Evidence map›Paper›PMID 38027068›Full record

ArticleMolecular therapy. Methods & clinical development2023

Generation of hepatitis C virus-resistant liver cells by genome editing-mediated stable expression of RNA aptamer.

Tae Hyeong Kim, Seong-Wook Lee

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2023. 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
0.2field-weighted citation impact, top 42% 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, 1 citations in OpenAlex.

  1. CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026
    Review
  2. Review
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

2 authors at 1 institution in 1 country.

Tae Hyeong KimDepartment of Molecular Biology, Dankook University, Cheonan 31116, Republic of Korea.
Seong-Wook LeeDepartment of Bioconvergence Engineering, Research Institute of Advanced Omics, Dankook University, Yongin 16890, Republic of Korea.
Dankook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) infections frequently recur after liver transplantation in patients with HCV-related liver diseases. Approximately 30% of these patients progress to cirrhosis within 5 years after surgery. In this study, we proposed an effective therapeutic strategy to overcome the recurrence of HCV. CRISPR-Cas9 was used to insert an expression cassette encoding an RNA aptamer targeting HCV NS5B replicase as an anti-HCV agent into adeno-associated virus integration site 1 (AAVS1), known as a "safe harbor," in a hepatocellular carcinoma cell line to confer resistance to HCV. The RNA aptamer expression system based on a dihydrofolate reductase minigene was precisely knocked in into AAVS1, leading to the stable expression of aptamer RNA in the developed cell line. HCV replication was effectively inhibited at both the RNA and protein levels in cells transfected with HCV RNA or infected with HCV. RNA immunoprecipitation and competition experiments strongly suggested that this HCV inhibition was due to the RNA aptamer-mediated sequestration of HCV NS5B. No off-target insertion of the RNA aptamer expression construct was observed. The findings suggest that HCV-resistant liver cells produced by genome editing technology could be used as a new alternative in the development of a treatment for HCV-induced liver diseases.

Indexed as

AAVS1CRISPR/Cas9genome editinghepatitis C virusNS5B RNA replicaseRNA aptamer

Identifiers

PMID38027068
PMCPMC10667763
OpenAlexW4388458611

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.