Evidence map›Paper›PMID 27127728›Full record

ReviewJAK-STAT2015

LIF signal in mouse embryonic stem cells.

Satoshi Ohtsuka, Yoko Nakai-Futatsugi, Hitoshi Niwa

Abstract readReview
In one paragraph

Review in JAK-STAT, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Glycosylation in Stem Cell Biology.Handbook of experimental pharmacology · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Epithelial LIF signaling limits apoptosis and lung injury during bacterial pneumonia.American journal of physiology. Lung cellular and molecular physiology · 2022
    Article
  16. N6-methyladenosine (mProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
  18. Article
  19. Article
  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.

Satoshi OhtsukaLaboratory for Pluripotent Stem Cell Studies; Center for Developmental Biology (CDB) RIKEN ; Kobe, Japan.
Yoko Nakai-FutatsugiLaboratory for Pluripotent Stem Cell Studies; Center for Developmental Biology (CDB) RIKEN ; Kobe, Japan.
Hitoshi NiwaLaboratory for Pluripotent Stem Cell Studies; Center for Developmental Biology (CDB) RIKEN; Kobe, Japan; Department of Pluripotent Stem Cell Biology; Institute of Molecular Embryology and Genetics (IMEG); Kumamoto University; Kumamoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the establishment of mouse embryonic stem cells (mESCs) in the 1980s, a number of important notions on the self-renewal of pluripotent stem cells in vitro have been found. In serum containing conventional culture, an exogenous cytokine, leukemia inhibitory factor (LIF), is absolutely essential for the maintenance of pluripotency. In contrast, in serum-free culture with simultaneous inhibition of Map-kinase and Gsk3 (so called 2i-culture), LIF is no longer required. However, recent findings also suggest that LIF may have a role not covered by the 2i for the maintenance of naïve pluripotency. These suggest that LIF functions for the maintenance of naïve pluripotency in a context dependent manner. We summarize how LIF-signal pathway is converged to maintain the naïve state of pluripotency.

Indexed as

Embryonic stem cell (ESC), Lekemia inhibitory factor (LIF) signal, Stat3, MAP kinase, PI3K-Akt, Genetic background, naive state of pluripoetncy, Epigenetics

Identifiers

PMID27127728
PMCPMC4802755

What OpenQuestion holds

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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.