Literature DB >> 17728993

Flow cytometry and cell sorting.

Sherrif F Ibrahim1, Ger van den Engh.   

Abstract

Flow cytometry and cell sorting are well-established technologies in clinical diagnostics and biomedical research. Heterogeneous mixtures of cells are placed in suspension and passed single file across one or more laser interrogation points. Light signals emitted from the particles are collected and correlated to entities such as cell morphology, surface and intracellular protein expression, gene expression, and cellular physiology. Based on user-defined parameters, individual cells can then be diverted from the fluid stream and collected into viable, homogeneous fractions at exceptionally high speeds and a purity that approaches 100%. As such, the cell sorter becomes the launching point for numerous downstream studies. Flow cytometry is a cornerstone in clinical diagnostics, and cheaper, more versatile machines are finding their way into widespread and varied uses. In addition, advances in computing and optics have led to a new generation of flow cytometers capable of processing cells at orders of magnitudes faster than their predecessors, and with staggering degrees of complexity, making the cytometer a powerful discovery tool in biotechnology. This chapter will begin with a discussion of basic principles of flow cytometry and cell sorting, including a technical description of factors that contribute to the performance of these instruments. The remaining sections will then be divided into clinical- and research-based applications of flow cytometry and cell sorting, highlighting salient studies that illustrate the versatility of this indispensable technology.

Mesh:

Year:  2007        PMID: 17728993     DOI: 10.1007/10_2007_073

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  40 in total

1.  Laser-guidance based detection of cells with single-gene modification.

Authors:  Zhen Ma; Karen J L Burg; Yanzhang Wei; X-C Yuan; Xiang Peng; Bruce Z Gao
Journal:  Appl Phys Lett       Date:  2008-05-29       Impact factor: 3.791

2.  Laser guidance-based cell detection in a microfluidic biochip.

Authors:  Wan Qin; Lucas Schmidt; Xiaoqi Yang; Lina Wei; Ting Huang; Julie X Yuan; Xiang Peng; Xiaocong Yuan; Bruce Z Gao
Journal:  J Biomed Opt       Date:  2013-06       Impact factor: 3.170

3.  Rare cell separation and analysis by magnetic sorting.

Authors:  Maciej Zborowski; Jeffrey J Chalmers
Journal:  Anal Chem       Date:  2011-08-19       Impact factor: 6.986

4.  Laser-guidance based cell detection for identifying malignant cancerous cells without any fluorescent markers.

Authors:  Zhen Ma; Bruce Z Gao
Journal:  Biotechnol Lett       Date:  2011-05-31       Impact factor: 2.461

Review 5.  Intrinsic Vascular Repair by Endothelial Progenitor Cells in Acute Coronary Syndromes: an Update Overview.

Authors:  Vânia Leal; Carlos Fontes Ribeiro; Bárbara Oliveiros; Natália António; Sónia Silva
Journal:  Stem Cell Rev Rep       Date:  2019-02       Impact factor: 5.739

6.  Advancing a clinically relevant perspective of the clonal nature of cancer.

Authors:  Christian Ruiz; Elizabeth Lenkiewicz; Lisa Evers; Tara Holley; Alex Robeson; Jeffrey Kiefer; Michael J Demeure; Michael A Hollingsworth; Michael Shen; Donna Prunkard; Peter S Rabinovitch; Tobias Zellweger; Spyro Mousses; Jeffrey M Trent; John D Carpten; Lukas Bubendorf; Daniel Von Hoff; Michael T Barrett
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-05       Impact factor: 11.205

Review 7.  Institutional shared resources and translational cancer research.

Authors:  Paolo De Paoli
Journal:  J Transl Med       Date:  2009-06-29       Impact factor: 5.531

Review 8.  Role of memory T cell subsets for adoptive immunotherapy.

Authors:  Dirk H Busch; Simon P Fräßle; Daniel Sommermeyer; Veit R Buchholz; Stanley R Riddell
Journal:  Semin Immunol       Date:  2016-03-11       Impact factor: 11.130

9.  Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Authors:  Mathieu Clément-Ziza; David Gentien; Stanislas Lyonnet; Jean-Paul Thiery; Claude Besmond; Charles Decraene
Journal:  BMC Genomics       Date:  2009-05-26       Impact factor: 3.969

10.  Whole genome amplification and de novo assembly of single bacterial cells.

Authors:  Sébastien Rodrigue; Rex R Malmstrom; Aaron M Berlin; Bruce W Birren; Matthew R Henn; Sallie W Chisholm
Journal:  PLoS One       Date:  2009-09-02       Impact factor: 3.240

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