Evidence map›Paper›PMID 30552099›Full record

ReviewThe Journal of cell biology2019

Opening the black box: Stem cell-based modeling of human post-implantation development.

Kenichiro Taniguchi, Idse Heemskerk, Deborah L Gumucio

Abstract readReview
In one paragraph

Review in The Journal of cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Primate amnion development.Development (Cambridge, England) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Human epiblast lumenogenesis: From a cell aggregate to a lumenal cyst.Seminars in cell & developmental biology · 2022
    Review
  14. Article
  15. Machine learning-assisted imaging analysis of a human epiblast model.Integrative biology : quantitative biosciences from nano to macro · 2021
    Article
  16. Review
  17. Review
  18. Article
  19. Human Embryo Models and Drug Discovery.International journal of molecular sciences · 2021
    Review
  20. Article
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.

Kenichiro TaniguchiDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI taniguch@med.umich.edu.ORCID 0000-0002-4531-7197
Idse HeemskerkDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI.ORCID 0000-0002-8861-7712
Deborah L GumucioDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI dgumucio@med.umich.edu.ORCID 0000-0001-8883-383X

Funding

Morphogenesis of the fetal intestinal epitheliumR01DK089933 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUMUCIO, DEBORAH L. · 2011 to 2019
$3.6M
NIDDK NIH HHS R01 DK089933
6 · The paper itself

Abstract

Proper development of the human embryo following its implantation into the uterine wall is critical for the successful continuation of pregnancy. However, the complex cellular and molecular changes that occur during this post-implantation period of human development are not amenable to study in vivo. Recently, several new embryo-like human pluripotent stem cell (hPSC)-based platforms have emerged, which are beginning to illuminate the current black box state of early human post-implantation biology. In this review, we will discuss how these experimental models are carving a way for understanding novel molecular and cellular mechanisms during early human development.

Indexed as

Embryonic DevelopmentModels, BiologicalAnimalsEmbryo, MammalianHumansPluripotent Stem Cells

Identifiers

PMID30552099
PMCPMC6363460

What OpenQuestion holds

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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.