Evidence map›Paper›PMID 19647886›Full record

ReviewVirus research2009

Adenovirus receptors and their implications in gene delivery.

Anurag Sharma, Xiaoxin Li, Dinesh S Bangari, Suresh K Mittal

Open access · greenAbstract readReview
In one paragraph

Review in Virus research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 116 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Construction and application of adenoviral vectors.Molecular therapy. Nucleic acids · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. FAdV-4 withoutMicrobiology spectrum · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Oncolytic Virotherapy in Glioma Tumors.International journal of molecular sciences · 2020
    Review
  20. Improving Molecular Therapy in the Kidney.Molecular diagnosis & therapy · 2020
    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

4 authors at 1 institution in 1 country.

Anurag SharmaDepartment of Comparative Pathobiology, School of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA.
Xiaoxin Li
Dinesh S Bangari
Suresh K Mittal
Purdue University West Lafayette · US

Funding

Nonhuman adenoviral vectors for gene therapyR01CA110176 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI MITTAL, SURESH K · 2005 to 2008
$915k
NCI NIH HHS CA110176NCI NIH HHS R01 CA110176
6 · The paper itself

Abstract

Adenoviruses (Ads) have gained popularity as gene delivery vectors for therapeutic and prophylactic applications. Ad entry into host cells involves specific interactions between cell surface receptors and viral capsid proteins. Several cell surface molecules have been identified as receptors for Ad attachment and entry. Tissue tropism of Ad vectors is greatly influenced by their receptor usage. A variety of strategies have been investigated to modify Ad vector tropism by manipulating the receptor-interacting moieties. Many such strategies are aimed at targeting and/or detargeting of Ad vectors. In this review, we discuss the various cell surface molecules that are implicated as receptors for virus attachment and internalization. Special emphasis is given to Ad types that are utilized as gene delivery vectors. Various strategies to modify Ad tropism using the knowledge of Ad receptors are also discussed.

Indexed as

Genetic VectorsVirus InternalizationAdenoviridaeAnimalsGenetic TherapyHumansReceptors, Virusadenovirus receptorReceptors, Virus

Identifiers

PMID19647886
PMCPMC2903974
OpenAlexW2037673317

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.