Evidence map›Paper›PMID 11522814›Full record

ArticleNucleic acids research2001

A critical evaluation of differential display as a tool to identify genes involved in legume nodulation: looking back and looking forward.

S Lievens, S Goormachtig, M Holsters

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 71 citations in OpenAlex.

  1. DNA barcoding of coral reef fishes from Chuuk State, Micronesia.Mitochondrial DNA. Part B, Resources · 2020
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  12. Switch from intracellular to intercellular invasion during water stress-tolerant legume nodulation.Proceedings of the National Academy of Sciences of the United States of America · 2004
    Article
  13. 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

3 authors at 1 institution in 1 country.

S LievensVakgroep Moleculaire Genetica, Departement Plantengenetica, Vlaams Interuniversitair Instituut voor Biotechnologie, Universiteit Gent, K.L. Ledeganckstraat 35, B-9000 Gent, Belgium.
S Goormachtig
M Holsters
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening for differentially expressed genes is a straightforward approach to study the molecular basis of a biological system. In the last 10 years, differential screening technology has evolved rapidly and currently high-throughput tools for genome-wide transcript profiling, such as expressed sequence tags and microarray analysis, are becoming widely available. Here, an overview of this (r)evolution is given with emphasis on the differential display method, which for many years has been the preferred technique of scientists in diverse fields of research. Differential display has also been the method of choice for the identification of genes involved in the symbiotic interaction between Azorhizobium caulinodans and Sesbania rostrata. The advantages with respect to tissue specificity of this particular model system for legume nodulation and the results of a screening for early nodulation-related genes have been considered in the context of transcriptome analyses in other rhizobium-legume interactions.

Indexed as

Gene Expression ProfilingPlants, MedicinalAzorhizobium caulinodansDNA, ComplementaryFabaceaeGene Expression Regulation, PlantGenes, PlantMolecular Sequence DataPlant RootsReverse Transcriptase Polymerase Chain ReactionRhizobiumRNA, MessengerSequence Analysis, DNASymbiosisDNA, ComplementaryRNA, Messenger

Identifiers

PMID11522814
PMCPMC55879
OpenAlexW2150476964

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.