Evidence map›Paper›PMID 38345250›Full record

ArticleJournal of visualized experiments : JoVE2024

Transpupillary-Guided Trans-Scleral Transplantation of Subretinal Grafts in a Retinal Degeneration Mouse Model.

Ying V Liu, Kang V Li, Zhuolin Li, Yuchen Lu, Minda M McNally, Edward P Esposito, Kanza Aziz, Mandeep S Singh

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Ying V LiuWilmer Eye Institute, Johns Hopkins University School of Medicine.
Kang V LiWilmer Eye Institute, Johns Hopkins University School of Medicine.
Zhuolin LiWilmer Eye Institute, Johns Hopkins University School of Medicine.
Yuchen LuWilmer Eye Institute, Johns Hopkins University School of Medicine.
Minda M McNallyWilmer Eye Institute, Johns Hopkins University School of Medicine.
Edward P EspositoWilmer Eye Institute, Johns Hopkins University School of Medicine.
Kanza AzizWilmer Eye Institute, Johns Hopkins University School of Medicine.
Mandeep S SinghWilmer Eye Institute, Johns Hopkins University School of Medicine; Department of Genetic Medicine, Johns Hopkins University School of Medicine; singhcorrespauth@gmail.com.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Developing photoreceptor repair for macular degeneration therapy.R01EY033103 · NEI · JOHNS HOPKINS UNIVERSITY · PI SINGH, MANDEEP · 2021 to 2025
$2.0M
NEI NIH HHS R01 EY033103
6 · The paper itself

Abstract

Transplantation of photoreceptor cells and retinal pigment epithelial (RPE) cells provide a potential therapy for retinal degeneration diseases. Subretinal transplantation of therapeutic donor cells into mouse recipients is challenging due to the limited surgical space allowed by the small volume of the mouse eye. We developed a trans-scleral surgical transplantation platform with direct transpupillary vision guidance to facilitate the subretinal delivery of exogenous cells in mouse recipients. The platform was tested using retinal cell suspensions and three-dimensional retinal sheets collected from rod-rich Rho::EGFP mice and cone-rich OPN1LW-EGFP;NRL

Indexed as

Retinal DegenerationAnimalsCell TransplantationMiceRetinaRetinal Cone Photoreceptor CellsVision, Ocular

Identifiers

PMID38345250
PMCPMC11294988
OpenAlexW4391270013

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.