Evidence map›Paper›PMID 24376770›Full record

ArticlePloS one2013

Microfluidic generated EGF-gradients induce chemokinesis of transplantable retinal progenitor cells via the JAK/STAT and PI3kinase signaling pathways.

Uchenna J Unachukwu, Moira Sauane, Maribel Vazquez, Stephen Redenti

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. EGF as a New Therapeutic Target for Medulloblastoma Metastasis.Cellular and molecular bioengineering · 2015
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Uchenna J UnachukwuBiochemistry Doctoral Program, The Graduate School and University Center, City University of New York, New York, New York, United States of America.
Moira SauaneDepartment of Biological Sciences, Herbert Lehman College, City University of New York, Bronx, New York, United States of America.
Maribel VazquezDepartment of Biomedical Engineering, City College of New York, City University of New York, New York, New York, United States of America.
Stephen RedentiBiochemistry Doctoral Program, The Graduate School and University Center, City University of New York, Department of Biological Sciences, Herbert Lehman College, City University of New York, Bronx, New York, United States of America.
The Graduate Center, CUNY · USCity College of New York · USCity University of New York · US

Funding

Modeling Photoreceptor Migration in Biomimetic Microenvironments to Optimize TransplantationSC3GM113782 · NIGMS · HERBERT H. LEHMAN COLLEGE · PI REDENTI, STEPHEN M · 2015 to 2024
$898k
Microvesicle Genetic Signaling Between Stem Cells, Retinal Neurons and GliaSC2GM096935 · NIGMS · HERBERT H. LEHMAN COLLEGE · PI REDENTI, STEPHEN M · 2011 to 2013
$483k
NIGMS NIH HHS GM096935NIGMS NIH HHS SC2 GM096935NIGMS NIH HHS SC3 GM113782
6 · The paper itself

Abstract

A growing number of studies are evaluating retinal progenitor cell (RPC) transplantation as an approach to repair retinal degeneration and restore visual function. To advance cell-replacement strategies for a practical retinal therapy, it is important to define the molecular and biochemical mechanisms guiding RPC motility. We have analyzed RPC expression of the epidermal growth factor receptor (EGFR) and evaluated whether exposure to epidermal growth factor (EGF) can coordinate motogenic activity in vitro. Using Boyden chamber analysis as an initial high-throughput screen, we determined that RPC motility was optimally stimulated by EGF concentrations in the range of 20-400 ng/ml, with decreased stimulation at higher concentrations, suggesting concentration-dependence of EGF-induced motility. Using bioinformatics analysis of the EGF ligand in a retina-specific gene network pathway, we predicted a chemotactic function for EGF involving the MAPK and JAK-STAT intracellular signaling pathways. Based on targeted inhibition studies, we show that ligand binding, phosphorylation of EGFR and activation of the intracellular STAT3 and PI3kinase signaling pathways are necessary to drive RPC motility. Using engineered microfluidic devices to generate quantifiable steady-state gradients of EGF coupled with live-cell tracking, we analyzed the dynamics of individual RPC motility. Microfluidic analysis, including center of mass and maximum accumulated distance, revealed that EGF induced motility is chemokinetic with optimal activity observed in response to low concentration gradients. Our combined results show that EGFR expressing RPCs exhibit enhanced chemokinetic motility in the presence of low nanomole levels of EGF. These findings may serve to inform further studies evaluating the extent to which EGFR activity, in response to endogenous ligand, drives motility and migration of RPCs in retinal transplantation paradigms.

Indexed as

Microfluidic Analytical TechniquesStem Cell TransplantationAnimalsCell MovementDose-Response Relationship, DrugEpidermal Growth FactorErbB ReceptorsGene Expression RegulationJNK Mitogen-Activated Protein KinasesMicePhosphatidylinositol 3-KinasesProtein TransportRetinaSignal TransductionSTAT Transcription FactorsStem CellsEpidermal Growth FactorErbB ReceptorsJNK Mitogen-Activated Protein KinasesPhosphatidylinositol 3-KinasesSTAT Transcription Factors

Identifiers

PMID24376770
PMCPMC3871684
OpenAlexW1990228539

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.