Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Selection Strategies for Tissue-Specific Antibody Identification Using Phage Display and Naïve Libraries

Version 1 : Received: 28 October 2020 / Approved: 29 October 2020 / Online: 29 October 2020 (10:25:14 CET)

A peer-reviewed article of this Preprint also exists.

Mairaville, C.; Martineau, P. Antibody Identification for Antigen Detection in Formalin-Fixed Paraffin-Embedded Tissue Using Phage Display and Naïve Libraries. Antibodies 2021, 10, 4. Mairaville, C.; Martineau, P. Antibody Identification for Antigen Detection in Formalin-Fixed Paraffin-Embedded Tissue Using Phage Display and Naïve Libraries. Antibodies 2021, 10, 4.

Abstract

Immunohistochemistry is a widely used technique for research and diagnostic purposes that relies on the recognition by antibodies of antigens expressed in tissues. However, tissue processing and particularly formalin fixation affect the conformation of these antigens through the formation of methylene bridges. Although antigen retrieval techniques can partially restore antigen immunoreactivity, it is difficult to identify antibodies that can recognize their target especially in formalin-fixed paraffin-embedded tissues. Most of the antibodies currently used in immunohistochemistry have been obtained by animal immunization; however, in vitro display techniques represent alternative strategies that have not been fully explored yet. This review provides an overview of phage display-based antibody selections using naïve antibody libraries on various supports (fixed cells, dissociated tissues, tissue fragments, and tissue sections) that have led to the identification of antibodies suitable for immunohistochemistry.

Keywords

immunohistochemistry; phage display; monoclonal antibody

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.