Evidence map›Paper›PMID 24556558›Full record

ArticleMethods (San Diego, Calif.)2014

Stable isotope imaging of biological samples with high resolution secondary ion mass spectrometry and complementary techniques.

H Jiang, E Favaro, C N Goulbourne, P D Rakowska, G M Hughes, M G Ryadnov, L G Fong, S G Young, D J P Ferguson, A L Harris and 1 more

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Peroxidasin-mediated bromine enrichment of basement membranes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. NanoSIMS imaging: an approach for visualizing and quantifying lipids in cells and tissues.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2017
    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

11 authors.

H JiangMaterials Department, Oxford University, Oxford, UK. Electronic address: haibo.jiang@materials.ox.ac.uk.
E FavaroWeatherall Institute of Molecular Medicine, Oxford University, Oxford, UK.
C N GoulbourneDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
P D RakowskaNational Physical Laboratory, Teddington, UK; Department of Chemistry, University College London, London, UK.
G M HughesMaterials Department, Oxford University, Oxford, UK.
M G RyadnovNational Physical Laboratory, Teddington, UK; School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
L G FongDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
S G YoungDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA; Department of Human Genetics, University of California Los Angeles, Los Angeles, USA.
D J P FergusonNuffield Department of Clinical Laboratory Science, University of Oxford, John Radcliffe Hospital, Oxford, UK.
A L HarrisWeatherall Institute of Molecular Medicine, Oxford University, Oxford, UK.
C R M GrovenorMaterials Department, Oxford University, Oxford, UK.

Funding

The Lipin Protein Family and Triglyceride Metabolism P01HL090553 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, STEPHEN G. · 2008 to 2018
$23.3M
Refining Physiologic Mechanisms for Intravascular Triglyceride MetabolismR01HL087228 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEIGNEUX, ANNE, FONG, LOREN GI · 2007 to 2024
$7.8M
NHLBI NIH HHS HL087228NHLBI NIH HHS HL090553NHLBI NIH HHS P01 HL090553NHLBI NIH HHS R01 HL087228
6 · The paper itself

Abstract

Stable isotopes are ideal labels for studying biological processes because they have little or no effect on the biochemical properties of target molecules. The NanoSIMS is a tool that can image the distribution of stable isotope labels with up to 50 nm spatial resolution and with good quantitation. This combination of features has enabled several groups to undertake significant experiments on biological problems in the last decade. Combining the NanoSIMS with other imaging techniques also enables us to obtain not only chemical information but also the structural information needed to understand biological processes. This article describes the methodologies that we have developed to correlate atomic force microscopy and backscattered electron imaging with NanoSIMS experiments to illustrate the imaging of stable isotopes at molecular, cellular, and tissue scales. Our studies make it possible to address 3 biological problems: (1) the interaction of antimicrobial peptides with membranes; (2) glutamine metabolism in cancer cells; and (3) lipoprotein interactions in different tissues.

Indexed as

Antimicrobial Cationic PeptidesCell Line, TumorCell MembraneGlutamineHumansIsotope LabelingLipoproteinsMicroscopy, Atomic ForceNanotechnologyNeoplasmsSpectrometry, Mass, Secondary IonTissue DistributionAntimicrobial Cationic PeptidesGlutamineLipoproteinsAtomic force microscopyBackscattered electron imagingCorrelative analysisNanoSIMSStable isotope

Identifiers

PMID24556558
PMCPMC4222523

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.