Progress and Applications of Mass Cytometry in Sketching Immune Landscapes

Overview

Journal Clin Transl Med

Publisher Wiley

Specialty General Medicine

Date 2020 Nov 2

PMID 33135337

Citations 24

Authors

Ting Zhang

Antony R Warden

Yiyang Li

Xianting Ding

Affiliations

Soon will be listed here.

Abstract

Recently emerged mass cytometry (cytometry by time-of-flight [CyTOF]) technology permits the identification and quantification of inherently diverse cellular systems, and the simultaneous measurement of functional attributes at the single-cell resolution. By virtue of its multiplex ability with limited need for compensation, CyTOF has led a critical role in immunological research fields. Here, we present an overview of CyTOF, including the introduction of CyTOF principle and advantages that make it a standalone tool in deciphering immune mysteries. We then discuss the functional assays, introduce the bioinformatics to interpret the data yield via CyTOF, and depict the emerging clinical and research applications of CyTOF technology in sketching immune landscape in a wide variety of diseases.

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References

Good Z, Borges L, Vivanco Gonzalez N, Sahaf B, Samusik N, Tibshirani R . Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells. Nat Biotechnol. 2019; 37(3):259-266. PMC: 6521980. DOI: 10.1038/s41587-019-0033-2. View

Li Z, Hu J, Qin Z, Tao Y, Lai Z, Wang Q . High-dimensional single-cell proteomics analysis reveals the landscape of immune cells and stem-like cells in renal tumors. J Clin Lab Anal. 2019; 34(5):e23155. PMC: 7246380. DOI: 10.1002/jcla.23155. View

Wang M, Huang Y, Kong J, Sun Y, Tantalo D, Yeang H . High-dimensional analyses reveal a distinct role of T-cell subsets in the immune microenvironment of gastric cancer. Clin Transl Immunology. 2020; 9(5):e1127. PMC: 7200219. DOI: 10.1002/cti2.1127. View

Simoni Y, Becht E, Fehlings M, Loh C, Koo S, Teng K . Bystander CD8 T cells are abundant and phenotypically distinct in human tumour infiltrates. Nature. 2018; 557(7706):575-579. DOI: 10.1038/s41586-018-0130-2. View

Rudolph M, McArthur M, Magder L, Barnes R, Chen W, Sztein M . Age-Associated Heterogeneity of Ty21a-Induced T Cell Responses to HLA-E Restricted Typhi Antigen Presentation. Front Immunol. 2019; 10:257. PMC: 6409365. DOI: 10.3389/fimmu.2019.00257. View

Haghverdi L, Buettner F, Theis F . Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinformatics. 2015; 31(18):2989-98. DOI: 10.1093/bioinformatics/btv325. View

Leong J, Chen P, Yeo J, Ally F, Chua C, Nur Hazirah S . Immunome perturbation is present in patients with juvenile idiopathic arthritis who are in remission and will relapse upon anti-TNFα withdrawal. Ann Rheum Dis. 2019; 78(12):1712-1721. PMC: 6900250. DOI: 10.1136/annrheumdis-2019-216059. View

Kimball A, Oko L, Kaspar R, van Dyk L, Clambey E . High-Dimensional Characterization of IL-10 Production and IL-10-Dependent Regulation during Primary Gammaherpesvirus Infection. Immunohorizons. 2019; 3(3):94-109. DOI: 10.4049/immunohorizons.1800088. View

Churko J, Garg P, Treutlein B, Venkatasubramanian M, Wu H, Lee J . Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis. Nat Commun. 2018; 9(1):4906. PMC: 6249224. DOI: 10.1038/s41467-018-07333-4. View

10.

Bader L, Gullaksen S, Blaser N, Brun M, Bringeland G, Sulen A . Candidate Markers for Stratification and Classification in Rheumatoid Arthritis. Front Immunol. 2019; 10:1488. PMC: 6626904. DOI: 10.3389/fimmu.2019.01488. View

11.

Shinko D, McGuire H, Diakos C, Pavlakis N, Clarke S, Byrne S . Mass Cytometry Reveals a Sustained Reduction in CD16 Natural Killer Cells Following Chemotherapy in Colorectal Cancer Patients. Front Immunol. 2019; 10:2584. PMC: 6848231. DOI: 10.3389/fimmu.2019.02584. View

12.

Kumar P, Chan Wei Shih D, Lim A, Paleja B, Ling S, Li Yun L . Pro-inflammatory, IL-17 pathways dominate the architecture of the immunome in pediatric refractory epilepsy. JCI Insight. 2019; 5. PMC: 6538358. DOI: 10.1172/jci.insight.126337. View

13.

Subrahmanyam P, Dong Z, Gusenleitner D, Giobbie-Hurder A, Severgnini M, Zhou J . Distinct predictive biomarker candidates for response to anti-CTLA-4 and anti-PD-1 immunotherapy in melanoma patients. J Immunother Cancer. 2018; 6(1):18. PMC: 5840795. DOI: 10.1186/s40425-018-0328-8. View

14.

Yang Z, Kim H, Villasboas J, Price-Troska T, Jalali S, Wu H . Mass Cytometry Analysis Reveals that Specific Intratumoral CD4 T Cell Subsets Correlate with Patient Survival in Follicular Lymphoma. Cell Rep. 2019; 26(8):2178-2193.e3. PMC: 6402596. DOI: 10.1016/j.celrep.2019.01.085. View

15.

Zhang F, Wei K, Slowikowski K, Fonseka C, Rao D, Kelly S . Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry. Nat Immunol. 2019; 20(7):928-942. PMC: 6602051. DOI: 10.1038/s41590-019-0378-1. View

16.

Leite Pereira A, Bitoun S, Paoletti A, Nocturne G, Marcos Lopez E, Cosma A . Characterization of Phenotypes and Functional Activities of Leukocytes From Rheumatoid Arthritis Patients by Mass Cytometry. Front Immunol. 2019; 10:2384. PMC: 6813461. DOI: 10.3389/fimmu.2019.02384. View

17.

Bringeland G, Bader L, Blaser N, Budzinski L, Schulz A, Mei H . Optimization of Receptor Occupancy Assays in Mass Cytometry: Standardization Across Channels with QSC Beads. Cytometry A. 2019; 95(3):314-322. PMC: 6590231. DOI: 10.1002/cyto.a.23723. View

18.

See P, Dutertre C, Chen J, Gunther P, McGovern N, Irac S . Mapping the human DC lineage through the integration of high-dimensional techniques. Science. 2017; 356(6342). PMC: 7611082. DOI: 10.1126/science.aag3009. View

19.

Chauvel C, Novoloaca A, Veyre P, Reynier F, Becker J . Evaluation of integrative clustering methods for the analysis of multi-omics data. Brief Bioinform. 2019; 21(2):541-552. DOI: 10.1093/bib/bbz015. View

20.

Bendall S, Davis K, Amir E, Tadmor M, Simonds E, Chen T . Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development. Cell. 2014; 157(3):714-25. PMC: 4045247. DOI: 10.1016/j.cell.2014.04.005. View