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Platforms for Single-Cell Collection and Analysis

Single-cell analysis has become an established method to study cell heterogeneity and for rare cell characterization. Despite the high cost and technical constraints, applications are increasing every year in all fields of biology. Following the trend, there is a tremendous development of tools for...

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Detalles Bibliográficos
Autores principales: Valihrach, Lukas, Androvic, Peter, Kubista, Mikael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877668/
https://www.ncbi.nlm.nih.gov/pubmed/29534489
http://dx.doi.org/10.3390/ijms19030807
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author Valihrach, Lukas
Androvic, Peter
Kubista, Mikael
author_facet Valihrach, Lukas
Androvic, Peter
Kubista, Mikael
author_sort Valihrach, Lukas
collection PubMed
description Single-cell analysis has become an established method to study cell heterogeneity and for rare cell characterization. Despite the high cost and technical constraints, applications are increasing every year in all fields of biology. Following the trend, there is a tremendous development of tools for single-cell analysis, especially in the RNA sequencing field. Every improvement increases sensitivity and throughput. Collecting a large amount of data also stimulates the development of new approaches for bioinformatic analysis and interpretation. However, the essential requirement for any analysis is the collection of single cells of high quality. The single-cell isolation must be fast, effective, and gentle to maintain the native expression profiles. Classical methods for single-cell isolation are micromanipulation, microdissection, and fluorescence-activated cell sorting (FACS). In the last decade several new and highly efficient approaches have been developed, which not just supplement but may fully replace the traditional ones. These new techniques are based on microfluidic chips, droplets, micro-well plates, and automatic collection of cells using capillaries, magnets, an electric field, or a punching probe. In this review we summarize the current methods and developments in this field. We discuss the advantages of the different commercially available platforms and their applicability, and also provide remarks on future developments.
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spelling pubmed-58776682018-04-09 Platforms for Single-Cell Collection and Analysis Valihrach, Lukas Androvic, Peter Kubista, Mikael Int J Mol Sci Review Single-cell analysis has become an established method to study cell heterogeneity and for rare cell characterization. Despite the high cost and technical constraints, applications are increasing every year in all fields of biology. Following the trend, there is a tremendous development of tools for single-cell analysis, especially in the RNA sequencing field. Every improvement increases sensitivity and throughput. Collecting a large amount of data also stimulates the development of new approaches for bioinformatic analysis and interpretation. However, the essential requirement for any analysis is the collection of single cells of high quality. The single-cell isolation must be fast, effective, and gentle to maintain the native expression profiles. Classical methods for single-cell isolation are micromanipulation, microdissection, and fluorescence-activated cell sorting (FACS). In the last decade several new and highly efficient approaches have been developed, which not just supplement but may fully replace the traditional ones. These new techniques are based on microfluidic chips, droplets, micro-well plates, and automatic collection of cells using capillaries, magnets, an electric field, or a punching probe. In this review we summarize the current methods and developments in this field. We discuss the advantages of the different commercially available platforms and their applicability, and also provide remarks on future developments. MDPI 2018-03-11 /pmc/articles/PMC5877668/ /pubmed/29534489 http://dx.doi.org/10.3390/ijms19030807 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Valihrach, Lukas
Androvic, Peter
Kubista, Mikael
Platforms for Single-Cell Collection and Analysis
title Platforms for Single-Cell Collection and Analysis
title_full Platforms for Single-Cell Collection and Analysis
title_fullStr Platforms for Single-Cell Collection and Analysis
title_full_unstemmed Platforms for Single-Cell Collection and Analysis
title_short Platforms for Single-Cell Collection and Analysis
title_sort platforms for single-cell collection and analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877668/
https://www.ncbi.nlm.nih.gov/pubmed/29534489
http://dx.doi.org/10.3390/ijms19030807
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