Endometrial transcriptional profiling of a bovine fertility model by Next-Generation Sequencing

Authors :: Veerle Van Hoeck
Guilherme Pugliesi
Sónia C. S. Andrade
M. L. Oliveira
Luiz Lehmann Coutinho
Lidia Hildebrand Pulz
Mario Binelli
G. Gasparin
Angela Maria Gonella-Diaza
Heidge Fukumasu
R. S. Ramos
Fernando Silveira Mesquita
A. Langbeen
C.M. Membrive
Univ Fed Pampa
Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Univ Antwerp
Source :: Genomics Data, Vol 7, Iss, Pp 26-28 (2016), Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP, Genomics Data, Web of Science, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP
Publication Year :: 2016
Publisher :: Elsevier, 2016.
Abstract: Made available in DSpace on 2018-11-26T17:55:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-03-01 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 (

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