Bioinformatics processing of protein and transcript profiles of normal and transformed cell lines indicates functional impairment of transcriptional regulators in buccal carcinoma.
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 functionally impaired key regulator genes for buccal/oral carcinoma.
Staab
Claudia A
CA
Department of Medical Biochemistry and Biophysics, and Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Ceder
Rebecca
R
Jägerbrink
Theres
T
Nilsson
Jan-Anders
JA
Roberg
Karin
K
Jörnvall
Hans
H
Höög
Jan-Olov
JO
Grafström
Roland C
RC
D014408:Biomarkers, Tumor; D002461:Cell Line, Transformed; D002610:Cheek; D019295:Computational Biology / Q000379:methods*; D016895:Culture Media, Serum-Free / Q000378:metabolism; D006801:Humans; D015603:Keratinocytes / Q000378:metabolism; D008958:Models, Molecular; D009062:Mouth Neoplasms / Q000378:metabolism; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000379:methods*; D012333:RNA, Messenger / Q000378:metabolism; D014157:Transcription Factors / Q000378:metabolism; D014158:Transcription, Genetic
D014408:Biomarkers, Tumor; D016895:Culture Media, Serum-Free; D011506:Proteins; D012333:RNA, Messenger; D014157:Transcription Factors