ArticleCurrent protocols2023
Establishing a Disease-in-a-Dish Model to Study SARS-CoV-2 Infection During Prenatal Development.
Article in Current protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- SARS-CoV-2 pseudoparticles preferentially infect ectoderm in human embryonic tissues.Frontiers in cell and developmental biology · 2026Article
- Menthol, a consumer product additive, adversely affects human embryonic stem cells via activation of TRPM8 and TRPA1 channels.Stem cells translational medicine · 2025Article
- An in vitro approach reveals molecular mechanisms underlying endocrine disruptor-induced epimutagenesis.eLife · 2024Article
- Does vaping increase the likelihood of SARS-CoV-2 infection? Paradoxically yes and no.American journal of physiology. Lung cellular and molecular physiology · 2024Article
- Establishing a Disease-in-a-Dish Model to Study SARS-CoV-2 Infection During Prenatal Development.Current protocols · 2023Article
- Endocytosis inhibitors block SARS-CoV-2 pseudoparticle infection of mink lung epithelium.Frontiers in microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mother-to-fetus transmission of the SARS-CoV-2 virus via the placenta has been reported but cannot readily be studied in pregnant women. This protocol describes an in vitro method to investigate SARS-CoV-2 infection of human embryonic stem cells (hESCs), which are similar to epiblast cells in young postimplantation embryos. First, SARS-CoV-2 viral pseudoparticles, which contain the spike protein and a fluorescent reporter, are incorporated into a lentivirus backbone that is expanded in HEK 293T cells. Then, an infection assay based on hESCs is used with the viral pseudoparticles. An application of the infection assay in therapeutic drug screening is provided. This protocol allows infection of hESCs by SARS-CoV-2 pseudoparticles to be studied in vitro and can be used in conjunction with other assays to understand and potentially prevent infection. hESCs could also be differentiated to study infection in the three germ layers and their fetal cell derivatives. This disease-in-a-dish model could be readily applied to other hESC lines, and to other viral infections, that affect human prenatal development. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Preparing HEK 293T cells for lentiviral vector transfection Support Protocol 1: Visual inspection of transfected HEK 293T cells Basic Protocol 2: Generating viral pseudoparticles Support Protocol 2: Determining viral titer with HEK 293T-ACE2 cells Basic Protocol 3: Plating hESCs for the infection assay Support Protocol 3: Evaluating transduction efficiency.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.