Evidence map›Paper›PMID 37540369›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

The GUS Reporter System in Flower Development Studies.

Janaki S Mudunkothge, C Nathan Hancock, Beth A Krizek

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Evaluation of Parameters AffectingPlants (Basel, Switzerland) · 2024
    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 at 2 institutions in 1 country.

Janaki S MudunkothgeDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA.
C Nathan HancockDepartment of Biology and Geology, University of South Carolina Aiken, Aiken, SC, USA.
Beth A KrizekDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA. krizek@sc.edu.
University of South Carolina · USUniversity of South Carolina Aiken · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The β-glucuronidase (GUS) reporter gene system is an important technique with versatile uses in the study of flower development in a broad range of species. Transcriptional and translational GUS fusions are used to characterize gene and protein expression patterns, respectively, during reproductive development. Additionally, GUS reporters can be used to map cis-regulatory elements within promoter sequences and to investigate whether genes are regulated post-transcriptionally. Gene trap/enhancer trap GUS constructs can be used to identify novel genes involved in flower development and marker lines useful in mutant characterization. Flower development studies primarily have used the histochemical assay in which inflorescence tissue from transgenic plants containing GUS reporter genes are stained for GUS activity and examined as whole-mounts or subsequently embedded into wax and examined as tissue sections. In addition, quantitative GUS activity assays can be performed on either floral extracts or intact flowers using a fluorogenic GUS substrate. Another use of GUS reporters is as a screenable marker for plant transformation. A simplified histochemical GUS assay can be used to quickly identify transgenic tissues.

Indexed as

FlowersGlucuronidaseGene Expression Regulation, PlantGenes, ReporterPlants, Genetically ModifiedPromoter Regions, GeneticGlucuronidaseFluorometric assayGUSHistochemical stainingMUGReporter geneSectionsTranscriptional reporterTranslational reporterX-Gluc

Identifiers

PMID37540369
OpenAlexW4385563891

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.