through cells can be developed in-house38–40, which are usually 3D-printed41, or commercially available42–46. The format can vary according to the application, such as T-junctions for HPLC applications or other geometrical structures fitted to house the sensor (Fig. 4). The main goal is to place the sensors in line with the microfluidic system to allow for continuous monitoring.

Microfluidic flow cell setup
Figure 4. Cell culture pH monitoring. a. Examples of different flow-through cells for pH monitoring. The first three are commercially available from different suppliers, the fourth was developed and 3D-printed in-house. b. Schematic of a microfluidic setup with an in-line microfluidic flow cell and pH sensor.

A good example is the work of Zhang et al.47 who developed a “physical sensing unit” composed of pH, O2, and temperature sensors in a flow-through cell developed in-house to monitor the microenvironment of a complex organ-on-chip system. The system was designed as a modular platform to control two organ-on-chips connected to an automated flow control breadboard. Interestingly, the biomarker sensing unit, i.e., the sensors to measure the metabolism, was also off-chip. The platform was validated with a drug screening assay using liver and heart organ-on-chips, exposed to acetaminophen for 5 days and doxorubicin for 24 h, where cytotoxicity biomarkers were detected and quantified.

Farooqi et al.26 3D-printed a pH sensing flow-through cell to house an optical pH sensor built with commercially available parts that measured pH based on the colour of the phenol red present in the media. The goal was to monitor a live-on-chip system also intended to investigate the drug toxicity of doxorubicin. The researchers were able to detect a decrease in pH when cells were exposed to high concentrations of the drug when compared to the control. The same group performed similar work with a lung-on-chip system48, attesting to the robustness of the developed sensing unit. Fibroblasts had pH and O2 monitored for 3 days in a similar fashion by Ali et al.49. Also, using the phenol red of the media, Wu et al.50 designed a high-throughput pH sensing unit, which consists of parallelised microfluidic channels with a sensing chamber connected to optical pH sensors. They performed simulations to define the best shape of the sensing chamber, resulting in an oval shape, and the thickness of the PDMS layer was also decreased to minimise the loss of light transmission.

Optical sensors seem the most common choice for microfluidic flow-through cells due to their independence from reference electrodes, electrical connections, and flow rates. Also, they are not prone to biofouling, corrosion, and interference from electrochemical signals from molecules present in the medium.49

Off-chip flow cell for monitoring Conclusion and Outlook

The important growth of organ-on-chip technologies brought with it an increased need to monitor more closely what was happening inside the chips. Several on-chip and off-chip solutions have been designed, and microfluidic flow cells seem to be the way forward for microenvironment pH monitoring. On-chip sensors are suited for the detection of metabolic activity that can benefit from high spatiotemporal resolution. However, these solutions are too costly and complex for microenvironment monitoring, which does not require the same level of precision. For microenvironment monitoring, microfluidic flow cells with embedded optical sensors, which are placed in the microfluidic circuit for real-time and continuous monitoring, have been the most common choice.

H2020 MC Logo Lung on Chip Elveflow Startup Technology Innovation NBIC Valley 300x117 1

Review done thanks to the support of the Protomet H2020-MSCA-ITN-2018-Action “Innovative Training Networks”, Grant agreement number: 813873.

Author: Camila Betterelli Giuliano, PhD

  1. Coluccio, M. L. et al. Microfluidic platforms for cell cultures and investigations. Microelectron. Eng. 208, 14–28 (2019).
  2. Lyapun, I. N., Andryukov, B. G. & Bynina, M. P. HeLa Cell Culture: Immortal Heritage of Henrietta Lacks. Mol. Genet. Microbiol. Virol. 34, 195–200 (2019).
  3. Mehling, M. & Tay, S. Microfluidic cell culture. Curr. Opin. Biotechnol. 25, 95–102 (2014).
  4. Van Norman, G. A. Limitations of Animal Studies for Predicting Toxicity in Clinical Trials: Is it Time to Rethink Our Current Approach? JACC Basic to Transl. Sci. 4, 845–854 (2019).
  5. Berthier, E., Surfus, J., Verbsky, J., Huttenlocher, A. & Beebe, D. An arrayed high-content chemotaxis assay for patient diagnosis. Integr. Biol. 2, 630–638 (2010).
  6. Convery, N. & Gadegaard, N. 30 years of microfluidics. Micro Nano Eng. 2, 76–91 (2019).
  7. Huh, D. et al. Reconstituting organ-level lung functions on a chip. Science (80-. ). 328, 1662–1668 (2010).
  8. Novik, E., Maguire, T. J., Chao, P., Cheng, K. C. & Yarmush, M. L. A microfluidic hepatic coculture platform for cell-based drug metabolism studies. Biochem. Pharmacol. 79, 1036–1044 (2010).
  9. Stucki, A. O. et al. A lung-on-a-chip array with an integrated bio-inspired respiration mechanism. Lab Chip 15, 1302–1310 (2015).
  10. Jang, K. J. et al. Human kidney proximal tubule-on-a-chip for drug transport and nephrotoxicity assessment. Integr. Biol. 5, 1119–1129 (2013).
  11. Grosberg, A., Alford, P. W., McCain, M. L. & Parker, K. K. Ensembles of engineered cardiac tissues for physiological and pharmacological study: Heart on a chip. Lab Chip 11, 4165–4173 (2011).
  12. Kobuszewska, A., Jastrzębska, E., Żukowski, K. & Brzózka, Z. Simulation of hypoxia of myocardial cells in microfluidic systems. Sci. Reports 10, 1–11 (2020).
  13. Kim, H. J. & Ingber, D. E. Gut-on-a-Chip microenvironment induces human intestinal cells to undergo villus differentiation. Integr. Biol. 5, 1130–1140 (2013).
  14. Mansoorifar, A., Gordon, R., Bergan, R. C. & Bertassoni, L. E. Bone-on-a-Chip: Microfluidic Technologies and Microphysiologic Models of Bone Tissue. Adv. Funct. Mater. 31, 2006796 (2021).
  15. Torisawa, Y. S. et al. Bone marrow–on–a–chip replicates hematopoietic niche physiology in vitro. Nat. Methods 11, 663–669 (2014).
  16. Shi, M. et al. Glia co-culture with neurons in microfluidic platforms promotes the formation and stabilization of synaptic contacts. Lab Chip 13, 3008–3021 (2013).
  17. Van Der Meer, A. D., Orlova, V. V., Ten Dijke, P., Van Den Berg, A. & Mummery, C. L. Three-dimensional co-cultures of human endothelial cells and embryonic stem cell-derived pericytes inside a microfluidic device. Lab Chip 13, 3562–3568 (2013).
  18. Yu, F., Selva Kumar, N. D., Choudhury, D., Foo, L. C. & Ng, S. H. Microfluidic platforms for modeling biological barriers in the circulatory system. Drug Discov. Today 23, 815–829 (2018).
  19. Booth, R. & Kim, H. Characterization of a microfluidic in vitro model of the blood-brain barrier (μBBB). Lab Chip 12, 1784–1792 (2012).
  20. Bhatia, S. N. & Ingber, D. E. Microfluidic organs-on-chips. Nat. Biotechnol. 32, 760–772 (2014).
  21. Novak, R. et al. Robotic fluidic coupling and interrogation of multiple vascularized organ chips. Nat. Biomed. Eng. 4, 407–420 (2020).
  22. Zhang, C., Zhao, Z., Abdul Rahim, N. A., Van Noort, D. & Yu, H. Towards a human-on-chip: Culturing multiple cell types on a chip with compartmentalized microenvironments. Lab Chip 9, 3185–3192 (2009).
  23. Luni, C., Serena, E. & Elvassore, N. Human-on-chip for therapy development and fundamental science. Curr. Opin. Biotechnol. 25, 45–50 (2014).
  24. Renggli, K., Rousset, N., Lohasz, C., Nguyen, O. T. P. & Hierlemann, A. Integrated Microphysiological Systems: Transferable Organ Models and Recirculating Flow. Adv. Biosyst. 3, 1900018 (2019).
  25. Schneckenburger, H. & Richter, V. Challenges in 3D live cell imaging. Photonics 8, (2021).
  26. Kim, B. S. et al. Real-time physiological sensor-based liver-on-chip device for monitoring drug toxicity. J. Micromechanics Microengineering 30, 115013 (2020).
  27. Kilic, T., Navaee, F., Stradolini, F., Renaud, P. & Carrara, S. Organs-on-chip monitoring: sensors and other strategies. Microphysiological Syst. 1, 1–1 (2018).
  28. Santbergen, M. J. C., van der Zande, M., Bouwmeester, H. & Nielen, M. W. F. Online and in situ analysis of organs-on-a-chip. TrAC Trends Anal. Chem. 115, 138–146 (2019).
  29. Begley, C. G. & Ellis, L. M. Drug development: Raise standards for preclinical cancer research. Nature 483, 531–533 (2012).
  30. Morita, T., Nagaki, T., Fukuda, I. & Okumura, K. Clastogenicity of low pH to various cultured mammalian cells. Mutat. Res. Mol. Mech. Mutagen. 268, 297–305 (1992).
  31. Lu, C. & Verbridge, S. S. Microfluidic methods for molecular biology. Microfluid. Methods Mol. Biol. 1–376 (2016). doi:10.1007/978-3-319-30019-1
  32. Scorpio, R. Fundamentals of Acids, Bases, Buffers & Their Application to Biochemical Systems. (Kendall Hunt Pub Co, 2000).
  33. Salis, A. & Monduzzi, M. Not only pH. Specific buffer effects in biological systems. Curr. Opin. Colloid Interface Sci. 23, 1–9 (2016).
  34. Eagle, H. Buffer combinations for mammalian cell culture. Science 174, 500–503 (1971).
  35. Michl, J., Park, K. C. & Swietach, P. Evidence-based guidelines for controlling pH in mammalian live-cell culture systems. Commun. Biol. 2, 1–12 (2019).
  36. Weltin, A. et al. Cell culture monitoring for drug screening and cancer research: a transparent, microfluidic, multi-sensor microsystem. Lab Chip 14, 138–146 (2013).
  37. Fuchs, S. et al. In-line analysis of organ-on-chip systems with sensors: Integration, fabrication, challenges, and potential. ACS Biomater. Sci. Eng. 7, 2926–2948 (2021).
  38. Pousti, M., Zarabadi, M. P., Abbaszadeh Amirdehi, M., Paquet-Mercier, F. & Greener, J. Microfluidic bioanalytical flow cells for biofilm studies: a review. Analyst 144, 68–86 (2018).
  39. Chauvet, A., Tibiletti, T., Caffarri, S. & Chergui, M. A microfluidic flow-cell for the study of the ultrafast dynamics of biological systems. Rev. Sci. Instrum. 85, 103118 (2014).
  40. Akin, M. et al. A new set up for multi-analyte sensing: At-line bio-process monitoring. Biosens. Bioelectron. 26, 4532–4537 (2011).
  41. Capel, A. J., Rimington, R. P., Lewis, M. P. & Christie, S. D. R. 3D printing for chemical, pharmaceutical and biological applications. Nat. Rev. Chem. 2, 422–436 (2018).
  42. Strebl, M. G., Bruns, M. P., Schulze, G. & Virtanen, S. Respirometric In Situ Methods for Real-Time Monitoring of Corrosion Rates: Part II. Immersion. J. Electrochem. Soc. 168, 011502 (2021).
  43. Ahmerkamp, S. et al. The effect of sediment grain properties and porewater flow on microbial abundance and respiration in permeable sediments. Sci. Reports 10, 1–12 (2020).
  44. Higuera, G. A. et al. Spatiotemporal proliferation of human stromal cells adjusts to nutrient availability and leads to stanniocalcin-1 expression in vitro and in vivo. Data Br. 5, 84–94 (2015).
  45. Illner, S., Hofmann, C., Löb, P. & Kragl, U. A Falling-Film Microreactor for Enzymatic Oxidation of Glucose. ChemCatChem 6, 1748–1754 (2014).
  46. Krejčí, J. et al. The measurement of small flow. Sensors Actuators A Phys. 266, 308–313 (2017).
  47. Zhang, Y. S. et al. Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors. Proc. Natl. Acad. Sci. U. S. A. 114, E2293–E2302 (2017).
  48. Khalid, M. A. U. et al. A lung cancer-on-chip platform with integrated biosensors for physiological monitoring and toxicity assessment. Biochem. Eng. J. 155, 107469 (2020).
  49. Ali, S., Shaegh, M., De Ferrari, F. & Zhang, Y. S. A microfluidic optical platform for real-time monitoring of pH and oxygen in microfluidic bioreactors and organ-on-chip devices. Biomicrofluidics 10, 044111 (2016).
  50. Wu, M. H., Lin, J. L., Wang, J., Cui, Z. & Cui, Z. Development of high throughput optical sensor array for on-line pH monitoring in micro-scale cell culture environment. Biomed. Microdevices 11, 265–273 (2009).

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