Integration of a microfluidic chip with a size-based cell bandpass filter for reliable isolation of single cells

Lab on a Chip ◽  
2015 ◽  
Vol 15 (21) ◽  
pp. 4128-4132 ◽  
Author(s):  
Hojin Kim ◽  
Sanghyun Lee ◽  
Jae-hyung Lee ◽  
Joonwon Kim
Keyword(s):  
Single Cell ◽  
Microfluidic Chip ◽  
Bandpass Filter ◽  
Single Cells ◽  
Cell Array ◽  
Novel Approach ◽  
Reliable Isolation

A novel approach for reliable arraying of single cells is presented using a size-based cell bandpass filter integrated with a microfluidic single-cell array chip.

scholarly journals An acoustofluidic trap and transfer approach for organizing a high density single cell array

Lab on a Chip ◽  
2018 ◽  
Vol 18 (14) ◽  
pp. 2124-2133 ◽  
Author(s):  
Korine A. Ohiri ◽  
Sean T. Kelly ◽  
Jeffrey D. Motschman ◽  
Kevin H. Lin ◽  
Kris C. Wood ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cells ◽  
Microfluidic System ◽  
High Density ◽  
Cell Array

We demonstrate a hybrid microfluidic system that combines fluidic trapping and acoustic switching to organize an array of single cells at high density.

Hydrodynamic shuttling for deterministic high-efficiency multiple single-cell capture in a microfluidic chip

Lab on a Chip ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1370-1377 ◽  
Author(s):  
Cheng-Kun He ◽  
Ya-Wen Chen ◽  
Ssu-Han Wang ◽  
Chia-Hsien Hsu
Keyword(s):  
Single Cell ◽  
Biomedical Research ◽  
Microfluidic Chip ◽  
High Efficiency ◽  
Single Cells ◽  
Cellular Heterogeneity ◽  
Cell Capture

A new microfluidics technique for high-efficiency paring and analyzing multiple single cells can facilitate cellular heterogeneity studies important for biological and biomedical research.

scholarly journals Microfluidic Cell Trapping for Single-Cell Analysis

Micromachines ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 409 ◽  
Author(s):  
Bing Deng ◽  
Heyi Wang ◽  
Zhaoyi Tan ◽  
Yi Quan
Keyword(s):  
Fluid Dynamics ◽  
Cell Growth ◽  
Single Cell ◽  
Microfluidic Chip ◽  
Cultured Cells ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Cell Analysis ◽  
Cell Capture ◽  
Culture Process

The single-cell capture microfluidic chip has many advantages, including low cost, high throughput, easy manufacturing, integration, non-toxicity and good stability. Because of these characteristics, the cell capture microfluidic chip is increasingly becoming an important carrier on the study of life science and pharmaceutical analysis. Important promises of single-cell analysis are the paring, fusion, disruption and analysis of intracellular components for capturing a single cell. The capture, which is based on the fluid dynamics method in the field of micro fluidic chips is an important way to achieve and realize the operations mentioned above. The aim of this study was to compare the ability of three fluid dynamics-based microfluidic chip structures to capture cells. The effects of cell growth and distribution after being captured by different structural chips and the subsequent observation and analysis of single cells on the chip were compared. It can be seen from the experimental results that the microfluidic chip structure most suitable for single-cell capture is a U-shaped structure. It enables single-cell capture as well as long-term continuous culture and the single-cell observation of captured cells. Compared to the U-shaped structure, the cells captured by the microcavity structure easily overlapped during the culture process and affected the subsequent analysis of single cells. The flow shortcut structure can also be used to capture and observe single cells, however, the shearing force of the fluid caused by the chip structure is likely to cause deformation of the cultured cells. By comparing the cell capture efficiency of the three chips, the reagent loss during the culture process and the cell growth state of the captured cells, we are provided with a theoretical support for the design of a single-cell capture microfluidic chip and a reference for the study of single-cell capture in the future.

MULTISPECTRAL CONCURRENT DETECTION OF MULTIPLE PROTEINS

Nano LIFE ◽  
2012 ◽  
Vol 02 (03) ◽  
pp. 1241004 ◽  
Author(s):  
JINGWEN CHAI ◽  
QING SONG
Keyword(s):  
Single Cell ◽  
Measurement Errors ◽  
Single Cells ◽  
Cell Detection ◽  
Cell Level ◽  
Single Cell Detection ◽  
Real Time Measurement ◽  
Novel Approach ◽  
Clinical Diagnoses ◽  
Cell Sample

Proteins constitutively function within networks. Concurrent detection of multiple proteins is crucial to clinical diagnoses and multidimensional drug profiling. Fluorescence microscopy is capable of multicolor imaging, and has the capability to quantify essentially any physiological changes that occur at the single-cell level and in the context of live single cells, and thus provides an alternative to flow cytometry for multiplexed live single-cell assay. The staining of cells with multiple labels is still a technical challenge while multiplexed assays are complicated by spectral emission overlaps and measurement errors. In this study, we applied emission fingerprinting technique provided by Zeiss LSM 510 META detector, and achieved concurrent detection of ten proteins expressed on the same endothelial cell sample. This approach can be further applied to real-time measurement of multiple proteins expressed on live single cell surface, and therefore will enable a novel approach of multiplexed live single cell detection.

scholarly journals DTFLOW: Inference and Visualization of Single-cell Pseudo-temporal Trajectories Using Diffusion Propagation

2020 ◽  
Author(s):  
Jiangyong Wei ◽  
Tianshou Zhou ◽  
Xinan Zhang ◽  
Tianhai Tian
Keyword(s):  
Single Cell ◽  
Reduction Method ◽  
Developmental Trajectories ◽  
Branching Processes ◽  
Single Cells ◽  
New Method ◽  
Developmental States ◽  
Novel Approach ◽  
Cell Data

ABSTRACTOne of the major challenges in single-cell data analysis is the determination of cellular developmental trajectories using single-cell data. Although substantial studies have been conducted in recent years, more effective methods are still strongly needed to infer the developmental processes accurately. In this work we devise a new method, named DTFLOW, for determining the pseudo-temporal trajectories with multiple branches. This method consists of two major steps: namely a new dimension reduction method (i.e. Bhattacharyya kernel feature decomposition (BKFD)) and a novel approach, named Reverse Searching on kNN Graph (RSKG), to identify the underlying multi-branching processes of cellular differentiations. In BKFD we first establish a stationary distribution for each cell to represent the transition of cellular developmental states based on the random walk with restart algorithm and then propose a new distance metric for calculating pseudo-times of single-cells by introducing the Bhattacharyya kernel matrix. The effectiveness of DTFLOW is rigorously examined by using four single-cell datasets. We compare the efficiency of the new method with two state-of-the-art methods. Simulation results suggest that our proposed method has superior accuracy and strong robustness properties for constructing pseudo-time trajectories. Availability: DTFLOW is implemented in Python and available at https://github.com/statway/DTFLOW.

In situ mRNA isolation from a microfluidic single-cell array using an external AFM nanoprobe

Lab on a Chip ◽  
2017 ◽  
Vol 17 (9) ◽  
pp. 1635-1644 ◽  
Author(s):  
Xuan Li ◽  
Yinglei Tao ◽  
Do-Hyun Lee ◽  
Hemantha K. Wickramasinghe ◽  
Abraham P. Lee
Keyword(s):  
Single Cell ◽  
Single Cells ◽  
Microfluidic Systems ◽  
Cell Array ◽  
Precise Control ◽  
Non Destructive ◽  
Microfluidic Arrays

mRNA probing from single cells within microfluidic arrays, combining the non-destructive and precise-control of a single-cell mRNA probe with sealed microfluidic systems' multifunctional capability.

scholarly journals Dual transcript and protein quantification in a massive single cell array

Lab on a Chip ◽  
2016 ◽  
Vol 16 (19) ◽  
pp. 3682-3688 ◽  
Author(s):  
Seung-min Park ◽  
Jae Young Lee ◽  
Soongweon Hong ◽  
Sang Hun Lee ◽  
Ivan K. Dimov ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cells ◽  
Protein Quantification ◽  
Cell Array

Microwell-based cytometry for simultaneous gene and protein measurements from single cells.

Dynamic screening and printing of single cells using a microfluidic chip with dual microvalves

Lab on a Chip ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1227-1237 ◽  
Author(s):  
Chang Chen ◽  
Dong Xu ◽  
Siwei Bai ◽  
Zhihang Yu ◽  
Yonggang Zhu ◽  
...  
Keyword(s):  
Single Cell ◽  
Microfluidic Chip ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Cell Analysis ◽  
Microfluidic Platform ◽  
Dynamic Screening ◽  
Pneumatic Valves

Inoculation of single cells into separate chambers is one of the key requirements in single-cell analysis. Here we report a three-layer microfluidic platform integrated with dual-pneumatic valves for dynamic screening and printing of single cells.

scholarly journals Robotic Cell Printing for Constructing Living Yeast Cell Microarrays in Microfluidic Chips

Fermentation ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 26 ◽  
Author(s):  
Charlotte Yvanoff ◽  
Stefania Torino ◽  
Ronnie G. Willaert
Keyword(s):  
Yeast Cell ◽  
Microfluidic Chip ◽  
Fluorescent Protein ◽  
Single Cells ◽  
Time Lapse ◽  
Microfluidic Chips ◽  
Cell Array ◽  
Cell Microarrays ◽  
Green Fluorescent ◽  
High Density Cell

Living cell microarrays in microfluidic chips allow the non-invasive multiplexed molecular analysis of single cells. Here, we developed a simple and affordable perfusion microfluidic chip containing a living yeast cell array composed of a population of cell variants (green fluorescent protein (GFP)-tagged Saccharomyces cerevisiae clones). We combined mechanical patterning in 102 microwells and robotic piezoelectric cell dispensing in the microwells to construct the cell arrays. Robotic yeast cell dispensing of a yeast collection from a multiwell plate to the microfluidic chip microwells was optimized. The developed microfluidic chip and procedure were validated by observing the growth of GFP-tagged yeast clones that are linked to the cell cycle by time-lapse fluorescence microscopy over a few generations. The developed microfluidic technology has the potential to be easily upscaled to a high-density cell array allowing us to perform dynamic proteomics and localizomics experiments.

Fluorescent analysis of bioactive molecules in single cells based on microfluidic chips

Lab on a Chip ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 1151-1173 ◽  
Author(s):  
Yuanyuan Fan ◽  
Defang Dong ◽  
Qingling Li ◽  
Haibin Si ◽  
Haimeng Pei ◽  
...  
Keyword(s):  
Single Cell ◽  
Microfluidic Chip ◽  
Single Cells ◽  
Bioactive Molecules ◽  
Microfluidic Chips ◽  
Fluorescence Labelling ◽  
Fluorescent Analysis ◽  
Cell Components ◽  
Components Analysis

Fluorescence labelling, sensing and detection device for multiple single-cell components analysis on microfluidic chip.

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