scholarly journals A Microfluidic Micropipette Aspiration Device to Study Single-Cell Mechanics Inspired by the Principle of Wheatstone Bridge

Micromachines ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 131 ◽  
Author(s):  
Yong-Jiang Li ◽  
Yu-Nong Yang ◽  
Hai-Jun Zhang ◽  
Chun-Dong Xue ◽  
De-Pei Zeng ◽  
...  

The biomechanical properties of single cells show great potential for early disease diagnosis and effective treatments. In this study, a microfluidic device was developed for quantifying the mechanical properties of a single cell. Micropipette aspiration was integrated into a microfluidic device that mimics a classical Wheatstone bridge circuit. This technique allows us not only to effectively alter the flow direction for single-cell trapping, but also to precisely control the pressure exerted on the aspirated cells, analogous to the feature of the Wheatstone bridge that can precisely control bridge voltage and current. By combining the micropipette aspiration technique into the microfluidic device, we can effectively trap the microparticles and Hela cells as well as measure the deformability of cells. The Young’s modulus of Hela cells was evaluated to be 387 ± 77 Pa, which is consistent with previous micropipette aspiration studies. The simplicity, precision, and usability of our device show good potential for biomechanical trials in clinical diagnosis and cell biology research.

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1635
Author(s):  
Ya Su ◽  
Rongxin Fu ◽  
Wenli Du ◽  
Han Yang ◽  
Li Ma ◽  
...  

Quantitative measurement of single cells can provide in-depth information about cell morphology and metabolism. However, current live-cell imaging techniques have a lack of quantitative detection ability. Herein, we proposed a label-free and quantitative multichannel wide-field interferometric imaging (MWII) technique with femtogram dry mass sensitivity to monitor single-cell metabolism long-term in situ culture. We demonstrated that MWII could reveal the intrinsic status of cells despite fluctuating culture conditions with 3.48 nm optical path difference sensitivity, 0.97 fg dry mass sensitivity and 2.4% average maximum relative change (maximum change/average) in dry mass. Utilizing the MWII system, different intrinsic cell growth characteristics of dry mass between HeLa cells and Human Cervical Epithelial Cells (HCerEpiC) were studied. The dry mass of HeLa cells consistently increased before the M phase, whereas that of HCerEpiC increased and then decreased. The maximum growth rate of HeLa cells was 11.7% higher than that of HCerEpiC. Furthermore, HeLa cells were treated with Gemcitabine to reveal the relationship between single-cell heterogeneity and chemotherapeutic efficacy. The results show that cells with higher nuclear dry mass and nuclear density standard deviations were more likely to survive the chemotherapy. In conclusion, MWII was presented as a technique for single-cell dry mass quantitative measurement, which had significant potential applications for cell growth dynamics research, cell subtype analysis, cell health characterization, medication guidance and adjuvant drug development.


Lab on a Chip ◽  
2021 ◽  
Author(s):  
Huichao Chai ◽  
Yongxiang Feng ◽  
Fei Liang ◽  
Wenhui Wang

Successful single-cell isolation is a pivotal technique for subsequent biological and chemical analysis of single cells. Although significant advances have been made in single-cell isolation and analysis techniques, most passive...


2019 ◽  
Author(s):  
Wenfa Ng

While many microbes could be cultivated on common nutrient medium from environmental samples, there is perhaps a larger consortium of microbes that could not be brought under cultivation. Known as viable but non-culturable (VBNC) microbes, many facets of cell biology, biochemistry and physiology remain hidden from view given the inability to culture them in the laboratory. Without the ability to culture VBNC, many modern genetic tools could not be used to interrogate intrinsic metabolic capabilities and regulatory mechanisms of the cells. A more important question is perhaps what defines the VBNC state. Specifically, what is the level of metabolic activity in such cells and which branch of metabolism remains active in helping cells maintain cellular sensory system essential to understanding extracellular nutrition and environmental conditions crucial for activating vegetative growth under the right conditions? To answer the questions, we first need to develop methods for identifying cells in the VBNC state. One possibility involves screening environmental microbes for their ability to grow in rich medium under standard laboratory incubation conditions using 96 well plate assay where single cells are inoculated into each well. Cells that fail to grow would subsequently be selected for single cell RNA sequencing to understand the transcriptome that could be correlated to the VBNC state. In parallel, single cell whole genome sequencing could also be conducted to obtain the reference genome on which expression of different genes in the transcriptome could be assessed. Specifically, automated gene annotation pipelines could be used for gene detection; thereby, yielding an ensemble of genes useful for understanding the transcriptome. But, detection of mRNA transcripts does not mean the successful translation of mRNA into proteins. More importantly, while single cell proteomics might be achievable on a routine basis in future, conventional methods lack the sensitivity for profiling cellular proteome at the global level in single cell given the inability to massively amplify proteins unlike the case for DNA or RNA. Similarly, single cell metabolomics, which is essential to obtaining a complete picture of cellular metabolism in VBNC state faces challenges associated with sensitivity and detection of a broad range of intermediates and compounds. Thus, at present, efforts to access the metabolic state associated with VBNC would most likely stop at probing the global transcriptome at the single cell level. But, future developments in single cell proteomics and metabolomics would hopefully provide new tools for biologists to revisit the important question on what is the metabolic status of cells in VBNC, and more importantly, which metabolic branch remain active in maintaining sensory awareness of the cell’s immediate environment.


Lab on a Chip ◽  
2018 ◽  
Vol 18 (21) ◽  
pp. 3251-3262 ◽  
Author(s):  
Alexander M. Xu ◽  
Qianhe Liu ◽  
Kaitlyn L. Takata ◽  
Sarah Jeoung ◽  
Yapeng Su ◽  
...  

Single cell coupled proteomic and transcriptomic measurements are captured on a scalable microfluidic device.


2020 ◽  
Author(s):  
Jonathan Briones ◽  
Wilfred Espulgar ◽  
Shohei Koyama ◽  
Hyota Takamatsu ◽  
Eiichi Tamiya ◽  
...  

Abstract The need for high throughput single cell screening platforms has been increasing with advancements in genomics and proteomics to identify heterogeneity, unique cell subsets or super mutants from thousands of cells within a population. For real-time monitoring of enzyme kinetics and protein expression profiling, valve-based microfluidics or pneumatic valving that can compartmentalize single cells is advantageous by providing on-demand fluid exchange capability for several steps in assay protocol and on-chip culturing. However, this technique is throughput limited by the number of compartments in the array. Thus, one big challenge lies in increasing the number of microvalves to several thousand that can be actuated in the microfluidic device to confine enzymes and substrates in picoliter volumes. This work explores the design and optimizations done on a microfluidic platform to achieve high-throughput single cell compartmentalization as applied to single-cell enzymatic assay for protein expression quantification. Design modeling through COMSOL Multiphysics was utilized to determine the circular microvalve’s optimized parameters, which can close thousands of microchambers in an array at lower sealing pressure. Multiphysical modeling results demonstrated the relationships of geometry, valve dimensions, and sealing pressure, which were applied in the fabrication of a microfluidic device comprising of up to 5000 hydrodynamic traps and corresponding microvalves. Comparing the effects of geometry, actuation media and fabrication technique, a sealing pressure as low as 0.04 MPa was achieved. Applying to single cell enzymatic assay, variations in granzyme B activity in Jurkat and human PBMC cells were observed. Improvement in the microfluidic chip’s throughput is significant in single cell analysis applications, especially in drug discovery and treatment personalization.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yu-Sheng Wang ◽  
Jia Guo

The ability to quantify a large number of varied transcripts in single cells in their native spatial context is crucial to accelerate our understanding of health and disease. Bulk cell RNA analysis masks the heterogeneity in the cell population, while the conventional RNA imaging approaches suffer from low multiplexing capacity. Recent advances in multiplexed fluorescence in situ hybridization (FISH) methods enable comprehensive RNA profiling in individual cells in situ. These technologies will have wide applications in many biological and biomedical fields, including cell type classification, signaling network analysis, tissue architecture, disease diagnosis and patient stratification, etc. In this minireview, we will present the recent technological advances of multiplexed single-cell in situ RNA profiling assays, discuss their advantages and limitations, describe their biological applications, highlight the current challenges, and propose potential solutions.


Development ◽  
2020 ◽  
Vol 147 (15) ◽  
pp. dev146621 ◽  
Author(s):  
Moritz Jakab ◽  
Hellmut G. Augustin

ABSTRACTBlood vessels have long been considered as passive conduits for delivering blood. However, in recent years, cells of the vessel wall (endothelial cells, smooth muscle cells and pericytes) have emerged as active, highly dynamic components that orchestrate crosstalk between the circulation and organs. Encompassing the whole body and being specialized to the needs of distinct organs, it is not surprising that vessel lining cells come in different flavours. There is calibre-specific specialization (arteries, arterioles, capillaries, venules, veins), but also organ-specific heterogeneity in different microvascular beds (continuous, discontinuous, sinusoidal). Recent technical advances in the field of single cell biology have enabled the profiling of thousands of single cells and, hence, have allowed for the molecular dissection of such angiodiversity, yielding a hitherto unparalleled level of spatial and functional resolution. Here, we review how these approaches have contributed to our understanding of angiodiversity.


2015 ◽  
Vol 7 (20) ◽  
pp. 8524-8533 ◽  
Author(s):  
Alireza Valizadeh ◽  
Ahmad Yari Khosroushahi

The combination of nano/microfabrication-based technologies with cell biology has laid the foundation for facilitating the spatiotemporal analysis of single cells under well-defined physiologically relevant conditions.


Author(s):  
David S. Tourigny ◽  
Arthur P. Goldberg ◽  
Jonathan R. Karr

AbstractStochasticity from gene expression in single cells is known to drive metabolic heterogeneity at the population-level, which is understood to have important consequences for issues such as microbial drug tolerance and treatment of human diseases like cancer. Experimental methods for probing metabolism in single cells currently lag far behind advancements in single-cell genomics, transcriptomics, and proteomics, which motivates the development of computational techniques to bridge this gap in the systems approach to single-cell biology. In this paper, we present SSA-FBA (stochastic simulation algorithm with flux-balance analysis embedded) as a modelling framework for simulating the stochastic dynamics of metabolism in individual cells. SSA-FBA extends the constraint-based formalism of metabolic network modelling to the single-cell regime, providing a suitable approach to simulation when kinetic information is lacking from models. We also describe an advanced algorithm that significantly improves the efficiency of exact SSA-FBA simulations, which is necessary because of the computational costs associated with stochastic simulation and the observation that approximations can be inaccurate and numerically unstable. As a preliminary case study we apply SSA-FBA to a single-cell model of Mycoplasma pneumoniae, and explore the use of simulation to understand the role of stochasticity in metabolism at the single-cell level.


Author(s):  
Roger Volden ◽  
Christopher Vollmers

AbstractSingle cell transcriptome analysis elucidates facets of cell biology that have been previously out of reach. However, the high-throughput analysis of thousands of single cell transcriptomes has been limited by sample preparation and sequencing technology. High-throughput single cell analysis today is facilitated by protocols like the 10X Genomics platform or Drop-Seq which generate cDNA pools in which the origin of a transcript is encoded at its 5’ or 3’ end. These cDNA pools are currently analyzed by short read Illumina sequencing which can identify the cellular origin of a transcript and what gene it was transcribed from. However, these methods fail to retrieve isoform information. In principle, cDNA pools prepared using these approaches can be analyzed with Pacific Biosciences and Oxford Nanopore long-read sequencers to retrieve isoform information but all current implementations rely heavily on Illumina short-reads for the analysis in addition to long reads. Here, we used R2C2 to sequence and demultiplex 9 million full-length cDNA molecules generated by the 10X Chromium platform from ∼3000 peripheral blood mononuclear cells (PBMCs). We used these reads to – independent from Illumina data – cluster cells into B cells, T cells, and Monocytes and generate isoform-level transcriptomes for these cell-types. We also generated isoform-level transcriptomes for all single cells and used this information to identify a wide range of isoform diversity between genes. Finally, we also designed a computational workflow to extract paired adaptive immune receptor – T cell receptor and B cell receptor (TCR and BCR) –sequences unique to each T and B cell. This work represents a new, simple, and powerful approach that –using a single sequencing method – can extract an unprecedented amount of information from thousands of single cells.


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