Evidence map›Paper›PMID 16638566›Full record

ArticleFEBS letters2006

Kinetics and synergistic effects of siRNAs targeting structural and replicase genes of SARS-associated coronavirus.

Ming-Liang He, Bo-jian Zheng, Ying Chen, Kin-Ling Wong, Jian-Dong Huang, Marie C Lin, Ying Peng, Kwok Y Yuen, Joseph J Y Sung, Hsiang-fu Kung

Open access · bronzeAbstract read
In one paragraph

Article in FEBS letters, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Nucleic Acid-Based Technologies Targeting Coronaviruses.Trends in biochemical sciences · 2021
    Review
  7. Review
  8. Pulmonary siRNA delivery for lung disease: Review of recent progress and challenges.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Review
  9. Review
  10. Emerging Technologies for the Treatment of COVID-19.Advances in experimental medicine and biology · 2021
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Prospects for RNAi Therapy of COVID-19.Frontiers in bioengineering and biotechnology · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 2 countries.

Ming-Liang HeThe Center for Emerging Infectious, Li Ka-Shing Medical Institute, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Bo-jian Zheng
Ying Chen
Kin-Ling Wong
Jian-Dong Huang
Marie C Lin
Ying Peng
Kwok Y Yuen
Joseph J Y Sung
Hsiang-fu Kung
Chinese University of Hong Kong · CNUniversity of Hong Kong · HKSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-associated coronavirus was identified as the etiological agent of severe acute respiratory syndrome and a large virus pool was identified in wild animals. Virus generates drug resistance through fast mutagenesis and escapes antiviral treatment. siRNAs targeting different genes would be an alternative for overcoming drug resistance. Here, we report effective siRNAs targeting structural genes (i.e., spike, envelope, membrane, and nucleocapsid) and their antiviral kinetics. We also showed the synergistic effects of two siRNAs targeting different functional genes at a very low dose. Our findings may pave a way to develop cost effective siRNA agents for antiviral therapy in the future.

Indexed as

RNA, Small InterferingAnimalsBase SequenceCells, CulturedCytopathogenic Effect, ViralDNA PrimersKineticsMacaca mulattaReverse Transcriptase Polymerase Chain ReactionSevere acute respiratory syndrome-related coronavirusViral ProteinsVirus ReplicationDNA PrimersRNA, Small InterferingViral Proteins

Identifiers

PMID16638566
PMCPMC7094648
OpenAlexW1977354935

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.