Scientists map the placenta in the early stages of pregnancy

paper published in the journal Nature reports on maps based on about 70,000 cells in the placenta in the early stages of pregnancy, providing new insights into cellular tissue and cell communication in the early stages of pregnancy in humans. The study explores mechanisms that are critical to the success of pregnancy to maintain the stability of the physiological environment.
in early human pregnancy, the fetal placenta is implanted into the endometrium (metamorphosis membrane), and the placental nourishment cells are mixed with the mother cells. This relationship is critical to the success of pregnancy, but cell interoperability in the membrane in the early stages of pregnancy is still not clear. International research projects, such as human cell maps, are trying to identify all cell types involved in development, health and disease.
Teichmann and colleagues at the Wellcome Sanger Institute in the UK are also working on the issue. They described the transcription groups of about 70,000 cells (the set of RNA molecules that control gene expression) in the early stages of pregnancy (6 to 14 weeks) in humans, as well as the matching maternal and membrane cells, studied molecular interactions between fetal and maternal cells at the placenta-morphic interface, and used the data to develop a new statistical tool to predict potentially special intercellular interactions.
researchers have identified specific functions of individual cell subsystes and identified regulatory interoperability that may help minimize harmful maternal immune responses. In addition, the authors identified three major sub-groups of metastatlytic membrane natural killer cells (dNK). They believe that during the first pregnancy, the interaction between dNK1 substation cells and specific placental cells may make dNK1 cells more effective in responding to placental implants during re-pregnancy.
findings provide important information for understanding early pregnancy and may have implications for improving the effectiveness of pregnancy-related diseases. (Source: Lu Yi compiled by China Science Daily)