Evidence map›Paper›PMID 36704195›Full record

ReviewFrontiers in cell and developmental biology2022

Single cell RNA sequencing research in maternal fetal interface.

Qian Chen, Dan Shan, Yupei Xie, Xingrong Luo, Yuxia Wu, Qiuhe Chen, Ruihong Dong, Yayi Hu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. The Placenta as an Immunological Environment.British journal of biomedical science · 2025
    Review
  11. Review
  12. Article
  13. Placental Origins of Preeclampsia: Insights from Multi-Omic Studies.International journal of molecular sciences · 2024
    Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Qian ChenDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Dan ShanDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yupei XieDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Xingrong LuoDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yuxia WuDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Qiuhe ChenDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Ruihong DongDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yayi HuDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The maternal-fetal interface is an essential environment for embryonic growth and development, and a successful pregnancy depends on the dynamic balance of the microenvironment at the maternal-fetal interface. Single-cell sequencing, which unlike bulk sequencing that provides averaged data, is a robust method for interpreting the cellular and molecular landscape at single-cell resolution. With the support of single-cell sequencing, the issue of maternal-fetal interface heterogeneity during pregnancy has been more deeply elaborated and understood, which is important for a deeper understanding of physiological and pathological pregnancy. In this paper, we analyze the recent studies of single-cell transcriptomics in the maternal-fetal interface, and provide new directions for understanding and treating various pathological pregnancies.

Indexed as

decidual stromal cellsmacrophagesmaternal-fetal interfaceNK cellssingle-cell RNA sequencingT cellstrophoblast cell

Identifiers

PMID36704195
PMCPMC9871254
OpenAlexW4315475707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.