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Boolean network approach to modeling estrogen and progesterone signaling in the endometrium (911.11)
Author(s) -
Wolf Victoria,
Pruett William,
Hester Robert
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.911.11
Subject(s) - endometrium , estrogen , menstruation , menstrual cycle , progesterone receptor , medicine , endocrinology , hormone , estrogen receptor , biology , cancer , breast cancer
The uterine endometrium undergoes cyclical phases of cell proliferation, cell differentiation, and menstruation under the influence of the ovarian hormones, estrogen and progesterone. Since the data necessary to create a classical kinetic model of these signaling pathways is lacking, we used a Boolean network approach that includes the influences of various growth factors and the differential expression of their receptors under the influence of estrogen and progesterone. Growth of the endometrium cell populations is determined by conversion of the Boolean network to continuous ordinary differential equations. Results show a gain in endometrial tissue and loss of tissue during menstruation that mirrors what can be expected over the course of a normal menstrual cycle in women, where the endometrium typically reaches a thickness of approximately 10 mm. The Figure shows a simulation of 90 days with the cyclical variation in endometrium thickness (Fig. 1b) under the influence of estrogen and progesterone (Fig. 1a). We have provided a framework for the determination of uterine receptivity during implantation. This Boolean network framework represents a significant first step in modeling normal and pathophysiological events of pregnancy.Grant Funding Source : Supported by the National Science Foundation under Grant No. NSF EPS‐0903787 and NIH 51971