Maternal serum protein profile and immune response protein subunits as markers for non-invasive prenatal diagnosis of trisomy 21, 18, and 13

Handle URI:
http://hdl.handle.net/10754/562647
Title:
Maternal serum protein profile and immune response protein subunits as markers for non-invasive prenatal diagnosis of trisomy 21, 18, and 13
Authors:
Narasimhan, Kothandaraman; Lin, SuLin; Tong, Terry; Baig, Sonia; Ho, Sherry; Sukumar, Ponnusamy; Biswas, Arijit; Hahn, Sinuhe; Bajic, Vladimir B. ( 0000-0001-5435-4750 ) ; Choolani, Mahesh A.
Abstract:
Objectives: To use proteomics to identify and characterize proteins in maternal serum from patients at high-risk for fetal trisomy 21, trisomy 18, and trisomy 13 on the basis of ultrasound and maternal serum triple tests. Methods: We performed a comprehensive proteomic analysis on 23 trisomy cases and 85 normal cases during the early second trimester of pregnancy. Protein profiling along with conventional sodium dodecyl sulfate polyacrylamide gel electrophoresis/Tandem mass spectrometry analysis was carried out to characterize proteins associated with each trisomy condition and later validated using Western blot. Results: Protein profiling approach using surface enhanced laser desorption/ionization time-of-flight mass (SELDI-TOF/MS) spectrometry resulted in the identification of 37 unique hydrophobic proteomic features for three trisomy conditions. Using sodium dodecyl sulfate polyacrylamide gel electrophoresis followed by Matrix Assisted Laser Desorption Ionization - Time of Flight/Time of Flight (MALDI-TOF/TOF) and western blot, glyco proteins such as alpha-1-antitrypsin, apolipoprotein E, apolipoprotein H, and serum carrier protein transthyretin were identified as potential maternal serum markers for fetal trisomy condition. The identified proteins showed differential expression at the subunit level. Conclusions: Maternal serum protein profiling using proteomics may allow non-invasive diagnostic testing for the most common trisomies and may complement ultrasound-based methods to more accurately determine pregnancies with fetal aneuploidies. © 2013 John Wiley & Sons, Ltd.
KAUST Department:
Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program
Publisher:
Wiley
Journal:
Prenatal Diagnosis
Issue Date:
1-Feb-2013
DOI:
10.1002/pd.4047
PubMed ID:
23371439
Type:
Article
ISSN:
01973851
Sponsors:
This work was supported by the National Medical Research Council (NMRC), Singapore (Grant number: R173-000-071-213) and the Biomedical Research Council (BMRC) Singapore (Grant number: R174-000-091-305) for providing funds to carry out this project.
Appears in Collections:
Articles; Applied Mathematics and Computational Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNarasimhan, Kothandaramanen
dc.contributor.authorLin, SuLinen
dc.contributor.authorTong, Terryen
dc.contributor.authorBaig, Soniaen
dc.contributor.authorHo, Sherryen
dc.contributor.authorSukumar, Ponnusamyen
dc.contributor.authorBiswas, Arijiten
dc.contributor.authorHahn, Sinuheen
dc.contributor.authorBajic, Vladimir B.en
dc.contributor.authorChoolani, Mahesh A.en
dc.date.accessioned2015-08-03T10:59:40Zen
dc.date.available2015-08-03T10:59:40Zen
dc.date.issued2013-02-01en
dc.identifier.issn01973851en
dc.identifier.pmid23371439en
dc.identifier.doi10.1002/pd.4047en
dc.identifier.urihttp://hdl.handle.net/10754/562647en
dc.description.abstractObjectives: To use proteomics to identify and characterize proteins in maternal serum from patients at high-risk for fetal trisomy 21, trisomy 18, and trisomy 13 on the basis of ultrasound and maternal serum triple tests. Methods: We performed a comprehensive proteomic analysis on 23 trisomy cases and 85 normal cases during the early second trimester of pregnancy. Protein profiling along with conventional sodium dodecyl sulfate polyacrylamide gel electrophoresis/Tandem mass spectrometry analysis was carried out to characterize proteins associated with each trisomy condition and later validated using Western blot. Results: Protein profiling approach using surface enhanced laser desorption/ionization time-of-flight mass (SELDI-TOF/MS) spectrometry resulted in the identification of 37 unique hydrophobic proteomic features for three trisomy conditions. Using sodium dodecyl sulfate polyacrylamide gel electrophoresis followed by Matrix Assisted Laser Desorption Ionization - Time of Flight/Time of Flight (MALDI-TOF/TOF) and western blot, glyco proteins such as alpha-1-antitrypsin, apolipoprotein E, apolipoprotein H, and serum carrier protein transthyretin were identified as potential maternal serum markers for fetal trisomy condition. The identified proteins showed differential expression at the subunit level. Conclusions: Maternal serum protein profiling using proteomics may allow non-invasive diagnostic testing for the most common trisomies and may complement ultrasound-based methods to more accurately determine pregnancies with fetal aneuploidies. © 2013 John Wiley & Sons, Ltd.en
dc.description.sponsorshipThis work was supported by the National Medical Research Council (NMRC), Singapore (Grant number: R173-000-071-213) and the Biomedical Research Council (BMRC) Singapore (Grant number: R174-000-091-305) for providing funds to carry out this project.en
dc.publisherWileyen
dc.titleMaternal serum protein profile and immune response protein subunits as markers for non-invasive prenatal diagnosis of trisomy 21, 18, and 13en
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.identifier.journalPrenatal Diagnosisen
dc.contributor.institutionDiagnostic Biomarker Discovery Laboratory, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singaporeen
dc.contributor.institutionCentre for Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabiaen
dc.contributor.institutionPränatale Medizin, Universitätsspital Basel, Schanzenstrasse 46, Basel, Switzerlanden
kaust.authorBajic, Vladimir B.en

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