Literature DB >> 30986076

Comparative Analysis of the Transcriptome and Proteome during Mouse Placental Development.

Majd Abdulghani1,2, Gaoyuan Song3, Haninder Kaur2, Justin W Walley1,3, Geetu Tuteja1,2.   

Abstract

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 phosphosites 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.

Entities:  

Keywords:  development; mouse; multiomics; phosphoproteomics; placenta; proteomics; transcriptomics; trophoblast invasion

Mesh:

Substances:

Year:  2019        PMID: 30986076      PMCID: PMC6510480          DOI: 10.1021/acs.jproteome.8b00970

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  134 in total

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3.  Genome-wide and candidate gene association studies of placental abruption.

Authors:  Tsegaselassie Workalemahu; Daniel A Enquobahrie; Amy Moore; Sixto E Sanchez; Cande V Ananth; Percy N Pacora; Liming Liang; Manuel Salazar; Michelle A Williams
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4.  Sample Preparation Protocols for Protein Abundance, Acetylome, and Phosphoproteome Profiling of Plant Tissues.

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Journal:  Methods Mol Biol       Date:  2017

5.  Rapid and reproducible single-stage phosphopeptide enrichment of complex peptide mixtures: application to general and phosphotyrosine-specific phosphoproteomics experiments.

Authors:  Arminja N Kettenbach; Scott A Gerber
Journal:  Anal Chem       Date:  2011-09-20       Impact factor: 6.986

Review 6.  Wnt signalling in implantation, decidualisation and placental differentiation--review.

Authors:  S Sonderegger; J Pollheimer; M Knöfler
Journal:  Placenta       Date:  2010-08-15       Impact factor: 3.481

7.  Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt.

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8.  A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells.

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Journal:  Elife       Date:  2014-01-01       Impact factor: 8.140

9.  Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia.

Authors:  Katherine Leavey; Samantha L Wilson; Shannon A Bainbridge; Wendy P Robinson; Brian J Cox
Journal:  Clin Epigenetics       Date:  2018-03-02       Impact factor: 6.551

10.  Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology.

Authors:  Brian Cox; Max Kotlyar; Andreas I Evangelou; Vladimir Ignatchenko; Alex Ignatchenko; Kathie Whiteley; Igor Jurisica; S Lee Adamson; Janet Rossant; Thomas Kislinger
Journal:  Mol Syst Biol       Date:  2009-06-16       Impact factor: 11.429

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2.  Integrated analysis of mRNA and protein expression profiling in tubal endometriosis.

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3.  Characterization of the Primary Human Trophoblast Cell Secretome Using Stable Isotope Labeling With Amino Acids in Cell Culture.

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4.  Integration of transcriptome and proteome profiles in placenta accreta reveals trophoblast over-migration as the underlying pathogenesis.

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Journal:  Clin Proteomics       Date:  2021-12-29       Impact factor: 3.988

5.  Maternal Iron Deficiency Modulates Placental Transcriptome and Proteome in Mid-Gestation of Mouse Pregnancy.

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6.  Transcriptomic and proteomic analyses of ovarian follicles reveal the role of VLDLR in chicken follicle selection.

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7.  Proteome profiling of human placenta reveals developmental stage-dependent alterations in protein signature.

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8.  Single Nucleus RNA Sequence (snRNAseq) Analysis of the Spectrum of Trophoblast Lineages Generated From Human Pluripotent Stem Cells in vitro.

Authors:  Teka Khan; Arun S Seetharam; Jie Zhou; Nathan J Bivens; Danny J Schust; Toshihiko Ezashi; Geetu Tuteja; R Michael Roberts
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  8 in total

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