Development of a 43 color panel for the characterization of conventional and unconventional T‐cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry-Reference-Cited by-同舟云学术

Development of a 43 color panel for the characterization of conventional and unconventional T‐cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry

Published:2020-12-18 Issue: Volume: Page:
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Sahir Fairooz¹,Mateo Jericha Miles¹,Steinhoff Martin²³⁴⁵⁶,Siveen Kodappully Sivaraman¹^ORCID

Affiliation:

1. Flow Cytometry Core Facility Translational Research Institute, Academic Health System, Hamad Medical Corporation Doha Qatar

2. Department of Dermatology and Venereology Hamad Medical Corporation Doha Qatar

3. Dermatology Institute Hamad Medical Corporation Doha Qatar

4. Translational Research Institute Academic Health System, Hamad Medical Corporation Doha Qatar

5. Department of Dermatology Weill Cornell Medicine‐Qatar Doha Qatar

6. Qatar University, Medical School Doha Qatar

Funder

Hamad Medical Corporation

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24288

Reference18 articles.

1. Systems-Level Immunomonitoring from Acute to Recovery Phase of Severe COVID-19

2. OMIP‐069 : Forty‐Color Full Spectrum Flow Cytometry Panel for Deep Immunophenotyping of Major Cell Subsets in Human Peripheral Blood

3. flowAI: automatic and interactive anomaly discerning tools for flow cytometry data

4. UMAP: uniform manifold approximation and projection for dimension reduction;McInnes L;arXiv,2018

5. Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

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