Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human normal and transformed buccal keratinocytes


ABSTRACT: Normal and two transformed buccal keratinocyte lines were cultured under a standardized condition to explore mechanisms of carcinogenesis and tumor marker expression at transcript and protein level. An approach combining three bioinformatic programs allowed coupling of abundant proteins and large-scale transcript data to low-abundance transcriptional regulators. The analysis identified previously proposed, and suggested novel, protein biomarkers, Gene Ontology categories and molecular networks including functionally impaired key regulator genes for buccal/oral carcinoma. Experiment Overall Design: Analysis of differential expression in two transformed buccal keratinocyte lines (SVpgC2a and SqCC/Y1) relative to normal buccal keratinocytes. Both normal and transformed cells were cultured under a standardized serum-free condition. Experiment Overall Design: Two replicates for all cell types were included.

ORGANISM(S): Homo sapiens

SUBMITTER: Roland Grafström 

PROVIDER: E-GEOD-7862 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Bioinformatics processing of protein and transcript profiles of normal and transformed cell lines indicates functional impairment of transcriptional regulators in buccal carcinoma.

Staab Claudia A CA   Ceder Rebecca R   Jägerbrink Theres T   Nilsson Jan-Anders JA   Roberg Karin K   Jörnvall Hans H   Höög Jan-Olov JO   Grafström Roland C RC  

Journal of proteome research 20070815 9


Normal and two transformed buccal keratinocyte lines were cultured under a standardized condition to explore mechanisms of carcinogenesis and tumor marker expression at transcript and protein levels. An approach combining three bioinformatic programs allowed coupling of abundant proteins and large-scale transcript data to low-abundance transcriptional regulators. The analysis identified previously proposed and suggested novel protein biomarkers, gene ontology categories, molecular networks, and  ...[more]

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