Evidence map›Paper›PMID 22219365›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Tiling genomes of pathogenic viruses identifies potent antiviral shRNAs and reveals a role for secondary structure in shRNA efficacy.

Xu Tan, Zhi John Lu, Geng Gao, Qikai Xu, Long Hu, Christof Fellmann, Mamie Z Li, Hongjing Qu, Scott W Lowe, Gregory J Hannon and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Next-generation libraries for robust RNA interference-based genome-wide screens.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  9. Multiplexing seven miRNA-Based shRNAs to suppress HIV replication.Molecular therapy : the journal of the American Society of Gene Therapy · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors at 3 institutions in 2 countries.

Xu TanDepartment of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Zhi John Lu
Geng Gao
Qikai Xu
Long Hu
Christof Fellmann
Mamie Z Li
Hongjing Qu
Scott W Lowe
Gregory J Hannon
Stephen J Elledge
Howard Hughes Medical Institute · USCold Spring Harbor Laboratory · USTsinghua University · CN

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Making hypomorphic tumor supressors in vivo using RNAiU01CA105388 · NCI · COLD SPRING HARBOR LABORATORY · PI LOWE, SCOTT W. · 2004 to 2013
$8.8M
Roles of small RNAs in guarding germ cell genomesR37GM062534 · NIGMS · NEW YORK GENOME CENTER · PI HANNON, GREGORY J · 2013 to 2017
$2.0M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA008748NCI NIH HHS P30 CA045508NCI NIH HHS U01 CA105388NIGMS NIH HHS R37 GM062534
6 · The paper itself

Abstract

shRNAs can trigger effective silencing of gene expression in mammalian cells, thereby providing powerful tools for genetic studies, as well as potential therapeutic strategies. Specific shRNAs can interfere with the replication of pathogenic viruses and are currently being tested as antiviral therapies in clinical trials. However, this effort is hindered by our inability to systematically and accurately identify potent shRNAs for viral genomes. Here we apply a recently developed highly parallel sensor assay to identify potent shRNAs for HIV, hepatitis C virus (HCV), and influenza. We observe known and previously unknown sequence features that dictate shRNAs efficiency. Validation using HIV and HCV cell culture models demonstrates very high potency of the top-scoring shRNAs. Comparing our data with the secondary structure of HIV shows that shRNA efficacy is strongly affected by the secondary structure at the target RNA site. Artificially introducing secondary structure to the target site markedly reduces shRNA silencing. In addition, we observe that HCV has distinct sequence features that bias HCV-targeting shRNAs toward lower efficacy. Our results facilitate further development of shRNA based antiviral therapies and improve our understanding and ability to predict efficient shRNAs.

Indexed as

Nucleic Acid ConformationAntiviral AgentsBase SequenceCells, CulturedGenetic TestingGenome, ViralHeLa CellsHepacivirusHIVHumansInfluenza A virusReproducibility of ResultsRNA InterferenceRNA, Small InterferingVirusesAntiviral AgentsRNA, Small Interfering

Identifiers

PMID22219365
PMCPMC3271875
OpenAlexW1966241616

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.