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Editorial

Editorial for the Special Issue on Microfluidics for Cells and Other Organisms

Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden
Micromachines 2019, 10(8), 520; https://doi.org/10.3390/mi10080520
Submission received: 29 July 2019 / Accepted: 30 July 2019 / Published: 5 August 2019
(This article belongs to the Special Issue Microfluidics for Cells and Other Organisms)
It is my great pleasure to present to you this first volume of 13 papers on the subject of Microfluidics for Cells and other Organisms. By adding “organisms” to the volume title, I was hoping for manuscripts beyond just cells. So, it was good to see that there were submissions of papers on zebrafish [1] and bacteria [2]. This volume highlights a diverse collection of research on single cell manipulation, diagnostics, cell migration, cell flow cytometry, to name a few. I am also happy to see that some papers included automated systems to operate the devices [3,4]. Automation is needed if we want to have a more intensive use of microfluidic based platforms and reproducibility.
Contributions to this volume came from all over the world, from Germany, France, Switzerland, USA, Hong Kong, China, Taiwan, Japan, Singapore and Chile.
This volume shows the importance of using microfluidics as a tool to understand cells and other organisms or even broader, biology better.
As Constantinou et al. [5] showed, hydrodynamic focusing inside a Y-shaped microfluidic device improve the classification of single cells in cytometry. With the aid of image analysis, cells can be identified in cell mixtures.
Analysis of nuclear acids is important for molecular diagnostics as well as automation of the process. Tong et al. [3] introduced a rotating disk device to extract the nuclear acid from cells using magnetic beads.
From my own work on zebra fish embryos, I know how they easily evade the viewing field of the microscope when looking at them in a petri dish. Thus, I developed a chip to keep the embryos in place for real-time observation [6]. Zhu et al. [1] had the same idea but developed a different trapping method to keep the embryos in place.
Cells react to external forces, which is very well studied in the field of mechanobiology. By applying periodic hydrostatic pressure on cells, Horade et al. [7] showed that cells under periodic pressure displayed a faster increase in the size of the cells as compared to atmospheric pressure. Another example in the field of mechanobiology is given by Li et al. [8]. The biomechanical properties of cells can be used for early disease diagnostics. By using a microfluidic device like a Wheatstone Bridge, single cells could be trapped and exposed to precisely controlled pressures.
Performing diagnostics on prenatal fetuses is basically impossible, unless you can do it non-invasively by isolating some cells from the fetus. As it turns out, circulating fetal cells (CFCs) are present in the maternal blood. Ma et al. [4] designed a chip and an automated system to isolate this rare cell from the maternal blood.
Cheap and simple in-situ alternatives to standard flow cytometry is making its way to microfluidic devices. I see this as a positive development of more portable devices, which can be deployed remotely to, for example, perform diagnostics. Zhang et al. [2] used conductivity to measure the concentration of bacteria.
Microfluidics can also be used to find binding proteins to specific cancer cells. It is a way to identify the cancer cell. Kaminaga et al. [9] did exactly that, by using micropillar arrays to filter non-target-binding-molecules from specific binding molecules. Liu et al. [10] looked at specific protein interaction on cells, however, at a single cell level. They are specifically looking for oral tumor cells from patients with their microfluidic based cell analyzer.
Single cell cultures do not have the same functionality as co-cultures. Chen et al. [11] fabricated a non-contact co-culture chip with fibroblasts and lung cancer cell lines to study their interaction, with the intention to explore the mechanism of cancer.
Another method to separate cells is to look at their motility, especially when looking at migrating cancer cells. Wang et al. [12] proposed to measure the motility of these cells to access the effect of anti-cancer drugs, by using a paper-based microfluidic device.
Single cell analysis is further highlighted in a review by Luo et al. [13]. It explores various methods for single cell manipulation, analysis as well as the various microfluidic devices available.
Finally, this volume ends with an opinion piece by Grenci et al. [14] highlighting the role of microfluidics or more precise, the role of micro and nanotechnology in biological and biomedical applications. It describes the interdisciplinary processes to develop new biological technologies
Due to the success of this volume of papers, I am now looking forward to the contributions in Volume 2.

References

  1. Zhu, Z.; Geng, Y.; Yuan, Z.; Ren, S.; Liu, M.; Meng, Z.; Pan, D. A Bubble-Free Microfluidic Device for Easy-to-Operate Immobilization, Culturing and Monitoring of Zebrafish Embryos. Micromachines 2019, 10, 168. [Google Scholar] [CrossRef] [PubMed]
  2. Zhang, X.-Y.; Li, Z.-Y.; Zhang, Y.; Zang, X.-Q.; Ueno, K.; Misawa, H.; Sun, K. Bacterial Concentration Detection using a PCB-based Contactless Conductivity Sensor. Micromachines 2019, 10, 55. [Google Scholar] [CrossRef] [PubMed]
  3. Tong, R.; Zhang, L.; Hu, C.; Chen, X.; Song, Q.; Lou, K.; Tang, X.; Chen, Y.; Gong, X.; Gao, Y.; et al. An Automated and Miniaturized Rotating-Disk Device for Rapid Nucleic Acid Extraction. Micromachines 2019, 10, 204. [Google Scholar] [CrossRef] [PubMed]
  4. Ma, G.-C.; Lin, W.-H.; Huang, C.-E.; Chang, T.-Y.; Liu, J.-Y.; Yang, Y.-J.; Lee, M.-H.; Wu, W.-J.; Chang, Y.-S.; Chen, M. A Silicon-based Coral-like Nanostructured Microfluidics to Isolate Rare Cells in Human Circulation: Validation by SK-BR-3 Cancer Cell Line and Its Utility in Circulating Fetal Nucleated Red Blood Cells. Micromachines 2019, 10, 132. [Google Scholar] [CrossRef] [PubMed]
  5. Constantinou, I.; Jendrusch, M.; Aspert, T.; Görlitz, F.; Schulze, A.; Charvin, G.; Knop, M. Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow. Micromachines 2019, 10, 311. [Google Scholar] [CrossRef] [PubMed]
  6. Choudhury, D.; van Noort, D.; Iliescu, C.; Zheng, B.X.; Poon, K.-L.; Korzh, S.; Korzh, V.; Yu, H. Fish and Chips: A microfluidic perfusion platform for monitoring the development of early stage zebrafish embryos. Lab Chip 2012, 12, 892–900. [Google Scholar] [CrossRef] [PubMed]
  7. Horade, M.; Tsai, C.-H.D.; Kaneko, M. On-Chip Cell Incubator for Simultaneous Observation of Culture with and without Periodic Hydrostatic Pressure. Micromachines 2019, 10, 133. [Google Scholar] [CrossRef] [PubMed]
  8. Li, Y.-J.; Yang, Y.-N.; Zhang, H.-J.; Xue, C.-D.; Zeng, D.-P.; Cao, T.; Qin, K.-R. A Microfluidic Micropipette Aspiration Device to Study Single-Cell Mechanics Inspired by the Principle of Wheatstone Bridge. Micromachines 2019, 10, 131. [Google Scholar] [CrossRef] [PubMed]
  9. Kaminaga, M.; Ishida, T.; Kadonosono, T.; Kizaka-Kondoh, S.; Omata, T. Microfluidic Device for Screening for Target Cell-Specific Binding Molecules by Using Adherent Cells. Micromachines 2019, 10, 41. [Google Scholar] [CrossRef] [PubMed]
  10. Liu, L.; Fan, B.; Wang, D.; Li, X.; Song, Y.; Zhang, T.; Chen, D.; Wang, Y.; Wang, J.; Chen, J. Microfluidic Analyzer Enabling Quantitative Measurements of Specific Intracellular Proteins at the Single-Cell Level. Micromachines 2018, 9, 588. [Google Scholar] [CrossRef] [PubMed]
  11. Chen, H.; Liu, W.; Wang, B.; Zhang, Z. In Situ Analysis of Interactions between Fibroblast and Tumor Cells for Drug Assays with Microfluidic Non-Contact Co-Culture. Micromachines 2018, 9, 665. [Google Scholar] [CrossRef] [PubMed]
  12. Wang, L.-X.; Zhou, Y.; Fu, J.-J.; Lu, Z.; Yu, L. Separation and Characterization of Prostate Cancer Cell Subtype according to Their Motility Using a Multi-Layer CiGiP Culture. Micromachines 2018, 9, 660. [Google Scholar] [CrossRef] [PubMed]
  13. Luo, T.; Fan, L.; Zhu, R.; Sun, D. Microfluidic Single-Cell Manipulation and Analysis: Methods and Applications. Micromachines 2019, 10, 104. [Google Scholar] [CrossRef] [PubMed]
  14. Grenci, G.; Bertocchi, C.; Ravasio, A. Integrating Microfabrication into Biological Investigations: The Benefits of Interdisciplinarity. Micromachines 2019, 10, 252. [Google Scholar] [CrossRef] [PubMed]

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MDPI and ACS Style

van Noort, D. Editorial for the Special Issue on Microfluidics for Cells and Other Organisms. Micromachines 2019, 10, 520. https://doi.org/10.3390/mi10080520

AMA Style

van Noort D. Editorial for the Special Issue on Microfluidics for Cells and Other Organisms. Micromachines. 2019; 10(8):520. https://doi.org/10.3390/mi10080520

Chicago/Turabian Style

van Noort, Danny. 2019. "Editorial for the Special Issue on Microfluidics for Cells and Other Organisms" Micromachines 10, no. 8: 520. https://doi.org/10.3390/mi10080520

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