Single-cell RT-LAMP mRNA detection by integrated droplet sorting and merging

Lab on a Chip ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 2425-2434 ◽  
Author(s):  
Meng Ting Chung ◽  
Katsuo Kurabayashi ◽  
Dawen Cai
Keyword(s):  
Single Cell ◽  
Microfluidic Platform ◽  
Mrna Detection ◽  
Droplet Sorting ◽  
On Chip ◽  
Short Time

We present a droplet-based microfluidic platform that permits seamless on-chip droplet sorting and merging, which enables completing multi-step reaction assays within a short time, and demonstrate detection of specific single-cell mRNA expressions.

scholarly journals An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Mathias Girault ◽  
Hyonchol Kim ◽  
Hisayuki Arakawa ◽  
Kenji Matsuura ◽  
Masao Odaka ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Shape Recognition ◽  
Target Cells ◽  
Recognition Method ◽  
System A ◽  
Time Shape ◽  
Droplet Sorting ◽  
On Chip ◽  
Sorting System

scholarly journals Sequentially addressable dielectrophoretic array for high-throughput sorting of large-volume biological compartments

2020 ◽  
Vol 6 (22) ◽  
pp. eaba6712 ◽  
Author(s):  
A. Isozaki ◽  
Y. Nakagawa ◽  
M. H. Loo ◽  
Y. Shibata ◽  
N. Tanaka ◽  
...  
Keyword(s):  
Single Cell ◽  
High Speed ◽  
Single Cell Analysis ◽  
Droplet Microfluidics ◽  
Cell Analysis ◽  
Green Biotechnology ◽  
Speed Flow ◽  
Droplet Sorting ◽  
On Chip

Droplet microfluidics has become a powerful tool in precision medicine, green biotechnology, and cell therapy for single-cell analysis and selection by virtue of its ability to effectively confine cells. However, there remains a fundamental trade-off between droplet volume and sorting throughput, limiting the advantages of droplet microfluidics to small droplets (<10 pl) that are incompatible with long-term maintenance and growth of most cells. We present a sequentially addressable dielectrophoretic array (SADA) sorter to overcome this problem. The SADA sorter uses an on-chip array of electrodes activated and deactivated in a sequence synchronized to the speed and position of a passing target droplet to deliver an accumulated dielectrophoretic force and gently pull it in the direction of sorting in a high-speed flow. We use it to demonstrate large-droplet sorting with ~20-fold higher throughputs than conventional techniques and apply it to long-term single-cell analysis of Saccharomyces cerevisiae based on their growth rate.

scholarly journals Microfluidic platform accelerates tissue processing into single cells for molecular analysis and primary culture models

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jeremy A. Lombardo ◽  
Marzieh Aliaghaei ◽  
Quy H. Nguyen ◽  
Kai Kessenbrock ◽  
Jered B. Haun
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Cell Analysis ◽  
Processing Technologies ◽  
Microfluidic Platform ◽  
Tissue Processing ◽  
Single Cell Rna Sequencing ◽  
Culture Models ◽  
Tissue Digestion

AbstractTissues are complex mixtures of different cell subtypes, and this diversity is increasingly characterized using high-throughput single cell analysis methods. However, these efforts are hindered, as tissues must first be dissociated into single cell suspensions using methods that are often inefficient, labor-intensive, highly variable, and potentially biased towards certain cell subtypes. Here, we present a microfluidic platform consisting of three tissue processing technologies that combine tissue digestion, disaggregation, and filtration. The platform is evaluated using a diverse array of tissues. For kidney and mammary tumor, microfluidic processing produces 2.5-fold more single cells. Single cell RNA sequencing further reveals that endothelial cells, fibroblasts, and basal epithelium are enriched without affecting stress response. For liver and heart, processing time is dramatically reduced. We also demonstrate that recovery of cells from the system at periodic intervals during processing increases hepatocyte and cardiomyocyte numbers, as well as increases reproducibility from batch-to-batch for all tissues.

On-Chip Cell Sorter for Single Cell Expression Analysis

2001 ◽  
pp. 271-273 ◽  
Author(s):  
T. Ichiki ◽  
T. Ujiie ◽  
T. Hara ◽  
Y. Horiike ◽  
K. Yasuda
Keyword(s):  
Single Cell ◽  
Expression Analysis ◽  
Cell Sorter ◽  
On Chip ◽  
Cell Expression

On-Chip Single-Cell Lysis for Extracting Intracellular Material

2007 ◽  
Vol 46 (9B) ◽  
pp. 6410-6414 ◽  
Author(s):  
Norifumi Ikeda ◽  
Nobuaki Tanaka ◽  
Yasuko Yanagida ◽  
Takeshi Hatsuzawa
Keyword(s):  
Single Cell ◽  
Cell Lysis ◽  
On Chip

A novel microfluidic platform with stable concentration gradient for on chip cell culture and screening assays

Lab on a Chip ◽  
2013 ◽  
Vol 13 (18) ◽  
pp. 3714 ◽  
Author(s):  
Bi-Yi Xu ◽  
Shan-Wen Hu ◽  
Guang-Sheng Qian ◽  
Jing-Juan Xu ◽  
Hong-Yuan Chen
Keyword(s):  
Cell Culture ◽  
Concentration Gradient ◽  
Microfluidic Platform ◽  
Screening Assays ◽  
On Chip

An automated centrifugal microfluidic assay for whole blood fractionation and isolation of multiple cell populations using an aqueous two-phase system

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Byeong-Ui Moon ◽  
Liviu Clime ◽  
Daniel Brassard ◽  
Alex Boutin ◽  
Jamal Daoud ◽  
...  
Keyword(s):  
Human Blood ◽  
Whole Blood ◽  
Cell Populations ◽  
Phase System ◽  
Two Phase ◽  
Microfluidic Platform ◽  
Aqueous Two Phase System ◽  
Separation Layers ◽  
Multiple Cell ◽  
On Chip

This paper describes an advanced on-chip whole human blood fractionation and cell isolation process combining an aqueous two-phase system to create complex separation layers with a centrifugal microfluidic platform to control and automate the assay.

scholarly journals Droplet-assisted electrospray phase separation using an integrated silicon microfluidic platform

Lab on a Chip ◽  
2022 ◽  
Author(s):  
Yan Zhang ◽  
Sungho Kim ◽  
Weihua Shi ◽  
Yaoyao Zhao ◽  
Insu Park ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Phase Separation ◽  
Electrospray Ionization ◽  
Mass Spectrometry Analysis ◽  
Microfluidic Channels ◽  
Droplet Generator ◽  
Microfluidic Platform ◽  
Spectrometry Analysis ◽  
Temporal Phase ◽  
On Chip

We report on a silicon microfluidic platform that enables integration of transparent μm-scale microfluidic channels, an on-chip pL-volume droplet generator, and a nano-electrospray ionization emitter that enables spatial and temporal phase separation for mass spectrometry analysis.

scholarly journals Massively parallel quantification of phenotypic heterogeneity in single cell drug responses

2020 ◽  
Author(s):  
Benjamin B. Yellen ◽  
Jon S. Zawistowski ◽  
Eric A. Czech ◽  
Caleb I. Sanford ◽  
Elliott D. SoRelle ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Myeloid Leukemia ◽  
Single Cell ◽  
Myeloid Leukemia ◽  
Single Cell Analysis ◽  
Phenotypic Heterogeneity ◽  
Massively Parallel ◽  
Cell Analysis ◽  
On Chip ◽  
Acute Myeloid

AbstractSingle cell analysis tools have made significant advances in characterizing genomic heterogeneity, however tools for measuring phenotypic heterogeneity have lagged due to the increased difficulty of handling live biology. Here, we report a single cell phenotyping tool capable of measuring image-based clonal properties at scales approaching 100,000 clones per experiment. These advances are achieved by exploiting a novel flow regime in ladder microfluidic networks that, under appropriate conditions, yield a mathematically perfect cell trap. Machine learning and computer vision tools are used to control the imaging hardware and analyze the cellular phenotypic parameters within these images. Using this platform, we quantified the responses of tens of thousands of single cell-derived acute myeloid leukemia (AML) clones to targeted therapy, identifying rare resistance and morphological phenotypes at frequencies down to 0.05%. This approach can be extended to higher-level cellular architectures such as cell pairs and organoids and on-chip live-cell fluorescence assays.

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