Evidence map›Paper›PMID 35990736›Full record

ArticleSTAR protocols2022

Infecting kidney organoids with a cDNA reporter clone of SARS-CoV-2.

Hyunjae Chung, Maxwell P Bui-Marinos, Waleed Rahmani, Jennifer A Corcoran, Justin Chun

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 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, 6 citations in OpenAlex.

  1. Article
  2. Article
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 1 institution in 1 country.

Hyunjae ChungSnyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Maxwell P Bui-MarinosSnyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Microbiology, Immunology and Infectious Diseases Department and Charbonneau Cancer Research Institute, University of Calgary, Calgary, AB, Canada.
Waleed RahmaniDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Jennifer A CorcoranSnyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Microbiology, Immunology and Infectious Diseases Department and Charbonneau Cancer Research Institute, University of Calgary, Calgary, AB, Canada. Electronic address: jennifer.corcoran@ucalgary.ca.
Justin ChunSnyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. Electronic address: chuj@ucalgary.ca.
University of Calgary · CA

Funding

CIHR 175622
6 · The paper itself

Abstract

Induced pluripotent stem cell (iPSC)-derived kidney organoids can be used for disease modeling and drug testing. Here, we describe a protocol to prepare stocks of an infectious clone of SARS-CoV-2 expressing a stable mNeonGreen reporter (icSARS-CoV-2-mNG). We demonstrate the infection of kidney organoids, primarily at the proximal tubular cells, with icSARS-CoV-2-mNG. Using a TCID50 (tissue culture infectious dose 50) assay and confocal microscopy, we show the quantification of SARS-CoV-2-mNG signal in proximal tubular cells of the kidney organoids. For complete details on the use and execution of this protocol, please refer to Rahmani et al. (2022).

Indexed as

COVID-19SARS-CoV-2Clone CellsDNA, ComplementaryHumansKidneyOrganoidsDNA, ComplementaryCell-based assaysOrganoidsStem cells

Identifiers

PMID35990736
PMCPMC9300580
OpenAlexW4286511916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.