Data released on November 24, 2015
Human epidermis from three patients underwent single-target immunofluorescence labelling against: calmodulin, β1 integrin, β4 integrin, keratin-10, keratin-14, 14-3-3σ (stratifin), Raf-1, phospho-Raf-1 (pS338), MEK-1/2, phospho-MEK-1/2 (pS218/pS222), ERK-1/2, phospho-ERK-1/2 (pT183/pY185), JunB, c-Jun, c-Fos and Fra2.
Confocal microscopy was used to collect image data over a tissue volume, at or near the diffraction limited imaging (x-y) resolution, providing a unique data set that examines signalling proteins in the context of a homeostatic human tissue.
We have recently used bulk changes in the abundance of proteins and phospho-proteins (a subset of these data) for a model of in situ ERK-MAPK activity, driven by Ca2+ signalling inputs. There may be scope in extending such analyses to include a greater range of the data within a model of epidermal keratinocyte differentiation. Furthermore, we believe that researchers who study intercellular heterogeneity of signalling components may find these data useful.
Together with our sampled protein abundance data, we provide some preliminary cellular segmentations. On via our GitHub page, we also provide a collection of MATLAB scripts and segmented data files that allow quantitative analysis of these image data. The intermediate processed files are provided in formats that should allow advanced users to develop their own analyses using open source tools such as python.
Cursons, J., Angel, C. E., Hurley, D. G., Print, C. G., Dunbar, P. R., Jacobs, M. D., & Crampin, E. J. (2015). Spatially transformed fluorescence image data for ERK-MAPK and selected proteins within human epidermis. GigaScience, 4(1). doi:10.1186/s13742-015-0102-5