Rybakowska, PaulinaAlarcón-Riquelme, Marta E.Marañón, Concepción2022-06-082022-06-082020-03-31Rybakowska P, Alarcón-Riquelme ME, Marañón C. Key steps and methods in the experimental design and data analysis of highly multi-parametric flow and mass cytometry. Comput Struct Biotechnol J. 2020 Mar 31;18:874-886http://hdl.handle.net/10668/3683High-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.enAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Flow cytometryMass cytometryBioinformaticsComputational toolsSingle-cell proteomicsData accuracyCitometría de flujoBiología computacionalAlgoritmosCélulasExactitud de los datosMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Cytological Techniques::Cytophotometry::Flow CytometryMedical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Computational BiologyMedical Subject Headings::Phenomena and Processes::Chemical Phenomena::Biochemical Phenomena::Biochemical Processes::PhosphorylationMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Methods::Research DesignMedical Subject Headings::Phenomena and Processes::Mathematical Concepts::AlgorithmsMedical Subject Headings::Information Science::Information Science::Computing Methodologies::AlgorithmsMedical Subject Headings::Anatomy::CellsKey steps and methods in the experimental design and data analysis of highly multi-parametric flow and mass cytometryreview article32322369Acceso abierto10.1016/j.csbj.2020.03.0242001-0370PMC7163213