Evidence map›Paper›PMID 33191939›Full record

ArticleJournal of visualized experiments : JoVE2020

Single-cell Multiplexed Fluorescence Imaging to Visualize Viral Nucleic Acids and Proteins and Monitor HIV, HTLV, HBV, HCV, Zika Virus, and Influenza Infection.

Raven Shah, Shuiyun Lan, Maritza N Puray-Chavez, Dandan Liu, Philip R Tedbury, Stefan G Sarafianos

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Visualizing Influenza A Virus vRNA Replication.Frontiers in microbiology · 2022
    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

6 authors at 2 institutions in 1 country.

Raven Shah *Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine.
Shuiyun Lan *Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine.
Maritza N Puray-ChavezDepartment of Molecular Microbiology & Immunology, University of Missouri School of Medicine.
Dandan LiuDepartment of Molecular Microbiology & Immunology, University of Missouri School of Medicine.
Philip R TedburyLaboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine.
Stefan G SarafianosLaboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine; stefanos.sarafianos@emory.edu.
Emory University · USUniversity of Missouri · US

Funding

X-ray Crystallographic Fragment Screening CoreU54AI150472 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI LYUMKIS, DMITRY · 2019 to 2021
$15.7M
Structural studies of HIV Capsid with host factors and Capsid-targeting antiviralsR01AI120860 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI Stefan G Sarafianos, Zhengqiang Wang · 2015 to 2026
$6.0M
Molecular Interactions of HIV-1 with the Nuclear Pore ComplexR01AI148382 · NIAID · EMORY UNIVERSITY · PI MELIKIAN, GREGORY B, SARAFIANOS, STEFAN G · 2019 to 2022
$5.5M
Ultrapotent Inhibitors of Wild-type and Multi-drug Resistant HIVR37AI076119 · NIAID · EMORY UNIVERSITY · PI Stefan G Sarafianos · 2020 to 2026
$3.6M
Taking aim at HBV eradication using novel NRTIs and Capsid effectorsR01AI121315 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI SARAFIANOS, STEFAN G, WANG, ZHENGQIANG · 2016 to 2020
$3.0M
Novel mechanism of integrase (IN) resistance to Dolutegravir through epistatic interactions between IN and the nucleocapsid and polypurine tract regions of HIV-1R01AI146017 · NIAID · EMORY UNIVERSITY · PI HACHIYA, ATSUKO, LYUMKIS, DMITRY · 2019 to 2023
$2.6M
NIAID NIH HHS R01 AI120860NIAID NIH HHS R01 AI121315NIAID NIH HHS R01 AI146017NIAID NIH HHS R01 AI148382NIAID NIH HHS R37 AI076119NIAID NIH HHS U54 AI150472
6 · The paper itself

Abstract

Capturing the dynamic replication and assembly processes of viruses has been hindered by the lack of robust in situ hybridization (ISH) technologies that enable sensitive and simultaneous labeling of viral nucleic acid and protein. Conventional DNA fluorescence in situ hybridization (FISH) methods are often not compatible with immunostaining. We have therefore developed an imaging approach, MICDDRP (multiplex immunofluorescent cell-based detection of DNA, RNA and protein), which enables simultaneous single-cell visualization of DNA, RNA, and protein. Compared to conventional DNA FISH, MICDDRP utilizes branched DNA (bDNA) ISH technology, which dramatically improves oligonucleotide probe sensitivity and detection. Small modifications of MICDDRP enable imaging of viral proteins concomitantly with nucleic acids (RNA or DNA) of different strandedness. We have applied these protocols to study the life cycles of multiple viral pathogens, including human immunodeficiency virus (HIV)-1, human T-lymphotropic virus (HTLV)-1, hepatitis B virus (HBV), hepatitis C virus (HCV), Zika virus (ZKV), and influenza A virus (IAV). We demonstrated that we can efficiently label viral nucleic acids and proteins across a diverse range of viruses. These studies can provide us with improved mechanistic understanding of multiple viral systems, and in addition, serve as a template for application of multiplexed fluorescence imaging of DNA, RNA, and protein across a broad spectrum of cellular systems.

Indexed as

Optical ImagingSingle-Cell AnalysisDNA, ViralHepacivirusHepatitis B virusHIV-1HumansIn Situ Hybridization, FluorescenceOrthomyxoviridaeRNA, ViralViral ProteinsVirus DiseasesZika VirusDNA, ViralRNA, ViralViral Proteins

Identifiers

PMID33191939
PMCPMC7774762
OpenAlexW3096294322

What OpenQuestion holds

Textmetadata
LicenceTDM
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.