Evidence map›Paper›PMID 12124400›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2002

Increasing plant susceptibility to Agrobacterium infection by overexpression of the Arabidopsis nuclear protein VIP1.

Tzvi Tzfira, Manjusha Vaidya, Vitaly Citovsky

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Generation and Assessment of Soybean (Life (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Review
  5. MKK4/5-MPK3/6 Cascade RegulatesFrontiers in plant science · 2021
    Article
  6. Frontiers in plant science · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Pathways of DNA Transfer to Plants fromAnnual review of phytopathology · 2019
    Article
  11. Article
  12. Article
  13. Frontiers in plant science · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

3 authors.

Tzvi TzfiraDepartment of Biochemistry and Cell Biology, State University of New York, Stony Brook, NY 11794-5215, USA.
Manjusha Vaidya
Vitaly Citovsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agrobacterium is a unique model system as well as a major biotechnological tool for genetic manipulation of plant cells. It is still unknown, however, whether host cellular factors exist that are limiting for infection, and whether their overexpression in plant cells can increase the efficiency of the infection. Here, we examined the effect of overexpression in tobacco plants of an Arabidopsis gene, VIP1, which encodes a recently discovered cellular protein required for Agrobacterium infection. Our results indicate that VIP1 is imported into the plant cell nucleus via the karyopherin alphadependent pathway and that elevated intracellular levels of VIP1 render the host plants significantly more susceptible to transient and stable genetic transformation by Agrobacterium, probably because of the increased nuclear import of the transferred-DNA.

Indexed as

Plant Diseasesalpha KaryopherinsArabidopsisArabidopsis ProteinsBiological TransportGene ExpressionNicotianaNuclear ProteinsPlants, Genetically ModifiedRecombinant Fusion ProteinsRhizobiumalpha KaryopherinsArabidopsis ProteinsNuclear ProteinsRecombinant Fusion ProteinsVIP1 protein, Arabidopsis

Identifiers

PMID12124400
PMCPMC124932

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.