Evidence map›Paper›PMID 34127974›Full record

ArticlebioRxiv : the preprint server for biology2022

Multi-color super-resolution imaging to study human coronavirus RNA during cellular infection.

Jiarui Wang, Mengting Han, Anish R Roy, Haifeng Wang, Leonhard Möckl, Leiping Zeng, W E Moerner, Lei S Qi

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Jiarui WangDepartment of Chemistry, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Mengting HanDepartments of Bioengineering, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Anish R RoyDepartment of Chemistry, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Haifeng WangDepartments of Bioengineering, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Leonhard MöcklDepartment of Chemistry, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Leiping ZengDepartments of Bioengineering, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
W E MoernerDepartment of Chemistry, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Lei S QiDepartments of Bioengineering, Chemical and Systems Biology, and ChEM-H Stanford University, Stanford, California, 94305 U.S.A.
Stanford University · USMax Planck Institute for the Science of Light · DE

Funding

Single-Molecule Imaging for Cell Biology and Super-Resolution MicroscopyR35GM118067 · NIGMS · STANFORD UNIVERSITY · PI MOERNER, WILLIAM E · 2016 to 2025
$6.2M
Engineering and Imaging 3D genome structure-function dynamics across time scalesU01DK127405 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BLOBEL, GERD A, PHILLIPS-CREMINS, JENNIFER ELIZABETH · 2020 to 2024
$5.7M
NIDDK NIH HHS U01 DK127405NIGMS NIH HHS R35 GM118067
6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the third human coronavirus within 20 years that gave rise to a life-threatening disease and the first to reach pandemic spread. To make therapeutic headway against current and future coronaviruses, the biology of coronavirus RNA during infection must be precisely understood. Here, we present a robust and generalizable framework combining high-throughput confocal and super-resolution microscopy imaging to study coronavirus infection at the nanoscale. Employing the model human coronavirus HCoV-229E, we specifically labeled coronavirus genomic RNA (gRNA) and double-stranded RNA (dsRNA) via multicolor RNA-immunoFISH and visualized their localization patterns within the cell. The exquisite resolution of our approach uncovers a striking spatial organization of gRNA and dsRNA into three distinct structures and enables quantitative characterization of the status of the infection after antiviral drug treatment. Our approach provides a comprehensive framework that supports investigations of coronavirus fundamental biology and therapeutic effects.

Identifiers

PMID34127974
PMCPMC8202426
OpenAlexW3169731617

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.