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

Key steps and methods in the experimental design and data analysis of highly multi-parametric flow and mass cytometry. Comput Struct Biotechnol J. 2020;18:874-886 Authors: Rybakowska P, Alarcón-Riquelme ME, Marañón C Abstract High-dimensional, single-cell cell technologies revolutionized the way to study biological systems, and polychromatic flow cytometry (FC) and mass cytometry (MC) are two of the drivers of this revolution. As up to 30-50 dimensions respectively can be measured per single-cell, they allow deep phenotyping combined with cellular functions studies, like cytokine production or protein phosphorylation. In parallel, the bioinformatics field develops algorithms that are able to process incoming data and extract the most useful and meaningful biological information. However, the success of automated analysis tools depends on the generation of high-quality data. In this review we present the most recent FC and MC computational approaches that are used to prepare, process and interpret high-content cytometry data. We also underscore proper experimental design as a key step for obtaining good quality data. PMID: 32322369 [PubMed]
Source: Genomics Proteomics ... - Category: Genetics & Stem Cells Authors: Tags: Comput Struct Biotechnol J Source Type: research