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Digital Quantification of Epidermal Protein Expression in Paraffin-Embedded Tissue Using Immunohistochemistry.
Methods Mol Biol. 2020; 2109:75-82.MM

Abstract

Current methods of assessing immunohistochemistry center on semiquantitative visual grading scales. More objective methods utilizing digital quantification offer superior precision and, presumably, higher confidence with image comparison. However, their cost often remains prohibitive, and there is little customizability to separate subsections of interest in the tissue. Here we describe a method using two open-source software programs to analyze the intensity and density of signals in immunohistochemistry-stained tissue sections that account for tissue heterogeneity and allow for direct comparison between two samples. This method allows for quantitative assessment of epidermal protein expression. We herein demonstrate this workflow using an epidermal stain tothymic stromal lymphopoietin.

Authors+Show Affiliations

Department of Dermatology, University of California Irvine, Irvine, CA, USA.Department of Dermatology, University of Illinois at Chicago, Chicago, IL, USA.Department of Dermatology, University of Illinois at Chicago, Chicago, IL, USA.Department of Dermatology, University of California Irvine, Irvine, CA, USA.Department of Pathology, University of California Irvine, Irvine, CA, USA.Department of Dermatology, University of Illinois at Chicago, Chicago, IL, USA. ktamber@uic.edu.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

31190272

Citation

Valdebran, Manuel, et al. "Digital Quantification of Epidermal Protein Expression in Paraffin-Embedded Tissue Using Immunohistochemistry." Methods in Molecular Biology (Clifton, N.J.), vol. 2109, 2020, pp. 75-82.
Valdebran M, Kowalski EH, Kneiber D, et al. Digital Quantification of Epidermal Protein Expression in Paraffin-Embedded Tissue Using Immunohistochemistry. Methods Mol Biol. 2020;2109:75-82.
Valdebran, M., Kowalski, E. H., Kneiber, D., Li, J., Kim, J., & Amber, K. T. (2020). Digital Quantification of Epidermal Protein Expression in Paraffin-Embedded Tissue Using Immunohistochemistry. Methods in Molecular Biology (Clifton, N.J.), 2109, 75-82. https://doi.org/10.1007/7651_2019_244
Valdebran M, et al. Digital Quantification of Epidermal Protein Expression in Paraffin-Embedded Tissue Using Immunohistochemistry. Methods Mol Biol. 2020;2109:75-82. PubMed PMID: 31190272.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Digital Quantification of Epidermal Protein Expression in Paraffin-Embedded Tissue Using Immunohistochemistry. AU - Valdebran,Manuel, AU - Kowalski,Eric H, AU - Kneiber,Diana, AU - Li,Jing, AU - Kim,Jeffrey, AU - Amber,Kyle T, PY - 2019/6/14/pubmed PY - 2019/6/14/medline PY - 2019/6/14/entrez KW - Colorimetric analysis KW - Epidermis KW - GIMP KW - ImageJ KW - Protein expression KW - Quantitative immunohistochemistry SP - 75 EP - 82 JF - Methods in molecular biology (Clifton, N.J.) JO - Methods Mol. Biol. VL - 2109 N2 - Current methods of assessing immunohistochemistry center on semiquantitative visual grading scales. More objective methods utilizing digital quantification offer superior precision and, presumably, higher confidence with image comparison. However, their cost often remains prohibitive, and there is little customizability to separate subsections of interest in the tissue. Here we describe a method using two open-source software programs to analyze the intensity and density of signals in immunohistochemistry-stained tissue sections that account for tissue heterogeneity and allow for direct comparison between two samples. This method allows for quantitative assessment of epidermal protein expression. We herein demonstrate this workflow using an epidermal stain tothymic stromal lymphopoietin. SN - 1940-6029 UR - https://www.unboundmedicine.com/medline/citation/31190272/Digital_Quantification_of_Epidermal_Protein_Expression_in_Paraffin-Embedded_Tissue_Using_Immunohistochemistry L2 - https://dx.doi.org/10.1007/7651_2019_244 DB - PRIME DP - Unbound Medicine ER -
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