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Quantitative image analysis of protein expression and colocalisation in skin sections
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Dermatology and Venereology.ORCID iD: 0000-0001-9280-9832
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Dermatology and Venereology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Dermatology and Venereology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Dermatology and Venereology.
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2018 (English)In: Experimental dermatology, ISSN 0906-6705, E-ISSN 1600-0625, Vol. 27, no 2, p. 196-199Article in journal, Letter (Refereed) Published
Abstract [en]

Immunofluorescence (IF) and in situ proximity ligation assay (isPLA) are techniques that are used for in situ protein expression and colocalisation analysis, respectively. However, an efficient quantitative method to analyse both IF and isPLA staining on skin sections is lacking. Therefore, we developed a new method for semi-automatic quantitative layer-by-layer measurement of protein expression and colocalisation in skin sections using the free open-source software CellProfiler. As a proof of principle, IF and isPLA of ichthyosis-related proteins TGm-1 and SDR9C7 were examined. The results indicate that this new method can be used for protein expression and colocalisation analysis in skin sections.

Place, publisher, year, edition, pages
2018. Vol. 27, no 2, p. 196-199
National Category
Biomedical Laboratory Science/Technology Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-338544DOI: 10.1111/exd.13457ISI: 000423679700014OAI: oai:DiVA.org:uu-338544DiVA, id: diva2:1172480
Projects
Inherited skin disorders
Funder
Swedish Research Council, K2013-57x-22309-3Available from: 2018-01-09 Created: 2018-01-10 Last updated: 2018-03-07Bibliographically approved

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Zhang, HanqianVirtanen, MarieWählby, CarolinaVahlquist, AndersTörmä, Hans

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Zhang, HanqianVirtanen, MarieWählby, CarolinaVahlquist, AndersTörmä, Hans
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Dermatology and VenereologyDivision of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
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Experimental dermatology
Biomedical Laboratory Science/TechnologyMedical Image Processing

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