Evidence map›Paper›PMID 28683074›Full record

ArticlePloS one2017

Three-dimensional spatiotemporal tracking of fluorine-18 radiolabeled yeast cells via positron emission particle tracking.

Seth T Langford, Cody S Wiggins, Roque Santos, Melinda Hauser, Jeffrey M Becker, Arthur E Ruggles

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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 2 institutions in 2 countries.

Seth T LangfordDepartment of Nuclear Engineering, University of Tennessee-Knoxville, Knoxville, Tennessee, United States of America.
Cody S WigginsDepartment of Physics and Astronomy, University of Tennessee-Knoxville, Knoxville, Tennessee, United States of America.ORCID http://orcid.org/0000-0001-8767-8866
Roque SantosDepartment of Nuclear Engineering, University of Tennessee-Knoxville, Knoxville, Tennessee, United States of America.
Melinda HauserDepartment of Microbiology, University of Tennessee-Knoxville, Knoxville, Tennessee, United States of America.
Jeffrey M BeckerDepartment of Microbiology, University of Tennessee-Knoxville, Knoxville, Tennessee, United States of America.
Arthur E RugglesDepartment of Nuclear Engineering, University of Tennessee-Knoxville, Knoxville, Tennessee, United States of America.
Knoxville College · USUniversity of Tennessee at Knoxville · US

Funding

The quiesome and signalosome of a model GPCRR01GM112496 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI BECKER, JEFFREY M. · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM112496
6 · The paper itself

Abstract

A method for Positron Emission Particle Tracking (PEPT) based on optical feature point identification techniques is demonstrated for use in low activity tracking experiments. A population of yeast cells of approximately 125,000 members is activated to roughly 55 Bq/cell by 18F uptake. An in vitro particle tracking experiment is performed with nearly 20 of these cells after decay to 32 Bq/cell. These cells are successfully identified and tracked simultaneously in this experiment. This work extends the applicability of PEPT as a cell tracking method by allowing a number of cells to be tracked together, and demonstrating tracking for very low activity tracers.

Indexed as

Fluorine RadioisotopesPositron-Emission TomographySaccharomyces cerevisiaeFluorine Radioisotopes

Identifiers

PMID28683074
PMCPMC5500330
OpenAlexW2730915376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.