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Trends in Immunology
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Trends in Immunology
Article . 2023 . Peer-reviewed
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Hematopoiesis in numbers

Authors: Cosgrove, Jason; Hustin, Lucie; de Boer, Rob; Perié, Leïla;

Hematopoiesis in numbers

Abstract

Hematopoiesis is a dynamic process in which stem and progenitor cells give rise to the ~1013 blood and immune cells distributed throughout the human body. We argue that a quantitative description of hematopoiesis can help consolidate existing data, identify knowledge gaps, and generate new hypotheses. Here, we review known numbers in murine and, where possible, human hematopoiesis, and consolidate murine numbers into a set of reference values. We present estimates of cell numbers, division and differentiation rates, cell size, and macromolecular composition for each hematopoietic cell type. We also propose guidelines to improve the reporting of measurements and highlight areas in which quantitative data are lacking. Overall, we show how quantitative approaches can be used to understand key properties of hematopoiesis.

Keywords

Mice, [SDV.IMM] Life Sciences [q-bio]/Immunology, Taverne, Animals, Humans, Cell Count, Cell Differentiation, Hematopoietic Stem Cells, Hematopoiesis

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 1%
Top 10%
Top 1%
Green