Literature DB >> 22074951

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

Signe Altmäe1, Jüri Reimand, Outi Hovatta, Pu Zhang, Juha Kere, Triin Laisk, Merli Saare, Maire Peters, Jaak Vilo, Anneli Stavreus-Evers, Andres Salumets.   

Abstract

A prerequisite for successful embryo implantation is adequate preparation of receptive endometrium and the establishment and maintenance of a viable embryo. The success of implantation further relies upon a two-way dialogue between the embryo and uterus. However, molecular bases of these preimplantation and implantation processes in humans are not well known. We performed genome expression analyses of human embryos (n = 128) and human endometria (n = 8). We integrated these data with protein-protein interactions in order to identify molecular networks within the endometrium and the embryo, and potential embryo-endometrium interactions at the time of implantation. For that, we applied a novel network profiling algorithm HyperModules, which combines topological module identification and functional enrichment analysis. We found a major wave of transcriptional down-regulation in preimplantation embryos. In receptive-stage endometrium, several genes and signaling pathways were identified, including JAK-STAT signaling and inflammatory pathways. The main curated embryo-endometrium interaction network highlighted the importance of cell adhesion molecules in the implantation process. We also identified cytokine-cytokine receptor interactions involved in implantation, where osteopontin (SPP1), leukemia inhibitory factor (LIF) and leptin (LEP) pathways were intertwining. Further, we identified a number of novel players in human embryo-endometrium interactions, such as apolipoprotein D (APOD), endothelin 1 (END1), fibroblast growth factor 7 (FGF7), gastrin (GAST), kringle containing trnasmembrane protein 1 (KREMEN1), neuropilin 1 (NRP1), serpin peptidase inhibitor clade A member 3 (SERPINA3), versican (VCAN), and others. Our findings provide a fundamental resource for better understanding of the genetic network that leads to successful embryo implantation. We demonstrate the first systems biology approach into the complex molecular network of the implantation process in humans.

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Year:  2011        PMID: 22074951      PMCID: PMC5417164          DOI: 10.1210/me.2011-1196

Source DB:  PubMed          Journal:  Mol Endocrinol        ISSN: 0888-8809


  99 in total

Review 1.  Potential biochemical markers of uterine receptivity.

Authors:  L C Giudice
Journal:  Hum Reprod       Date:  1999-12       Impact factor: 6.918

Review 2.  Adhesion molecules and the normal endometrium.

Authors:  Andrew W Horne; John O White; El-Nasir Lalani
Journal:  BJOG       Date:  2002-06       Impact factor: 6.531

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

Authors:  S Mirkin; M Arslan; D Churikov; A Corica; J I Diaz; S Williams; S Bocca; S Oehninger
Journal:  Hum Reprod       Date:  2005-05-05       Impact factor: 6.918

Review 4.  The science behind 25 years of ovarian stimulation for in vitro fertilization.

Authors:  Nick S Macklon; Richard L Stouffer; Linda C Giudice; Bart C J M Fauser
Journal:  Endocr Rev       Date:  2006-01-24       Impact factor: 19.871

5.  Integration of biological networks and gene expression data using Cytoscape.

Authors:  Melissa S Cline; Michael Smoot; Ethan Cerami; Allan Kuchinsky; Nerius Landys; Chris Workman; Rowan Christmas; Iliana Avila-Campilo; Michael Creech; Benjamin Gross; Kristina Hanspers; Ruth Isserlin; Ryan Kelley; Sarah Killcoyne; Samad Lotia; Steven Maere; John Morris; Keiichiro Ono; Vuk Pavlovic; Alexander R Pico; Aditya Vailaya; Peng-Liang Wang; Annette Adler; Bruce R Conklin; Leroy Hood; Martin Kuiper; Chris Sander; Ilya Schmulevich; Benno Schwikowski; Guy J Warner; Trey Ideker; Gary D Bader
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

Review 6.  Molecular complexity in establishing uterine receptivity and implantation.

Authors:  S Tranguch; T Daikoku; Y Guo; H Wang; S K Dey
Journal:  Cell Mol Life Sci       Date:  2005-09       Impact factor: 9.261

Review 7.  Clinical approaches to increasing uterine receptivity during human implantation.

Authors:  R G Edwards
Journal:  Hum Reprod       Date:  1995-12       Impact factor: 6.918

Review 8.  Conception to ongoing pregnancy: the 'black box' of early pregnancy loss.

Authors:  N S Macklon; J P M Geraedts; B C J M Fauser
Journal:  Hum Reprod Update       Date:  2002 Jul-Aug       Impact factor: 15.610

9.  Roles of Dickkopf-1 and its receptor Kremen1 during embryonic implantation in mice.

Authors:  Jing Li; Wei-Min Liu; Yu-Jing Cao; Sha Peng; Ying Zhang; En-Kui Duan
Journal:  Fertil Steril       Date:  2008-02-20       Impact factor: 7.329

Review 10.  Human trophoblast function during the implantation process.

Authors:  Elsebeth Staun-Ram; Eliezer Shalev
Journal:  Reprod Biol Endocrinol       Date:  2005-10-20       Impact factor: 5.211

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  36 in total

Review 1.  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

Review 2.  The evolution of embryo implantation.

Authors:  Michael R McGowen; Offer Erez; Roberto Romero; Derek E Wildman
Journal:  Int J Dev Biol       Date:  2014       Impact factor: 2.203

3.  Transcriptomic analysis of the interaction of choriocarcinoma spheroids with receptive vs. non-receptive endometrial epithelium cell lines: an in vitro model for human implantation.

Authors:  Paula Vergaro; Gustavo Tiscornia; Amelia Rodríguez; Josep Santaló; Rita Vassena
Journal:  J Assist Reprod Genet       Date:  2019-04-10       Impact factor: 3.412

4.  [Bioinformatics analysis of expression and function of EXD3 gene in gastric cancer].

Authors:  Dengzhong Sun; Mulin Liu; Fuxin Huang; Fuxin Huang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-02-28

5.  Evolutionary forward genomics reveals novel insights into the genes and pathways dysregulated in recurrent early pregnancy loss.

Authors:  Gülüm Kosova; Mary D Stephenson; Vincent J Lynch; Carole Ober
Journal:  Hum Reprod       Date:  2015-01-12       Impact factor: 6.918

6.  Induction of 11β-HSD 1 and activation of distinct mineralocorticoid receptor- and glucocorticoid receptor-dependent gene networks in decidualizing human endometrial stromal cells.

Authors:  Keiji Kuroda; Radha Venkatakrishnan; Madhuri S Salker; Emma S Lucas; Fozia Shaheen; Masako Kuroda; Andrew Blanks; Mark Christian; Siobhan Quenby; Jan J Brosens
Journal:  Mol Endocrinol       Date:  2012-12-28

7.  A novel role of follicle-stimulating hormone (FSH) in various regeneration-related functions of endometrial stem cells.

Authors:  Se-Ra Park; Soo-Rim Kim; Seong-Kwan Kim; Jeong-Ran Park; In-Sun Hong
Journal:  Exp Mol Med       Date:  2022-09-18       Impact factor: 12.153

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.  Trophoblast derived extracellular vesicles specifically alter the transcriptome of endometrial cells and may constitute a critical component of embryo-maternal communication.

Authors:  Kasun Godakumara; James Ord; Freddy Lättekivi; Keerthie Dissanayake; Janeli Viil; Nageswara Rao Boggavarapu; Omid R Faridani; Kersti Jääger; Agne Velthut-Meikas; Ülle Jaakma; Andres Salumets; Alireza Fazeli
Journal:  Reprod Biol Endocrinol       Date:  2021-07-21       Impact factor: 5.211

10.  Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.

Authors:  Jüri Reimand; Gary D Bader
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

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