Literature DB >> 20106898

Use of proteomics to identify highly abundant maternal factors that drive the egg-to-embryo transition.

Piraye Yurttas1, Eric Morency, Scott A Coonrod.   

Abstract

As IVF becomes an increasingly popular method for human reproduction, it is more critical than ever to understand the unique molecular composition of the mammalian oocyte. DNA microarray studies have successfully provided valuable information regarding the identity and dynamics of factors at the transcriptional level. However, the oocyte transcribes and stores a large amount of material that plays no obvious role in oogenesis, but instead is required to regulate embryogenesis. Therefore, an accurate picture of the functional state of the oocyte requires both transcriptional profiling and proteomics. Here, we summarize our previous studies of the oocyte proteome, and present new panels of oocyte proteins that we recently identified in screens of metaphase II-arrested mouse oocytes. Importantly, our studies indicate that several abundant oocyte proteins are not, as one might predict, ubiquitous housekeeping proteins, but instead are unique to the oocyte. Furthermore, mouse studies indicate that a number of these factors arise from maternal effect genes (MEGs). One of the identified MEG proteins, peptidylarginine deiminase 6, localizes to and is required for the formation of a poorly characterized, highly abundant cytoplasmic structure: the oocyte cytoplasmic lattices. Additionally, a number of other MEG-derived abundant proteins identified in our proteomic screens have been found by others to localize to another unique oocyte feature: the subcortical maternal complex. Based on these observations, we put forth the hypothesis that the mammalian oocyte contains several unique storage structures, which we have named maternal effect structures, that facilitate the oocyte-to-embryo transition.

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Year:  2010        PMID: 20106898     DOI: 10.1530/REP-09-0538

Source DB:  PubMed          Journal:  Reproduction        ISSN: 1470-1626            Impact factor:   3.906


  23 in total

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2.  Germ-Cell-Specific Inflammasome Component NLRP14 Negatively Regulates Cytosolic Nucleic Acid Sensing to Promote Fertilization.

Authors:  Takayuki Abe; Albert Lee; Ramaswami Sitharam; Jordan Kesner; Raul Rabadan; Sagi D Shapira
Journal:  Immunity       Date:  2017-04-18       Impact factor: 31.745

3.  Special nutrition in mouse developmental oocytes.

Authors:  Ling Yu; Shu-Fang Wang; Yuan-Qing Yao
Journal:  Exp Ther Med       Date:  2012-02-17       Impact factor: 2.447

4.  Inhibition of survivin induces spindle disorganization, chromosome misalignment, and DNA damage during mouse embryo development.

Authors:  Meng-Hao Pan; Jia-Qian Ju; Xiao-Han Li; Yi Xu; Jie-Dong Wang; Yan-Ping Ren; Xiang Lu; Shao-Chen Sun
Journal:  Cell Cycle       Date:  2020-07-20       Impact factor: 4.534

5.  Report of four new patients with protein-truncating mutations in C6orf221/KHDC3L and colocalization with NLRP7.

Authors:  Ramesh Reddy; Elie Akoury; Ngoc Minh Phuong Nguyen; Omar A Abdul-Rahman; Christine Dery; Neerja Gupta; William P Daley; Asangla Ao; Hanene Landolsi; Rosemary Ann Fisher; Isabelle Touitou; Rima Slim
Journal:  Eur J Hum Genet       Date:  2012-12-12       Impact factor: 4.246

Review 6.  Molecular changes during egg activation.

Authors:  Amber R Krauchunas; Mariana F Wolfner
Journal:  Curr Top Dev Biol       Date:  2013       Impact factor: 4.897

Review 7.  The maternal to zygotic transition in mammals.

Authors:  Lei Li; Xukun Lu; Jurrien Dean
Journal:  Mol Aspects Med       Date:  2013-01-23

8.  Developmental arrest and mouse antral not-surrounded nucleolus oocytes.

Authors:  Manuela Monti; Mario Zanoni; Alberto Calligaro; Minoru S H Ko; Pierluigi Mauri; Carlo Alberto Redi
Journal:  Biol Reprod       Date:  2013-01-03       Impact factor: 4.285

9.  Potential role of peptidylarginine deiminase enzymes and protein citrullination in cancer pathogenesis.

Authors:  Sunish Mohanan; Brian D Cherrington; Sachi Horibata; John L McElwee; Paul R Thompson; Scott A Coonrod
Journal:  Biochem Res Int       Date:  2012-09-16

10.  RNAi phenotypes are influenced by the genetic background of the injected strain.

Authors:  Peter Kitzmann; Jonas Schwirz; Christian Schmitt-Engel; Gregor Bucher
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

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