Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Proteomic approach to discover human cancer viruses from formalin-fixed tissues
Tuna Toptan, … , Yuan Chang, Patrick S. Moore
Tuna Toptan, … , Yuan Chang, Patrick S. Moore
Published October 15, 2020
Citation Information: JCI Insight. 2020;5(22):e143003. https://doi.org/10.1172/jci.insight.143003.
View: Text | PDF
Resource and Technical Advance Virology

Proteomic approach to discover human cancer viruses from formalin-fixed tissues

  • Text
  • PDF
Abstract

The challenge of discovering a completely new human tumor virus of unknown phylogeny or sequence depends on detecting viral molecules and differentiating them from host molecules in the virus-associated neoplasm. We developed differential peptide subtraction (DPS) using differential mass spectrometry (dMS) followed by targeted analysis to facilitate this discovery. We validated this approach by analyzing Merkel cell carcinoma (MCC), an aggressive human neoplasm, in which ~80% of cases are caused by the human Merkel cell polyomavirus (MCV). Approximately 20% of MCC have a high mutational burden and are negative for MCV, but are microscopically indistinguishable from virus positive cases. Using 23 (12 MCV+, 11 MCV–) formalin-fixed MCC, DPS identified both viral and human biomarkers (MCV large T antigen, CDKN2AIP, SERPINB5, and TRIM29) that discriminate MCV+ and MCV– MCC. Statistical analysis of 498,131 dMS features not matching the human proteome by DPS revealed 562 (0.11%) to be upregulated in virus-infected samples. Remarkably, 4 (20%) of the top 20 candidate MS spectra originated from MCV T oncoprotein peptides and confirmed by reverse translation degenerate oligonucleotide sequencing. DPS is a robust proteomic approach to identify potentially novel viral sequences in infectious tumors when nucleic acid–based methods are not feasible.

Authors

Tuna Toptan, Pamela S. Cantrell, Xuemei Zeng, Yang Liu, Mai Sun, Nathan A. Yates, Yuan Chang, Patrick S. Moore

×

Figure 1

DPS can detect de novo the presence of a tumor virus.

Options: View larger image (or click on image) Download as PowerPoint
DPS can detect de novo the presence of a tumor virus.
(A) Workflow for d...
(A) Workflow for dMS sample processing and instrumental analysis. Step 1: deparaffinization, antigen retrieval, and lysis. A total of 10 μL from each sample (n = 23) was combined and aliquoted into 9 technical replicates. Step 2: FASP digestion. Each sample was normalized to 30 μg. A total of 750 fmol of ovalbumin was added as an internal standard. A pooled instrument control was made by combining 5 μL from each sample (n = 32). Samples (n = 33) were reordered. Step 3: nLC-MS/MS analysis. Injection of ~0.2 μg on to C18 Picochip column Orbitrap Velos Pro and analysis. (B) Schematic illustration of MCV T antigen transcripts. Small T (yellow, Frame 1) and Large T (yellow, Frame 1; orange, Frame 3) transcripts from the early region including start, splice, and termination sites are shown. Both small T and large T encode DnaJ domain. Small T and MCV unique domains, origin binding (OBD), zinc finger, ATPase, and helicase domains are depicted. The location of mutations and deletions found in MCC tumor large T are highlighted with a gray line. Positions of the 4 MCV peptides identified by dMS analysis are indicated with green, orange, purple, and blue arrows. (C) Dot plots for the relative abundance of identified viral peptides in MCV+ (red, n = 12) versus negative (blue, n = 11) MCC samples. Peptides and their rankings (Table 1) are shown in green (ID#14), orange (ID#4), purple (ID#15), and blue (ID#1). Data are shown as mean ± SD. P values were based on 2-sided equal variance Student’s t test.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts