Semi-quantitative Determination of Protein Expression using Immunohistochemistry Staining and Analysis: An Integrated Protocol.

Autor: Crowe AR; Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA., Yue W; Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
Jazyk: angličtina
Zdroj: Bio-protocol [Bio Protoc] 2019 Dec 20; Vol. 9 (24).
DOI: 10.21769/BioProtoc.3465
Abstrakt: Semi-quantitative IHC is a powerful method for investigating protein expression and localization within tissues. The semi-quantitative immunohistochemistry (IHC) involves using software such as free software ImageJ Fiji to conduct deconvolution and downstream analysis. Currently, there is lack of an integrated protocol that includes a detailed procedure of how to measure or compare protein expression. Publications that use semi-quantification methods to quantify protein expression often don't provide enough details in their methods section, which makes it difficult for the reader to reproduce their data. The current protocol for the first time provides a detailed, step-by-step instruction of conducting semi-quantitative analysis of IHC images using ImageJ Fiji software so that researchers would be able to follow this single protocol to conduct their research. The protocol uses semi-quantitative IHC of organic anion transporting polypeptide (OATP1B1) as an example, and gives detailed steps on how to deconvolute IHC images stained with hematoxylin and 3, 3 - diaminobenzidine (DAB) and how to quantify their expression using ImageJ Fiji. The protocol includes clear steps for a reader so that this method can be applied to many different proteins. We anticipate this method will provide a practical guidance to the reader and make semi-quantification of proteins an easier task to include in publications.
Competing Interests: Competing interests No competing financial interests for this study.
Databáze: MEDLINE