Evidence map›Paper›PMID 25708638›Full record

ArticleBiointerphases2015

ToF-SIMS of tissues: "lessons learned" from mice and women.

Lara J Gamble, Daniel J Graham, Blake Bluestein, Nicholas P Whitehead, David Hockenbery, Fionnuala Morrish, Peggy Porter

Open access · bronzeAbstract read
In one paragraph

Article in Biointerphases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 26 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

7 authors at 2 institutions in 1 country.

Lara J GambleDepartment of Bioengineering, Molecular Engineering and Sciences Building, University of Washington, Box 351653, Seattle, Washington 98195-1653.
Daniel J GrahamDepartment of Bioengineering, Molecular Engineering and Sciences Building, University of Washington, Box 351653, Seattle, Washington 98195-1653.
Blake BluesteinDepartment of Bioengineering, Molecular Engineering and Sciences Building, University of Washington, Box 351653, Seattle, Washington 98195-1653.
Nicholas P WhiteheadDepartment of Physiology and Biophysics, University of Washington, Box 357290, Seattle, Washington 98195-1653.
David HockenberyFred Hutchinson Cancer Research Center, Seattle, Washington 98109.
Fionnuala MorrishFred Hutchinson Cancer Research Center, Seattle, Washington 98109.
Peggy PorterFred Hutchinson Cancer Research Center, Seattle, Washington 98109.
University of Washington · USFred Hutch Cancer Center · US

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
NCI NIH HHS P50 CA138293NIBIB NIH HHS P41 EB002027
6 · The paper itself

Abstract

The ability to image cells and tissues with chemical and molecular specificity could greatly expand our understanding of biological processes. The subcellular resolution mass spectral imaging capability of time of flight secondary ion mass spectrometry (ToF-SIMS) has the potential to acquire chemically detailed images. However, the complexities of biological systems combined with the sensitivity of ToF-SIMS require careful planning of experimental methods. Tissue sample preparation methods of formalin fixation followed by paraffin embedding (FFPE) and OCT embedding are compared. Results show that the FFPE can potentially be used as a tissue sample preparation protocol for ToF-SIMS analysis if a cluster ion pre-sputter is used prior to analysis and if nonlipid related tissue features are the features of interest. In contrast, embedding tissue in OCT minimizes contamination and maintains lipid signals. Various data acquisition methodologies and analysis options are discussed and compared using mouse breast and diaphragm muscle tissue. Methodologies for acquiring ToF-SIMS 2D images are highlighted along with applications of multivariate analysis to better identify specific features in a tissue sections when compared to H&E images of serial sections. Identification of tissue features is necessary for researchers to visualize a molecular map that correlates with specific biological features or functions. Finally, lessons learned from sample preparation, data acquisition, and data analysis methods developed using mouse models are applied to a preliminary analysis of human breast tumor tissue sections.

Indexed as

AnimalsBreast NeoplasmsDiaphragmFemaleHumansMammary Glands, AnimalMicePathologySpectrometry, Mass, Secondary IonTissue EmbeddingTissue Fixation

Identifiers

PMID25708638
PMCPMC4327923
OpenAlexW1965760915

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.