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Literature DB >> 27434000

Mass cytometry: blessed with the curse of dimensionality.

Abstract

Immunologists are being compelled to develop new high-dimensional perspectives of cellular heterogeneity and to determine which applications best exploit the power of mass cytometry and associated multiplex approaches.

Mesh：

Substances：

Year: 2016 PMID： 27434000 DOI： 10.1038/ni.3485

Source DB: PubMed Journal: Nat Immunol ISSN： 1529-2908 Impact factor: 25.606

23 in total

1. A global geometric framework for nonlinear dimensionality reduction.

Authors: J B Tenenbaum; V de Silva; J C Langford
Journal: Science Date: 2000-12-22 Impact factor: 47.728

2. New insights into the multidimensional concept of macrophage ontogeny, activation and function.

Authors: Florent Ginhoux; Joachim L Schultze; Peter J Murray; Jordi Ochando; Subhra K Biswas
Journal: Nat Immunol Date: 2016-01 Impact factor: 25.606

3. Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.

Authors: Kirsten E Diggins; P Brent Ferrell; Jonathan M Irish
Journal: Methods Date: 2015-05-13 Impact factor: 3.608

4. Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes.

Authors: Evan W Newell; Natalia Sigal; Sean C Bendall; Garry P Nolan; Mark M Davis
Journal: Immunity Date: 2012-01-27 Impact factor: 31.745

Review 5. Single-cell technologies for monitoring immune systems.

Authors: Pratip K Chattopadhyay; Todd M Gierahn; Mario Roederer; J Christopher Love
Journal: Nat Immunol Date: 2014-02 Impact factor: 25.606

6. Combinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization.

Authors: Evan W Newell; Natalia Sigal; Nitya Nair; Brian A Kidd; Harry B Greenberg; Mark M Davis
Journal: Nat Biotechnol Date: 2013-06-09 Impact factor: 54.908

7. Categorical Analysis of Human T Cell Heterogeneity with One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding.

Authors: Yang Cheng; Michael T Wong; Laurens van der Maaten; Evan W Newell
Journal: J Immunol Date: 2015-12-14 Impact factor: 5.422

8. High-dimensional analysis of the murine myeloid cell system.

Authors: Burkhard Becher; Andreas Schlitzer; Jinmiao Chen; Florian Mair; Hermi R Sumatoh; Karen Wei Weng Teng; Donovan Low; Christiane Ruedl; Paola Riccardi-Castagnoli; Michael Poidinger; Melanie Greter; Florent Ginhoux; Evan W Newell
Journal: Nat Immunol Date: 2014-10-12 Impact factor: 25.606

Review 9. Beyond model antigens: high-dimensional methods for the analysis of antigen-specific T cells.

Authors: Evan W Newell; Mark M Davis
Journal: Nat Biotechnol Date: 2014-01-19 Impact factor: 54.908

10. Critical assessment of automated flow cytometry data analysis techniques.

Authors: Nima Aghaeepour; Greg Finak; Holger Hoos; Tim R Mosmann; Ryan Brinkman; Raphael Gottardo; Richard H Scheuermann
Journal: Nat Methods Date: 2013-02-10 Impact factor: 28.547

49 in total

1. Systemic Immunologic Consequences of Chronic Periodontitis.

Authors: D K Gaudilliere; A Culos; K Djebali; A S Tsai; E A Ganio; W M Choi; X Han; A Maghaireh; B Choisy; Q Baca; J F Einhaus; J J Hedou; B Bertrand; K Ando; R Fallahzadeh; M S Ghaemi; R Okada; N Stanley; A Tanada; M Tingle; T Alpagot; J A Helms; M S Angst; N Aghaeepour; B Gaudilliere
Journal: J Dent Res Date: 2019-06-21 Impact factor: 6.116

2. Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade.

Authors: Spencer C Wei; Jacob H Levine; Alexandria P Cogdill; Yang Zhao; Nana-Ama A S Anang; Miles C Andrews; Padmanee Sharma; Jing Wang; Jennifer A Wargo; Dana Pe'er; James P Allison
Journal: Cell Date: 2017-08-10 Impact factor: 41.582

Review 3. Recent advances in the use of microfluidic technologies for single cell analysis.

Authors: Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal: Analyst Date: 2017-12-18 Impact factor: 4.616

4. The road ahead: Implementing mass cytometry in clinical studies, one cell at a time.

Authors: Quentin Baca; Antonio Cosma; Garry Nolan; Brice Gaudilliere
Journal: Cytometry B Clin Cytom Date: 2017-01-05 Impact factor: 3.058

Review 5. Dissecting human ILC heterogeneity: more than just three subsets.

Authors: Yannick Simoni; Evan W Newell
Journal: Immunology Date: 2017-12-26 Impact factor: 7.397

6. Mass cytometry analysis of immune cells in the brain.

Authors: Ben Korin; Tania Dubovik; Asya Rolls
Journal: Nat Protoc Date: 2018-01-25 Impact factor: 13.491

7. Preparing Viable Single Cells from Human Tissue and Tumors for Cytomic Analysis.

Authors: Nalin Leelatian; Deon B Doxie; Allison R Greenplate; Justine Sinnaeve; Rebecca A Ihrie; Jonathan M Irish
Journal: Curr Protoc Mol Biol Date: 2017-04-03

Review 8. Understanding Subset Diversity in T Cell Memory.

Authors: Stephen C Jameson; David Masopust
Journal: Immunity Date: 2018-02-20 Impact factor: 31.745

9. 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

10. Supervised Machine Learning with CITRUS for Single Cell Biomarker Discovery.

Authors: Hannah G Polikowsky; Katherine A Drake
Journal: Methods Mol Biol Date: 2019