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Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags

Many pregnant women suffer miscarriages during early gestation, but the description of these early pregnancy losses (EPL) can be somewhat confusing because of the complexities of early development. Thus, the identification of proteins with different expression profiles related to early pregnancy los...

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Autores principales: Ni, Xiaobei, Li, Xin, Guo, Yueshuai, Zhou, Tao, Guo, Xuejiang, Zhao, Chun, Lin, Min, Zhou, Zuomin, Shen, Rong, Guo, Xirong, Ling, Xiufeng, Huo, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971554/
https://www.ncbi.nlm.nih.gov/pubmed/24738066
http://dx.doi.org/10.1155/2014/647143
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author Ni, Xiaobei
Li, Xin
Guo, Yueshuai
Zhou, Tao
Guo, Xuejiang
Zhao, Chun
Lin, Min
Zhou, Zuomin
Shen, Rong
Guo, Xirong
Ling, Xiufeng
Huo, Ran
author_facet Ni, Xiaobei
Li, Xin
Guo, Yueshuai
Zhou, Tao
Guo, Xuejiang
Zhao, Chun
Lin, Min
Zhou, Zuomin
Shen, Rong
Guo, Xirong
Ling, Xiufeng
Huo, Ran
author_sort Ni, Xiaobei
collection PubMed
description Many pregnant women suffer miscarriages during early gestation, but the description of these early pregnancy losses (EPL) can be somewhat confusing because of the complexities of early development. Thus, the identification of proteins with different expression profiles related to early pregnancy loss is essential for understanding the comprehensive pathophysiological mechanism. In this study, we report a gel-free tandem mass tags- (TMT-) labeling based proteomic analysis of five placental villous tissues from patients with early pregnancy loss and five from normal pregnant women. The application of this method resulted in the identification of 3423 proteins and 19647 peptides among the patient group and the matched normal control group. Qualitative and quantitative proteomic analysis revealed 51 proteins to be differentially abundant between the two groups (≥1.2-fold, Student's t-test, P < 0.05). To obtain an overview of the biological functions of the proteins whose expression levels altered significantly in EPL group, gene ontology analysis was performed. We also investigated the twelve proteins with a difference over 1.5-fold using pathways analysis. Our results demonstrate that the gel-free TMT-based proteomic approach allows the quantification of differences in protein expression levels, which is useful for obtaining molecular insights into early pregnancy loss.
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spelling pubmed-39715542014-04-15 Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags Ni, Xiaobei Li, Xin Guo, Yueshuai Zhou, Tao Guo, Xuejiang Zhao, Chun Lin, Min Zhou, Zuomin Shen, Rong Guo, Xirong Ling, Xiufeng Huo, Ran Biomed Res Int Research Article Many pregnant women suffer miscarriages during early gestation, but the description of these early pregnancy losses (EPL) can be somewhat confusing because of the complexities of early development. Thus, the identification of proteins with different expression profiles related to early pregnancy loss is essential for understanding the comprehensive pathophysiological mechanism. In this study, we report a gel-free tandem mass tags- (TMT-) labeling based proteomic analysis of five placental villous tissues from patients with early pregnancy loss and five from normal pregnant women. The application of this method resulted in the identification of 3423 proteins and 19647 peptides among the patient group and the matched normal control group. Qualitative and quantitative proteomic analysis revealed 51 proteins to be differentially abundant between the two groups (≥1.2-fold, Student's t-test, P < 0.05). To obtain an overview of the biological functions of the proteins whose expression levels altered significantly in EPL group, gene ontology analysis was performed. We also investigated the twelve proteins with a difference over 1.5-fold using pathways analysis. Our results demonstrate that the gel-free TMT-based proteomic approach allows the quantification of differences in protein expression levels, which is useful for obtaining molecular insights into early pregnancy loss. Hindawi Publishing Corporation 2014 2014-03-13 /pmc/articles/PMC3971554/ /pubmed/24738066 http://dx.doi.org/10.1155/2014/647143 Text en Copyright © 2014 Xiaobei Ni et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ni, Xiaobei
Li, Xin
Guo, Yueshuai
Zhou, Tao
Guo, Xuejiang
Zhao, Chun
Lin, Min
Zhou, Zuomin
Shen, Rong
Guo, Xirong
Ling, Xiufeng
Huo, Ran
Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags
title Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags
title_full Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags
title_fullStr Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags
title_full_unstemmed Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags
title_short Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags
title_sort quantitative proteomics analysis of altered protein expression in the placental villous tissue of early pregnancy loss using isobaric tandem mass tags
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971554/
https://www.ncbi.nlm.nih.gov/pubmed/24738066
http://dx.doi.org/10.1155/2014/647143
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