Evidence map›Paper›PMID 29959928›Full record

ArticleExperimental eye research2018

A new multichannel method quantitating TUNEL in detached photoreceptor nuclei.

Tyler Heisler-Taylor, Bongsu Kim, Alana Y Reese, Sumaya Hamadmad, Rania Kusibati, Andy J Fischer, Colleen M Cebulla

Abstract readValidation Study
In one paragraph

Article in Experimental eye research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Tyler Heisler-TaylorHavener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA; Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Bongsu KimHavener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA.
Alana Y ReeseHavener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA.
Sumaya HamadmadHavener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA.
Rania KusibatiHavener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA.
Andy J FischerDepartment of Neuroscience, The Ohio State University, Columbus, OH, USA.
Colleen M CebullaHavener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA. Electronic address: colleen.cebulla@osumc.edu.
The Ohio State University · US

Funding

Genetic polymorphisms in retinal detachment with proliferative vitreoretinopathyK08EY022672 · NEI · OHIO STATE UNIVERSITY · PI CEBULLA, COLLEEN MARIE · 2012 to 2016
$1.1M
NEI NIH HHS K08 EY022672
6 · The paper itself

Abstract

Nuclear co-localization labels are critical to ocular research. Among these, the TUNEL assay has been established as a gold standard of cell death and apoptosis. While several validated computer-based methods exist to quantitate these markers, including ImageJ Retina Analysis (RA) Toolkit and ImagePro, none verify the count with the nuclear counter stain to confirm nuclear co-localization. We established a new ImageJ-based automated multichannel thresholding (MCT) method to quantitate nuclear co-localized labeling. The MCT method was validated by comparing it with the two published TUNEL analysis in TUNEL-positive photoreceptors in an experimental retinal detachment (RD) model. RDs were induced in murine eyes and cross-sectional images of TUNEL and DAPI counter stain were obtained. Images were classified as "typical" or high density "hotspot" TUNEL regions (n = 10/group). Images were analyzed and compared between the MCT method and the published techniques including both "standard" and "high" settings of the RA Toolkit for detecting lower or higher TUNEL densities, respectively. Additional testing of the MCT method with built-in ImageJ thresholding algorithms was performed to produce fully automated measurements. All images were compared with Bland-Altman mean difference plots to assess the difference in counts and linear regression plots to assess correlation. Comparison between the MCT method and the ImagePro method were found to be well correlated (typical: R

Indexed as

ApoptosisAnimalsCell NucleusDNAFemaleFluorescent Antibody Technique, IndirectFluorescent DyesIndolesIn Situ Nick-End LabelingMiceMice, Inbred C57BLPhotoreceptor Cells, VertebrateRetinal DetachmentDAPIDNAFluorescent DyesIndolesApoptosisCell deathImage analysisImageJRetinaRetinal detachmentThresholdingTUNEL

Identifiers

PMID29959928
PMCPMC6215716
OpenAlexW2810981923

What Socratic 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 Socratic graph.