Literature DB >> 15878921

In search of candidate genes critically expressed in the human endometrium during the window of implantation.

S Mirkin1, M Arslan, D Churikov, A Corica, J I Diaz, S Williams, S Bocca, S Oehninger.   

Abstract

BACKGROUND: In this prospective randomized blinded clinical trial, we examined gene expression profiles of the human endometrium during the early and mid-luteal phases of the natural cycle.
METHODS: An endometrial biopsy was performed on day 16 (LH +3) or on day 21 (LH +8), followed by RNA extraction and microarray analysis using an Affymetrix HG-U95A microchip. Data analysis was carried out using pairwise multiple group comparison with the significance analysis of microarrays (SAM) software.
RESULTS: With a false discovery rate of 0, the analysis revealed that 107 genes were significantly and differently expressed (> or =2-fold) during the early versus the mid-luteal phase of the cycle. Forty-five of these genes have not been previously linked to endometrial receptivity. Validation of the microarray data was accomplished using semiquantitative RT-PCR. We demonstrated the presence of estrogen and progesterone response elements (ERE and PRE) by analysis of the 5'-flanking regions of a subset of differentially regulated genes.
CONCLUSIONS: Using a strict bioinformatics approach of microarray data, we demonstrated significant changes in candidate genes during the transition of the early to the mid-luteal phase of the human endometrium that may have functional significance for the opening and maintenance of the window of implantation.

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Year:  2005        PMID: 15878921     DOI: 10.1093/humrep/dei051

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  55 in total

1.  Research resource: interactome of human embryo implantation: identification of gene expression pathways, regulation, and integrated regulatory networks.

Authors:  Signe Altmäe; Jüri Reimand; Outi Hovatta; Pu Zhang; Juha Kere; Triin Laisk; Merli Saare; Maire Peters; Jaak Vilo; Anneli Stavreus-Evers; Andres Salumets
Journal:  Mol Endocrinol       Date:  2011-11-10

Review 2.  Role of nuclear receptors in blastocyst implantation.

Authors:  Y M Vasquez; F J DeMayo
Journal:  Semin Cell Dev Biol       Date:  2013-08-28       Impact factor: 7.727

3.  Prokineticin 1 signaling and gene regulation in early human pregnancy.

Authors:  Jemma Evans; Rob D Catalano; Kevin Morgan; Hilary O D Critchley; Robert P Millar; Henry N Jabbour
Journal:  Endocrinology       Date:  2008-03-13       Impact factor: 4.736

Review 4.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

5.  Nuclear pore complex proteins mark the implantation window in human endometrium.

Authors:  Elisa Guffanti; Nupur Kittur; Z Nilly Brodt; Alex J Polotsky; Satu M Kuokkanen; Debra S Heller; Steven L Young; Nanette Santoro; U Thomas Meier
Journal:  J Cell Sci       Date:  2008-05-27       Impact factor: 5.285

6.  Proteomic analysis of endometrium from fertile and infertile patients suggests a role for apolipoprotein A-I in embryo implantation failure and endometriosis.

Authors:  Jan J Brosens; Andrea Hodgetts; Fahkera Feroze-Zaidi; J Robert A Sherwin; Luca Fusi; Madhuri S Salker; Jenny Higham; Gillian L Rose; Takeshi Kajihara; Steven L Young; Bruce A Lessey; Patrick Henriet; Paul R Langford; Asgerally T Fazleabas
Journal:  Mol Hum Reprod       Date:  2009-12-14       Impact factor: 4.025

Review 7.  The role of inflammation for a successful implantation.

Authors:  Nava Dekel; Yulia Gnainsky; Irit Granot; Karen Racicot; Gil Mor
Journal:  Am J Reprod Immunol       Date:  2014-05-09       Impact factor: 3.886

8.  MicroRNAs miR-30b, miR-30d, and miR-494 regulate human endometrial receptivity.

Authors:  Signe Altmäe; Jose A Martinez-Conejero; Francisco J Esteban; Maria Ruiz-Alonso; Anneli Stavreus-Evers; Jose A Horcajadas; Andres Salumets
Journal:  Reprod Sci       Date:  2012-08-17       Impact factor: 3.060

9.  Candidate gene prioritization by network analysis of differential expression using machine learning approaches.

Authors:  Daniela Nitsch; Joana P Gonçalves; Fabian Ojeda; Bart de Moor; Yves Moreau
Journal:  BMC Bioinformatics       Date:  2010-09-14       Impact factor: 3.169

10.  Genes targeted by the estrogen and progesterone receptors in the human endometrial cell lines HEC1A and RL95-2.

Authors:  Karin Tamm; Miia Rõõm; Andres Salumets; Madis Metsis
Journal:  Reprod Biol Endocrinol       Date:  2009-12-24       Impact factor: 5.211

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