Literature DB >> 21704853

Recent advances in flow cytometric cell sorting.

Geoffrey W Osborne1.   

Abstract

The classification and separation of one cell type or particle from others is a fundamental task in many areas of science. Numerous techniques are available to perform this task; however, electrostatic cell sorting has gained eminence over others because, when combined with the analysis capabilities of flow cytometry it provides flexible separations based on multiple parameters. Unlike competing technologies, such as gradient or magnetic separations that offer much larger total throughput, flow cytometric cell sorting permits selections based on various levels of fluorescent reporters, rather the complete presence or absence of the reporter. As such, this technology has found application in a huge range of fields. This chapter aims to describe the utility of single-cell sorting with particular emphasis given to index sorting. This is followed by two recently developed novel techniques of sorting cells or particles. The first of these is positional sorting which is useful in cell-based studies where sorting can proceed and produce meaningful results without being inherently dependant on prior knowledge of where gates should be set. Secondly, reflective plate sorting is introduced which positionally links multiwell sample and collection plates in a convenient assay format so that cells in the collection plate "reflect" those in the sample plate.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21704853     DOI: 10.1016/B978-0-12-374912-3.00021-3

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  16 in total

Review 1.  Recent advances in nanobiotechnology and high-throughput molecular techniques for systems biomedicine.

Authors:  Eung-Sam Kim; Eun Hyun Ahn; Euiheon Chung; Deok-Ho Kim
Journal:  Mol Cells       Date:  2013-11-20       Impact factor: 5.034

Review 2.  Single cell immune profiling in transplantation research.

Authors:  Lauren E Higdon; Steven Schaffert; Purvesh Khatri; Jonathan S Maltzman
Journal:  Am J Transplant       Date:  2019-03-20       Impact factor: 8.086

Review 3.  The trajectory of microbial single-cell sequencing.

Authors:  Tanja Woyke; Devin F R Doud; Frederik Schulz
Journal:  Nat Methods       Date:  2017-10-31       Impact factor: 28.547

4.  Optimization of single-cell plate sorting for high throughput sequencing applications.

Authors:  Lauren E Higdon; Corey J Cain; Melissa A Colden; Jonathan S Maltzman
Journal:  J Immunol Methods       Date:  2018-12-24       Impact factor: 2.303

5.  Enhanced size-dependent trapping of particles using microvortices.

Authors:  Jian Zhou; Susan Kasper; Ian Papautsky
Journal:  Microfluid Nanofluidics       Date:  2013-11-01       Impact factor: 2.529

6.  A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation.

Authors:  Sonia Nestorowa; Fiona K Hamey; Blanca Pijuan Sala; Evangelia Diamanti; Mairi Shepherd; Elisa Laurenti; Nicola K Wilson; David G Kent; Berthold Göttgens
Journal:  Blood       Date:  2016-06-30       Impact factor: 22.113

7.  Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations.

Authors:  Nicola K Wilson; David G Kent; Florian Buettner; Mona Shehata; Iain C Macaulay; Fernando J Calero-Nieto; Manuel Sánchez Castillo; Caroline A Oedekoven; Evangelia Diamanti; Reiner Schulte; Chris P Ponting; Thierry Voet; Carlos Caldas; John Stingl; Anthony R Green; Fabian J Theis; Berthold Göttgens
Journal:  Cell Stem Cell       Date:  2015-05-21       Impact factor: 24.633

8.  Index sorting resolves heterogeneous murine hematopoietic stem cell populations.

Authors:  Reiner Schulte; Nicola K Wilson; Janine C M Prick; Chiara Cossetti; Michal K Maj; Berthold Gottgens; David G Kent
Journal:  Exp Hematol       Date:  2015-06-04       Impact factor: 3.084

Review 9.  Understanding hematopoiesis from a single-cell standpoint.

Authors:  Konstantinos D Kokkaliaris; Daniel Lucas; Isabel Beerman; David G Kent; Leïla Perié
Journal:  Exp Hematol       Date:  2016-03-18       Impact factor: 3.084

10.  Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling.

Authors:  Victoria Moignard; Berthold Göttgens
Journal:  Bioessays       Date:  2014-01-28       Impact factor: 4.345

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