Evidence map›Paper›PMID 26935401›Full record

ArticleScientific reports2016

Predicted molecular signaling guiding photoreceptor cell migration following transplantation into damaged retina.

Uchenna John Unachukwu, Alice Warren, Ze Li, Shawn Mishra, Jing Zhou, Moira Sauane, Hyungsik Lim, Maribel Vazquez, Stephen Redenti

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

9 authors.

Uchenna John UnachukwuBiochemistry Doctoral Program, The Graduate School, City University of New York, New York, NY, USA.
Alice WarrenDepartment of Biological Sciences, Lehman College, City University of New York, Bronx, NY, USA.
Ze LiDepartment of Biological Sciences, Lehman College, City University of New York, Bronx, NY, USA.
Shawn MishraDepartment of Biomedical Engineering, City College of New York, City University of New York, NY, USA.
Jing ZhouDepartment of Biological Sciences, Lehman College, City University of New York, Bronx, NY, USA.
Moira SauaneDepartment of Biological Sciences, Lehman College, City University of New York, Bronx, NY, USA.
Hyungsik LimDepartments of Physics and Biology, Hunter College of the City University of New York, New York, NY USA.
Maribel VazquezDepartment of Biomedical Engineering, City College of New York, City University of New York, NY, USA.
Stephen RedentiBiochemistry Doctoral Program, The Graduate School, City University of New York, New York, NY, USA.

Funding

Modeling Photoreceptor Migration in Biomimetic Microenvironments to Optimize TransplantationSC3GM113782 · NIGMS · HERBERT H. LEHMAN COLLEGE · PI REDENTI, STEPHEN M · 2015 to 2024
$898k
NIGMS NIH HHS SC3 GM113782
6 · The paper itself

Abstract

To replace photoreceptors lost to disease or trauma and restore vision, laboratories around the world are investigating photoreceptor replacement strategies using subretinal transplantation of photoreceptor precursor cells (PPCs) and retinal progenitor cells (RPCs). Significant obstacles to advancement of photoreceptor cell-replacement include low migration rates of transplanted cells into host retina and an absence of data describing chemotactic signaling guiding migration of transplanted cells in the damaged retinal microenvironment. To elucidate chemotactic signaling guiding transplanted cell migration, bioinformatics modeling of PPC transplantation into light-damaged retina was performed. The bioinformatics modeling analyzed whole-genome expression data and matched PPC chemotactic cell-surface receptors to cognate ligands expressed in the light-damaged retinal microenvironment. A library of significantly predicted chemotactic ligand-receptor pairs, as well as downstream signaling networks was generated. PPC and RPC migration in microfluidic ligand gradients were analyzed using a highly predicted ligand-receptor pair, SDF-1α - CXCR4, and both PPCs and RPCs exhibited significant chemotaxis. This work present a systems level model and begins to elucidate molecular mechanisms involved in PPC and RPC migration within the damaged retinal microenvironment.

Indexed as

Cell MovementModels, BiologicalPhotoreceptor Cells, VertebrateRetinal DiseasesSignal TransductionEye ProteinsHumansEye Proteins

Identifiers

PMID26935401
PMCPMC4776098

What OpenQuestion holds

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LicenceCC BY
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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.