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Cited by 1,294

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

"Panning" for lymphocytes: a method for cell selection.

Open access
Wysocki, L J, Sato, V L·1978·Proceedings of the National Academy of Sciences

Abstract

We have developed a simple method for the fractionation of T and B lymphocytes. Plastic dishes coated with antibodies specific for mouse Ig selectively bind splenic B lymphocytes. The adherent cells are easily removed by gentle pipetting; both adherent and nonadherent populations retain immunologic function. In a typical experiment, when 3 X 10(7) splenic lymphocytes were added to a 100 X 15 mm plastic dish coated with microgram quantities of anti-Ig, 98 % of the nonadherent cells were Ig negative and 97% of the adherent cells were Ig positive. The method is sufficiently sensitive to allow detection and separation of cell types comprising as little as 2% of the total population and can be modified to allow the selection of cells by a double-antibody procedure. We believe that the plastic dish method will be generally useful for fractionating cells on the basis of their cell surface antigens.

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Crossref · 10.1073/pnas.75.6.2844

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Metadata

Authors
Wysocki, L. J., & Sato, V. L.
Venue
Proceedings of the National Academy of Sciences
Published
1978-06
Volume
75
Issue
6
Pages
2844-2848
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2074614649
Cited by
1,294
References
1
FWCI
11.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: "Panning" for lymphocytes: a method for cell selection. https://app.cochat.ai/papers/10.1073/pnas.75.6.2844
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Wysocki, L. J., & Sato, V. L. (1978). "Panning" for lymphocytes: a method for cell selection. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.75.6.2844

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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.