Evidence map›Paper›PMID 22639699›Full record

ArticleBiomolecular concepts2011

Embryonic stem cells: protein interaction networks.

Patricia Miang-Lon Ng, Thomas Lufkin

Open access · hybridAbstract read
In one paragraph

Article in Biomolecular concepts, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Ovarian Cancer Stem Cells: Characterization and Role in Tumorigenesis.Advances in experimental medicine and biology · 2021
    Article
  3. Stem Cells in Ovarian Cancer and Potential Therapies.Proceedings of stem cell research and oncogenesis · 2020
    Article
  4. Article
  5. Presence and role of stem cells in ovarian cancer.World journal of stem cells · 2019
    Review
  6. Review
  7. Article
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Patricia Miang-Lon NgStem Cell and Developmental Biology, Genome Institute of Singapore, 60 Biopolis Street, 138672 Singapore.
Thomas Lufkin
Genome Institute of Singapore · SG

Funding

GENETIC CONTROL OF SKELETAL PATTERNING AND DEVELOPMENTR01AR046471 · NIAMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI LUFKIN, THOMAS C · 2000 to 2004
$1.7M
NIAMS NIH HHS R01 AR046471
6 · The paper itself

Abstract

Embryonic stem cells have the ability to differentiate into nearly all cell types. However, the molecular mechanism of its pluripotency is still unclear. Oct3/4, Sox2 and Nanog are important factors of pluripotency. Oct3/4 (hereafter referred to as Oct4), in particular, has been an irreplaceable factor in the induction of pluripotency in adult cells. Proteins interacting with Oct4 and Nanog have been identified via affinity purification and mass spectrometry. These data, together with iterative purifications of interacting proteins allowed a protein interaction network to be constructed. The network currently includes 77 transcription factors, all of which are interconnected in one network. In-depth studies of some of these transcription factors show that they all recruit the NuRD complex. Hence, transcription factor clustering and chromosomal remodeling are key mechanism used by embryonic stem cells. Studies using RNA interference suggest that more pluripotency genes are yet to be discovered via protein-protein interactions. More work is required to complete and curate the embryonic stem cell protein interaction network. Analysis of a saturated protein interaction network by system biology tools can greatly aid in the understanding of the embryonic stem cell pluripotency network.

Identifiers

PMID22639699
PMCPMC3360086
OpenAlexW2207238864

What OpenQuestion holds

Textmetadata
LicenceTDM
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.