From the protein to the graph: How to quantify immunohistochemistry staining of the skin using digital imaging
Quantitative immunohistochemistry is needed in order to reliably and accurately assess the expression of cellular proteins in tissue. Skin is a difficult tissue for automated image analysis due to its heterogeneous composition and its architecture. In the present study we used a psoriatic skin model...
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| Veröffentlicht in: | Journal of immunological methods 2008-02, Vol.331 (1), p.140-146 |
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| creator | Kokolakis, Georgios Panagis, Lambros Stathopoulos, Efstathios Giannikaki, Elpida Tosca, Androniki Krüger-Krasagakis, Sabine |
| description | Quantitative immunohistochemistry is needed in order to reliably and accurately assess the expression of cellular proteins in tissue. Skin is a difficult tissue for automated image analysis due to its heterogeneous composition and its architecture. In the present study we used a psoriatic skin model to compare the expression of p53 and bcl-2 before and after treatment with anti-tumor necrosis factor-alpha using digital image analysis. Digital photomicrographs were acquired and analyzed with Scion image software in order to obtain the fraction of p53 and bcl-2 immunoreactive cells' area out of the total area investigated. Statistical analysis with ANOVA revealed a significant increase of p53 expression and a decrease of bcl-2 expression in all 3 epidermal layers during the course of therapy (p
<
0.001). The results were in line with the conventional histopathological evaluation using an arbitrary scale to grade the extent and intensity of the staining. So, the estimation of volume fraction of immunohistochemically labelled cells in skin tissue can be performed easily and rapidly using commonly available image analysis software and provides reproducible and unbiased numerical estimations of the amount of cell labelling. |
| doi_str_mv | 10.1016/j.jim.2007.12.013 |
| format | Article |
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<
0.001). The results were in line with the conventional histopathological evaluation using an arbitrary scale to grade the extent and intensity of the staining. So, the estimation of volume fraction of immunohistochemically labelled cells in skin tissue can be performed easily and rapidly using commonly available image analysis software and provides reproducible and unbiased numerical estimations of the amount of cell labelling.</description><identifier>ISSN: 0022-1759</identifier><identifier>EISSN: 1872-7905</identifier><identifier>DOI: 10.1016/j.jim.2007.12.013</identifier><identifier>PMID: 18234207</identifier><identifier>CODEN: JIMMBG</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Antibodies, Monoclonal - therapeutic use ; Biological and medical sciences ; Digital image analysis ; Fundamental and applied biological sciences. Psychology ; Fundamental immunology ; Humans ; Image Processing, Computer-Assisted ; Immunohistochemistry ; Immunohistochemistry - methods ; Infliximab ; Molecular immunology ; Proteins - analysis ; Proto-Oncogene Proteins c-bcl-2 - analysis ; Psoriasis - drug therapy ; Psoriasis - metabolism ; Psoriasis - pathology ; Quantification ; Skin ; Skin - chemistry ; Skin - pathology ; Techniques ; Tumor Suppressor Protein p53 - analysis</subject><ispartof>Journal of immunological methods, 2008-02, Vol.331 (1), p.140-146</ispartof><rights>2008 Elsevier B.V.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c478t-e4087839e0548196cde1b123c367bd27c63c2cd6137f374cd4a1c5609f03cc283</citedby><cites>FETCH-LOGICAL-c478t-e4087839e0548196cde1b123c367bd27c63c2cd6137f374cd4a1c5609f03cc283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jim.2007.12.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20126207$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18234207$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kokolakis, Georgios</creatorcontrib><creatorcontrib>Panagis, Lambros</creatorcontrib><creatorcontrib>Stathopoulos, Efstathios</creatorcontrib><creatorcontrib>Giannikaki, Elpida</creatorcontrib><creatorcontrib>Tosca, Androniki</creatorcontrib><creatorcontrib>Krüger-Krasagakis, Sabine</creatorcontrib><title>From the protein to the graph: How to quantify immunohistochemistry staining of the skin using digital imaging</title><title>Journal of immunological methods</title><addtitle>J Immunol Methods</addtitle><description>Quantitative immunohistochemistry is needed in order to reliably and accurately assess the expression of cellular proteins in tissue. Skin is a difficult tissue for automated image analysis due to its heterogeneous composition and its architecture. In the present study we used a psoriatic skin model to compare the expression of p53 and bcl-2 before and after treatment with anti-tumor necrosis factor-alpha using digital image analysis. Digital photomicrographs were acquired and analyzed with Scion image software in order to obtain the fraction of p53 and bcl-2 immunoreactive cells' area out of the total area investigated. Statistical analysis with ANOVA revealed a significant increase of p53 expression and a decrease of bcl-2 expression in all 3 epidermal layers during the course of therapy (p
<
0.001). The results were in line with the conventional histopathological evaluation using an arbitrary scale to grade the extent and intensity of the staining. So, the estimation of volume fraction of immunohistochemically labelled cells in skin tissue can be performed easily and rapidly using commonly available image analysis software and provides reproducible and unbiased numerical estimations of the amount of cell labelling.</description><subject>Antibodies, Monoclonal - therapeutic use</subject><subject>Biological and medical sciences</subject><subject>Digital image analysis</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fundamental immunology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Immunohistochemistry</subject><subject>Immunohistochemistry - methods</subject><subject>Infliximab</subject><subject>Molecular immunology</subject><subject>Proteins - analysis</subject><subject>Proto-Oncogene Proteins c-bcl-2 - analysis</subject><subject>Psoriasis - drug therapy</subject><subject>Psoriasis - metabolism</subject><subject>Psoriasis - pathology</subject><subject>Quantification</subject><subject>Skin</subject><subject>Skin - chemistry</subject><subject>Skin - pathology</subject><subject>Techniques</subject><subject>Tumor Suppressor Protein p53 - analysis</subject><issn>0022-1759</issn><issn>1872-7905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv1DAQhS0EotvCD-CCcoFb0hk7aydwQlVLK1Xi0p4t78TZ9ZLEW9sp2n-Pt7uCG5xGM_re08w8xj4gVAgoL7fV1o0VB1AV8gpQvGILbBQvVQvL12wBwHmJatmesfMYtwCAIOEtO8OGi5qDWrDpJvixSBtb7IJP1k1F8i_tOpjd5ktx638dJk-zmZLr94Ubx3nyGxeTp40dcw37IibjJjetC9-_aOPP7DPHw6Rza5fMkHVmnft37E1vhmjfn-oFe7y5fri6Le9_fL-7-nZfUq2aVNoaGtWI1sKybrCV1FlcIRckpFp1XJEUxKmTKFQvVE1dbZCWEtoeBBFvxAX7fPTNVz3NNiadVyU7DGayfo5agQApQP0X5NCgqOs2g3gEKfgYg-31LuSjwl4j6EMaeqtzGvqQhkaucxpZ8_FkPq9G2_1VnN6fgU8nwEQyQx_MRC7-4Tggl0fu65Gz-WfPzgYdydmJbOeCpaQ77_6xxm9_u6fO</recordid><startdate>20080229</startdate><enddate>20080229</enddate><creator>Kokolakis, Georgios</creator><creator>Panagis, Lambros</creator><creator>Stathopoulos, Efstathios</creator><creator>Giannikaki, Elpida</creator><creator>Tosca, Androniki</creator><creator>Krüger-Krasagakis, Sabine</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T5</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20080229</creationdate><title>From the protein to the graph: How to quantify immunohistochemistry staining of the skin using digital imaging</title><author>Kokolakis, Georgios ; Panagis, Lambros ; Stathopoulos, Efstathios ; Giannikaki, Elpida ; Tosca, Androniki ; Krüger-Krasagakis, Sabine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c478t-e4087839e0548196cde1b123c367bd27c63c2cd6137f374cd4a1c5609f03cc283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Antibodies, Monoclonal - therapeutic use</topic><topic>Biological and medical sciences</topic><topic>Digital image analysis</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fundamental immunology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Immunohistochemistry</topic><topic>Immunohistochemistry - methods</topic><topic>Infliximab</topic><topic>Molecular immunology</topic><topic>Proteins - analysis</topic><topic>Proto-Oncogene Proteins c-bcl-2 - analysis</topic><topic>Psoriasis - drug therapy</topic><topic>Psoriasis - metabolism</topic><topic>Psoriasis - pathology</topic><topic>Quantification</topic><topic>Skin</topic><topic>Skin - chemistry</topic><topic>Skin - pathology</topic><topic>Techniques</topic><topic>Tumor Suppressor Protein p53 - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kokolakis, Georgios</creatorcontrib><creatorcontrib>Panagis, Lambros</creatorcontrib><creatorcontrib>Stathopoulos, Efstathios</creatorcontrib><creatorcontrib>Giannikaki, Elpida</creatorcontrib><creatorcontrib>Tosca, Androniki</creatorcontrib><creatorcontrib>Krüger-Krasagakis, Sabine</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of immunological methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kokolakis, Georgios</au><au>Panagis, Lambros</au><au>Stathopoulos, Efstathios</au><au>Giannikaki, Elpida</au><au>Tosca, Androniki</au><au>Krüger-Krasagakis, Sabine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>From the protein to the graph: How to quantify immunohistochemistry staining of the skin using digital imaging</atitle><jtitle>Journal of immunological methods</jtitle><addtitle>J Immunol Methods</addtitle><date>2008-02-29</date><risdate>2008</risdate><volume>331</volume><issue>1</issue><spage>140</spage><epage>146</epage><pages>140-146</pages><issn>0022-1759</issn><eissn>1872-7905</eissn><coden>JIMMBG</coden><abstract>Quantitative immunohistochemistry is needed in order to reliably and accurately assess the expression of cellular proteins in tissue. Skin is a difficult tissue for automated image analysis due to its heterogeneous composition and its architecture. In the present study we used a psoriatic skin model to compare the expression of p53 and bcl-2 before and after treatment with anti-tumor necrosis factor-alpha using digital image analysis. Digital photomicrographs were acquired and analyzed with Scion image software in order to obtain the fraction of p53 and bcl-2 immunoreactive cells' area out of the total area investigated. Statistical analysis with ANOVA revealed a significant increase of p53 expression and a decrease of bcl-2 expression in all 3 epidermal layers during the course of therapy (p
<
0.001). The results were in line with the conventional histopathological evaluation using an arbitrary scale to grade the extent and intensity of the staining. So, the estimation of volume fraction of immunohistochemically labelled cells in skin tissue can be performed easily and rapidly using commonly available image analysis software and provides reproducible and unbiased numerical estimations of the amount of cell labelling.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>18234207</pmid><doi>10.1016/j.jim.2007.12.013</doi><tpages>7</tpages></addata></record> |
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| subjects | Antibodies, Monoclonal - therapeutic use Biological and medical sciences Digital image analysis Fundamental and applied biological sciences. Psychology Fundamental immunology Humans Image Processing, Computer-Assisted Immunohistochemistry Immunohistochemistry - methods Infliximab Molecular immunology Proteins - analysis Proto-Oncogene Proteins c-bcl-2 - analysis Psoriasis - drug therapy Psoriasis - metabolism Psoriasis - pathology Quantification Skin Skin - chemistry Skin - pathology Techniques Tumor Suppressor Protein p53 - analysis |
| title | From the protein to the graph: How to quantify immunohistochemistry staining of the skin using digital imaging |
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