title: Endometrial transcriptional profiling of a bovine fertility model by Next-Generation Sequencing.
abstract: Studying the multitude of molecular networks and pathways that are potentially involved in a complex trait such as fertility requires an equally complex and broad strategy. Here, we used Next-Generation Sequencing for the characterization of the transcriptional signature of the bovine endometrial tissue. Periovulatory endocrine environments were manipulated to generate two distinctly different fertility phenotypes. Cycling, non-lactating, multiparous Nelore cows were manipulated to ovulate larger (> 13 mm; LF group; high fertility phenotype) or smaller (< 12 mm; SF group) follicles. As a result, greater proestrus estrogen concentrations, corpora lutea and early diestrus progesterone concentrations were also observed in LF group in comparison to SF group. Endometrial cell proliferation was estimated by the protein marker MKI67 on tissues collected 4 (D4) and 7 (D7) days after induction of ovulation. Total RNA extracts from D7 were sequenced and compared according to the transcriptional profile of each experimental group (LF versus SF). Functional enrichment analysis revealed that LF and SF endometria were asynchronous in regards to their phenotype manifestation. Major findings indicated an LF endometrium that was switching phenotypes earlier than the SF one. More specifically, a proliferating SF endometrium was observed on D7, whereas the LF tissue, which expressed a proliferative phenotype earlier at D4, seemed to have already shifted towards a biosynthetically and metabolically active endometrium on D7. Data on MKI67 support the transcriptomic results. RNA-Seq-derived transcriptional profile of the endometrial tissue indicated a temporal effect of the periovulatory endocrine environment, suggesting that the moment of the endometrial exposure to the ovarian steroids, E2 and P4, regulates the timing of phenotype manifestation. Gene expression profiling revealed molecules that may be targeted to elucidate ovarian steroid-dependent mechanisms that regulate endometrial tissue receptivity. Data was deposited in the SRA database from NCBI (SRA Experiment SRP051330) and are associated with the Bio-Project (PRJNA270391). An overview of the gene expression data has been deposited in NCBI's Gene Expression Omnibus (GEO) and is accessible through GEO Series accession number GSE65450. Further assessment of the data in combination with other data sets exploring the transcriptional profile of the endometrial tissue during early diestrus may potentially identify novel molecular mechanisms and/or markers of the uterine receptivity.
authors.affiliation: Universidade Federal do Pampa, Curso de Medicina Veterinária, Uruguaiana, RS, Brazil.
authors.forename: F S
authors.initials: FS
authors.lastname: Mesquita
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil.
authors.forename: R S
authors.initials: RS
authors.lastname: Ramos
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil.
authors.forename: G
authors.initials: G
authors.lastname: Pugliesi
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil; Universidade de São Paulo, Escola Superior de Agricultura "Luiz de Queiroz", Departamento de Zootecnia, Piracicaba, SP, Brazil.
authors.forename: S C S
authors.initials: SC
authors.lastname: Andrade
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil.
authors.forename: V
authors.initials: V
authors.lastname: Van Hoeck
authors.affiliation: University of Antwerp, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, Wilrijk, Belgium.
authors.forename: A
authors.initials: A
authors.lastname: Langbeen
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil.
authors.forename: M L
authors.initials: ML
authors.lastname: Oliveira
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil.
authors.forename: A M
authors.initials: AM
authors.lastname: Gonella-Diaza
authors.affiliation: Universidade de São Paulo, Escola Superior de Agricultura "Luiz de Queiroz", Departamento de Zootecnia, Piracicaba, SP, Brazil.
authors.forename: G
authors.initials: G
authors.lastname: Gasparin
authors.affiliation: Universidade de São Paulo, Faculdade de Zootecnia e Engenharia de Alimentos, Pirassununga, SP, Brazil.
authors.forename: H
authors.initials: H
authors.lastname: Fukumasu
authors.affiliation: Universidade de São Paulo, Faculdade de Zootecnia e Engenharia de Alimentos, Pirassununga, SP, Brazil.
authors.forename: L H
authors.initials: LH
authors.lastname: Pulz
authors.affiliation: Universidade Estadual Paulista "Júlio de Mesquita Filho", Campus Experimental de Dracena, Dracena, SP, Brazil.
authors.forename: C M
authors.initials: CM
authors.lastname: Membrive
authors.affiliation: Universidade de São Paulo, Escola Superior de Agricultura "Luiz de Queiroz", Departamento de Zootecnia, Piracicaba, SP, Brazil.
authors.forename: L L
authors.initials: LL
authors.lastname: Coutinho
authors.affiliation: Universidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Reprodução Animal, Pirassununga, SP, Brazil.
authors.forename: M
authors.initials: M
authors.lastname: Binelli
keywords: Bovine; Endometrium; Follicle; Ovarian steroids; Transcriptomic