Evidence map›Paper›PMID 19138219›Full record

ReviewThe New phytologist2008

Quantitative imaging for discovery and assembly of the metabo-regulome.

Sakiko Okumoto, Hitomi Takanaga, Wolf B Frommer

Open access · greenAbstract readReview
In one paragraph

Review in The New phytologist, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Visualization of plant cell wall lignification using fluorescence-tagged monolignols.The Plant journal : for cell and molecular biology · 2013
    Article
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  10. Review
  11. Review
  12. Article
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  14. Review
  15. Article
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  17. Article
  18. Article
  19. Review
  20. 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 2 institutions in 1 country.

Sakiko OkumotoPlant Pathology, Physiology, and Weed Science Department, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
Hitomi TakanagaCarnegie Institution for Science, Department of Plant Biology, 260 Panama St., Stanford, CA 94305, USA.
Wolf B FrommerCarnegie Institution for Science, Department of Plant Biology, 260 Panama St., Stanford, CA 94305, USA.
Carnegie Institution for Science · USVirginia Tech · US

Funding

Sugar signaling networks detected by high content fluxomicxR01DK079109 · NIDDK · CARNEGIE INSTITUTION OF WASHINGTON, D.C. · PI FROMMER, WOLF B · 2007 to 2010
$2.1M
NIDDK NIH HHS 1R01DK079109-01NIDDK NIH HHS R01 DK079109
6 · The paper itself

Abstract

Little is known about regulatory networks that control metabolic flux in plant cells. Detailed understanding of regulation is crucial for synthetic biology. The difficulty of measuring metabolites with cellular and subcellular precision is a major roadblock. New tools have been developed for monitoring extracellular, cytosolic, organellar and vacuolar ion and metabolite concentrations with a time resolution of milliseconds to hours. Genetically encoded sensors allow quantitative measurement of steady-state concentrations of ions, signaling molecules and metabolites and their respective changes over time. Fluorescence resonance energy transfer (FRET) sensors exploit conformational changes in polypeptides as a proxy for analyte concentrations. Subtle effects of analyte binding on the conformation of the recognition element are translated into a FRET change between two fused green fluorescent protein (GFP) variants, enabling simple monitoring of analyte concentrations using fluorimetry or fluorescence microscopy. Fluorimetry provides information averaged over cell populations, while microscopy detects differences between cells or populations of cells. The genetically encoded sensors can be targeted to subcellular compartments or the cell surface. Confocal microscopy ultimately permits observation of gradients or local differences within a compartment. The FRET assays can be adapted to high-throughput analysis to screen mutant populations in order to systematically identify signaling networks that control individual steps in metabolic flux.

Indexed as

Metabolic Networks and PathwaysFluorescence Resonance Energy TransferGlucoseMetabolomicsPlant CellsPlantsGlucose

Identifiers

PMID19138219
PMCPMC2663047
OpenAlexW2099190296

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.