Evidence map›Paper›PMID 19704525›Full record

ArticlePlant signaling & behavior2008

Brassinosteroids, de-etiolation and the re-emerging art of plant hormone quantification.

Gregory M Symons, James B Reid

Abstract read
In one paragraph

Article in Plant signaling & behavior, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

2 authors.

Gregory M SymonsSchool of Plant Science; University of Tasmania; Hobart, Tasmania Australia.
James B Reid

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increase in the use of molecular techniques has provided a significant insight into the function of genes, and how they are regulated and interact. However, in the field of plant hormone physiology, the increased use of these techniques has been accompanied by a reduction in the direct measurement of plant hormone levels by physiochemical methods. Instead, the transcript (mRNA) levels of genes involved in hormone metabolism are often used to predict endogenous hormone levels. The validity of this approach was recently tested by comparing the expression of a range of genes involved in BR synthesis, catabolism and perception, with the actual endogenous BR levels in pea seedlings grown under different light conditions.1,2 Based on this comparison, we now argue that gene expression analysis alone is not always a reliable indicator of endogenous hormone levels.

Indexed as

brassinosteroidde-etiolationgene expressionhormone levels

Identifiers

PMID19704525
PMCPMC2634400

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.