Mass Cytometry: Single Cells, Many Features

By M. Spitzer, Garry P. Nolan. Cell, 2016

1,068 citations recorded by the source corpus.

Summary Technology development in biological research often aims to either increase the number of cellular features that can be surveyed simultaneously or enhance the resolution at which such observations are possible. For decades flow cytometry has balanced these goals to fill a critical need by enabling the measurement of multiple features in single cells, commonly to examine complex or hierarchical cellular systems. Recently, a format for flow cytometry has been developed that leverages the precision of mass spectrometry. This fusion of the two technologies, termed mass cytometry, provides measurement of over 40 simultaneous cellular parameters at single-cell resolution, significantly augmenting the ability of cytometry to evaluate complex cellular systems and processes. In this Primer, we review the current state of mass cytometry, providing an overview of the instrumentation, its present capabilities, and methods of data analysis as well as thoughts on future developments and applications.

Subfields: Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/362a5b9e07dfbd7f5f52d4635af7401df11f7897

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In Biophysics

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Citations in the corpus

• Utilizing graph machine learning within drug discovery and development (2021, background): “via mass cytometry [17], or even multiple modalities together [18].”
• Intratumor heterogeneity: the Rosetta stone of therapy resistance (2020, background): “Phenotypic heterogeneity can also be assessed by high multiplexing capacity of CytometryTime-of-Flight (CyTOF) (Spitzer and Nolan, 2016), multiplexed ion beam imaging (MIBI) (Angelo et al.”
• Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding (2018, background): “…of parameters, respectively, thus making the development of new computational approaches for the visualization of such data a fundamental need (20). tSNE is currently the most popular approach in this regard as it displays single cells on an intuitive 2D graph and where relative antigen or…”
• Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade (2017, neutral): “Mass-cytometry-driven approaches have been utilized to characterize cellular processes including hematopoiesis, immune-cell differentiation, and leukemic disease progression (Bendall et al., 2011; Spitzer and Nolan, 2016) and, more recently, to analyze the immune infiltrates of solid tumors (Chevrie”
• Fisetin is a senotherapeutic that extends health and lifespan (2018, methodology): “This high dimensional single-cell proteomics technique combines time-of-flight mass spectrometry with metal-labelling technology to detect up to 40 protein targets per cell [54,55].”