Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,411

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Enhanced isolation of SARS-CoV-2 by TMPRSS2-expressing cells

Open access
Matsuyama, Shutoku, Nao, Naganori, Shirato, Kazuya, Kawase, Miyuki, Saito, Shinji, Takayama, Ikuyo, Nagata, Noriyo, Sekizuka, Tsuyoshi, Katoh, Hiroshi, Kato, Fumihiro, Sakata, Masafumi, Tahara, Maino, Kutsuna, Satoshi, Ohmagari, Norio, Kuroda, Makoto, Suzuki, Tadaki, Kageyama, Tsutomu, Takeda, Makoto·2020·Proceedings of the National Academy of Sciences

Abstract

A novel betacoronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused a large respiratory outbreak in Wuhan, China in December 2019, is currently spreading across many countries globally. Here, we show that a TMPRSS2-expressing VeroE6 cell line is highly susceptible to SARS-CoV-2 infection, making it useful for isolating and propagating SARS-CoV-2. Our results reveal that, in common with SARS- and Middle East respiratory syndrome-CoV, SARS-CoV-2 infection is enhanced by TMPRSS2.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.2002589117

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 1,411

Metadata

Authors
Matsuyama, S., Nao, N., Shirato, K., Kawase, M., Saito, S., Takayama, I., Nagata, N., Sekizuka, T., Katoh, H., Kato, F., Sakata, M., Tahara, M., Kutsuna, S., Ohmagari, N., Kuroda, M., Suzuki, T., Kageyama, T., & Takeda, M.
Venue
Proceedings of the National Academy of Sciences
Published
2020-03-12
Volume
117
Issue
13
Pages
7001-7003
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3010955108
Cited by
1,411
References
3
FWCI
34.25
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Enhanced isolation of SARS-CoV-2 by TMPRSS2-expressing cells. https://app.cochat.ai/papers/10.1073/pnas.2002589117
The paper
Matsuyama, S., Nao, N., Shirato, K., Kawase, M., Saito, S., Takayama, I., Nagata, N., Sekizuka, T., Katoh, H., Kato, F., Sakata, M., Tahara, M., Kutsuna, S., Ohmagari, N., Kuroda, M., Suzuki, T., Kageyama, T., & Takeda, M. (2020). Enhanced isolation of SARS-CoV-2 by TMPRSS2-expressing cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2002589117

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.