Immune Cell Dynamics Unfolded by Single-Cell Technologies

The single-cell revolution is paving the way towards the molecular characterisation of every cell type in the human body, revealing relationships between cell types and states at high resolution. Changes in cellular phenotypes are particularly prevalent in the immune system and can be observed in it...

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Main Authors: Daniel J. Kunz, Tomás Gomes, Kylie R. James
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-06-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2018.01435/full
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spelling doaj-c3fb0b1225ef476c9b3f18a4135bec6c2020-11-24T22:22:52ZengFrontiers Media S.A.Frontiers in Immunology1664-32242018-06-01910.3389/fimmu.2018.01435379523Immune Cell Dynamics Unfolded by Single-Cell TechnologiesDaniel J. Kunz0Daniel J. Kunz1Daniel J. Kunz2Tomás Gomes3Kylie R. James4Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United KingdomThe Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, United KingdomWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United KingdomWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United KingdomWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United KingdomThe single-cell revolution is paving the way towards the molecular characterisation of every cell type in the human body, revealing relationships between cell types and states at high resolution. Changes in cellular phenotypes are particularly prevalent in the immune system and can be observed in its continuous remodelling up to adulthood, response to disease and development of immunological memory. In this review, we delve into the world of cellular dynamics of the immune system. We discuss current single-cell experimental and computational approaches in this area, giving insights into plasticity and commitment of cell fates. Finally, we provide an outlook on upcoming technological developments and predict how these will improve our understanding of the immune system.https://www.frontiersin.org/article/10.3389/fimmu.2018.01435/fullsingle-cellscRNA-seqFACStrajectory inferencelineage reconstructioncell differentiation
collection DOAJ
language English
format Article
sources DOAJ
author Daniel J. Kunz
Daniel J. Kunz
Daniel J. Kunz
Tomás Gomes
Kylie R. James
spellingShingle Daniel J. Kunz
Daniel J. Kunz
Daniel J. Kunz
Tomás Gomes
Kylie R. James
Immune Cell Dynamics Unfolded by Single-Cell Technologies
Frontiers in Immunology
single-cell
scRNA-seq
FACS
trajectory inference
lineage reconstruction
cell differentiation
author_facet Daniel J. Kunz
Daniel J. Kunz
Daniel J. Kunz
Tomás Gomes
Kylie R. James
author_sort Daniel J. Kunz
title Immune Cell Dynamics Unfolded by Single-Cell Technologies
title_short Immune Cell Dynamics Unfolded by Single-Cell Technologies
title_full Immune Cell Dynamics Unfolded by Single-Cell Technologies
title_fullStr Immune Cell Dynamics Unfolded by Single-Cell Technologies
title_full_unstemmed Immune Cell Dynamics Unfolded by Single-Cell Technologies
title_sort immune cell dynamics unfolded by single-cell technologies
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2018-06-01
description The single-cell revolution is paving the way towards the molecular characterisation of every cell type in the human body, revealing relationships between cell types and states at high resolution. Changes in cellular phenotypes are particularly prevalent in the immune system and can be observed in its continuous remodelling up to adulthood, response to disease and development of immunological memory. In this review, we delve into the world of cellular dynamics of the immune system. We discuss current single-cell experimental and computational approaches in this area, giving insights into plasticity and commitment of cell fates. Finally, we provide an outlook on upcoming technological developments and predict how these will improve our understanding of the immune system.
topic single-cell
scRNA-seq
FACS
trajectory inference
lineage reconstruction
cell differentiation
url https://www.frontiersin.org/article/10.3389/fimmu.2018.01435/full
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