Evidence map›Paper›PMID 29276427›Full record

ArticleInternational journal of mass spectrometry2017

Quantitative imaging of deuterated metabolic tracers in biological tissues with nanoscale secondary ion mass spectrometry.

Christelle Guillermier, J Collin Poczatek, Walter R Taylor, Matthew L Steinhauser

Open access · greenAbstract read
In one paragraph

Article in International journal of mass spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Biological explorations with nanoscale secondary ion mass spectrometry.Journal of analytical atomic spectrometry · 2019
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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

4 authors at 1 institution in 1 country.

Christelle GuillermierCenter for NanoImaging, Brigham and Women's Hospital, Cambridge MA.
J Collin PoczatekCenter for NanoImaging, Brigham and Women's Hospital, Cambridge MA.
Walter R TaylorCenter for NanoImaging, Brigham and Women's Hospital, Cambridge MA.
Matthew L SteinhauserCenter for NanoImaging, Brigham and Women's Hospital, Cambridge MA.
Brigham and Women's Hospital · US

Funding

A new modality to image tumor metabolic heterogeneity at subcellular resolutionDP2CA216362 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINHAUSER, MATTHEW · 2016 to 2016
$2.7M
NCI NIH HHS DP2 CA216362
6 · The paper itself

Abstract

In the field of secondary ion mass spectrometry at nanometer scale (NanoSIMS), configuration of parallel detectors to routinely measure isotope ratios in sub-100 nm domains brings classical stable isotope tracer studies from the whole tissue level down to the suborganelle level. Over the past decade, the marriage of stable isotope tracers with NanoSIMS has been applied to a range of fundamental biological questions that were largely inaccessible by other means. Although multiplexed measurement of different stable isotope tracers is feasible, in practice there remains a gap in the current analytical capacity to efficiently measure stable isotopes commonly utilized in tracer studies. One such example is the measurement of deuterated tracers. The most obvious approach to measuring deuterium/hydrogen isotope ratios is at mass 2/1. However, the radius of the magnetic sector limits concomitant measurement of other masses critical to multiplexed exploration of biological samples. Here we determine the experimental parameters to measure deuterated tracers in biological samples using the C

Identifiers

PMID29276427
PMCPMC5739342
OpenAlexW2746934479

What OpenQuestion holds

Textmetadata
LicenceTDM
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.