Comparative Analysis of the Transcriptome and Proteome during Mouse Placental Development

被引:22
作者
Abdulghani, Majd [1 ,2 ,4 ]
Song, Gaoyuan [3 ]
Kaur, Haninder [2 ]
Walley, Justin W. [1 ,3 ]
Tuteja, Geetu [1 ,2 ]
机构
[1] Iowa State Univ, Interdept Genet & Genom, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Genet Dev & Cell Biol, Ames, IA 50011 USA
[3] Iowa State Univ, Dept Plant Pathol & Microbiol, Ames, IA 50011 USA
[4] Univ Michigan, Inst Life Sci, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
placenta; trophoblast invasion; proteomics; transcriptomics; phosphoproteomics; multiomics; mouse; development; TROPHOBLAST CELL INVASION; DOWN-REGULATION; EXTRAEMBRYONIC ECTODERM; COMPUTATIONAL PLATFORM; DEPENDENT INTERACTION; IV COLLAGENASE; EXPRESSION; MIGRATION; PROLIFERATION; GENE;
D O I
10.1021/acs.jproteome.8b00970
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The condition of the placenta is a determinant of the short and long-term health of the mother and the fetus. However, critical processes occurring in early placental development, such as trophoblast invasion and establishment of placental metabolism, remain poorly understood. To gain a better understanding of the genes involved in regulating these processes, we utilized a multiomics approach, incorporating transcriptome, proteome, and phosphoproteome data generated from mouse placental tissue collected at two critical developmental time points. We found that incorporating information from both the transcriptome and proteome identifies genes associated with time point-specific biological processes, unlike using the proteome alone. We further inferred genes upregulated on the basis of the proteome data but not the transcriptome data at each time point, leading us to identify 27 genes that we predict to have a role in trophoblast migration or placental metabolism. Finally, using the phosphoproteome data set, we discovered novel phosphorites that may play crucial roles in the regulation of placental transcription factors. By generating the largest proteome and phosphoproteome data sets in the developing placenta, and integrating transcriptome analysis, we uncovered novel aspects of placental gene regulation.
引用
收藏
页码:2088 / 2099
页数:12
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