Van Hoeck Veerle, Scolari Saara C, Pugliesi Guilherme, Gonella-Diaza Angela M, Andrade Sónia C S, Gasparin Gustavo R, Coutinho Luiz L, Binelli Mario
Laboratório de Fisiologia e Endocrinologia Molecular, Department of Animal Reproduction, FMVZ-USP, Pirassununga, Sao Paulo, Brazil.
Laboratório de Genética Animal, Departament of Animal Science, ESALQ-USP, Piracicaba, Sao Paulo, Brazil.
Genom Data. 2015 Jun 3;5:94-6. doi: 10.1016/j.gdata.2015.05.030. eCollection 2015 Sep.
The uterus plays a central role among the reproductive tissues in the context of early embryo-maternal communication and a successful pregnancy depends on a complex series of endometrial molecular and cellular events. The factors responsible for the initial interaction between maternal and embryonic tissues, leading to the establishment of pregnancy, remain poorly understood. In this context, Illumina's next-generation sequencing technology has been used to discover the uterine transcriptome signature that is favourable for ongoing pregnancy. More specifically, the present report documents on a retrospective in vivo study in which data on pregnancy outcome were linked to uterine gene expression signatures on day 6 (bovine model). Using the RNA-Seq method, 14.654 reference genes were effectively analysed for differential expression between pregnant and non-pregnant uterine tissue. Transcriptome data revealed that 216 genes were differently expressed when comparing uterine tissue from pregnant and non-pregnant cows. All read sequences were deposited in the Sequence Read Archive (SRA) of the NCBI (http://www.ncbi.nlm.nih.gov/sra). 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 GSE65117. This allows the research community to enhance reproducibility and allows for new discoveries by comparing datasets of signatures linked to receptivity and/or pregnancy success. The resulting information can serve as tool to identify valuable and urgently needed biomarkers for scoring maternal receptivity and even for accurate detection of early pregnancy, which is a matter of cross-species interest. Beyond gene expression analysis as a marker tool, the RNA-Seq information on pregnant uterine tissue can be used to gain novel mechanistic insights, such as by identifying alternative splicing events, allele-specific expression, and rare and novel transcripts that might be involved in the onset of maternal receptivity. This concept is unique and provides a new approach towards strategies that are highly needed to improve efficiency of fertility treatments.
在早期胚胎与母体的交流过程中，子宫在生殖组织中起着核心作用，成功怀孕取决于一系列复杂的子宫内膜分子和细胞事件。导致怀孕的母体与胚胎组织之间初始相互作用的因素仍知之甚少。在此背景下，Illumina的下一代测序技术已被用于发现有利于持续怀孕的子宫转录组特征。更具体地说，本报告记录了一项回顾性体内研究，其中将怀孕结果数据与第6天的子宫基因表达特征相关联（牛模型）。使用RNA-Seq方法，对14,654个参考基因进行了有效分析，以确定怀孕和未怀孕子宫组织之间的差异表达。转录组数据显示，比较怀孕和未怀孕母牛的子宫组织时，有216个基因表达不同。所有读取序列都存放在NCBI的序列读取存档（SRA）中（http://www.ncbi.nlm.nih.gov/sra）。基因表达数据的概述已存放在NCBI的基因表达综合数据库（GEO）中，可通过GEO系列登录号GSE65117访问。这使得研究界能够提高可重复性，并通过比较与接受性和/或怀孕成功相关的特征数据集来实现新的发现。所得信息可作为一种工具，用于识别评估母体接受性甚至准确检测早期怀孕的有价值且急需的生物标志物，这是一个跨物种关注的问题。除了将基因表达分析用作标记工具外，怀孕子宫组织的RNA-Seq信息还可用于获得新的机制见解，例如通过识别可变剪接事件、等位基因特异性表达以及可能参与母体接受性起始的罕见和新转录本。这一概念是独特的，并为提高生育治疗效率所需的策略提供了一种新方法。
