Genome-based expression profiling as a single standardized microarray platform for the diagnosis of endometrial disorder: an array of 126-gene model

Transcriptomics of the human endometrium

“…With these types of analyses, the similarities of the various types of samples can be detected based on their transcriptomic profiles or signatures. In all the studies conducted (Riesewijk et al, 2003;Ponnampalam et al, 2004;Talbi et al, 2006;Tseng et al, 2010;Critchley et al, 2006;Diaz-Gimeno et al, 2011, samples clearly group according to the stage to which they belong. In general, the phase assignment is made based on previous histological dating in these studies, and is usually performed by at least two independent pathologists .…”

“…Overexpressed processes included coagulation cascades and complex metabolism, including carbohydrates, glucose, lipids, cofactors, vitamins, xenobiotics, and amino acids, all of them suggesting that extracellular remodelling activity may occur in the mid-secretory phase (Tseng et al, 2010).…”

“…In the transition from the mid-to the late-secretory phase, changes in the extracellular matrix and cytoskeleton favour processes such as vasoconstriction, smooth muscle contraction, haemostasis, and the transition from an immune to an inflammatory response (Critchley et al, 2001;Tseng et al, 2010). The genes that are regulated in this transition mostly relate to innate or humoral and cellular immune responses (Talbi et al, 2006), haemostasis, blood coagulation, steroid biosynthesis, and prostaglandin metabolism (Critchley et al, 2001).…”

“…For example, Bourgain's group, performed network analysis on differentially expressed genes to reveal 30 networks involved in implantation (van Vaerenbergh et al, 2010) and Altmäe et al, described the complex molecular network of the implantation process in humans in which embryonic and endometrial transcriptomic profiles were integrated with protein-protein interactions (Altmäe et al, 2012). Nevertheless, this new systems approach must still be further developed in order to integrate and mathematically model the data so that information about functional genomics in normal and disease endometrial physiology can be deduced (Wang et al, 2010).…”

Endometrial receptivity to embryo implantation: molecular cues from functional genomics

“…This tool denominated Endometrial Receptivity Array (ERA) assesses the transcriptomic signature defined by 134 genes related to endometrial receptivity, becoming specific for uterine function evaluation. Other study recently published (Tseng et al, 2010), analyzing gene expression profiles of endometrial biopsies and using hierarchical cluster analysis described a 123-gene model for endometrial function with transcripts up-regulated at mid-secretory phase, moderately expressed at latesecretary phase, and down-regulated at late-secretory phase.…”