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通过转录组学和基于抗体的分析确定的人类子宫内膜特异性蛋白质组

The Human Endometrium-Specific Proteome Defined by Transcriptomics and Antibody-Based Profiling.

作者信息

Zieba Agata, Sjöstedt Evelina, Olovsson Matts, Fagerberg Linn, Hallström Björn M, Oskarsson Linda, Edlund Karolina, Tolf Anna, Uhlen Mathias, Ponten Fredrik

机构信息

1 Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University , Uppsala, Sweden .

2 Science for Life Laboratory, KTH-Royal Institute of Technology , Stockholm, Sweden .

出版信息

OMICS. 2015 Nov;19(11):659-68. doi: 10.1089/omi.2015.0115. Epub 2015 Oct 21.

DOI:10.1089/omi.2015.0115
PMID:26488136
Abstract

The human uterus includes the complex endometrial mucosa, the endometrium that undergoes dynamic, hormone-dependent alterations throughout the life of fertile females. Here we have combined a genome-wide transcriptomics analysis with immunohistochemistry-based protein profiling to analyze gene expression patterns in the normal endometrium. Human endometrial tissues from five women were used for deep sequencing (RNA-Seq). The mRNA and protein expression data from the endometrium were compared to 31 (RNA) and 44 (protein) other normal tissue types, to identify genes with elevated expression in the endometrium and to localize the expression of corresponding proteins at a cellular resolution. Based on the expression levels of transcripts, we could classify all putative human protein coding genes into categories defined by expression patterns and found altogether 101 genes that showed an elevated pattern of expression in the endometrium, with only four genes showing more than five-fold higher expression levels in the endometrium compared to other tissues. In conclusion, our analysis based on transcriptomics and antibody-based protein profiling reports here comprehensive lists of genes with elevated expression levels in the endometrium, providing important starting points for a better molecular understanding of human reproductive biology and disease.

摘要

人类子宫包括复杂的子宫内膜黏膜,即子宫内膜,在育龄女性的一生中,它会经历动态的、激素依赖性的变化。在这里,我们将全基因组转录组学分析与基于免疫组织化学的蛋白质分析相结合,以分析正常子宫内膜中的基因表达模式。使用来自五名女性的人类子宫内膜组织进行深度测序(RNA测序)。将子宫内膜的mRNA和蛋白质表达数据与31种(RNA)和44种(蛋白质)其他正常组织类型进行比较,以鉴定在子宫内膜中表达升高的基因,并在细胞分辨率下定位相应蛋白质的表达。根据转录本的表达水平,我们可以将所有推定的人类蛋白质编码基因分类为根据表达模式定义的类别,并总共发现了101个在子宫内膜中显示出升高表达模式的基因,与其他组织相比,只有四个基因在子宫内膜中的表达水平高出五倍以上。总之,我们基于转录组学和基于抗体的蛋白质分析的分析报告了子宫内膜中表达水平升高的基因的综合列表,为更好地从分子水平理解人类生殖生物学和疾病提供了重要的起点。

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