Literature DB >> 31077102

Automated Cell Processing for Mass Cytometry Experiments.

Jaromir Mikes1, Axel Olin1, Tadepally Lakshmikanth1, Yang Chen1, Petter Brodin2,3.   

Abstract

Mass cytometry is a powerful technology for high-dimensional single-cell measurements in millions of individual cells. Antibodies and other detection probes are coupled to elemental tags, each with a unique mass and detectable at single-cell resolution using an ICP-MS type of instrument. Given the sensitivity of the detection system, any free metal ions must be carefully removed through multiple rounds of washing in order to prevent background signal. This results in significant loss of cells. Together with cells lost during acquisition, the final data can represent as little as 10% of the starting material, seriously limiting the amount of information that can be extracted from small samples. Furthermore, complex staining protocols introduce experimental variations that limit comparisons across experiments. Here we present a cell processing and staining procedure for mass cytometry fully automated using a liquid handling robotic system and we present measures taken to optimize all steps of the protocol. These advances are applicable to both manual and automated protocols and provide a six-fold higher cell yield as compared to a standard protocol. With this increased yield and improved reproducibility this protocol now allows us to perform mass cytometry analysis using as little as 100 μL of whole blood as starting material.

Entities:  

Keywords:  Cell processing; Flow cytometry; Lab automation; Liquid handling robotics; Mass cytometry; Protocol

Mesh:

Year:  2019        PMID: 31077102     DOI: 10.1007/978-1-4939-9454-0_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  PeacoQC: Peak-based selection of high quality cytometry data.

Authors:  Annelies Emmaneel; Katrien Quintelier; Dorine Sichien; Paulina Rybakowska; Concepción Marañón; Marta E Alarcón-Riquelme; Gert Van Isterdael; Sofie Van Gassen; Yvan Saeys
Journal:  Cytometry A       Date:  2021-10-03       Impact factor: 4.714

Review 2.  Key steps and methods in the experimental design and data analysis of highly multi-parametric flow and mass cytometry.

Authors:  Paulina Rybakowska; Marta E Alarcón-Riquelme; Concepción Marañón
Journal:  Comput Struct Biotechnol J       Date:  2020-03-31       Impact factor: 7.271

3.  Systems-Level Immunomonitoring from Acute to Recovery Phase of Severe COVID-19.

Authors:  Lucie Rodriguez; Pirkka T Pekkarinen; Tadepally Lakshmikanth; Ziyang Tan; Camila Rosat Consiglio; Christian Pou; Yang Chen; Constantin Habimana Mugabo; Ngoc Anh Nguyen; Kirsten Nowlan; Tomas Strandin; Lev Levanov; Jaromir Mikes; Jun Wang; Anu Kantele; Jussi Hepojoki; Olli Vapalahti; Santtu Heinonen; Eliisa Kekäläinen; Petter Brodin
Journal:  Cell Rep Med       Date:  2020-08-05
  3 in total

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