title: Optimization of SELDI-TOF protein profiling for analysis of cervical mucous.
abstract: Cervical mucous, produced in the region where cervical neoplasia occurs, is thought to be a good choice for discovery of biomarkers to improve cervical cancer screening. In this study, SELDI-TOF MS analysis was used to evaluate parameters for protein profiling of mucous. Proteins were extracted from mucous collected with Weck-Cel sponges. Several parameters like extraction reagent, loading protein concentration, matrix type, bind/wash conditions and sample fractionation, on different protein chip surfaces were evaluated. SELDI peak number and consistency in the resulting spectra were used to evaluate each condition. Analysis of spectra generated by different protein chips revealed an average of 30 peaks in the 2.5-30 kDa mass range using sinnapinic acid in the unfractionated sample. Sample concentration and buffer conditions evaluated did not lead to large alterations in the profiles. Quality control spectra were reproducible with intra- and inter-assay intensity CV for CM10, H50 and Q10 arrays being less than 20% and 30% respectively. IMAC30-Cu chips had higher intra- and inter-assay CV's at 25% and 35%. Current data showed that optimizing pre-analytical parameters can help in standardization and reproducibility of protein profiles produced by cervical mucous, and thus can be used for protein biomarker discovery with the SELDI platform.
authors.affiliation: Centers for Disease Control and Prevention, Coordinating Center for Infectious Diseases, Atlanta, Georgia 30333, USA. eru0@cdc.gov
authors.forename: Gitika
authors.initials: G
authors.lastname: Panicker
authors.forename: Daisy R
authors.initials: DR
authors.lastname: Lee
authors.forename: Elizabeth R
authors.initials: ER
authors.lastname: Unger
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism*; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D009093:Mucus; D020543:Proteome / Q000378:metabolism*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods; D002583:Uterine Cervical Neoplasms / Q000378:metabolism*; D014599:Uterus / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome