Probing the human epidermis by combining ToF-SIMS and multivariate analysis

Author:

Delvaux Xavier1ORCID,Noël Céline2ORCID,Poumay Yves3ORCID,Houssiau Laurent1ORCID

Affiliation:

1. Laboratoire Interdisciplinaire de Spectroscopie Electronique (LISE), Namur Institute of Structured Matter (NISM) 1 , Namur 5000, Belgium

2. Interuniversity Microelectronics Center (IMEC) 2 , Leuven 3001, Belgium

3. Laboratoire Cellules et Tissus (LabCeTi), Namur Research Institute for Life Sciences (NARILIS) 3 , Namur 5000, Belgium

Abstract

The mammalian organism is continuously exposed to various biological and chemical threats from its surroundings. In order to provide protection against these threats, mammals have developed a specialized defense system at the interface with their environment. This system, known as the epidermis, is mainly composed of stratified keratinocytes organized in a complex self-renewing structure providing a mechanical and chemical barrier at the skin surface. However, numerous skin-related pathologies can interfere with the proper formation and function of the epidermal barrier. The pathogenesis of these alterations is often very complex. Understanding the changes induced in epidermal tissues by these pathologies at a molecular level is key for their treatment and prevention. In this context, this work aims at developing a thorough and reproducible characterization methodology of the human epidermis by applying ToF-SIMS to the study of an in vitro epidermal model known as reconstructed human epidermis (RHE). Indeed, although the potential of ToF-SIMS for the characterization of the mammalian skin has already been demonstrated, very few studies focus their efforts on the human epidermis itself. Here, we performed static ToF-SIMS characterizations of RHE cryosections, combining both high mass and high lateral resolution acquisitions. In addition, principal components analysis was used as a multivariate analysis tool. This contributed to the decorrelation of the complex datasets obtained from these biological systems and allowed capturing of their most statistically representative spectral features. Remarkably, this tool proved to be successful in extracting meaningful biological information from the datasets by yielding principal components distinguishing the cornified layers from the metabolically active epidermal cells. Finally, on the basis of multiple ToF-SIMS acquisitions, we showed that this methodology allows for the convenient production of experimental replicates, a key feature often difficult to achieve in ex vivo approaches.

Publisher

American Vacuum Society

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Materials Science,Biomaterials,General Chemistry

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