Evidence map›Paper›PMID 15254276›Full record

ArticleNucleic acids research2004

Inhibition of HIV-1 multiplication by antisense U7 snRNAs and siRNAs targeting cyclophilin A.

Songkai Liu, Maria Asparuhova, Vincent Brondani, Ingrid Ziekau, Thomas Klimkait, Daniel Schümperli

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. U7 snRNA: A tool for gene therapy.The journal of gene medicine · 2021
    Review
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  14. Alternative splicing and disease.Biochimica et biophysica acta · 2009
    Review
  15. Review
  16. Review
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  19. Article
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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 1 institution in 1 country.

Songkai LiuInstitute of Cell Biology, University of Bern, Baltzerstrasse 4, 3012 Bern, Switzerland.
Maria Asparuhova
Vincent Brondani
Ingrid Ziekau
Thomas Klimkait
Daniel Schümperli
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus 1 (HIV-1) multiplication depends on a cellular protein, cyclophilin A (CyPA), that gets integrated into viral particles. Because CyPA is not required for cell viability, we attempted to block its synthesis in order to inhibit HIV-1 replication. For this purpose, we used antisense U7 small nuclear RNAs (snRNAs) that disturb CyPA pre-mRNA splicing and short interfering RNAs (siRNAs) that target CyPA mRNA for degradation. With dual-specificity U7 snRNAs targeting the 3' and 5' splice sites of CyPA exons 3 or 4, we obtained an efficient skipping of these exons and a strong reduction of CyPA protein. Furthermore, short interfering RNAs targeting two segments of the CyPA coding region strongly reduced CyPA mRNA and protein levels. Upon lentiviral vector-mediated transduction, prolonged antisense effects were obtained for both types of antisense RNAs in the human T-cell line CEM-SS. These transduced CEM-SS cells showed a delayed, and for the siRNAs also reduced, HIV-1 multiplication. Since the two types of antisense RNAs function by different mechanisms, combining the two approaches may result in a synergistic effect.

Indexed as

Cell LineCyclophilin AExonsGenetic VectorsHIV-1HumansLentivirusRNA, AntisenseRNA InterferenceRNA PrecursorsRNA, Small InterferingRNA, Small NuclearRNA SplicingT-LymphocytesVirus ReplicationCyclophilin ARNA, AntisenseRNA PrecursorsRNA, Small InterferingRNA, Small NuclearU7 small nuclear RNA

Identifiers

PMID15254276
PMCPMC484190
OpenAlexW2041318023

What OpenQuestion holds

Textmetadata
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.