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Microdissection of well defined cell populations for RNA isolation in the analysis of normal human skin and basal cell carcinoma

The human skin provides us with an excellent protective barrier and possesses a remarkable ability of constant renewal. Basal cell carcinoma is the most common type of skin cancer. The aim of this project was to verify results from an earlier study investigating the molecular differences between basal cell carcinoma (BCC) and basal cells of normal human epidermis. In that study microdissection of cell populations from BCC and basal cells of normal epidermis respectively was performed in five cases of confirmed BCC. Following RNA extraction and amplification, a gene expression analysis was performed using a 46 k human cDNA microarray. Comparison of expression profiles showed a differential expression of approximately 300 genes in BCC. An upregulation of signaling pathways previously known to be of importance in BCC development could be observed, as well as a downregulation of differentiation markers, MHC class II molecules, and proteins active in scavenging of oxygen radicals. We wanted to confirm these findings for a number of selected genes, using real time PCR. The focal point of this project was microdissection of cells from BCC and subsequent isolation of RNA. Microdissection based methods offer a possibility of selecting well defined cell populations for further analysis by using a focused laser beam. Initially tests in order to optimize the method were also performed, concerning the dehydration process and choice of slides used in microdissection. Isolation of RNA may, as we experienced, be associated with problems due to destruction of RNA by degrading enzymes.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-6148
Date January 2005
CreatorsEdlund, Karolina
PublisherUppsala universitet, Institutionen för medicinsk biokemi och mikrobiologi
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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