Cited by 2,358Reproductive System and PregnancySingle-cell and spatial transcriptomicsPregnancy and preeclampsia studies

Single-cell reconstruction of the early maternal–fetal interface in humans

Open access
Vento-Tormo, Roser, Efremova, Mirjana, Botting, Rachel A., Turco, Margherita Y., Vento-Tormo, Miquel, Meyer, Kerstin B., Park, Jong-Eun, Stephenson, Emily +22 more·2018·Nature

Abstract

During early human pregnancy the uterine mucosa transforms into the decidua, into which the fetal placenta implants and where placental trophoblast cells intermingle and communicate with maternal cells. Trophoblast-decidual interactions underlie common diseases of pregnancy, including pre-eclampsia and stillbirth. Here we profile the transcriptomes of about 70,000 single cells from first-trimester placentas with matched maternal blood and decidual cells. The cellular composition of human decidua reveals subsets of perivascular and stromal cells that are located in distinct decidual layers. There are three major subsets of decidual natural killer cells that have distinctive immunomodulatory and chemokine profiles. We develop a repository of ligand-receptor complexes and a statistical tool to predict the cell-type specificity of cell-cell communication via these molecular interactions. Our data identify many regulatory interactions that prevent harmful innate or adaptive immune responses in this environment. Our single-cell atlas of the maternal-fetal interface reveals the cellular organization of the decidua and placenta, and the interactions that are critical for placentation and reproductive success.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41586-018-0698-6

Cites

74 of 74 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • CellPhoneDB analysis identified putative receptor-ligand interactions uniquely enriched between hepatocytes of specific zones and the cell types in close proximity to these zonated hepatocytes.

    “Specifically, we focused this analysis only on receptor-ligand interactions that are uniquely enriched between hepatocytes of specific zones and the cell types in close proximity to these zonated hepatocytes (Fig. 3c, Supplementary Data 3).”

    From Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (2025) · cites this paper as [31]

    The Methods describe CellPhoneDB as a framework for identifying receptor–ligand interactions enriched between cell types. The ‘Cell communication predicted by CellPhoneDB’ section applies it to the maternal–fetal interface, not to zonated hepatocytes or nearby liver cell types. The hepatocyte-specific finding is therefore not supported by this source. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Single-cell RNA sequencing identified two anatomically distinct fibroblast subsets within the FAPα+ population: FAPα+THY1+ immune effector fibroblasts in the synovial sub-lining, and FAPα+THY1− destructive fibroblasts in the synovial lining layer.

    “scRNASeq identified two anatomically distinct fibroblast subsets within the FAPα+ population: FAPα+ thymus cell antigen (THY1)+ immune ‘effector’ fibroblasts located in the synovial sub-lining, and FAPα+THY1− ‘destructive’ fibroblasts restricted to the synovial lining layer.”

    From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [23]

  • Significant diversity and functional heterogeneity exist within the fibroblast population during organ fibrosis.

    “Increasingly sophisticated experimental approaches have allowed discovery of significant diversity and functional heterogeneity within the fibroblast population during organ fibrosis22–25 .”

    From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [23]

  • Deletion of FAPα+ fibroblasts suppresses inflammation and bone erosions in mouse models of resolving and persistent arthritis.

    “deletion of fibroblast activation protein-α (FAPα)+ fibroblasts suppressed inflammation and bone erosions in mouse models of resolving and persistent arthritis”

    From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [23]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [22]Lucas ES Reconstruction of the decidual pathways in human endometrial cells using single-cell RNA-seq 2018 Preprint at https://www.biorxiv.org/content/early/2018/07/13/368829
  2. [44]O’Rahilla R Muller F Human Embryology and Teratology Wiley-Liss New York 1992

Cited by

Sorted by citations

Authors
Vento-Tormo, R., Efremova, M., Botting, R. A., Turco, M. Y., Vento-Tormo, M., Meyer, K. B., Park, J.-E., Stephenson, E., Polański, K., Goncalves, A., Gardner, L., Holmqvist, S., Henriksson, J., Zou, A., Sharkey, A. M., Millar, B., Innes, B., Wood, L., Wilbrey-Clark, A., Payne, R. P., Ivarsson, M. A., Lisgo, S., Filby, A., Rowitch, D. H., Bulmer, J. N., Wright, G. J., Stubbington, M. J. T., Haniffa, M., Moffett, A., & Teichmann, S. A.
Affiliations
  • Wellcome Sanger Institute (GB)
  • Newcastle University (GB)
  • University of Cambridge (GB)
  • Wellcome/MRC Cambridge Stem Cell Institute (GB)
  • Newcastle upon Tyne Hospitals NHS Foundation Trust (GB)
  • European Bioinformatics Institute (GB)
Corresponding author
  • Haniffa, Muzlifah
  • Moffett, Ashley
  • Teichmann, Sarah A.
Venue
Nature
Published
2018-11-14
Volume
563
Issue
7731
Pages
347-353
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2900144939
Cited by
2,358
References
74
Citations by year
2026: 263 · 2025: 297 · 2024: 307 · 2023: 360 · 2022: 369 · 2021: 334 · 2020: 279 · 2019: 139 · 2018: 2
FWCI
82.06
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
  • Apollo (University of Cambridge) (submittedVersion)
  • Apollo
Funders
  • Wellcome Trust (204721/Z/16/Z, #MR/R006237/1, 107931/Z/15/Z, 206194)
  • Royal Society (DH160216)
  • Medical Research Council (MC_PC_12009, MR/R006237/1, MR/P001092/1)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Reproductive System and Pregnancy
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
Keywords
maternal-fetal interface, decidua, placenta, trophoblast, decidual natural killer cells, intercellular communication, ligand-receptor interactions, placentation, first trimester, perivascular cells, stromal cells, immunomodulation, preeclampsia, stillbirth, single-cell transcriptomics, cell type specificity
MeSH terms
Cell Communication, Cell Differentiation, Decidua, Female, Fetus, Humans, Killer Cells, Natural, Ligands, Placenta, Pregnancy, Trophoblasts, Stromal Cells, Sequence Analysis, RNA, RNA, Small Cytoplasmic, Histocompatibility, Maternal-Fetal, Single-Cell Analysis, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review