Literature DB >> 27490854

Lymphocyte enrichment using CD81-targeted immunoaffinity matrix.

Ondřej Pelák1, Daniela Kužílková1, Daniel Thürner1, Marie-Luise Kiene2, Kristian Stanar2, Jan Stuchlý1, Martina Vášková1, Jan Starý1, Ondřej Hrušák1, Herbert Stadler2, Tomáš Kalina1.   

Abstract

In mass cytometry, the isolation of pure lymphocytes is very important to obtain reproducible results and to shorten the time spent on data acquisition. To prepare highly purified cell suspensions of peripheral blood lymphocytes for further analysis on mass cytometer, we used the new CD81+ immune affinity chromatography cell isolation approach. Using 21 metal conjugated antibodies in a single tube we were able to identify all basic cell subsets and compare their relative abundance in final products obtained by density gradient (Ficoll-Paque) and immune affinity chromatography (CD81+ T-catch™) isolation approach. We show that T-catch isolation approach results in purer final product than Ficoll-Paque (P values 0.0156), with fewer platelets bound to target cells. As a result acquisition time of 105 nucleated cells was 3.5 shorter. We then applied unsupervised high dimensional analysis viSNE algorithm to compare the two isolation protocols, which allowed us to evaluate the contribution of unsupervised analysis over supervised manual gating. ViSNE algorithm effectively characterized almost all supervised cell subsets. Moreover, viSNE uncovered previously overseen cell subsets and showed inaccuracies in Maxpar™ Human peripheral blood phenotyping panel kit recommended gating strategy. These findings emphasize the use of unsupervised analysis tools in parallel with conventional gating strategy to mine the complete information from a set of samples. They also stress the importance of the impurity removal to sensitively detect rare cell populations in unsupervised analysis.
© 2016 International Society for Advancement of Cytometry. © 2016 International Society for Advancement of Cytometry.

Entities:  

Keywords:  CD81; CyTOF; Ficoll-Paque; T-catch™; human PBMC; mass cytometry; platelets; viSNE

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Year:  2016        PMID: 27490854     DOI: 10.1002/cyto.a.22918

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  3 in total

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Journal:  Bioengineering (Basel)       Date:  2017-08-02

2.  Delineating Human B Cell Precursor Development With Genetically Identified PID Cases as a Model.

Authors:  Marjolein W J Wentink; Tomas Kalina; Martin Perez-Andres; Lucia Del Pino Molina; Hanna IJspeert; François G Kavelaars; Arjan C Lankester; Quentin Lecrevisse; Jacques J M van Dongen; Alberto Orfao; Mirjam van der Burg
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Review 3.  Commonly Assessed Markers in Childhood BCP-ALL Diagnostic Panels and Their Association with Genetic Aberrations and Outcome Prediction.

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Journal:  Genes (Basel)       Date:  2022-07-31       Impact factor: 4.141

  3 in total

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