Cargando…

Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues

Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially...

Descripción completa

Detalles Bibliográficos
Autores principales: Woolman, Michael, Gribble, Adam, Bluemke, Emma, Zou, Jing, Ventura, Manuela, Bernards, Nicholas, Wu, Megan, Ginsberg, Howard J., Das, Sunit, Vitkin, Alex, Zarrine-Afsar, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428042/
https://www.ncbi.nlm.nih.gov/pubmed/28352074
http://dx.doi.org/10.1038/s41598-017-00272-y
_version_ 1783235750286852096
author Woolman, Michael
Gribble, Adam
Bluemke, Emma
Zou, Jing
Ventura, Manuela
Bernards, Nicholas
Wu, Megan
Ginsberg, Howard J.
Das, Sunit
Vitkin, Alex
Zarrine-Afsar, Arash
author_facet Woolman, Michael
Gribble, Adam
Bluemke, Emma
Zou, Jing
Ventura, Manuela
Bernards, Nicholas
Wu, Megan
Ginsberg, Howard J.
Das, Sunit
Vitkin, Alex
Zarrine-Afsar, Arash
author_sort Woolman, Michael
collection PubMed
description Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially targeted MS analysis workflows based on polarized light imaging guidance that use the same tissue sample for survey and targeted analysis. The first workflow is applicable for thin-slice analysis, and uses transmission-polarimetry-guided Desorption ElectroSpray Ionization Mass Spectrometry (DESI-MS), and confirmatory H&E histopathology analysis on the same slice; this is validated using quantitative digital pathology methods. The second workflow explores a polarimetry-guided MS platform for thick tissue assessment by developing reflection-mode polarimetric imaging coupled with a hand-held Picosecond InfraRed Laser (PIRL) MS ablation probe that requires minimal tissue removal to produce detectable signal. Tissue differentiation within 5–10 s of sampling with the hand-held probe is shown using multivariate statistical methods of the MS profiles. Both workflows were tasked with differentiating necrotic cancer sites from viable cancers using a breast tumour model, and their performance was evaluated. The use of the same tissue surface addresses mismatches in guidance due to intrinsic changes in tissue morphology over consecutive sections.
format Online
Article
Text
id pubmed-5428042
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-54280422017-05-15 Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues Woolman, Michael Gribble, Adam Bluemke, Emma Zou, Jing Ventura, Manuela Bernards, Nicholas Wu, Megan Ginsberg, Howard J. Das, Sunit Vitkin, Alex Zarrine-Afsar, Arash Sci Rep Article Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially targeted MS analysis workflows based on polarized light imaging guidance that use the same tissue sample for survey and targeted analysis. The first workflow is applicable for thin-slice analysis, and uses transmission-polarimetry-guided Desorption ElectroSpray Ionization Mass Spectrometry (DESI-MS), and confirmatory H&E histopathology analysis on the same slice; this is validated using quantitative digital pathology methods. The second workflow explores a polarimetry-guided MS platform for thick tissue assessment by developing reflection-mode polarimetric imaging coupled with a hand-held Picosecond InfraRed Laser (PIRL) MS ablation probe that requires minimal tissue removal to produce detectable signal. Tissue differentiation within 5–10 s of sampling with the hand-held probe is shown using multivariate statistical methods of the MS profiles. Both workflows were tasked with differentiating necrotic cancer sites from viable cancers using a breast tumour model, and their performance was evaluated. The use of the same tissue surface addresses mismatches in guidance due to intrinsic changes in tissue morphology over consecutive sections. Nature Publishing Group UK 2017-03-28 /pmc/articles/PMC5428042/ /pubmed/28352074 http://dx.doi.org/10.1038/s41598-017-00272-y Text en © The Author(s) 2017 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Woolman, Michael
Gribble, Adam
Bluemke, Emma
Zou, Jing
Ventura, Manuela
Bernards, Nicholas
Wu, Megan
Ginsberg, Howard J.
Das, Sunit
Vitkin, Alex
Zarrine-Afsar, Arash
Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
title Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
title_full Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
title_fullStr Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
title_full_unstemmed Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
title_short Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
title_sort optimized mass spectrometry analysis workflow with polarimetric guidance for ex vivo and in situ sampling of biological tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428042/
https://www.ncbi.nlm.nih.gov/pubmed/28352074
http://dx.doi.org/10.1038/s41598-017-00272-y
work_keys_str_mv AT woolmanmichael optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT gribbleadam optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT bluemkeemma optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT zoujing optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT venturamanuela optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT bernardsnicholas optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT wumegan optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT ginsberghowardj optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT dassunit optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT vitkinalex optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues
AT zarrineafsararash optimizedmassspectrometryanalysisworkflowwithpolarimetricguidanceforexvivoandinsitusamplingofbiologicaltissues