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Proteomic Characterisation of Placenta Tissue for Biomarker Discovery – Workflow Development and Application

Peric, Tanja LU and Hevelius Bounja, Selma LU (2024) EEML05 20241
Department of Biomedical Engineering
Abstract
Preeclampsia (PE) occurs in up to 5% of worldwide pregnancies. It is a complex disease characterised by sudden onset hypertension, and it is harmful to the mother as well as the growing baby, accounting for 40% of fetal deaths worldwide. The disease can be divided into early and late-onset PE, defined as diagnosis earlier or later than 34 weeks of gestation. Despite decades of research, the cause of PE is still poorly defined, but the placenta is central to pathogenesis. Currently, no biomarkers for early detection, progression, and estimation of severity exist, especially for late-onset PE. In this study, two sample preparation strategies were compared in terms of protein extraction and digestion for processing placenta tissue samples.... (More)
Preeclampsia (PE) occurs in up to 5% of worldwide pregnancies. It is a complex disease characterised by sudden onset hypertension, and it is harmful to the mother as well as the growing baby, accounting for 40% of fetal deaths worldwide. The disease can be divided into early and late-onset PE, defined as diagnosis earlier or later than 34 weeks of gestation. Despite decades of research, the cause of PE is still poorly defined, but the placenta is central to pathogenesis. Currently, no biomarkers for early detection, progression, and estimation of severity exist, especially for late-onset PE. In this study, two sample preparation strategies were compared in terms of protein extraction and digestion for processing placenta tissue samples. Urea protein extraction followed by in-solution digestion was compared to sodium dodecyl sulfate (SDS) extraction combined with suspension trapping (S-Trap). The Urea protocol showed lower experimental variation and offered a reproducible and high-throughput workflow for proteomic analysis of placenta tissue. In the second part of the study, the importance of meticulous sample collection and storage on relative protein abundances was investigated. Proteins and pathways mainly related to the mitochondria and the ribosome were identified and shown to be strongly affected by long sample processing times. The optimised workflow was successfully applied to a cohort of 19 placenta samples, identifying 6,700–7,000 proteins per sample, which, to the best of our knowledge, is far more than previously published studies. In the last part of the study, analysis of differentially expressed proteins between the sample groups revealed that placentas of women with early-onset PE differ more from late-onset PE and controls. (Less)
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author
Peric, Tanja LU and Hevelius Bounja, Selma LU
supervisor
organization
alternative title
Proteomisk karakterisering av placentavävnad för identifiering av biomarkörer – metodutveckling och applicering
course
EEML05 20241
year
type
M2 - Bachelor Degree
subject
language
English
id
9157422
date added to LUP
2024-06-04 09:16:36
date last changed
2024-06-04 09:16:36
@misc{9157422,
  abstract     = {{Preeclampsia (PE) occurs in up to 5% of worldwide pregnancies. It is a complex disease characterised by sudden onset hypertension, and it is harmful to the mother as well as the growing baby, accounting for 40% of fetal deaths worldwide. The disease can be divided into early and late-onset PE, defined as diagnosis earlier or later than 34 weeks of gestation. Despite decades of research, the cause of PE is still poorly defined, but the placenta is central to pathogenesis. Currently, no biomarkers for early detection, progression, and estimation of severity exist, especially for late-onset PE. In this study, two sample preparation strategies were compared in terms of protein extraction and digestion for processing placenta tissue samples. Urea protein extraction followed by in-solution digestion was compared to sodium dodecyl sulfate (SDS) extraction combined with suspension trapping (S-Trap). The Urea protocol showed lower experimental variation and offered a reproducible and high-throughput workflow for proteomic analysis of placenta tissue. In the second part of the study, the importance of meticulous sample collection and storage on relative protein abundances was investigated. Proteins and pathways mainly related to the mitochondria and the ribosome were identified and shown to be strongly affected by long sample processing times. The optimised workflow was successfully applied to a cohort of 19 placenta samples, identifying 6,700–7,000 proteins per sample, which, to the best of our knowledge, is far more than previously published studies. In the last part of the study, analysis of differentially expressed proteins between the sample groups revealed that placentas of women with early-onset PE differ more from late-onset PE and controls.}},
  author       = {{Peric, Tanja and Hevelius Bounja, Selma}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Proteomic Characterisation of Placenta Tissue for Biomarker Discovery – Workflow Development and Application}},
  year         = {{2024}},
}