Evidence map›Paper›PMID 22492180›Full record

ArticleProtein & cell2012

System approaches reveal the molecular networks involved in neural stem cell differentiation.

Kai Wang, Haifeng Wang, Jiao Wang, Yuqiong Xie, Jun Chen, Huang Yan, Zengrong Liu, Tieqiao Wen

Abstract read
In one paragraph

Article in Protein & cell, 2012. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Bioinformatics analysis of biomarkers and transcriptional factor motifs in Down syndrome.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2014
    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

8 authors.

Kai WangLaboratory of Molecular Neurobiology, School of Life Sciences, Shanghai University, Shanghai 200444, China.
Haifeng Wang
Jiao Wang
Yuqiong Xie
Jun Chen
Huang Yan
Zengrong Liu
Tieqiao Wen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The self-renewal and multipotent potentials in neural stem cells (NSCs) maintain the normal physiological functions of central nervous system (CNS). The abnormal differentiation of NSCs would lead to CNS disorders. However, the mechanisms of how NSCs differentiate into astrocytes, oligodendrocytes (OLs) and neurons are still unclear, which is mainly due to the complexity of differentiation processes and the limitation of the cell separation method. In this study, we modeled the dynamics of neural cell interactions in a systemic approach by mining the high-throughput genomic and proteomic data, and identified 8615 genes that are involved in various biological processes and functions with significant changes during the differentiation processes. A total of 1559 genes are specifically expressed in neural cells, in which 242 genes are NSC specific, 215 are astrocyte specific, 551 are OL specific, and 563 are neuron specific. In addition, we proposed 57 transcriptional regulators specifically expressed in NSCs may play essential roles in the development courses. These findings provide more comprehensive analysis for better understanding the endogenous mechanisms of NSC fate determination.

Indexed as

AnimalsAstrocytesCell DifferentiationGene Expression ProfilingGene Regulatory NetworksMiceNeural Stem CellsOligodendrogliaProtein Interaction Mapping

Identifiers

PMID22492180
PMCPMC4875420

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.