Literature DB >> 17477967

Embryology in the era of proteomics.

M G Katz-Jaffe1, D K Gardner.   

Abstract

Currently, relatively little is known regarding the protein production of mammalian embryos. Unlike the genome, the proteome itself is dynamic reflecting both internal and external environmental stimuli. Until now the lack of sensitivity has remained a stumbling block for the global introduction of proteomics into the field of mammalian embryology. However, new developments in mass spectrometry have been revolutionary, utilizing protein profiling and peptide sequencing to elucidate underlying biological processes. The sensitivity of these platforms have allowed for the development of new protocols that are capable of profiling the proteome of individual mammalian oocytes and embryos. This information is fundamental to unravelling the complexity of embryo physiology including the dialogue between the developing embryo and its maternal environment. Such proteomic approaches are also assisting in the optimization of ART techniques, including oocyte cryopreservation and in vitro maturation. Embryo selection for transfer is another area of ART that should benefit in this era of proteomics. Currently, mammalian embryos are selected for transfer based on morphological grading systems. Although of great value, analysis of morphology alone cannot determine the embryo's physiological state or chromosomal complement. Subsequently, there is a need to identify in culture those embryos with the highest implantation potential. Proteomic analysis of the embryonic secretome (proteins produced by the embryo and secreted into the surrounding medium) followed by the identification of specific proteins critical for implantation, may lead to the development of a non-invasive viability assay to assist in the selection of embryos for transfer.

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Year:  2007        PMID: 17477967     DOI: 10.1016/j.theriogenology.2007.03.014

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  6 in total

1.  Maternal enzyme masks the phenotype of mouse embryos lacking dihydrolipoamide dehydrogenase.

Authors:  Mark Johnson; Pa Vang; Jessica Filipovits; David Gardner
Journal:  Reprod Biomed Online       Date:  2009-07       Impact factor: 3.828

Review 2.  Metabolic control of oocyte development: linking maternal nutrition and reproductive outcomes.

Authors:  Ling Gu; Honglin Liu; Xi Gu; Christina Boots; Kelle H Moley; Qiang Wang
Journal:  Cell Mol Life Sci       Date:  2014-10-04       Impact factor: 9.261

3.  Expressed proteins and activated pathways in conditioned embryo culture media from IVF patients are diverse according to infertility factors.

Authors:  Tatiana Cs Bonetti; Debora Cm Haddad; Thais S Domingues; Jose Roberto Alegretti; Eduardo LA Motta; Kent Seeley; Ismael Dcg Silva
Journal:  JBRA Assist Reprod       Date:  2019-10-14

4.  An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data.

Authors:  Bo Huang; Wei Tan; Zhou Li; Lei Jin
Journal:  Reprod Biol Endocrinol       Date:  2021-12-13       Impact factor: 5.211

Review 5.  OMICS: Current and future perspectives in reproductive medicine and technology.

Authors:  Rocío Rivera Egea; Nicolás Garrido Puchalt; Marcos Meseguer Escrivá; Alex C Varghese
Journal:  J Hum Reprod Sci       Date:  2014-04

Review 6.  A Review of The Society for Assisted Reproductive Technology Embryo Grading System and Proposed Modification.

Authors:  Amjad Hossain; John Phelps; Ashok Agarwal; Eduardo Sanz; Maha Mahadevan
Journal:  Int J Fertil Steril       Date:  2016-06-01
  6 in total

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