Evidence map›Paper›PMID 35046045›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Development and quantitative analysis of a biosensor based on the Arabidopsis SWEET1 sugar transporter.

Jihyun Park, Taylor M Chavez, Jordan A Guistwhite, Sojeong Gwon, Wolf B Frommer, Lily S Cheung

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. 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
2.9field-weighted citation impact, top 10% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 3 institutions in 3 countries.

Jihyun ParkSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332.ORCID 0000-0002-1926-3607
Taylor M ChavezDepartment of Bioengineering, Stanford University, Stanford, CA 94305.ORCID 0000-0002-3697-3475
Jordan A GuistwhiteSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332.ORCID 0000-0002-7160-5408
Sojeong GwonSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332.ORCID 0000-0002-2216-3092
Wolf B FrommerInstitute for Molecular Physiology, Cluster of Excellence on Plant Sciences, Heinrich Heine Universität Düsseldorf, D-40225 Düsseldorf, Germany.ORCID 0000-0001-6465-0115
Lily S CheungSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332; lily.cheung@gatech.edu.ORCID 0000-0001-8089-7783
Georgia Institute of Technology · USCluster of Excellence on Plant Sciences · DEStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SWEETs are transporters with homologs in Archeae, plants, some fungi, and animals. As the only transporters known to facilitate the cellular release of sugars in plants, SWEETs play critical roles in the allocation of sugars from photosynthetic leaves to storage tissues in seeds, fruits, and tubers. Here, we report the design and use of genetically encoded biosensors to measure the activity of SWEETs. We created a SweetTrac1 sensor by inserting a circularly permutated green fluorescent protein into the

Indexed as

Biosensing TechniquesArabidopsisArabidopsis ProteinsBiological TransportMonosaccharide Transport ProteinsSugarsArabidopsis ProteinsMonosaccharide Transport ProteinsSugarsSWEET1 protein, Arabidopsisbiomolecular sensorsfluorescence microscopySWEET sugar transporters

Identifiers

PMID35046045
PMCPMC8794804
OpenAlexW4205564386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.