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Rico LG, de la Calle FR, Salvia R, Ward MD, Bradford JA, Juncà J, Sorigué M, Petriz J. Impact of red blood cell lysing on rare event analysis. Cytometry A 2022; 103:335-346. [PMID: 36069147 DOI: 10.1002/cyto.a.24688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/26/2022] [Accepted: 08/30/2022] [Indexed: 11/10/2022]
Abstract
The challenges associated with analyzing rare cells are dependent on a series of factors, which usually require large numbers of cells per sample for successful resolution. Among these is determining the minimum number of total events needed to be acquired as defined by the expected frequency of the target cell population. The choice of markers that identify the target population, as well as the event rate and the number of aborted events/second, will also determine the statistically significant detection of rare cell events. Sample preparation is another important but often overlooked factor in rare cell analysis, and in this study we examine Poisson theory and methods to determine the effect of sample manipulation on rare cell detection. After verifying the applicability of this theory, we have evaluated the potential impact of red cell lysis on rare cell analysis, and how cell rarity can be underestimated or overestimated based on erythrolytic sensitivity or resistance of healthy leukocytes and pathological rare cells. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Laura G Rico
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP) , ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Fernando Raimúndez de la Calle
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP) , ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Roser Salvia
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP) , ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Mike D Ward
- Thermo Fisher Scientific, Eugene, Oregon, USA
| | | | - Jordi Juncà
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP) , ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Marc Sorigué
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP) , ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Jordi Petriz
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP) , ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
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Lippeveld M, Knill C, Ladlow E, Fuller A, Michaelis LJ, Saeys Y, Filby A, Peralta D. Classification of Human White Blood Cells Using Machine Learning for Stain‐Free Imaging Flow Cytometry. Cytometry A 2019; 97:308-319. [DOI: 10.1002/cyto.a.23920] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/10/2019] [Accepted: 10/02/2019] [Indexed: 11/12/2022]
Affiliation(s)
- Maxim Lippeveld
- Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research Ghent Belgium
- Department of Applied Mathematics, Computer Science and StatisticsGhent University Belgium
| | - Carly Knill
- Institute of Cellular MedicineNewcastle University Newcastle upon Tyne UK
| | - Emma Ladlow
- Institute of Cellular MedicineNewcastle University Newcastle upon Tyne UK
- Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle upon Tyne UK
| | - Andrew Fuller
- Institute of Cellular MedicineNewcastle University Newcastle upon Tyne UK
| | - Louise J Michaelis
- Great North Children's Hospital, Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle upon Tyne UK
- Institute of Health and SocietyUniversity of Newcastle Newcastle upon Tyne UK
| | - Yvan Saeys
- Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research Ghent Belgium
- Department of Applied Mathematics, Computer Science and StatisticsGhent University Belgium
| | - Andrew Filby
- Institute of Cellular MedicineNewcastle University Newcastle upon Tyne UK
| | - Daniel Peralta
- Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research Ghent Belgium
- Department of Applied Mathematics, Computer Science and StatisticsGhent University Belgium
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Altunbek M, Kuku G, Culha M. Gold Nanoparticles in Single-Cell Analysis for Surface Enhanced Raman Scattering. Molecules 2016; 21:E1617. [PMID: 27897986 PMCID: PMC6273107 DOI: 10.3390/molecules21121617] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 11/17/2016] [Accepted: 11/22/2016] [Indexed: 01/24/2023] Open
Abstract
The need for new therapeutic approaches in the treatment of challenging diseases such as cancer, which often consists of a highly heterogeneous and complex population of cells, brought up the idea of analyzing single cells. The development of novel techniques to analyze single cells has been intensively studied to fully understand specific alternations inducing abnormalities in cellular function. One of the techniques used for single cell analysis is surface-enhanced Raman spectroscopy (SERS) in which a noble metal nanoparticle is used to enhance Raman scattering. Due to its low toxicity and biocompatibility, gold nanoparticles (AuNPs) are commonly preferred as SERS substrates in single cell analysis. The intracellular uptake, localization and toxicity issues of AuNPs are the critical points for interpretation of data since the obtained SERS signals originate from molecules in close vicinity to AuNPs that are taken up by the cells. In this review, the AuNP-living cell interactions, cellular uptake and toxicity of AuNPs in relation to their physicochemical properties, and surface-enhanced Raman scattering from single cells are discussed.
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Affiliation(s)
- Mine Altunbek
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Atasehir, Istanbul 34755, Turkey.
| | - Gamze Kuku
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Atasehir, Istanbul 34755, Turkey.
| | - Mustafa Culha
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Atasehir, Istanbul 34755, Turkey.
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