Evidence map›Paper›PMID 23651546›Full record

ReviewAgeing research reviews2013

Bioengineered stem cells in neural development and neurodegeneration research.

Shauna H Yuan, Mason Shaner

Abstract readReview
In one paragraph

Review in Ageing research reviews, 2013. 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
–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

9 citing papers in PubMed.

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

Shauna H YuanUniversity of California, San Diego, Department of Neurosciences, 9500 Gilman Dr. MC 0624, MTF Room 151, La Jolla, CA 92093-0624, USA. shyuan@ucsd.edu
Mason Shaner

Funding

TRIAL OF VALPROATE TO ATTENUATE THE PROGRESSION OF ADU01AG010483 · NIA · UNIVERSITY OF ROCHESTER · PI AISEN, PAUL S. · 1991 to 2012
$116.2M
VIRUS-INDUCED BRAIN PATHOLOGYP50AG005131 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BREWER, JAMES B · 1985 to 2018
$55.4M
NIA NIH HHS P50 AG005131NIA NIH HHS U01 AG010483NIA NIH HHS U01AG10483
6 · The paper itself

Abstract

The recent discovery of a simple method for making induced pluripotent stem cells (iPSC) from human somatic cells was a major scientific advancement that opened the way for many promising new developments in the study of developmental and degenerative diseases. iPSC have already been used to model many different types of neurological diseases, including autism, schizophrenia, Alzheimer's disease and Parkinson's disease. Because of their pluripotent property, iPSC offer the possibility of modeling human development in vitro. Their differentiation seems to follow the developmental timeline and obeys environmental cues. Clinically relevant phenotypes of neurodegenerative pathologies have also been observed using iPSC derived human neuronal cultures. Options for treatment are still some way off. Although some early research in mouse models has been encouraging, major obstacles remain for neural stem cell (NSC) transplantation therapy. However, iPSC now offer the prospect of an unlimited amount of human neurons or astrocytes for drug testing. The aim of this review is to summarize the recent progress in modeling neural development and neurological diseases using iPSC and to describe their applications for aging research and personalized medicine.

Indexed as

BioengineeringAgingAnimalsCell TransdifferentiationHumansNeural Stem CellsNeurodegenerative DiseasesNeuronsPluripotent Stem CellsStem Cell TransplantationHuman disease modelNeural developmentNeurodegenerationStem cellsTransplantation

Identifiers

PMID23651546
PMCPMC3742639

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.