Evidence map›Paper›PMID 12468722›Full record

ArticleThe Plant cell2002

A high-throughput Arabidopsis reverse genetics system.

Allen Sessions, Ellen Burke, Gernot Presting, George Aux, John McElver, David Patton, Bob Dietrich, Patrick Ho, Johana Bacwaden, Cynthia Ko and 12 more

Open access · greenAbstract read
In one paragraph

Article in The Plant cell, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 479 papers.

0numbers the graph read from it
0cells of the map it votes in
479citing papers in PubMed
54.9field-weighted citation impact, top 1% 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

479 citing papers in PubMed, 961 citations in OpenAlex.

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419 more citing papers are in PubMed but not listed here.

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

22 authors at 2 institutions in 1 country.

Allen SessionsTorrey Mesa Research Institute, Syngenta, 3115 Merryfield Row, San Diego, California 92121, USA. allen.sessions@syngenta.com
Ellen Burke
Gernot Presting
George Aux
John McElver
David Patton
Bob Dietrich
Patrick Ho
Johana Bacwaden
Cynthia Ko
Joseph D Clarke
David Cotton
David Bullis
Jennifer Snell
Trini Miguel
Don Hutchison
Bill Kimmerly
Theresa Mitzel
Fumiaki Katagiri
Jane Glazebrook
Marc Law
Stephen A Goff
Syngenta (United States) · USTorrey Pines Institute For Molecular Studies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A collection of Arabidopsis lines with T-DNA insertions in known sites was generated to increase the efficiency of functional genomics. A high-throughput modified thermal asymmetric interlaced (TAIL)-PCR protocol was developed and used to amplify DNA fragments flanking the T-DNA left borders from approximately 100000 transformed lines. A total of 85108 TAIL-PCR products from 52964 T-DNA lines were sequenced and compared with the Arabidopsis genome to determine the positions of T-DNAs in each line. Predicted T-DNA insertion sites, when mapped, showed a bias against predicted coding sequences. Predicted insertion mutations in genes of interest can be identified using Arabidopsis Gene Index name searches or by BLAST (Basic Local Alignment Search Tool) search. Insertions can be confirmed by simple PCR assays on individual lines. Predicted insertions were confirmed in 257 of 340 lines tested (76%). This resource has been named SAIL (Syngenta Arabidopsis Insertion Library) and is available to the scientific community at www.tmri.org.

Indexed as

Agrobacterium tumefaciensArabidopsisBinding SitesChromosomes, PlantDatabases, GeneticDNA, BacterialDNA, PlantGenome, PlantInternetMutagenesis, InsertionalPlants, Genetically ModifiedPolymerase Chain ReactionSeedsSequence Analysis, DNADNA, BacterialDNA, PlantT-DNA

Identifiers

PMID12468722
PMCPMC151197
OpenAlexW2143142471

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.