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Article ; Online: A Novel Anti-TRPV6 Antibody and Its Application in Cancer Diagnosis In Vitro

Aurélien Haustrate / Adriana Mihalache / Clément Cordier / Pierre Gosset / Natalia Prevarskaya / V’yacheslav Lehen’kyi

International Journal of Molecular Sciences, Vol 24, Iss 1, p

2022  Volume 419

Abstract: Though the first discovery of TRPV6 channel expression in various tissues took place in the early 2000s, reliable tools for its protein detection in various cells and tissues are still missing. Here we show the generation and validation of rabbit ... ...

Abstract Though the first discovery of TRPV6 channel expression in various tissues took place in the early 2000s, reliable tools for its protein detection in various cells and tissues are still missing. Here we show the generation and validation of rabbit polyclonal anti-TRPV6 channel antibodies (rb79–82) against four epitopes of 15 amino acids. Among them, only one antibody, rb79, was capable of detecting the full-length glycosylated form of the TRPV6 channel at around 100 kDa. The generated antibody was shown to be suitable for all in vitro applications, such as immunoblotting, immunoprecipitation, immunocytochemistry, immunofluorescence, etc. One of the most important applications is immunohistochemistry using the paraffin-embedded sections from cancer resection specimens. Using prostate cancer resection specimens, we have confirmed the absence of the TRPV6 protein in both healthy and benign hyperplasia, as well as its expression and correlation to the prostate cancer grades. Thus, the generated rabbit polyclonal anti-TRPV6 channel antibody rb79 is suitable for all in vitro diagnostic applications and particularly for the diagnosis in clinics using paraffin-embedded sections from patients suffering from various diseases and disorders involving the TRPV6 channel.
Keywords antibody ; TRPV6 channel ; diagnostic ; immunoblotting ; immunohistochemistry ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code 570
Language English
Publishing date 2022-12-01T00:00:00Z
Publisher MDPI AG
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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