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Single-cell transcriptomics of the human placenta: inferring the cell communication network of the maternal-fetal interface

ABSTRACT: Organismal function is, to a great extent, determined by interactions among their fundamental building blocks, the cells. In?this work, we studied the cell-cell interactome of fetal placental trophoblast cells and maternal endometrial stromal cells, using single-cell transcriptomics. The placental interface mediates the interaction between two semiallogenic individuals, the mother and the fetus, and is thus the epitome of cell interactions. To study these, we inferred the cell-cell interactome? by assessing the gene expression of receptor-ligand pairs across cell types. Moreover, we find that the expression of G-protein coupled receptors is highly cell-type?specific, implying that ligand-receptor profiles could be a reliable tool for cell type identification. Furthermore, we find that uterine decidual cells represent a cell-cell interaction hub with a relatively large?number of potential incoming and outgoing signals. Decidual cells differentiate from their precursors, the endometrial stromal fibroblasts, during uterine preparation for pregnancy. We show that decidualization (even in vitro) enhances the ability ?to communicate with the fetus, as most of the receptors and ligands up-regulated during decidualization have their counterpart expressed in trophoblast cells. Among the signals transmitted, growth factors and immune signals dominate, suggesting a delicate balance of enhancing and suppressive signals. Finally, this study provides a rich resource of gene ?expression profiles of term intravillous and extravillous trophoblasts, including the transcriptome of the multinucleated syncytiotrophoblast.

ORGANISM(S): Homo sapiens

PROVIDER: GSE87692 | GEO | 2017/01/25

SECONDARY ACCESSION(S): PRJNA345561

REPOSITORIES: GEO

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Project description:Uterine receptivity implies a dialogue between the hormonally primed maternal endometrium and the free-floating blastocyst. Endometrial stromal cells proliferate, avert apoptosis, and undergo decidualization in preparation for implantation; however, the molecular mechanisms that underlie differentiation into the decidual phenotype remain largely undefined. The Notch family of transmembrane receptors transduce extracellular signals responsible for cell survival, cell-to-cell communication, and trans-differentiation, all fundamental processes for decidualization and pregnancy. Using a murine artificial decidualization model, pharmacological inhibition of Notch signaling by gamma-secretase inhibition resulted in significantly decreased deciduoma. Furthermore, a progesterone receptor (PR)-Cre Notch1 bigenic (Notch1d/d) confirmed a Notch1-dependant hypomorphic decidual phenotype. Microarray and pathway analysis, following Notch1 ablation, demonstrated significantly altered signaling repertoire. Concomitantly, hierarchical clustering demonstrated Notch1-dependent differences in gene expression. Uteri deprived of Notch1 signaling demonstrated decreased cellular proliferation; namely, reduced proliferation-specific antigen, Ki67, altered p21, cdk6, and cyclinD activity, and increased apoptotic-profile, augmented cleaved caspase-3, Bad, and attenuated Bcl2. Demonstrated here, the pre-implantation uterus relies on Notch signaling to inhibit apoptosis of stromal fibroblasts and regulate cell cycle progression, which together promotes successful decidualization. In summary, Notch1 signaling modulates multiple signaling mechanisms crucial for decidualization and we provide greater perspective to the coordination of multiple signaling modalities required during decidualization RNA samples from 3-5 separate mice were extracted. All mRNA quantities were normalized against 18S gene expression. Gene expression levels were measured by real-time RT-PCR SYBR Green analysis using the ABI Prism 7700 Sequence Detector System according to manufacturer’s instructions (Applied Biosystems).

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Single-cell transcriptomics of the human placenta: inferring the cell communication network of the maternal-fetal interface

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