The Human Endometrium-Specific Proteome Defined by Transcriptomics and Antibody-Based Profiling
2015 (English)In: Omics, ISSN 1536-2310, E-ISSN 1557-8100, Vol. 19, no 11, 659-668 p.Article in journal (Refereed) PublishedText
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.
Place, publisher, year, edition, pages
Mary Ann Liebert, 2015. Vol. 19, no 11, 659-668 p.
messenger RNA, proteome, adult, antibody based profiling, Article, endometrium, female, gene expression, gene expression profiling, gene identification, genetic procedures, genome analysis, human, human tissue, immunohistochemistry, priority journal, protein expression, RNA sequence, transcriptomics
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy) Genetics
IdentifiersURN: urn:nbn:se:kth:diva-181225DOI: 10.1089/omi.2015.0115ISI: 000364547500001ScopusID: 2-s2.0-84947058693OAI: oai:DiVA.org:kth-181225DiVA: diva2:904332
QC 201602182016-02-182016-01-292016-02-18Bibliographically approved