scholarly journals A Microfluidic Platform for High-throughput Single-cell Isolation and Culture

10.3791/54105 ◽  
2016 ◽  
Author(s):  
Ching-Hui Lin ◽  
Hao-Chen Chang ◽  
Chia-Hsien Hsu
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Cell Isolation ◽  
Microfluidic Platform ◽  
Single Cell Isolation

scholarly journals Microfluidics 3D gel-island chip for single cell isolation and lineage-dependent drug responses study

Lab on a Chip ◽  
2016 ◽  
Vol 16 (13) ◽  
pp. 2504-2512 ◽  
Author(s):  
Zhixiong Zhang ◽  
Yu-Chih Chen ◽  
Yu-Heng Cheng ◽  
Yi Luan ◽  
Euisik Yoon
Keyword(s):  
Single Cell ◽  
Drug Response ◽  
Cell Tracking ◽  
Single Cells ◽  
Cell Isolation ◽  
Microfluidic Platform ◽  
Drug Responses ◽  
3D Microenvironment ◽  
Single Cell Isolation

This paper reports a novel gel-island microfluidic platform enabling single-cell tracking in biomimetic 3D microenvironment for investigating heterogeneous drug response of single cells.

scholarly journals High throughput, error corrected Nanopore single cell transcriptome sequencing

2019 ◽  
Author(s):  
Kevin Lebrigand ◽  
Virginie Magnone ◽  
Pascal Barbry ◽  
Rainer Waldmann
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Rna Splicing ◽  
Transcriptome Profiling ◽  
Cell Isolation ◽  
Sequence Information ◽  
Isolation System ◽  
Single Cell Isolation ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

ABSTRACTDroplet-based high throughput single cell isolation techniques tremendously boosted the throughput of single cell transcriptome profiling experiments. However, those approaches only allow analysis of one extremity of the transcript after short read sequencing. We introduce an approach that combines Oxford Nanopore sequencing with unique molecular identifiers to obtain error corrected full length sequence information with the 10×Genomics single cell isolation system. This allows to examine differential RNA splicing and RNA editing at a single cell level.

A microfluidic device enabling deterministic single cell trapping and release

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Huichao Chai ◽  
Yongxiang Feng ◽  
Fei Liang ◽  
Wenhui Wang
Keyword(s):  
Chemical Analysis ◽  
Single Cell ◽  
Microfluidic Device ◽  
Single Cells ◽  
Cell Isolation ◽  
Cell Trapping ◽  
Analysis Techniques ◽  
Single Cell Trapping ◽  
Single Cell Isolation ◽  
Made In

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...

Application Of Isoraft Single Cell Isolation For Analysis Of Pediatric Bal Macrophages

2014 ◽  
Vol 133 (2) ◽  
pp. AB142
Author(s):  
Neil Alexis ◽  
Heather Wells ◽  
Yogesh Saini ◽  
Louisa Brighton ◽  
Nancy Allbritton ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Isolation ◽  
Single Cell Isolation

Grids from bands, or bands from grids? An examination of the effects of single unit contamination on grid cell firing fields

2016 ◽  
Vol 115 (2) ◽  
pp. 992-1002 ◽  
Author(s):  
Z. Navratilova ◽  
K. B. Godfrey ◽  
B. L. McNaughton
Keyword(s):  
Single Cell ◽  
Grid Cell ◽  
Cell Isolation ◽  
Recording Technology ◽  
Firing Patterns ◽  
Limiting Step ◽  
Isolation Methods ◽  
Single Cell Isolation ◽  
Cell Firing ◽  
Cell Data

Neural recording technology is improving rapidly, allowing for the detection of spikes from hundreds of cells simultaneously. The limiting step in multielectrode electrophysiology continues to be single cell isolation. However, this step is crucial to the interpretation of data from putative single neurons. We present here, in simulation, an illustration of possibly erroneous conclusions that may be reached when poorly isolated single cell data are analyzed. Grid cells are neurons recorded in rodents, and bats, that spike in equally spaced locations in a hexagonal pattern. One theory states that grid firing patterns arise from a combination of band firing patterns. However, we show here that summing the grid firing patterns of two poorly resolved neurons can result in spurious band-like patterns. Thus, evidence of neurons spiking in band patterns must undergo extreme scrutiny before it is accepted. Toward this aim, we discuss single cell isolation methods and metrics.

Clonal Isolation of Hybridomas by Manual Single-Cell Isolation

Hybridoma ◽  
1983 ◽  
Vol 2 (2) ◽  
pp. 231-234 ◽  
Author(s):  
R.J. SIJENS ◽  
A.A.M. THOMAS ◽  
A. JACKERS ◽  
A. BOEYÉ
Keyword(s):  
Single Cell ◽  
Cell Isolation ◽  
Single Cell Isolation

scholarly journals Advances in Single-Cell Printing

Micromachines ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 80
Author(s):  
Xiaohu Zhou ◽  
Han Wu ◽  
Haotian Wen ◽  
Bo Zheng
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Three Dimensional ◽  
Cell Isolation ◽  
Special Focus ◽  
Cell Analysis ◽  
Cell Array ◽  
Cell Printing ◽  
Recent Developments ◽  
Single Cell Isolation

Single-cell analysis is becoming an indispensable tool in modern biological and medical research. Single-cell isolation is the key step for single-cell analysis. Single-cell printing shows several distinct advantages among the single-cell isolation techniques, such as precise deposition, high encapsulation efficiency, and easy recovery. Therefore, recent developments in single-cell printing have attracted extensive attention. We review herein the recently developed bioprinting strategies with single-cell resolution, with a special focus on inkjet-like single-cell printing. First, we discuss the common cell printing strategies and introduce several typical and advanced printing strategies. Then, we introduce several typical applications based on single-cell printing, from single-cell array screening and mass spectrometry-based single-cell analysis to three-dimensional tissue formation. In the last part, we discuss the pros and cons of the single-cell strategies and provide a brief outlook for single-cell printing.

scholarly journals In vitro differentiation of human oocyte-like cells from oogonial stem cells: single-cell isolation and molecular characterization

2018 ◽  
Vol 33 (3) ◽  
pp. 464-473 ◽  
Author(s):  
Erica Silvestris ◽  
Paola Cafforio ◽  
Stella D’Oronzo ◽  
Claudia Felici ◽  
Franco Silvestris ◽  
...  
Keyword(s):  
Stem Cells ◽  
Single Cell ◽  
Molecular Characterization ◽  
Cell Isolation ◽  
Human Oocyte ◽  
In Vitro Differentiation ◽  
Single Cell Isolation
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