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Current Protocols
Article . 2024 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Density Gradient Centrifugation‐Independent Purification of Human Basophils

Authors: Natalie Gray; Daniela Wiebe; Tobias Weihrauch; Ulrike Raap; Maren M. Limberg;

Density Gradient Centrifugation‐Independent Purification of Human Basophils

Abstract

AbstractBasophils represent the rarest type of granulocyte in human peripheral blood. Thus, researching basophils has historically been challenging and has often been reliant on enrichment protocols using density gradient centrifugation. This article describes a novel, fast, and cost‐effective method to purify highly viable human basophils from peripheral blood through negative immunomagnetic selection, foregoing the density centrifugation step in the Basic Protocol. The technique is easy to use and consistently produces purities >96%. Furthermore, the Support Protocols describe procedures to determine basophil yield, purity, and viability, and how to investigate functional activity of the purified basophils through flow cytometry and visualize the basophils through microscopy. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol: Gradient centrifugation‐independent basophil isolationSupport Protocol 1: Flow cytometry staining to assess basophil yield, purity, and viabilitySupport Protocol 2: Giemsa stainingSupport Protocol 3: Calcium flux analysisSupport Protocol 4: Basophil activation test

Keywords

Centrifugation, Density Gradient, Humans, Centrifugation, Cell Separation, Flow Cytometry, Basophils

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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!
1
Average
Average
Average
hybrid