Evaluating Mass Spectrometry Approaches for Identifying Proteomic Changes in Maternal Urine in Pregnancy and Labour

dc.contributor.advisorDufour, Antoine
dc.contributor.advisorSlater, Donna
dc.contributor.authorSonali
dc.contributor.committeememberMacDonald, Justin
dc.contributor.committeememberSycuro, Laura
dc.date2025-06
dc.date.accessioned2025-02-18T16:51:51Z
dc.date.available2025-02-18T16:51:51Z
dc.date.issued2025-01-31
dc.description.abstractPreterm birth (PTB) is a critical global health issue, contributing to significant neonatal mortality and long-term complications. Almost half of the preterm births occur due to spontaneous preterm labour (PTL). Despite substantial research efforts, our knowledge of labour onset and progression leading to either preterm and term delivery is limited. With the intent of exploring more about the physiological processes of pregnancy and labour, we performed label-free shotgun proteomics on maternal urinary samples using two different modes of mass spectrometer – data- dependent acquisition (DDA) and data-independent acquisition (DIA). The goal was to assess what approach resulted in high quality and reproducible data by detecting and quantifying large number of proteins for a discovery study using urine samples. Comparative analysis of DDA and DIA demonstrated superior performance of DIA. DIA resulted in better data in terms of consistency of protein detection, retaining higher number of total proteins and uniquely detected proteins for downstream analysis and presence of fewer number of missing values. To investigate further, we expanded our discovery cohort and performed DIA proteomics. Proteomics data analysis revealed elevated levels of Defensin alpha 1 (DEFA1) and Kallikrein 1 (KLK1) in the Labour group while the Non Labour group showed elevated levels of Endosialin (CD248) and Leucine-rich alpha-2-glycoprotein (LRG1). To identify the proteomics changes with respect to gestational age, we compared Preterm Non Labour (PTNL) group with Term Non Labour (TNL) group. The PTNL group was found significantly enriched in Fatty acid binding protein 5 (FABP5) and Keratin type 1 cytoskeletal 16 (KRT16) while TNL group showed significant enrichment in Calmodulin (CALM1). Differential levels of aforementioned proteins seem to be associated with labour and changes with gestational age. Future studies are required to validate the observed trends in protein abundances in the study groups and to determine the potential of these proteins for prediction of preterm labour or preterm birth.
dc.identifier.citationSonali (2025). Evaluating mass spectrometry approaches for identifying proteomic changes in maternal urine in pregnancy and labour (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttps://hdl.handle.net/1880/120796
dc.language.isoen
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectPreterm birth
dc.subjectPregnancy
dc.subjectLabour
dc.subjectData-dependent acquisition
dc.subjectData-independent acquisition
dc.subjectMass spectrometry
dc.subjectProteomics
dc.subject.classificationBiology--Molecular
dc.subject.classificationEducation--Sciences
dc.subject.classificationBiochemistry
dc.titleEvaluating Mass Spectrometry Approaches for Identifying Proteomic Changes in Maternal Urine in Pregnancy and Labour
dc.typemaster thesis
thesis.degree.disciplineMedicine – Biochemistry and Molecular Biology
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accesssetbystudentI do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.
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