Literature DB >> 28340685

Research Techniques Made Simple: Experimental Methodology for Single-Cell Mass Cytometry.

Tiago R Matos1, Hongye Liu2, Jerome Ritz2.   

Abstract

Growing recognition of the complexity of interactions within cellular systems has fueled the development of mass cytometry. The precision of time-of-flight mass spectrometry combined with the labeling of specific ligands with mass tags enables detection and quantification of more than 40 markers at a single-cell resolution. The 135 available detection channels allow simultaneous study of additional characteristics of complex biological systems across millions of cells. Cutting-edge mass cytometry by time-of-flight (CyTOF) can profoundly affect our knowledge of cell population heterogeneity and hierarchy, cellular state, multiplexed signaling pathways, proteolysis products, and mRNA transcripts. Although CyTOF is currently scarcely used within the field of investigative dermatology, we aim to highlight CyTOF's utility and demystify the technique. CyTOF may, for example, uncover the immunological heterogeneity and differentiation of Langerhans cells, delineate the signaling pathways responsible for each phase of the hair cycle, or elucidate which proteolysis products from keratinocytes promote skin inflammation. However, the success of mass cytometry experiments depends on fully understanding the methods and how to control for variations when making comparisons between samples. Here, we review key experimental methods for CyTOF that enable accurate data acquisition by optimizing signal detection and minimizing background noise and sample-to-sample variation.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28340685     DOI: 10.1016/j.jid.2017.02.006

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  8 in total

Review 1.  Precision Medicine for Acute Kidney Injury (AKI): Redefining AKI by Agnostic Kidney Tissue Interrogation and Genetics.

Authors:  Krzysztof Kiryluk; Andrew S Bomback; Yim-Ling Cheng; Katherine Xu; Pablo G Camara; Raul Rabadan; Peter A Sims; Jonathan Barasch
Journal:  Semin Nephrol       Date:  2018-01       Impact factor: 5.299

Review 2.  Functional genomics: paving the way for more successful cancer immunotherapy.

Authors:  Reham Ajina; Danielle Zamalin; Louis M Weiner
Journal:  Brief Funct Genomics       Date:  2019-03-22       Impact factor: 4.241

Review 3.  Research Techniques Made Simple: Use of Imaging Mass Cytometry for Dermatological Research and Clinical Applications.

Authors:  Jesse Veenstra; Peter Dimitrion; Yi Yao; Li Zhou; David Ozog; Qing-Sheng Mi
Journal:  J Invest Dermatol       Date:  2021-04       Impact factor: 8.551

Review 4.  Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.

Authors:  Mark C Blaser; Simon Kraler; Thomas F Lüscher; Elena Aikawa
Journal:  Circ Res       Date:  2021-04-29       Impact factor: 17.367

5.  Maturation and Phenotypic Heterogeneity of Human CD4+ Regulatory T Cells From Birth to Adulthood and After Allogeneic Stem Cell Transplantation.

Authors:  Tiago R Matos; Masahiro Hirakawa; Ana C Alho; Lars Neleman; Luis Graca; Jerome Ritz
Journal:  Front Immunol       Date:  2021-01-18       Impact factor: 7.561

Review 6.  Facets of ICP-MS and their potential in the medical sciences-Part 2: nanomedicine, immunochemistry, mass cytometry, and bioassays.

Authors:  David Clases; Raquel Gonzalez de Vega
Journal:  Anal Bioanal Chem       Date:  2022-08-31       Impact factor: 4.478

Review 7.  2020 Jeffrey M. Hoeg Award Lecture: Calcifying Extracellular Vesicles as Building Blocks of Microcalcifications in Cardiovascular Disorders.

Authors:  Elena Aikawa; Mark C Blaser
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-10-29       Impact factor: 8.311

Review 8.  Classical Dichotomy of Macrophages and Alternative Activation Models Proposed with Technological Progress.

Authors:  Yali Wei; Mengxi Wang; Yuwen Ma; Zhenni Que; Dengbo Yao
Journal:  Biomed Res Int       Date:  2021-10-21       Impact factor: 3.411

  8 in total

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