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In-Depth Mass Spectrometry-Based Proteomics of Formalin-Fixed, Paraffin-Embedded Tissues with a Spatial Resolution of 50–200 μm

  • Andikan J. Nwosu
    Andikan J. Nwosu
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Santosh A. Misal
    Santosh A. Misal
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Thy Truong
    Thy Truong
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
    More by Thy Truong
  • Richard H. Carson
    Richard H. Carson
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Kei G. I. Webber
    Kei G. I. Webber
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Nathaniel B. Axtell
    Nathaniel B. Axtell
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Yiran Liang
    Yiran Liang
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
    More by Yiran Liang
  • S. Madisyn Johnston
    S. Madisyn Johnston
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Kenneth L. Virgin
    Kenneth L. Virgin
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • Ethan G. Smith
    Ethan G. Smith
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • George V. Thomas
    George V. Thomas
    Knight Cancer Center, Oregon Health & Science University, Portland, Oregon 97239, United States
  • Terry Morgan
    Terry Morgan
    Department of Pathology, Oregon Health & Science University, Portland, Oregon 97239, United States
    More by Terry Morgan
  • John C. Price
    John C. Price
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
  • , and 
  • Ryan T. Kelly*
    Ryan T. Kelly
    Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
    *Email: [email protected]
Cite this: J. Proteome Res. 2022, 21, 9, 2237–2245
Publication Date (Web):August 2, 2022
https://doi.org/10.1021/acs.jproteome.2c00409
Copyright © 2022 American Chemical Society

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    Abstract

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    Formalin-fixed, paraffin-embedded (FFPE) tissues are banked in large repositories to cost-effectively preserve valuable specimens for later study. With the rapid growth of spatial proteomics, FFPE tissues can serve as a more accessible alternative to more commonly used frozen tissues. However, extracting proteins from FFPE tissues is challenging due to cross-links formed between proteins and formaldehyde. Here, we have adapted the nanoPOTS sample processing workflow, which was previously applied to single cells and fresh-frozen tissues, to profile protein expression from FFPE tissues. Following the optimization of extraction solvents, times, and temperatures, we identified an average of 1312 and 3184 high-confidence master proteins from 10 μm thick FFPE-preserved mouse liver tissue squares having lateral dimensions of 50 and 200 μm, respectively. The observed proteome coverage for FFPE tissues was on average 88% of that achieved for similar fresh-frozen tissues. We also characterized the performance of our fully automated sample preparation and analysis workflow, termed autoPOTS, for FFPE spatial proteomics. This modified nanodroplet processing in one pot for trace samples (nanoPOTS) and fully automated processing in one pot for trace sample (autoPOTS) workflows provides the greatest coverage reported to date for high-resolution spatial proteomics applied to FFPE tissues. Data are available via ProteomeXchange with identifier PXD029729.

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jproteome.2c00409.

    • AutoPOTS sample preparation workflow using the Opentrons OT-2 (Figure S1); representative Pearson correlation plots for replicate analyses of 200 μm × 200 μm sections of FFPE and frozen tissues (Figure S2); gene ontology plots with respect to cellular component, molecular function, and biological process for proteins identified in frozen and FFPE tissues (Figure S3); GRAVY score showing the relative hydrophobicity of unique peptides from 200 μm tissue squares (Figure S4); and proteome coverage achieved for 50, 100, and 200 μm fresh-frozen and FFPE tissue squares (Table S1) (PDF)

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    Cited By

    This article is cited by 3 publications.

    1. Ximena Sanchez-Avila, Thy Truong, Xiaofeng Xie, Kei G. I. Webber, S. Madisyn Johnston, Hsien-Jung L. Lin, Nathaniel B. Axtell, Veronica Puig-Sanvicens, Ryan T. Kelly. Easy and Accessible Workflow for Label-Free Single-Cell Proteomics. Journal of the American Society for Mass Spectrometry 2023, Article ASAP.
    2. S. Madisyn Johnston, Kei G. I. Webber, Xiaofeng Xie, Thy Truong, Alissia Nydegger, Hsien-Jung L. Lin, Andikan Nwosu, Ying Zhu, Ryan T. Kelly. Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics. Journal of the American Society for Mass Spectrometry 2023, 34 (8) , 1701-1707. https://doi.org/10.1021/jasms.3c00159
    3. Dong-Kyu Lee, Stanislav S. Rubakhin, Jonathan V. Sweedler. Chemical Decrosslinking-Based Peptide Characterization of Formaldehyde-Fixed Rat Pancreas Using Fluorescence-Guided Single-Cell Mass Spectrometry. Analytical Chemistry 2023, 95 (16) , 6732-6739. https://doi.org/10.1021/acs.analchem.3c00612

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