Evidence map›Paper›PMID 38019402›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Methods for Co-culture of Primary Human Extravillous Trophoblast Cells and Uterine Natural Killer Cells.

Xiaowen Gan, Fen Ning, Gendie E Lash

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Xiaowen Gan *Division of Uterine Vascular Biology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Fen Ning *Division of Uterine Vascular Biology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Gendie E LashDivision of Uterine Vascular Biology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During early pregnancy, fetal-derived extravillous trophoblast cells (EVT) from the placenta invade the maternal decidua and inner third of the uterus where they establish fetal tolerance and remodel the uterine spiral arteries, which ensures establishment of a successful pregnancy. Aberrant EVT invasion and spiral artery remodeling is associated with a number of pregnancy complications including miscarriage, preeclampsia, fetal growth restriction, and placenta accrete. During invasion of the maternal tissues, the EVT interact with a number of different cell types including the decidual leukocytes. EVT express HLA-C, HLA-G, HLA-E, and HLA-F and interact with uterine natural killer (uNK) cells through a series of different receptors. Epidemiological evidence suggests that different combinations of HLA-C and killer cell Ig-like receptor (KIR) haplotypes impact pregnancy success. Therefore, there is much interest in the functional consequence of interactions between EVT and uNK cells, and several different methodologies have been used to isolate these different cell types and their co-culture.

Indexed as

HLA-C AntigensTrophoblastsCoculture TechniquesFemaleHumansKiller Cells, NaturalPregnancyUterusHLA-C AntigensCell isolationCo-cultureExtravillous trophoblast cellsPlacentaUterine natural killer cells

Identifiers

PMID38019402
OpenAlexW4389144885

What OpenQuestion holds

Textmetadata
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.