Evidence map›Paper›PMID 16270231›Full record

ArticlePlant molecular biology2005

Hairy root-activation tagging: a high-throughput system for activation tagging in transformed hairy roots.

Hikaru Seki, Tomoko Nishizawa, Nobukazu Tanaka, Yasuo Niwa, Shigeo Yoshida, Toshiya Muranaka

Abstract read
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In one paragraph

Article in Plant molecular biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. A StableFrontiers in plant science · 2020
    Article
  4. Article
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  6. Review
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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

6 authors at 3 institutions in 1 country.

Hikaru SekiRIKEN Plant Science Center, Kanagawa, Tsurumi-ku, Yokohama 230-0045, Japan.
Tomoko Nishizawa
Nobukazu Tanaka
Yasuo Niwa
Shigeo Yoshida
Toshiya Muranaka
RIKEN Center for Sustainable Resource Science · JPHiroshima University · JPUniversity of Shizuoka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activation tagging is a powerful technique for generating gain-of-function mutants in plants. We developed a new vector system for activation tagging of genes in "transformed hairy roots". The binary vector pHR-AT (Hairy Root-Activation Tagging) and its derivative pHR-AT-GFP contain a cluster of rol (rooting locus) genes together with the right border facing four tandem repeats of the cauliflower mosaic virus (CaMV) 35S enhancer element on the same T-DNA. Transformation experiments using Arabidopsis, potato, and tobacco as model plants revealed that upon inoculating plants with Agrobacterium tumefaciens harboring these vectors, a large number of independently transformed roots could be induced from explants within a short period of time, and root culture lines were subsequently established. Molecular analyses of the pHR-AT-GFP-transformed Arabidopsis lines showed that expression of the genes adjacent to the T-DNA insertion site was significantly increased. This system may facilitate application of the activation-tagging approach to plant species that are recalcitrant to the regeneration of transgenic plants. High-throughput metabolic profiling of activation-tagged root culture lines will offer opportunities for identifying regulatory or biosynthetic genes for the production of valuable secondary metabolites of interest.

Indexed as

Transformation, GeneticArabidopsisBlotting, SouthernCells, CulturedDNA, BacterialGene Expression Regulation, PlantGenes, PlantGenes, ReporterGenetic EngineeringGenetic VectorsNicotianaPlant RootsRhizobiumSolanum tuberosumDNA, BacterialT-DNA

Identifiers

PMID16270231
OpenAlexW2092855668

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.