Recent developments in single-cell analysis

Xin Lu; Wei-Hua Huang; Zong-Li Wang; Jie-Ke Cheng

doi:10.1016/j.aca.2004.01.014

Advances in Single-Cell Printing

Micromachines ◽

10.3390/mi13010080 ◽

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.

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Preparation of Tissues and Heterogeneous Cellular Samples for Single-Cell Analysis

10.5772/intechopen.100184 ◽

2021 ◽

Author(s):

E. Celeste Welch ◽

Anubhav Tripathi

Keyword(s):

Sample Preparation ◽

Single Cell ◽

Single Cell Analysis ◽

Single Cells ◽

Cell Analysis ◽

Processing Times ◽

Tissue Dissociation ◽

Emerging Trends ◽

Recent Developments ◽

Preparation Techniques

While sample preparation techniques for the chemical and biochemical analysis of tissues are fairly well advanced, the preparation of complex, heterogenous samples for single-cell analysis can be difficult and challenging. Nevertheless, there is growing interest in preparing complex cellular samples, particularly tissues, for analysis via single-cell resolution techniques such as single-cell sequencing or flow cytometry. Recent microfluidic tissue dissociation approaches have helped to expedite the preparation of single cells from tissues through the use of optimized, controlled mechanical forces. Cell sorting and selective cellular recovery from heterogenous samples have also gained traction in biosensors, microfluidic systems, and other diagnostic devices. Together, these recent developments in tissue disaggregation and targeted cellular retrieval have contributed to the development of increasingly streamlined sample preparation workflows for single-cell analysis technologies, which minimize equipment requirements, enable lower processing times and costs, and pave the way for high-throughput, automated technologies. In this chapter, we survey recent developments and emerging trends in this field.

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An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq

10.1101/070193 ◽

2016 ◽

Cited By ~ 1

Author(s):

Jinzhou Yuan ◽

Peter A. Sims

Keyword(s):

Single Cell ◽

Expression Profiling ◽

Large Scale ◽

Single Cell Analysis ◽

Cell Analysis ◽

Cell Capture ◽

Rna Seq ◽

Fluorescent Cell ◽

Recent Developments ◽

Improved Performance

Recent developments have enabled rapid, inexpensive RNA sequencing of thousands of individual cells from a single specimen, raising the possibility of unbiased and comprehensive expression profiling from complex tissues. Microwell arrays are a particularly attractive microfluidic platform for single cell analysis due to their scalability, cell capture efficiency, and compatibility with imaging. We report an automated microwell array platform for single cell RNA-Seq with significantly improved performance over previous implementations. We demonstrate cell capture efficiencies of >50%, compatibility with commercially available barcoded mRNA capture beads, and parallel expression profiling from thousands of individual cells. We evaluate the level of cross-contamination in our platform by both tracking fluorescent cell lysate in sealed microwells and with a human-mouse mixed species RNA-Seq experiment. Finally, we apply our system to comprehensively assess heterogeneity in gene expression of patient-derived glioma neurospheres and uncover subpopulations similar to those observed in human glioma tissue.

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