An integrated genome-wide multi-omics analysis of gene expression dynamics in the preimplantation mouse embryo.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
16 09 2019
Historique:
received: 07 01 2019
accepted: 27 08 2019
entrez: 19 9 2019
pubmed: 19 9 2019
medline: 30 10 2020
Statut: epublish

Résumé

Early mouse embryos have an atypical translational machinery that consists of cytoplasmic lattices and is poorly competent for translation. Hence, the impact of transcriptomic changes on the operational level of proteins is predicted to be relatively modest. To investigate this, we performed liquid chromatography-tandem mass spectrometry and mRNA sequencing at seven developmental stages, from the mature oocyte to the blastocyst, and independently validated our data by immunofluorescence and qPCR. We detected and quantified 6,550 proteins and 20,535 protein-coding transcripts. In contrast to the transcriptome - where changes occur early, mostly at the 2-cell stage - our data indicate that the most substantial changes in the proteome take place towards later stages, between the morula and blastocyst. We also found little to no concordance between the changes in protein and transcript levels, especially for early stages, but observed that the concordance increased towards the morula and blastocyst, as did the number of free ribosomes. These results are consistent with the cytoplasmic lattice-to-free ribosome transition being a key mediator of developmental regulation. Finally, we show how these data can be used to appraise the strengths and limitations of mRNA-based studies of pre-implantation development and expand on the list of known developmental markers.

Identifiants

pubmed: 31527703
doi: 10.1038/s41598-019-49817-3
pii: 10.1038/s41598-019-49817-3
pmc: PMC6746714
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13356

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Auteurs

Steffen Israel (S)

Max-Planck-Institute for Molecular Biomedicine, Roentgenstr. 20, 48149, Muenster, Germany.

Mathias Ernst (M)

Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Ernst-Heydemann Str. 8, 18057, Rostock, Germany.
Division of Bioinformatics, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany.

Olympia E Psathaki (OE)

Max-Planck-Institute for Molecular Biomedicine, Roentgenstr. 20, 48149, Muenster, Germany.
University of Osnabrück, Center for Cellular Nanoanalytics Osnabrück (CellNanOs), Integrated Bioimaging Facility Osnabrück (iBiOs), Barbarastr. 11, 49076, Osnabrück, Germany.

Hannes C A Drexler (HCA)

Max-Planck-Institute for Molecular Biomedicine, Roentgenstr. 20, 48149, Muenster, Germany.

Ellen Casser (E)

Max-Planck-Institute for Molecular Biomedicine, Roentgenstr. 20, 48149, Muenster, Germany.

Yutaka Suzuki (Y)

Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, 277-8562, Japan.

Wojciech Makalowski (W)

Institute of Bioinformatics, Faculty of Medicine, University of Münster, Niels Stensen Str. 14, 48149, Münster, Germany.

Michele Boiani (M)

Max-Planck-Institute for Molecular Biomedicine, Roentgenstr. 20, 48149, Muenster, Germany. mboiani@mpi-muenster.mpg.de.

Georg Fuellen (G)

Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Ernst-Heydemann Str. 8, 18057, Rostock, Germany. fuellen@uni-rostock.de.

Leila Taher (L)

Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Ernst-Heydemann Str. 8, 18057, Rostock, Germany. leila.taher@fau.de.
Division of Bioinformatics, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Staudtstr. 5, 91058, Erlangen, Germany. leila.taher@fau.de.

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