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Imaging and spatial analysis of hematopoietic stem cell niches

Gomariz, Alvaro; Isringhausen, Stephan; Helbling, Patrick M; Nombela-Arrieta, César (2020). Imaging and spatial analysis of hematopoietic stem cell niches. Annals of the New York Academy of Sciences, 1466(1):5-16.

Abstract

Hematopoietic stem cells (HSCs) have been long proposed to reside in defined anatomical locations within bone marrow (BM) tissues in direct contact or close proximity to nurturing cell types. Imaging techniques that allow the simultaneous mapping of HSCs and interacting cell types have been central to the discovery of basic principles of these so-called HSC niches. Despite major progress in the field, a quantitative and comprehensive model of the cellular and molecular components that define these specialized microenvironments is lacking to date, and uncertainties remain on the preferential localization of HSCs in the context of complex BM tissue landscapes. Recent technological breakthroughs currently allow for the quantitative spatial analysis of BM cellular components with extraordinary precision. Here, we critically discuss essential technical aspects related to imaging approaches, image processing tools, and spatial statistics, which constitute the three basic elements of rigorous quantitative spatial analyses of HSC niches in the BM microenvironment.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Oncology and Hematology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Life Sciences > General Neuroscience
Life Sciences > General Biochemistry, Genetics and Molecular Biology
Social Sciences & Humanities > History and Philosophy of Science
Language:English
Date:1 April 2020
Deposited On:10 Oct 2019 14:25
Last Modified:21 Dec 2024 02:39
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0077-8923
OA Status:Closed
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1111/nyas.14184
PubMed ID:31368140

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