Evidence map›Paper›PMID 27785459›Full record

ArticleTechnology2016

Signal transduction of the physical environment in the neural differentiation of stem cells.

Ryan Thompson, Christina Chan

Abstract read
In one paragraph

Article in Technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

2 authors.

Ryan ThompsonCell and Molecular Biology Program, East Lansing, Michigan 48824, USA.
Christina ChanCell and Molecular Biology Program, East Lansing, Michigan 48824, USA; Department of Chemical Engineering and Materials Science, East Lansing, Michigan 48824, USA; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA.

Funding

Bioengineered Scaffolds for Spinal Cord InjuryR01EB014986 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SAKAMOTO, JEFFREY, TUSZYNSKI, MARK H. · 2012 to 2016
$2.4M
Maximizing siRNA Function through Mechanism-based Sequence and Vehicle DesignR01GM089866 · NIGMS · MICHIGAN STATE UNIVERSITY · PI WALTON, STEPHEN PATRICK · 2010 to 2013
$922k
Deep Sequencing to Screen Functional Antibody EpitopesR21CA176854 · NCI · MICHIGAN STATE UNIVERSITY · PI CHAN, CHRISTINA, WHITEHEAD, TIMOTHY ANDREW · 2013 to 2014
$351k
NCI NIH HHS R21 CA176854NIBIB NIH HHS R01 EB014986NIGMS NIH HHS R01 GM089866
6 · The paper itself

Abstract

Neural differentiation is largely dependent on extracellular signals within the cell microenvironment. These extracellular signals are mainly in the form of soluble factors that activate intracellular signaling cascades that drive changes in the cell nucleus. However, it is becoming increasingly apparent that the physical microenvironment provides signals that can also influence lineage commitment and very low modulus surfaces has been repeatedly demonstrated to promote neurogenesis. The molecular mechanisms governing mechano-induced neural differentiation are still largely uncharacterized; however, a growing body of evidence indicates that physical stimuli can regulate known signaling cascades and transcription factors involved in neural differentiation. Understanding how the physical environment affects neural differentiation at the molecular level will enable research and design of materials that will eventually enhance neural stem cell (NSC) differentiation, homogeneity and specificity.

Indexed as

MechanotransductionModulusNeuralNRSF/RESTRho/ROCKSMADYAP/TAZ

Identifiers

PMID27785459
PMCPMC5077250

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.