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Cell Seeding Technology for Microarray-Based Quantitative Human Primary Skeletal Muscle Cell Analysis
DGIST, South Korea.
DGIST, South Korea.
DGIST, South Korea.
DGIST, South Korea.
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2019 (English)In: Analytical Chemistry, ISSN 0003-2700, E-ISSN 1520-6882, Vol. 91, no 22, p. 14214-14219Article in journal (Refereed) Published
Abstract [en]

Pipetting techniques play a crucial role in obtaining reproducible and reliable results, especially when seeding cells on small target areas, such as on microarrays, biochips or microfabricated cell culture systems. For very rare cells, such as human primary skeletal muscle cells (skMCs), manual (freehand) cell seeding techniques invariably result in nonuniform cell spreading and heterogeneous cell densities, giving rise to undesirable variations in myogenesis and differentiation. To prevent such technique-dependent variation, we have designed and fabricated a simple, low-cost pipet guidance device (PGD), and holder that works with hand-held pipettes. This work validates the accuracy and reproducibility of the PGD platform and compares its effectiveness with manual and robotic seeding techniques. The PGD system ensures reproducibility of cell seeding, comparable to that of more expensive robotic dispensing systems, resulting in a high degree of cell uniformity and homogeneous cell densities, while also enabling cell community studies. As compared to freehand pipetting, PGD-assisted seeding of C2C12 mouse myoblasts showed 5.3 times more myotube formation and likewise myotubes derived from PGD-seeded human primary skMCs were 3.6 times thicker and 2.2 times longer. These results show that this novel, yet simple PGD-assisted pipetting technique provides precise cell seeding on small targets, ensuring reproducible and reliable high-throughput cell assays.

Place, publisher, year, edition, pages
AMER CHEMICAL SOC , 2019. Vol. 91, no 22, p. 14214-14219
National Category
Cell and Molecular Biology
Identifiers
URN: urn:nbn:se:liu:diva-162753DOI: 10.1021/acs.analchem.9b03722ISI: 000498280100010PubMedID: 31631648OAI: oai:DiVA.org:liu-162753DiVA, id: diva2:1380366
Note

Funding Agencies|National Research Foundation of Korea (NRF) - Ministry of Science and ICT [NRF-2017M3A9E9072667, NRF-2015R1C1A1A01054292]; DGIST R&D Program of the Ministry of Science and ICT [2019010094]

Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18

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CiteExportLink to record
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Citation style
  • apa
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