Ontology highlight
ABSTRACT: Problem
Decidual immune dysregulation is thought to underlie major pregnancy disorders; however, incomplete understanding of the decidual immune interface has hampered the mechanistic investigation.Method of study
Human term decidua was collected, and single-cell phenotypic information was acquired by highly polychromatic flow cytometry. Cellular identity analysis was performed with t-distributed stochastic neighbor embedding, DensVM clustering, and matched to CellOntology database.Results
Traditional analytical methods validated known cellular T and dendritic cell subsets in human term decidua. Computational analysis revealed a complex and tissue-specific decidual immune signature in both the innate and adaptive immune compartments.Conclusion
Polychromatic flow cytometry with a streamlined computational analysis pipeline is a feasible approach to comprehensive immunome mapping of human term decidua. As an unbiased, standardized method of investigation, computational flow cytometry promises to unravel the immune pathology of pregnancy disorders.
SUBMITTER: Vazquez J
PROVIDER: S-EPMC5725254 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Vazquez Jessica J Chavarria Melina M Li Yan Y Lopez Gladys E GE Stanic Aleksandar K AK
American journal of reproductive immunology (New York, N.Y. : 1989) 20171014 1
<h4>Problem</h4>Decidual immune dysregulation is thought to underlie major pregnancy disorders; however, incomplete understanding of the decidual immune interface has hampered the mechanistic investigation.<h4>Method of study</h4>Human term decidua was collected, and single-cell phenotypic information was acquired by highly polychromatic flow cytometry. Cellular identity analysis was performed with t-distributed stochastic neighbor embedding, DensVM clustering, and matched to CellOntology databa ...[more]