Evidence map›Paper›PMID 22036883›Full record

ArticleNature protocols2011

Optical sensors for measuring dynamic changes of cytosolic metabolite levels in yeast.

Clara Bermejo, Farzad Haerizadeh, Hitomi Takanaga, Diane Chermak, Wolf B Frommer

Abstract read
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In one paragraph

Article in Nature protocols, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
8.9field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 80 citations in OpenAlex.

  1. Effects of Haplotypes of the Rice Sucrose Transporter GenesInternational journal of molecular sciences · 2026
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  12. Article
  13. Review
  14. Kinetic Modeling ofMetabolites · 2022
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Resolving subcellular plant metabolism.The Plant journal : for cell and molecular biology · 2019
    Article
  20. FRET Microscopy in Yeast.Biosensors · 2019
    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

5 authors at 1 institution in 2 countries.

Clara BermejoCarnegie Institution for Science, Stanford, California, USA.
Farzad Haerizadeh
Hitomi Takanaga
Diane Chermak
Wolf B Frommer
Carnegie Institution for Science · 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
6 · The paper itself

Abstract

Optical sensors allow dynamic quantification of metabolite levels with subcellular resolution. Here we describe protocols for analyzing cytosolic glucose levels in yeast using genetically encoded Förster resonance energy transfer (FRET) sensors. FRET glucose sensors with different glucose affinities (K(d)) covering the low nano- to mid- millimolar range can be targeted genetically to the cytosol or to subcellular compartments. The sensors detect the glucose-induced conformational change in the bacterial periplasmic glucose/galactose binding protein MglB using FRET between two fluorescent protein variants. Measurements can be performed with a single sensor or multiple sensors in parallel. In one approach, cytosolic glucose accumulation is measured in yeast cultures in a 96-well plate using a fluorimeter. Upon excitation of the cyan fluorescent protein (CFP), emission intensities of CFP and YFP (yellow fluorescent protein) are captured before and after glucose addition. FRET sensors provide temporally resolved quantitative data of glucose for the compartment of interest. In a second approach, reversible changes of cytosolic free glucose are measured in individual yeast cells trapped in a microfluidic platform, allowing perfusion of different solutions while FRET changes are monitored in a microscope setup. By using the microplate fluorimeter protocol, 96 cultures can be measured in less than 1 h; analysis of single cells of a single genotype can be completed in <2 h. FRET-based analysis has been performed with glucose, maltose, ATP and zinc sensors, and it can easily be adapted for high-throughput screening using a wide spectrum of sensors.

Indexed as

CytosolDose-Response Relationship, DrugFluorescenceFluorescence Resonance Energy TransferGlucoseSaccharomyces cerevisiaeTime FactorsGlucose

Identifiers

PMID22036883
OpenAlexW2031390995

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.