Evidence map›Paper›PMID 35664254›Full record

ArticleSTAR protocols2022

Protocols for SARS-CoV-2 infection in primary ocular cells and eye organoids.

Anne Zebitz Eriksen, Rasmus Møller, Bar Makovoz, Benjamin R tenOever, Timothy A Blenkinsop

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Choosing a cellular model to study SARS-CoV-2.Frontiers in cellular and infection microbiology · 2022
    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

5 authors at 3 institutions in 2 countries.

Anne Zebitz EriksenDepartment of Cell, Development and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Rasmus MøllerDepartment of Microbiology, New York University, New York, NY 10016, USA.
Bar MakovozDepartment of Cell, Development and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Benjamin R tenOeverDepartment of Microbiology, New York University, New York, NY 10016, USA.
Timothy A BlenkinsopDepartment of Cell, Development and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Icahn School of Medicine at Mount Sinai · USNew York University · USTechnical University of Denmark · DK

Funding

Reversing Contractility in Epiretinal MembranesR01EY029736 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BLENKINSOP, TIMOTHY A. · 2020 to 2024
$2.0M
Transcriptional regulators of iris muscle cell developmentR21EY030215 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BLENKINSOP, TIMOTHY A. · 2020 to 2021
$457k
NEI NIH HHS R01 EY029736NEI NIH HHS R21 EY030215
6 · The paper itself

Abstract

Here, we describe a series of protocols detailing the steps for evaluating SARS-CoV-2 infection in models of the human eye. Included are protocols for whole eye organoid differentiation, SARS-CoV-2 infection, and processing organoids for single-cell RNA sequencing. Additional protocols describe how to dissect and culture adult human ocular cells from cadaver donor eyes and how to compare infection of SARS-CoV-2 and the presence of SARS-CoV-2 entry factors using qPCR, immunofluorescence, and plaque assays. For complete details on the use and execution of this protocol, please refer to Eriksen et al. (2021).

Indexed as

COVID-19AdultEyeHumansOrganoidsSARS-CoV-2Health SciencesImmunologyMicrobiologyOrganoidsStem Cells

Identifiers

PMID35664254
PMCPMC9023348
OpenAlexW4224290245

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.