Literature DB >> 30699035

High-Parameter Single-Cell Analysis.

Pratip K Chattopadhyay1, Aidan F Winters1, Woodrow E Lomas1, Andressa S Laino1, David M Woods1.   

Abstract

Thousands of transcripts and proteins confer function and discriminate cell types in the body. Using high-parameter technologies, we can now measure many of these markers at once, and multiple platforms are now capable of analysis on a cell-by-cell basis. Three high-parameter single-cell technologies have particular potential for discovering new biomarkers, revealing disease mechanisms, and increasing our fundamental understanding of cell biology. We review these three platforms (high-parameter flow cytometry, mass cytometry, and a new class of technologies called integrated molecular cytometry platforms) in this article. We describe the underlying hardware and instrumentation, the reagents involved, and the limitations and advantages of each platform. We also highlight the emerging field of high-parameter single-cell data analysis, providing an accessible overview of the data analysis process and choice of tools.

Keywords:  CyTOF; flow cytometry; high-parameter; molecular cytometry; single-cell

Mesh:

Year:  2019        PMID: 30699035     DOI: 10.1146/annurev-anchem-061417-125927

Source DB:  PubMed          Journal:  Annu Rev Anal Chem (Palo Alto Calif)        ISSN: 1936-1327            Impact factor:   10.745


  8 in total

1.  Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

Authors:  Anthony Culos; Amy S Tsai; Natalie Stanley; Martin Becker; Mohammad S Ghaemi; David R McIlwain; Ramin Fallahzadeh; Athena Tanada; Huda Nassar; Camilo Espinosa; Maria Xenochristou; Edward Ganio; Laura Peterson; Xiaoyuan Han; Ina A Stelzer; Kazuo Ando; Dyani Gaudilliere; Thanaphong Phongpreecha; Ivana Marić; Alan L Chang; Gary M Shaw; David K Stevenson; Sean Bendall; Kara L Davis; Wendy Fantl; Garry P Nolan; Trevor Hastie; Robert Tibshirani; Martin S Angst; Brice Gaudilliere; Nima Aghaeepour
Journal:  Nat Mach Intell       Date:  2020-10-12

2.  Identification of Pathogenic Immune Cell Subsets Associated With Checkpoint Inhibitor-Induced Myocarditis.

Authors:  Han Zhu; Francisco X Galdos; Daniel Lee; Sarah Waliany; Yuhsin Vivian Huang; Julia Ryan; Katherine Dang; Joel W Neal; Heather A Wakelee; Sunil A Reddy; Sandy Srinivas; Lih-Ling Lin; Ronald M Witteles; Holden T Maecker; Mark M Davis; Patricia K Nguyen; Sean M Wu
Journal:  Circulation       Date:  2022-06-28       Impact factor: 39.918

3.  Flow Cytometry Analysis of Mycobacteria and Mycobacteria-Infected Immune Cells.

Authors:  Sydney L Solomon; Bryan D Bryson
Journal:  Methods Mol Biol       Date:  2021

4.  A Burned-Out CD8+ T-cell Subset Expands in the Tumor Microenvironment and Curbs Cancer Immunotherapy.

Authors:  Miguel F Sanmamed; Xinxin Nie; Shruti S Desai; Franz Villaroel-Espindola; Kurt A Schalper; Lieping Chen; Ti Badri; Dejian Zhao; Anthony W Kim; Lan Ji; Tianxiang Zhang; Edward Quinlan; Xiaoxiao Cheng; Xue Han; Matthew D Vesely; Ala F Nassar; Jingwei Sun; Yu Zhang; Tae Kon Kim; Jun Wang; Ignacio Melero; Roy S Herbst
Journal:  Cancer Discov       Date:  2021-03-03       Impact factor: 38.272

5.  CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data.

Authors:  Yuting Dai; Aining Xu; Jianfeng Li; Liang Wu; Shanhe Yu; Jun Chen; Weili Zhao; Xiao-Jian Sun; Jinyan Huang
Journal:  BMC Bioinformatics       Date:  2021-03-22       Impact factor: 3.169

Review 6.  Advances in application of single-cell RNA sequencing in cardiovascular research.

Authors:  Yue Hu; Ying Zhang; Yutong Liu; Yan Gao; Tiantian San; Xiaoying Li; Sensen Song; Binglong Yan; Zhuo Zhao
Journal:  Front Cardiovasc Med       Date:  2022-07-26

Review 7.  Single-Cell Approaches to Profile the Response to Immune Checkpoint Inhibitors.

Authors:  Lara Gibellini; Sara De Biasi; Camillo Porta; Domenico Lo Tartaro; Roberta Depenni; Giovanni Pellacani; Roberto Sabbatini; Andrea Cossarizza
Journal:  Front Immunol       Date:  2020-03-20       Impact factor: 7.561

8.  Rainbow Kaposi's Sarcoma-Associated Herpesvirus Revealed Heterogenic Replication with Dynamic Gene Expression.

Authors:  Ken-Ichi Nakajima; Sara Guevara-Plunkett; Frank Chuang; Kang-Hsin Wang; Yuanzhi Lyu; Ashish Kumar; Guillaume Luxardi; Chie Izumiya; Athena Soulika; Mel Campbell; Yoshihiro Izumiya
Journal:  J Virol       Date:  2020-03-31       Impact factor: 5.103

  8 in total

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