Literature DB >> 18367176

Microarray analysis in sperm from fertile and infertile men without basic sperm analysis abnormalities reveals a significantly different transcriptome.

N Garrido1, J A Martínez-Conejero, J Jauregui, J A Horcajadas, C Simón, J Remohí, M Meseguer.   

Abstract

Sperm analysis following World Health Organization guidelines is unable to explain the molecular causes of male infertility when basic sperm parameters are within a normal range and women do not present gynecologic pathology. Consequently, there is a need for accurate diagnostic tools in this area, and microarray technology emerges as promising. We present, for the first time, preliminary results of a comparison of sperm mRNA expression profiles between fertile and infertile men with normal semen parameters, discovering profound discrepancies between groups, with potential diagnostic and therapeutic possibilities.

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Year:  2008        PMID: 18367176     DOI: 10.1016/j.fertnstert.2008.01.078

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  26 in total

Review 1.  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 2.  Confrontation, Consolidation, and Recognition: The Oocyte's Perspective on the Incoming Sperm.

Authors:  David Miller
Journal:  Cold Spring Harb Perspect Med       Date:  2015-05-08       Impact factor: 6.915

3.  Absence of sperm RNA elements correlates with idiopathic male infertility.

Authors:  Meritxell Jodar; Edward Sendler; Sergey I Moskovtsev; Clifford L Librach; Robert Goodrich; Sonja Swanson; Russ Hauser; Michael P Diamond; Stephen A Krawetz
Journal:  Sci Transl Med       Date:  2015-07-08       Impact factor: 17.956

4.  Ontological evaluation of transcriptional differences between sperm of infertile males and fertile donors using microarray analysis.

Authors:  Sandra García-Herrero; Nicolás Garrido; José Antonio Martínez-Conejero; José Remohí; Antonio Pellicer; Marcos Meseguer
Journal:  J Assist Reprod Genet       Date:  2010-02-02       Impact factor: 3.412

5.  Obstetric and perinatal outcome of babies born from sperm selected by MACS from a randomized controlled trial.

Authors:  Laura Romany; Nicolas Garrido; Ana Cobo; Belen Aparicio-Ruiz; Vicente Serra; Marcos Meseguer
Journal:  J Assist Reprod Genet       Date:  2016-11-23       Impact factor: 3.412

Review 6.  The use of genomics, proteomics, and metabolomics in identifying biomarkers of male infertility.

Authors:  Jason R Kovac; Alexander W Pastuszak; Dolores J Lamb
Journal:  Fertil Steril       Date:  2013-02-15       Impact factor: 7.329

7.  The role of Dby mRNA in early development of male mouse zygotes.

Authors:  Chen-Jiang Yao; Wang-Jie Xu; Xiu-Li Gong; Ying Zhou; Zhi-Qiang Yan; Zi-Jue Zhu; Zhao-Xia Wang; Qiao-Li Li; Xin-Bin Guo; Lian-Yun Wang; Duan Ma; Zhong-Dong Qiao
Journal:  Asian J Androl       Date:  2010-06-14       Impact factor: 3.285

Review 8.  The presence, role and clinical use of spermatozoal RNAs.

Authors:  Meritxell Jodar; Sellappan Selvaraju; Edward Sendler; Michael P Diamond; Stephen A Krawetz
Journal:  Hum Reprod Update       Date:  2013-07-14       Impact factor: 15.610

9.  High quality RNA in semen and sperm: isolation, analysis and potential application in clinical testing.

Authors:  Andrew P Georgiadis; Archana Kishore; Michelle Zorrilla; Thomas M Jaffe; Joseph S Sanfilippo; Etta Volk; Aleksandar Rajkovic; Alexander N Yatsenko
Journal:  J Urol       Date:  2014-08-01       Impact factor: 7.450

Review 10.  Male Reproductive Disorders and Fertility Trends: Influences of Environment and Genetic Susceptibility.

Authors:  Niels E Skakkebaek; Ewa Rajpert-De Meyts; Germaine M Buck Louis; Jorma Toppari; Anna-Maria Andersson; Michael L Eisenberg; Tina Kold Jensen; Niels Jørgensen; Shanna H Swan; Katherine J Sapra; Søren Ziebe; Lærke Priskorn; Anders Juul
Journal:  Physiol Rev       Date:  2016-01       Impact factor: 37.312

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