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A high-throughput microfluidic diploid yeast long-term culturing (DYLC) chip capable of bud reorientation and concerted daughter dissection for replicative lifespan determination

Yingying Wang, Zhen Zhu, Ke Liu, Qin Xiao, Yangye Geng, Feng Xu, Shuiping Ouyang, Ke Zheng, Yimin Fan, Nan Jin, Xiangwei Zhao, Mario Andrea Marchisio, Dejing Pan, Qing‐An Huang

Journal of Nanobiotechnology · 2022 · ▲ 12 citations

Abstract

BACKGROUND: Budding yeast, Saccharomyces cerevisiae, has been extensively favored as a model organism in aging and age-related studies, thanks to versatile microfluidic chips for cell dynamics assay and replicative lifespan (RLS) determination at single-cell resolution. However, previous microfluidic structures aiming to immobilize haploid yeast may impose excessive spatial constraint and mechanical stress on cells, especially for larger diploid cells that sprout in a bipolar pattern. RESULTS: We developed a high-throughput microfluidic chip for diploid yeast long-term culturing (DYLC), optical inspection and cell-aging analysis. The DYLC chip features 1100 "leaky bowl"-shaped traps formatted in an array to dock single cells under laminar-perfused medium and effectively remove daughter cells by hydraulic shear forces. The delicate microstructures of cell traps enable hydrodynamic rotation of newborn buds, so as to ensure bud reorientation towards downstream and concerted daughter dissection thereafter. The traps provide sufficient space for cell-volume enlargement during aging, and thus properly alleviate structural compression and external stress on budding yeast. Trapping efficiency and long-term maintenance of single cells were optimized according to computational fluid dynamics simulations and experimental characterization in terms of critical parameters of the trap and array geometries. Owing to the self-filling of daughter cells dissected from traps upstream, an initial trapping efficiency of about 70% can rapidly reach a high value of over 92% after 4-hour cell culturing. During yeast proliferation and aging, cellular processes of growth, budding and daughter dissection were continuously tracked for over 60 h by time-lapse imaging. Yeast RLS and budding time interval (BTI) were directly calculated by the sequential two-digit codes indicating the budding status in images. With the employed diploid yeast strain, we obtained an RLS of 24.29 ± 3.65 generations, and verified the extension of BTI in the first couple of generations after birth and the last several generations approaching death, as well as cell de-synchronization along diploid yeast aging. CONCLUSIONS: The DYLC chip offers a promising platform for reliable capture and culturing of diploid yeast cells and for life-long tracking of cell dynamics and replicative aging processes so that grasping comprehensive insights of aging mechanism in complex eukaryotic cells.

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Provenance

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OpenAlex
DOI
10.1186/s12951-022-01379-9
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2026-07-22 MST

Cite this

APA
Wang, Y., Zhu, Z., Liu, K., Xiao, Q., Geng, Y., Xu, F., Ouyang, S., Zheng, K., Fan, Y., Jin, N., Zhao, X., Marchisio, M.A., Pan, D., &amp; Huang, Q. (2022). A high-throughput microfluidic diploid yeast long-term culturing (DYLC) chip capable of bud reorientation and concerted daughter dissection for replicative lifespan determination. <em>Journal of Nanobiotechnology</em>. https://doi.org/10.1186/s12951-022-01379-9
Vancouver
Wang Y, Zhu Z, Liu K, Xiao Q, Geng Y, Xu F, et al. A high-throughput microfluidic diploid yeast long-term culturing (DYLC) chip capable of bud reorientation and concerted daughter dissection for replicative lifespan determination. Journal of Nanobiotechnology. 2022. doi:10.1186/s12951-022-01379-9.
BibTeX
@article{yingying2022Ahight, title = {A high-throughput microfluidic diploid yeast long-term culturing (DYLC) chip capable of bud reorientation and concerted daughter dissection for replicative lifespan determination}, author = {Yingying Wang and Zhen Zhu and Ke Liu and Qin Xiao and Yangye Geng and Feng Xu and Shuiping Ouyang and Ke Zheng and Yimin Fan and Nan Jin and Xiangwei Zhao and Mario Andrea Marchisio and Dejing Pan and Qing‐An Huang}, journal = {Journal of Nanobiotechnology}, year = {2022}, doi = {10.1186/s12951-022-01379-9}, }

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