Evidence map›Paper›PMID 22036884›Full record

ArticleNature protocols2011

Optical sensors for monitoring dynamic changes of intracellular metabolite levels in mammalian cells.

Bi-Huei Hou, Hitomi Takanaga, Guido Grossmann, Li-Qing Chen, Xiao-Qing Qu, Alexander M Jones, Sylvie Lalonde, Oliver Schweissgut, Wolfgang Wiechert, 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 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
11.7field-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

59 citing papers in PubMed, 120 citations in OpenAlex.

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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

10 authors at 3 institutions in 3 countries.

Bi-Huei HouCarnegie Institution for Science, Stanford, California, USA.
Hitomi Takanaga
Guido Grossmann
Li-Qing Chen
Xiao-Qing Qu
Alexander M Jones
Sylvie Lalonde
Oliver Schweissgut
Wolfgang Wiechert
Wolf B Frommer
Carnegie Institution for Science · USForschungszentrum Jülich · DEChina Agricultural University · CN

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

Knowledge of the in vivo levels, distribution and flux of ions and metabolites is crucial to our understanding of physiology in both healthy and diseased states. The quantitative analysis of the dynamics of ions and metabolites with subcellular resolution in vivo poses a major challenge for the analysis of metabolic processes. Genetically encoded Förster resonance energy transfer (FRET) sensors can be used for real-time in vivo detection of metabolites. FRET sensor proteins, for example, for glucose, can be targeted genetically to any cellular compartment, or even to subdomains (e.g., a membrane surface), by adding signal sequences or fusing the sensors to specific proteins. The sensors can be used for analyses in individual mammalian cells in culture, in tissue slices and in intact organisms. Applications include gene discovery, high-throughput drug screens or systematic analysis of regulatory networks affecting uptake, efflux and metabolism. Quantitative analyses obtained with the help of FRET sensors for glucose or other ions and metabolites provide valuable data for modeling of flux. Here we provide a detailed protocol for monitoring glucose levels in the cytosol of mammalian cell cultures through the use of FRET glucose sensors; moreover, the protocol can be used for other ions and metabolites and for analyses in other organisms, as has been successfully demonstrated in bacteria, yeast and even intact plants. The whole procedure typically takes ∼4 d including seeding and transfection of mammalian cells; the FRET-based analysis of transfected cells takes ∼5 h.

Indexed as

AnimalsCell LineFluorescence Resonance Energy TransferGlucoseHumansGlucose

Identifiers

PMID22036884
OpenAlexW2062782048

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.