Unknown

Dataset Information

0

A single-cell survey of the human first-trimester placenta and decidua.


ABSTRACT: The placenta and decidua interact dynamically to enable embryonic and fetal development. Here, we report single-cell RNA sequencing of 14,341 and 6754 cells from first-trimester human placental villous and decidual tissues, respectively. Bioinformatic analysis identified major cell types, many known and some subtypes previously unknown in placental villi and decidual context. Further detailed analysis revealed proliferating subpopulations, enrichment of cell type-specific transcription factors, and putative intercellular communication in the fetomaternal microenvironment. This study provides a blueprint to further the understanding of the roles of these cells in the placenta and decidua for maintenance of early gestation as well as pathogenesis in pregnancy-related disorders.

SUBMITTER: Suryawanshi H 

PROVIDER: S-EPMC6209386 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

A single-cell survey of the human first-trimester placenta and decidua.

Suryawanshi Hemant H   Morozov Pavel P   Straus Alexander A   Sahasrabudhe Nicole N   Max Klaas E A KEA   Garzia Aitor A   Kustagi Manjunath M   Tuschl Thomas T   Williams Zev Z  

Science advances 20181031 10


The placenta and decidua interact dynamically to enable embryonic and fetal development. Here, we report single-cell RNA sequencing of 14,341 and 6754 cells from first-trimester human placental villous and decidual tissues, respectively. Bioinformatic analysis identified major cell types, many known and some subtypes previously unknown in placental villi and decidual context. Further detailed analysis revealed proliferating subpopulations, enrichment of cell type-specific transcription factors,  ...[more]

Similar Datasets

2020-05-29 | GSE145036 | GEO
2023-01-11 | GSE196917 | GEO
| PRJNA605783 | ENA
| S-EPMC5769539 | biostudies-literature
| S-EPMC3598011 | biostudies-literature
2021-06-02 | E-MTAB-9203 | biostudies-arrayexpress
2022-10-12 | GSE206037 | GEO
2019-01-01 | GSE109120 | GEO
2018-01-22 | GSE109082 | GEO