Literature DB >> 25367296

Differences in embryo quality are associated with differences in oocyte composition: a proteomic study in inbred mice.

Martin J Pfeiffer1, Leila Taher, Hannes Drexler, Yutaka Suzuki, Wojciech Makałowski, Caroline Schwarzer, Bingyuan Wang, Georg Fuellen, Michele Boiani.   

Abstract

Current models of early mouse development assign roles to stochastic processes and epigenetic regulation, which are considered to be as influential as the genetic differences that exist between strains of the species Mus musculus. The aim of this study was to test whether mouse oocytes vary from each other in the abundance of gene products that could influence, prime, or even predetermine developmental trajectories and features of derivative embryos. Using the paradigm of inbred mouse strains, we quantified 2010 protein groups (SILAC LC-MS/MS) and 15205 transcripts (RNA deep sequencing) present simultaneously in oocytes of four strains tested (129/Sv, C57Bl/6J, C3H/HeN, DBA/2J). Oocytes differed according to donor strain in the abundance of catalytic and regulatory proteins, as confirmed for a subset (bromodomain adjacent to zinc finger domain, 1B [BAZ1B], heme oxygenase 1 [HMOX1], estrogen related receptor, beta [ESRRB]) via immunofluorescence in situ. Given a Pearson's r correlation coefficient of 0.18-0.20, the abundance of oocytic proteins could not be predicted from that of cognate mRNAs. Our results document that a prerequisite to generate embryo diversity, namely the different abundances of maternal proteins in oocytes, can be studied in the model of inbred mouse strains. Thus, we highlight the importance of proteomic quantifications in modern embryology. All MS data have been deposited in the ProteomeXchange with identifier PXD001059 (http://proteomecentral.proteomexchange.org/dataset/PXD001059).
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Cell biology; Deep RNA sequencing; Development; Mouse strains; Oocyte; SILAC

Mesh:

Substances:

Year:  2015        PMID: 25367296     DOI: 10.1002/pmic.201400334

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  12 in total

Review 1.  Heme oxygenase/carbon monoxide in the female reproductive system: an overlooked signalling pathway.

Authors:  David Němeček; Markéta Dvořáková; Markéta Sedmíková
Journal:  Int J Biochem Mol Biol       Date:  2017-01-15

2.  Picking the right tool for the job--Phosphoproteomics of egg activation.

Authors:  Gary M Wessel
Journal:  Proteomics       Date:  2015-12       Impact factor: 3.984

Review 3.  The double-edged sword of the mammalian oocyte--advantages, drawbacks and approaches for basic and clinical analysis at the single cell level.

Authors:  L M Brayboy; G M Wessel
Journal:  Mol Hum Reprod       Date:  2015-11-19       Impact factor: 4.025

4.  KDM4B-mediated reduction of H3K9me3 and H3K36me3 levels improves somatic cell reprogramming into pluripotency.

Authors:  Jingwei Wei; Jisha Antony; Fanli Meng; Paul MacLean; Rebekah Rhind; Götz Laible; Björn Oback
Journal:  Sci Rep       Date:  2017-08-08       Impact factor: 4.379

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

Authors:  Steffen Israel; Mathias Ernst; Olympia E Psathaki; Hannes C A Drexler; Ellen Casser; Yutaka Suzuki; Wojciech Makalowski; Michele Boiani; Georg Fuellen; Leila Taher
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

6.  A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program.

Authors:  Celia Alda-Catalinas; Danila Bredikhin; Irene Hernando-Herraez; Fátima Santos; Oana Kubinyecz; Mélanie A Eckersley-Maslin; Oliver Stegle; Wolf Reik
Journal:  Cell Syst       Date:  2020-07-06       Impact factor: 10.304

7.  The proteome, not the transcriptome, predicts that oocyte superovulation affects embryonic phenotypes in mice.

Authors:  Leila Taher; Steffen Israel; Hannes C A Drexler; Wojciech Makalowski; Yutaka Suzuki; Georg Fuellen; Michele Boiani
Journal:  Sci Rep       Date:  2021-12-09       Impact factor: 4.379

8.  The most abundant maternal lncRNA Sirena1 acts post-transcriptionally and impacts mitochondrial distribution.

Authors:  Sravya Ganesh; Filip Horvat; David Drutovic; Michaela Efenberkova; Dominik Pinkas; Anna Jindrova; Josef Pasulka; Rajan Iyyappan; Radek Malik; Andrej Susor; Kristian Vlahovicek; Petr Solc; Petr Svoboda
Journal:  Nucleic Acids Res       Date:  2020-04-06       Impact factor: 16.971

9.  Age-related alterations in fertilization-induced Ca2+ oscillations depend on the genetic background of mouse oocytes†.

Authors:  Katarzyna Czajkowska; Agnieszka Walewska; Takao Ishikawa; Katarzyna Szczepańska; Anna Ajduk
Journal:  Biol Reprod       Date:  2020-10-29       Impact factor: 4.285

10.  The tweety Gene Family: From Embryo to Disease.

Authors:  Rithvik R Nalamalapu; Michelle Yue; Aaron R Stone; Samantha Murphy; Margaret S Saha
Journal:  Front Mol Neurosci       Date:  2021-06-28       Impact factor: 5.639

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