Literature DB >> 31077106

Analysis of the Murine Bone Marrow Hematopoietic System Using Mass and Flow Cytometry.

Thomas M Ashhurst1,2,3,4, Darren A Cox2,4, Adrian L Smith5,3, Nicholas J C King6,7,8,9,10.   

Abstract

The hematopoietic system produces erythrocytes (red blood cells), leukocytes (white blood cells), and thrombocytes (platelets) throughout the life of an organism. Long-lived hematopoietic stem cells give rise to early progenitors with multi-lineage potential that progressively differentiate into lineage-specific progenitors. Following lineage commitment, these progenitors proliferate and expand, before eventually differentiating into their mature forms. This process drives the up- and downregulation of a wide variety of surface and intracellular markers throughout differentiation, making cytometric analysis of this interconnected system challenging. Moreover, during inflammation, the hematopoietic system can be mobilized to re-prioritize the production of various lineages, in order to match increased demand, often at the expense of other lineages. As such, the response of the hematopoietic system in the bone marrow (BM) is a critical component of both immunity and disease. Because of the complexity of the hematopoietic system in steady state and disease, high-dimensional cytometry technologies are well suited to the exploration of these complex systems. Here we describe a protocol for the extraction of murine bone marrow, and preparation for examination using high-dimensional flow or mass cytometry. Additionally, we describe methods for performing cell cycle assays using bromodeoxyuridine (BrdU) or iododeoxyuridine (IdU). Finally, we describe an analytical method that allows for a system-level analysis of the hematopoietic system in steady state or inflammatory scenarios.

Entities:  

Keywords:  Bone marrow; Cell cycle; CyTOF; Hematopoiesis; High-dimensional cytometry; Mass cytometry

Mesh:

Year:  2019        PMID: 31077106     DOI: 10.1007/978-1-4939-9454-0_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

1.  Inverse relationship between oligoclonal expanded CD69- TTE and CD69+ TTE cells in bone marrow of multiple myeloma patients.

Authors:  Slavica Vuckovic; Christian E Bryant; Ka Hei Aleks Lau; Shihong Yang; James Favaloro; Helen M McGuire; Georgina Clark; Barbara Fazekas de St Groth; Felix Marsh-Wakefield; Najah Nassif; Edward Abadir; Vinay Vanguru; Derek McCulloch; Christina Brown; Stephen Larsen; Scott Dunkley; Liane Khoo; John Gibson; Richard Boyle; Douglas Joshua; P Joy Ho
Journal:  Blood Adv       Date:  2020-10-13

2.  IgG3 + B cells are associated with the development of multiple sclerosis.

Authors:  Felix Marsh-Wakefield; Thomas Ashhurst; Stephanie Trend; Helen M McGuire; Pierre Juillard; Anna Zinger; Anderson P Jones; Allan G Kermode; Simon Hawke; Georges E Grau; Prue H Hart; Scott N Byrne
Journal:  Clin Transl Immunology       Date:  2020-04-29

3.  Mass Cytometry Reveals a Sustained Reduction in CD16+ Natural Killer Cells Following Chemotherapy in Colorectal Cancer Patients.

Authors:  Diana Shinko; Helen M McGuire; Connie I Diakos; Nick Pavlakis; Stephen J Clarke; Scott N Byrne; Kellie A Charles
Journal:  Front Immunol       Date:  2019-11-05       Impact factor: 7.561

Review 4.  Immovable Object Meets Unstoppable Force? Dialogue Between Resident and Peripheral Myeloid Cells in the Inflamed Brain.

Authors:  Alanna G Spiteri; Claire L Wishart; Nicholas J C King
Journal:  Front Immunol       Date:  2020-12-08       Impact factor: 7.561

5.  PLX5622 Reduces Disease Severity in Lethal CNS Infection by Off-Target Inhibition of Peripheral Inflammatory Monocyte Production.

Authors:  Alanna G Spiteri; Duan Ni; Zheng Lung Ling; Laurence Macia; Iain L Campbell; Markus J Hofer; Nicholas J C King
Journal:  Front Immunol       Date:  2022-03-25       Impact factor: 7.561

6.  Development of a Model of the Acute and Delayed Effects of High Dose Radiation Exposure in Jackson Diversity Outbred Mice; Comparison to Inbred C57BL/6 Mice.

Authors:  Andrea M Patterson; P Artur Plett; Hui Lin Chua; Carol H Sampson; Alexa Fisher; Hailin Feng; Joseph L Unthank; Steven J Miller; Barry P Katz; Thomas J MacVittie; Christie M Orschell
Journal:  Health Phys       Date:  2020-11       Impact factor: 2.922

7.  Integrated immune dynamics define correlates of COVID-19 severity and antibody responses.

Authors:  Marios Koutsakos; Louise C Rowntree; Luca Hensen; Brendon Y Chua; Carolien E van de Sandt; Jennifer R Habel; Wuji Zhang; Xiaoxiao Jia; Lukasz Kedzierski; Thomas M Ashhurst; Givanna H Putri; Felix Marsh-Wakefield; Mark N Read; Davis N Edwards; E Bridie Clemens; Chinn Yi Wong; Francesca L Mordant; Jennifer A Juno; Fatima Amanat; Jennifer Audsley; Natasha E Holmes; Claire L Gordon; Olivia C Smibert; Jason A Trubiano; Carly M Hughes; Mike Catton; Justin T Denholm; Steven Y C Tong; Denise L Doolan; Tom C Kotsimbos; David C Jackson; Florian Krammer; Dale I Godfrey; Amy W Chung; Nicholas J C King; Sharon R Lewin; Adam K Wheatley; Stephen J Kent; Kanta Subbarao; James McMahon; Irani Thevarajan; Thi H O Nguyen; Allen C Cheng; Katherine Kedzierska
Journal:  Cell Rep Med       Date:  2021-02-05

Review 8.  Biosafety during a pandemic: shared resource laboratories rise to the challenge.

Authors:  Avrill M Aspland; Iyadh Douagi; Andrew Filby; Evan R Jellison; Lola Martinez; Diana Shinko; Adrian L Smith; Vera A Tang; Sherry Thornton
Journal:  Cytometry A       Date:  2021-01-04       Impact factor: 4.714

9.  High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease.

Authors:  Alanna G Spiteri; Rachel L Terry; Claire L Wishart; Thomas M Ashhurst; Iain L Campbell; Markus J Hofer; Nicholas J C King
Journal:  J Neuroinflammation       Date:  2021-07-26       Impact factor: 8.322

  9 in total

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