Journal of NeuroVirology

, Volume 23, Issue 5, pp 671–678 | Cite as

Lack of human cytomegalovirus expression in single cells from glioblastoma tumors and cell lines

  • Travis S. JohnsonEmail author
  • Zachary B. Abrams
  • Xiaokui Mo
  • Yan Zhang
  • Kun Huang


The relationship between human cytomegalovirus (HCMV) and glioblastoma (GBM) is an ongoing debate with extensive evidence supporting or refuting its existence through molecular assays, pre-clinical studies, and clinical trials. We focus primarily on the crux of the debate, detection of HCMV in GBM samples using molecular assays. We propose that these differences in detection could be affected by cellular heterogeneity. To take this into account, we align the single-cell RNA sequencing (scRNA-seq) reads from five GBM tumors and two cell lines to HCMV and analyze the alignments for evidence of (i) complete viral transcripts and (ii) low-abundance viral reads. We found that neither tumor nor cell line samples showed conclusive evidence of full HCMV viral transcripts. We also identified low-abundance reads aligned across all tumors, with two tumors having higher alignment rates than the rest of the tumor samples. This work is meant to rigorously test for HCMV RNA expression at a single cell level in GBM samples and examine the possible utility of single cell data in tumor virology.


Glioblastoma Cytomegalovirus scRNA-Seq Transcriptomics Sequence analysis 



The authors acknowledge RGP0053 of the Human Frontier Science Program, National Library of Medicine Multi-Modeling and Integrative Data Analytics Training Program (T15LM011270-05), the Ohio Super Computer for computation resources and Yan Zhang acknowledges support from the Department of Biomedical Informatics at The Ohio State University.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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ESM 1 (DOCX 2667 kb)


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Copyright information

© Journal of NeuroVirology, Inc. 2017

Authors and Affiliations

  • Travis S. Johnson
    • 1
    Email author
  • Zachary B. Abrams
    • 1
  • Xiaokui Mo
    • 1
  • Yan Zhang
    • 1
  • Kun Huang
    • 1
  1. 1.Department of Biomedical InformaticsOhio State UniversityColumbusUSA

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