Literature DB >> 18040982

Marked correlations in protein expression identified by proteomic analysis of human spermatozoa.

Sara de Mateo1, Juan Martínez-Heredia, Josep Maria Estanyol, David Domínguez-Fandos, David Domíguez-Fandos, José Manuel Vidal-Taboada, José Luis Ballescà, Rafael Oliva.   

Abstract

The present work was started to explore whether a correlation could be detected among proteomic expression, protamine content and DNA integrity in human sperm cells. Towards this goal, we extracted the proteins present in the sperm cells from 47 sperm samples from infertile patients and from ten semen donors, analysed each sample by 2-D gel electrophoresis, and quantified the expression of 101 spots identified by MALDI-TOF analysis. Additionally, the protamine content and DNA integrity were also determined. Several interesting proteins such as transcription factors, prohibitin, heat shock and proteasome proteins have been identified. We have found that the expression of an important number of proteins (58 different 2-D spots) is correlated in independent sperm samples at high statistical significance (p<0.001 and r>0.5). Additionally, eight proteins have also been found to correlate with DNA integrity and seven with protamine content (p<0.05). To our knowledge, this is the first report describing the correlation between proteomics, DNA integrity and protamine content. It also sheds new light into the fundamental aspects of the human sperm and points to new potential proteins involved in male infertility.

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Year:  2007        PMID: 18040982     DOI: 10.1002/pmic.200700521

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


  29 in total

1.  Stable-protein Pair Analysis as A Novel Strategy to Identify Proteomic Signatures: Application To Seminal Plasma From Infertile Patients.

Authors:  Ferran Barrachina; Meritxell Jodar; David Delgado-Dueñas; Ada Soler-Ventura; Josep Maria Estanyol; Carme Mallofré; Josep Lluís Ballescà; Rafael Oliva
Journal:  Mol Cell Proteomics       Date:  2018-12-05       Impact factor: 5.911

Review 2.  Testicular postgenomics: targeting the regulation of spermatogenesis.

Authors:  Pierre Calvel; Antoine D Rolland; Bernard Jégou; Charles Pineau
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-27       Impact factor: 6.237

Review 3.  The 'omics revolution and our understanding of sperm cell biology.

Authors:  Mark A Baker
Journal:  Asian J Androl       Date:  2010-10-25       Impact factor: 3.285

Review 4.  Proteomics and the genetics of sperm chromatin condensation.

Authors:  Rafael Oliva; Judit Castillo
Journal:  Asian J Androl       Date:  2010-11-01       Impact factor: 3.285

Review 5.  Sperm chromatin: fertile grounds for proteomic discovery of clinical tools.

Authors:  Tammy F Wu; Diana S Chu
Journal:  Mol Cell Proteomics       Date:  2008-05-25       Impact factor: 5.911

6.  Study of the effect of varicocelectomy on sperm proteins expression in patients with varicocele and poor sperm quality by using two-dimensional gel electrophoresis.

Authors:  Hani Hosseinifar; Marjan Sabbaghian; Davood Nasrabadi; Tahereh Modarresi; Ahmad Vosough Taqi Dizaj; Hamid Gourabi; Mohmmad Ali Sadighi Gilani
Journal:  J Assist Reprod Genet       Date:  2014-04-24       Impact factor: 3.412

Review 7.  Analysing the sperm epigenome: roles in early embryogenesis and assisted reproduction.

Authors:  Undraga Schagdarsurengin; Agnieszka Paradowska; Klaus Steger
Journal:  Nat Rev Urol       Date:  2012-10-09       Impact factor: 14.432

8.  Protein tyrosine phosphatase non-receptor type 14 is a novel sperm-motility biomarker.

Authors:  Hsin-Chih Albert Chao; Chia-Ling Chung; Hsien-An Pan; Pao-Chi Liao; Pao-Lin Kuo; Chao-Chin Hsu
Journal:  J Assist Reprod Genet       Date:  2011-06-24       Impact factor: 3.412

Review 9.  A multi-faceted approach to understanding male infertility: gene mutations, molecular defects and assisted reproductive techniques (ART).

Authors:  Eisa Tahmasbpour; Dheepa Balasubramanian; Ashok Agarwal
Journal:  J Assist Reprod Genet       Date:  2014-08-13       Impact factor: 3.412

Review 10.  The Use of Proteomics in Assisted Reproduction.

Authors:  Ioanna Kosteria; Athanasios K Anagnostopoulos; Christina Kanaka-Gantenbein; George P Chrousos; George T Tsangaris
Journal:  In Vivo       Date:  2017 May-Jun       Impact factor: 2.155

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