Literature DB >> 26757076

The use of matrix coating assisted by an electric field (MCAEF) to enhance mass spectrometric imaging of human prostate cancer biomarkers.

Xiaodong Wang1, Jun Han1, Darryl B Hardie1, Juncong Yang1, Christoph H Borchers1,2.   

Abstract

In this work, we combined a newly developed matrix coating technique - matrix coating assisted by an electric field (MCAEF) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) to enhance the imaging of peptides and proteins in tissue specimens of human prostate cancer. MCAEF increased the signal-to-noise ratios of the detected proteins by a factor of 2 to 5, and 232 signals were detected within the m/z 3500-37500 mass range on a time-of-flight mass spectrometer and with the sinapinic acid MALDI matrix. Among these species, three proteins (S100-A9, S100-A10, and S100-A12) were only observed in the cancerous cell region and 14 proteins, including a fragment of mitogen-activated protein kinase/extracellular signal-regulated kinase kinase kinase 2, a fragment of cAMP-regulated phosphoprotein 19, 3 apolipoproteins (C-I, A-I, and A-II), 2 S100 proteins (A6 and A8), β-microseminoprotein, tumor protein D52, α-1-acid glycoprotein 1, heat shock protein β-1, prostate-specific antigen, and 2 unidentified large peptides at m/z 5002.2 and 6704.2, showed significantly differential distributions at the p < 0.05 (t-test) level between the cancerous and the noncancerous regions of the tissue. Among these 17 species, the distributions of apolipoprotein C-I, S100-A6, and S100-A8 were verified by immunohistological staining. In summary, this study resulted in the imaging of the largest group of proteins in prostate cancer tissues by MALDI-MS reported thus far, and is the first to show a correlation between S100 proteins and prostate cancer in a MS imaging study. The successful imaging of the three proteins only found in the cancerous tissues, as well as those showing differential expressions demonstrated the potential of MCAEF-MALDI/MS for the in situ detection of potential cancer biomarkers.
Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  biomarkers; matrix coating assisted by an electric field (MCAEF); matrix-assisted laser desorption/ionization mass spectrometry; prostate cancer; tissue imaging

Mesh:

Substances:

Year:  2016        PMID: 26757076     DOI: 10.1002/jms.3728

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  4 in total

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Authors:  Ming Lin; Jiamin Xu; Zhimin Liu; Liang Qin; Xiaodong Wang; Xiaoping Pu
Journal:  Neurosci Bull       Date:  2020-09-07       Impact factor: 5.203

Review 2.  Prostate cancer diagnosis and characterization with mass spectrometry imaging.

Authors:  Annika Kurreck; Lindsey A Vandergrift; Taylor L Fuss; Piet Habbel; Nathalie Y R Agar; Leo L Cheng
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-12-05       Impact factor: 5.554

3.  An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer.

Authors:  Meng-Lu Zeng; Xian-Jin Zhu; Jin Liu; Peng-Chong Shi; Yan-Li Kang; Zhen Lin; Ying-Ping Cao
Journal:  Biomed Res Int       Date:  2020-11-26       Impact factor: 3.411

4.  Spatially resolved analysis of Pseudomonas aeruginosa biofilm proteomes measured by laser ablation sample transfer.

Authors:  Aruni Chathurya Pulukkody; Yeni P Yung; Fabrizio Donnarumma; Kermit K Murray; Ross P Carlson; Luke Hanley
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

  4 in total

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