Literature DB >> 32250555

Training Novices in Generation and Analysis of High-Dimensional Human Cell Phospho-Flow Cytometry Data.

Caroline E Roe1,2, Madeline J Hayes1,2, Sierra M Barone1,2, Jonathan M Irish1,2.   

Abstract

This article presents a single experiment designed to introduce a trainee to multiple advanced bench and analysis techniques, including high-dimensional cytometry, profiling cell signaling networks, functional assays with primary human tissue, and single-cell analysis with machine learning tools. The trainee is expected to have only minimal laboratory experience and is not required to have any prior training in flow cytometry, immunology, or data science. This article aims to introduce the advanced research areas with a design that is robust enough that novice trainees will succeed, flexible enough to allow some project customization, and fundamental enough that the skills and knowledge gained will provide a template for future experiments. For advanced users, the updated phospho-flow protocol and the established controls, best practices, and expected outcomes presented here also provide a framework for adapting these tools in new areas with unexplored biology.
© 2020 by John Wiley & Sons, Inc. Basic Protocol: Phospho-protein stimulation and mass cytometry data collection Support Protocol: Analysis of signaling mass cytometry data. © 2020 John Wiley & Sons, Inc.

Entities:  

Keywords:  mass cytometry; phospho-flow; signaling; training

Mesh:

Year:  2020        PMID: 32250555      PMCID: PMC7682619          DOI: 10.1002/cpcy.71

Source DB:  PubMed          Journal:  Curr Protoc Cytom        ISSN: 1934-9297


  44 in total

1.  Intracellular phospho-protein staining techniques for flow cytometry: monitoring single cell signaling events.

Authors:  Peter O Krutzik; Garry P Nolan
Journal:  Cytometry A       Date:  2003-10       Impact factor: 4.355

2.  Kinetics of B cell receptor signaling in human B cell subsets mapped by phosphospecific flow cytometry.

Authors:  Jonathan M Irish; Debra K Czerwinski; Garry P Nolan; Ronald Levy
Journal:  J Immunol       Date:  2006-08-01       Impact factor: 5.422

3.  Cutting Edge: Redox Signaling Hypersensitivity Distinguishes Human Germinal Center B Cells.

Authors:  Kanutte Huse; Jonathan M Irish; Hannah G Polikowsky; Cara E Wogsland; Kirsten E Diggins
Journal:  J Immunol       Date:  2015-07-08       Impact factor: 5.422

4.  Dimensionality reduction for visualizing single-cell data using UMAP.

Authors:  Etienne Becht; Leland McInnes; John Healy; Charles-Antoine Dutertre; Immanuel W H Kwok; Lai Guan Ng; Florent Ginhoux; Evan W Newell
Journal:  Nat Biotechnol       Date:  2018-12-03       Impact factor: 54.908

5.  Single-cell systems-level analysis of human Toll-like receptor activation defines a chemokine signature in patients with systemic lupus erythematosus.

Authors:  William E O'Gorman; Elena W Y Hsieh; Erica S Savig; Pier Federico Gherardini; Joseph D Hernandez; Leo Hansmann; Imelda M Balboni; Paul J Utz; Sean C Bendall; Wendy J Fantl; David B Lewis; Garry P Nolan; Mark M Davis
Journal:  J Allergy Clin Immunol       Date:  2015-05-30       Impact factor: 10.793

6.  B-cell signaling networks reveal a negative prognostic human lymphoma cell subset that emerges during tumor progression.

Authors:  Jonathan M Irish; June H Myklebust; Ash A Alizadeh; Roch Houot; Jeff P Sharman; Debra K Czerwinski; Garry P Nolan; Ronald Levy
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-11       Impact factor: 11.205

7.  Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse.

Authors:  Zinaida Good; Jolanda Sarno; Astraea Jager; Nikolay Samusik; Nima Aghaeepour; Erin F Simonds; Leah White; Norman J Lacayo; Wendy J Fantl; Grazia Fazio; Giuseppe Gaipa; Andrea Biondi; Robert Tibshirani; Sean C Bendall; Garry P Nolan; Kara L Davis
Journal:  Nat Med       Date:  2018-03-05       Impact factor: 53.440

8.  Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

Authors:  Jacob H Levine; Erin F Simonds; Sean C Bendall; Kara L Davis; El-ad D Amir; Michelle D Tadmor; Oren Litvin; Harris G Fienberg; Astraea Jager; Eli R Zunder; Rachel Finck; Amanda L Gedman; Ina Radtke; James R Downing; Dana Pe'er; Garry P Nolan
Journal:  Cell       Date:  2015-06-18       Impact factor: 41.582

9.  Generating Quantitative Cell Identity Labels with Marker Enrichment Modeling (MEM).

Authors:  Kirsten E Diggins; Jocelyn S Gandelman; Caroline E Roe; Jonathan M Irish
Journal:  Curr Protoc Cytom       Date:  2018-01-18

10.  CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets.

Authors:  Malgorzata Nowicka; Carsten Krieg; Lukas M Weber; Felix J Hartmann; Silvia Guglietta; Burkhard Becher; Mitchell P Levesque; Mark D Robinson
Journal:  F1000Res       Date:  2017-05-26
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  1 in total

1.  Single-cell profiling of the antigen-specific response to BNT162b2 SARS-CoV-2 RNA vaccine.

Authors:  Kevin J Kramer; Erin M Wilfong; Kelsey Voss; Sierra M Barone; Andrea R Shiakolas; Nagarajan Raju; Caroline E Roe; Naveenchandra Suryadevara; Lauren M Walker; Steven C Wall; Ariana Paulo; Samuel Schaefer; Debolanle Dahunsi; Camille S Westlake; James E Crowe; Robert H Carnahan; Jeffrey C Rathmell; Rachel H Bonami; Ivelin S Georgiev; Jonathan M Irish
Journal:  Nat Commun       Date:  2022-06-16       Impact factor: 17.694

  1 in total

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