Literature DB >> 26970438

Protein biomarkers on tissue as imaged via MALDI mass spectrometry: A systematic approach to study the limits of detection.

Stephanie M W Y van de Ven1,2, Kyle D Bemis3, Kenneth Lau1, Ravali Adusumilli1,2, Uma Kota1,4, Mark Stolowitz1,2, Olga Vitek5, Parag Mallick1,2, Sanjiv S Gambhir1,2,6,7.   

Abstract

MALDI mass spectrometry imaging (MSI) is emerging as a tool for protein and peptide imaging across tissue sections. Despite extensive study, there does not yet exist a baseline study evaluating the potential capabilities for this technique to detect diverse proteins in tissue sections. In this study, we developed a systematic approach for characterizing MALDI-MSI workflows in terms of limits of detection, coefficients of variation, spatial resolution, and the identification of endogenous tissue proteins. Our goal was to quantify these figures of merit for a number of different proteins and peptides, in order to gain more insight in the feasibility of protein biomarker discovery efforts using this technique. Control proteins and peptides were deposited in serial dilutions on thinly sectioned mouse xenograft tissue. Using our experimental setup, coefficients of variation were <30% on tissue sections and spatial resolution was 200 μm (or greater). Limits of detection for proteins and peptides on tissue were in the micromolar to millimolar range. Protein identification was only possible for proteins present in high abundance in the tissue. These results provide a baseline for the application of MALDI-MSI towards the discovery of new candidate biomarkers and a new benchmarking strategy that can be used for comparing diverse MALDI-MSI workflows.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Limit of detection; MALDI Imaging; Mass spectrometry; Protein biomarkers; Sensitivity; Technology

Mesh:

Substances:

Year:  2016        PMID: 26970438     DOI: 10.1002/pmic.201500515

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

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Journal:  Sci Rep       Date:  2019-07-23       Impact factor: 4.379

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Authors:  Melanie Christine Föll; Lennart Moritz; Thomas Wollmann; Maren Nicole Stillger; Niklas Vockert; Martin Werner; Peter Bronsert; Karl Rohr; Björn Andreas Grüning; Oliver Schilling
Journal:  Gigascience       Date:  2019-12-01       Impact factor: 6.524

3.  Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution.

Authors:  Paul D Piehowski; Ying Zhu; Lisa M Bramer; Kelly G Stratton; Rui Zhao; Daniel J Orton; Ronald J Moore; Jia Yuan; Hugh D Mitchell; Yuqian Gao; Bobbie-Jo M Webb-Robertson; Sudhansu K Dey; Ryan T Kelly; Kristin E Burnum-Johnson
Journal:  Nat Commun       Date:  2020-01-07       Impact factor: 14.919

  3 in total

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