Browsing by Author "Peyvandipour, Azam"

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    A single-cell atlas of murine reproductive tissues during preterm labor
    (2023) Garcia-Flores, Valeria; Romero, Roberto; Peyvandipour, Azam; Galaz, Jose; Pusod, Errile; Panaitescu, Bogdan; Miller, Derek; Xu, Yi; Tao, Li; Liu, Zhenjie; Tarca, Adi L.; Pique-Regi, Roger; Gomez-Lopez, Nardhy
    Preterm birth, the leading cause of perinatal morbidity and mortality worldwide, frequently results from the syndrome of preterm labor. The best-established causal link to preterm labor is intra-amniotic infection, which involves premature activation of the parturition cascade in the reproductive tissues. Herein, we utilize single-cell RNA sequencing (scRNA-seq) to generate a single-cell atlas of the murine uterus, decidua, and cervix in a model of infection-induced preterm labor. We show that preterm labor affects the transcriptomic profiles of specific immune and non-immune cell subsets. Shared and tissue-specific gene expression sig-natures are identified among affected cells. Determination of intercellular communications implicates spe-cific cell types in preterm labor-associated signaling pathways across tissues. In silico comparison of murine and human uterine cell-cell interactions reveals conserved signaling pathways implicated in labor. Thus, our scRNA-seq data provide insights into the preterm labor-driven cellular landscape and communications in reproductive tissues.
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    Deciphering maternal-fetal cross-talk in the human placenta during parturition using single-cell RNA sequencing
    (2024) Garcia-Flores, Valeria; Romero, Roberto; Tarca, Adi L.; Peyvandipour, Azam; Xu, Yi; Galaz, Jose; Miller, Derek; Chaiworapongsa, Tinnakorn; Chaemsaithong, Piya; Berry, Stanley M.; Awonuga, Awoniyi O.; Bryant, David R.; Pique-Regi, Roger; Gomez-Lopez, Nardhy
    Labor is a complex physiological process requiring a well-orchestrated dialogue between the mother and fetus. However, the cellular contributions and communications that facilitate maternal-fetal cross-talk in labor have not been fully elucidated. Here, single-cell RNA sequencing (scRNA-seq) was applied to decipher maternal-fetal signaling in the human placenta during term labor. First, a single-cell atlas of the human placenta was established, demonstrating that maternal and fetal cell types underwent changes in transcriptomic activity during labor. Cell types most affected by labor were fetal stromal and maternal decidual cells in the chorioamniotic membranes (CAMs) and maternal and fetal myeloid cells in the placenta. Cell-cell interaction analyses showed that CAM and placental cell types participated in labor-driven maternal and fetal signaling, including the collagen, C-X-C motif ligand (CXCL), tumor necrosis factor (TNF), galectin, and interleukin-6 (IL-6) pathways. Integration of scRNA-seq data with publicly available bulk transcriptomic data showed that placenta-derived scRNA-seq signatures could be monitored in the maternal circulation throughout gestation and in labor. Moreover, comparative analysis revealed that placenta-derived signatures in term labor were mirrored by those in spontaneous preterm labor and birth. Furthermore, we demonstrated that early in gestation, labor-specific, placenta-derived signatures could be detected in the circulation of women destined to undergo spontaneous preterm birth, with either intact or prelabor ruptured membranes. Collectively, our findings provide insight into the maternal-fetal cross-talk of human parturition and suggest that placenta-derived single-cell signatures can aid in the development of noninvasive biomarkers for the prediction of preterm birth.