Evidence map›Paper›PMID 19194803›Full record

ReviewThe AAPS journal2009

Learning from the viral journey: how to enter cells and how to overcome intracellular barriers to reach the nucleus.

Diky Mudhakir, Hideyoshi Harashima

Abstract readReview
In one paragraph

Review in The AAPS journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
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  6. Article
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  11. Article
  12. Arabidopsis Tetraspanins Facilitate Virus InfectionFrontiers in plant science · 2022
    Article
  13. Biomedical nanoparticle design: What we can learn from viruses.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Review
  14. Review
  15. Internalization mechanisms of cell-penetrating peptides.Beilstein journal of nanotechnology · 2020
    Review
  16. mTOR inhibitors lower an intrinsic barrier to virus infection mediated by IFITM3.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  17. Review
  18. Nonviral Gene Therapy for Cancer: A Review.Diseases (Basel, Switzerland) · 2018
    Review
  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

2 authors.

Diky MudhakirLaboratory for Molecular Design of Pharmaceutics, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12, Nishi-6, Kita-ku, Sapporo, 060-0812, Japan.
Hideyoshi Harashima

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses deliver their genome into host cells where they subsequently replicate and multiply. A variety of relevant strategies have evolved by which viruses gain intracellular access and utilize cellular machinery for the synthesis of their genome. Therefore, the viral journey provides insight into the cell's trafficking machinery and how it can be best exploited to improve nonviral gene delivery systems. This review summarizes viral internalization pathways and intracellular trafficking of viruses, with an emphasis on the endosomal escape processes of nonenveloped viruses. Intracellular events from viral entry through nuclear delivery of the viral complementary DNA are also discussed.

Indexed as

Virus InternalizationAdenoviridaeAnimalsCaveolaeCell NucleusClathrin-Coated VesiclesDNA, ComplementaryDNA, ViralEndocytosisGenetic TherapyHumansIntracellular MembranesMembrane FusionPore Forming Cytotoxic ProteinsReceptors, VirusSimian virus 40DNA, ComplementaryDNA, ViralPore Forming Cytotoxic ProteinsReceptors, VirusViral Fusion Proteins

Identifiers

PMID19194803
PMCPMC2664881

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.