title: Numerical quadruplet code of human cervical carcinoma tissue proteins.
abstract: Proteins were extracted from cervical cancer tissue at 100,000 g supernatant. The four most abundant extracted tissue proteins form a "numerical quadruplet code", by which tissues can be distinguished from each other. Proteins that are specific for cervical cancer were a protein with a relative migration rate of 0.5, obtained by disc-electrophoresis, and a small protein, p 35, obtained by SDS-PAGE. This shows that, in a malignant process, the expression of a new protein may occur or, more probably, an already existing protein is better expressed.
authors.affiliation: Department of Biology, School of Medicine, University of Zagreb, Croatia.
authors.forename: S
authors.initials: S
authors.lastname: Altarac
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000737:chemistry; D004589:Electrophoresis, Disc; D004591:Electrophoresis, Polyacrylamide Gel; D005260:Female; D006801:Humans; D008970:Molecular Weight; D009363:Neoplasm Proteins / Q000737:chemistry / Q000145:classification*; D002578:Uterine Cervical Dysplasia / Q000737:chemistry; D002583:Uterine Cervical Neoplasms / Q000737:chemistry*
chemical_list: D009363:Neoplasm Proteins