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Cited by 1,170

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Chemotaxis Under Agarose: A New and Simple Method for Measuring Chemotaxis and Spontaneous Migration of Human Polymorphonuclear Leukocytes and Monocytes

Nelson, Robert D, Quie, Paul G, Simmons, Richard L·1975·The Journal of Immunology

Abstract

A variety of methods have been devised for the study of spontaneous and directed cell migration. Among these, the membrane filter method introduced by Boyden in 1962, with its more recent modifications, has become the technique of choice for studies of leukocyte migration in vitro. This method, however, cannot be applied without alteration to studies of chemotaxis and spontaneous migration of cells of different types. We describe in this report a new and simple method for studying human leukocyte chemotaxis, in vitro, which is based upon migration of cells under agarose gel. This method has application to both polymorphonuclear leukocytes and monocytes, permits measurement of both chemotaxis and spontaneous migration, requires fewer cells per test, and is rapid, simple, reproducible, and inexpensive to set up.

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Metadata

Authors
Nelson, R. D., Quie, P. G., & Simmons, R. L.
Venue
The Journal of Immunology
Published
1975-12-01
Volume
115
Issue
6
Pages
1650-1656
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W1819732475
Cited by
1,170
References
0
FWCI
15.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chemotaxis Under Agarose: A New and Simple Method for Measuring Chemotaxis and Spontaneous Migration of Human Polymorphonuclear Leukocytes and Monocytes. https://app.cochat.ai/papers/10.4049/jimmunol.115.6.1650
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Nelson, R. D., Quie, P. G., & Simmons, R. L. (1975). Chemotaxis Under Agarose: A New and Simple Method for Measuring Chemotaxis and Spontaneous Migration of Human Polymorphonuclear Leukocytes and Monocytes. The Journal of Immunology. https://doi.org/10.4049/jimmunol.115.6.1650

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.