IMR Press / FBL / Volume 21 / Issue 3 / DOI: 10.2741/4410

Frontiers in Bioscience-Landmark (FBL) is published by IMR Press from Volume 26 Issue 5 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement with Frontiers in Bioscience.

Open Access Article

Early protein profile of human embryonic secretome

Show Less
1 University of Padova, Department of Medicine & Andrology and Reproductive Medicine Unit, 35128, Padova, Italy
2 Genera Centre, 00197, Roma, Italy
3 University of Padova, Department of Biomedical Science, 35131, Padova, Italy
4 Proteomics Center of Padova University, 35128, Padova, Italy
5 DAFNAE, University of Padova, 35020, Legnaro (PD), Italy
6 University of Padova, Department of Molecular Medicine, 35121, Padova, Italy
Academic Editor:Matteo Fassan
Front. Biosci. (Landmark Ed) 2016, 21(3), 620–634; https://doi.org/10.2741/4410
Published: 1 January 2016
(This article belongs to the Special Issue The post-genomic revolution in diagnostic pathology)
Abstract

Embryos obtained by in vitro fertilization are currently assessed by morphology, but displays limitations with over 70% of embryos failing to implant. In this study, we performed HPLC-MS/MS analysis on the conditioned medium obtained from 50 human embryos at the 3rd day of in vitro culture. 70 proteins were identified in the medium of 48 embryos. Validation by protein array on two pools of 11 and 9 conditioned media, showed a protein pattern overlap with HPLC-MS/MS of respectively 72% and 78%. Unsupervised hierarchical cluster analysis on protein spectra, allowed to divide embryos into 3 clusters. The first cluster selectively lacked of proteins involved in programmed cell death. The third cluster was devoid of proteins involved in cell development. Embryos taking the shortest time to develop into 5 cell morulas, featuring lower implantation rate, significantly segregated in the third cluster (P=0.047). Multiple linear regression analysis, identified 12 predictive proteins for transfer success (P<0.0.5). Proteomics of embryo secretome aids in understanding embryo physiology and in improving assisted reproductive technology.

Keywords
Embryo Transfer
Proteomics
Morphology
Assisted Reproductive Technology
Share
Back to top