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Cited by 673

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The Demonstration of Pneumococcal Antigen in Tissues by the Use of Fluorescent Antibody

Coons, Albert H, Creech, Hugh J, Jones, R Norman, Berliner, Ernst·1942·The Journal of Immunology

Abstract

The object of this investigation has been to determine the feasibility of using chemically labelled antibodies as reagents for the detection and orientation of antigenic material in mammalian tissue. Such a method requires the retention of specificity by the antibody-molecule during and after the necessary chemical manipulation, a stable chemical linkage between the antibody and its label, and a label that can be detected when present in minute quantities. A further important requirement demands the separation of the labelled-antibody solution from unconjugated tracer-material. In addition a method of this sort would obviously be more useful for many studies if it were possible to determine not only those organs, but those cells which contain the antigen in question. Accordingly we investigated the possibility of employing materials for labelling that could be detected by optical rather than by analytic or radiographic methods.

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Crossref · 10.4049/jimmunol.45.3.159

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Metadata

Authors
Coons, A. H., Creech, H. J., Jones, R. N., & Berliner, E.
Venue
The Journal of Immunology
Published
1942-11-01
Volume
45
Issue
3
Pages
159-170
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W4313386949
Cited by
673
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Demonstration of Pneumococcal Antigen in Tissues by the Use of Fluorescent Antibody. https://app.cochat.ai/papers/10.4049/jimmunol.45.3.159
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Coons, A. H., Creech, H. J., Jones, R. N., & Berliner, E. (1942). The Demonstration of Pneumococcal Antigen in Tissues by the Use of Fluorescent Antibody. The Journal of Immunology. https://doi.org/10.4049/jimmunol.45.3.159

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.