Single-cell analysis to understand the diversity of immune cell types that drive disease pathogenesis
Single-cell analysis to understand the diversity of immune cell types that drive disease pathogenesis
Single-cell next-generation sequencing assays are powerful tools to understand the nature of the immune cells that drive disease pathogenesis. In this brief review we explain the value of performing assays at single-cell resolution to better understand the pathogenesis of allergy, asthma, and other lung diseases. We explain the challenges in performing single-cell studies of airways and lung samples from patients with lung diseases. A major limitation comes from the amount of diseased tissue that can be used for research purposes. Finally, we discuss which sequencing strategies can be used to successfully investigate airway and lung diseases at single-cell resolution.
1150-1153
Seumois, Grégory
0be7d3d6-5526-458c-aa5c-cce52410a2ed
Vijayanand, Pandurangan
79514f33-66cf-47cc-a8fa-46bbfc21b7d1
5 November 2019
Seumois, Grégory
0be7d3d6-5526-458c-aa5c-cce52410a2ed
Vijayanand, Pandurangan
79514f33-66cf-47cc-a8fa-46bbfc21b7d1
Seumois, Grégory and Vijayanand, Pandurangan
(2019)
Single-cell analysis to understand the diversity of immune cell types that drive disease pathogenesis.
Journal of Allergy and Clinical Immunology, 144 (5), .
(doi:10.1016/j.jaci.2019.09.014).
Abstract
Single-cell next-generation sequencing assays are powerful tools to understand the nature of the immune cells that drive disease pathogenesis. In this brief review we explain the value of performing assays at single-cell resolution to better understand the pathogenesis of allergy, asthma, and other lung diseases. We explain the challenges in performing single-cell studies of airways and lung samples from patients with lung diseases. A major limitation comes from the amount of diseased tissue that can be used for research purposes. Finally, we discuss which sequencing strategies can be used to successfully investigate airway and lung diseases at single-cell resolution.
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JACI-GSeumois_PVijayanand_Review_cleanedversion_22SEP19
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Accepted/In Press date: 25 September 2019
Published date: 5 November 2019
Identifiers
Local EPrints ID: 436201
URI: http://eprints.soton.ac.uk/id/eprint/436201
ISSN: 0091-6749
PURE UUID: 61820d63-e7d0-45c6-90c8-ca1babb34800
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Date deposited: 03 Dec 2019 17:30
Last modified: 17 Mar 2024 05:05
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Author:
Grégory Seumois
Author:
Pandurangan Vijayanand
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