Evidence map›Paper›PMID 25815116›Full record

ReviewWorld journal of stem cells2015

Imprinted Zac1 in neural stem cells.

Guillaume Daniel, Udo Schmidt-Edelkraut, Dietmar Spengler, Anke Hoffmann

Open access · bronzeAbstract readReview
In one paragraph

Review in World journal of stem cells, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

4 authors at 1 institution in 1 country.

Guillaume DanielGuillaume Daniel, Udo Schmidt-Edelkraut, Dietmar Spengler, Anke Hoffmann, Max Planck Institute of Psychiatry, Translational Research, 80804 Munich, Germany.
Udo Schmidt-EdelkrautGuillaume Daniel, Udo Schmidt-Edelkraut, Dietmar Spengler, Anke Hoffmann, Max Planck Institute of Psychiatry, Translational Research, 80804 Munich, Germany.
Dietmar SpenglerGuillaume Daniel, Udo Schmidt-Edelkraut, Dietmar Spengler, Anke Hoffmann, Max Planck Institute of Psychiatry, Translational Research, 80804 Munich, Germany.
Anke HoffmannGuillaume Daniel, Udo Schmidt-Edelkraut, Dietmar Spengler, Anke Hoffmann, Max Planck Institute of Psychiatry, Translational Research, 80804 Munich, Germany.
Max Planck Institute of Psychiatry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural stem cells (NSCs) and imprinted genes play an important role in brain development. On historical grounds, these two determinants have been largely studied independently of each other. Recent evidence suggests, however, that NSCs can reset select genomic imprints to prevent precocious depletion of the stem cell reservoir. Moreover, imprinted genes like the transcriptional regulator Zac1 can fine tune neuronal vs astroglial differentiation of NSCs. Zac1 binds in a sequence-specific manner to pro-neuronal and imprinted genes to confer transcriptional regulation and furthermore coregulates members of the p53-family in NSCs. At the genome scale, Zac1 is a central hub of an imprinted gene network comprising genes with an important role for NSC quiescence, proliferation and differentiation. Overall, transcriptional, epigenomic, and genomic mechanisms seem to coordinate the functional relationships of NSCs and imprinted genes from development to maturation, and possibly aging.

Indexed as

Cell fate decisionsDifferentiationDlk1Genomic imprintingIgf2-H19Imprinted gene networksNecdinNeural stem cellsp57Kip2Zac1

Identifiers

PMID25815116
PMCPMC4369488
OpenAlexW2135132709

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.