Evidence map›Paper›PMID 33501914›Full record

ArticleeLife2021

Single-cell RNA-seq reveals transcriptomic heterogeneity mediated by host-pathogen dynamics in lymphoblastoid cell lines.

Elliott D SoRelle, Joanne Dai, Emmanuela N Bonglack, Emma M Heckenberg, Jeffrey Y Zhou, Stephanie N Giamberardino, Jeffrey A Bailey, Simon G Gregory, Cliburn Chan, Micah A Luftig

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Reconstructing EBV reactivation and DNA damage response kinetics in morphologic pseudotime.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  5. Review
  6. EBV INFECTION OUTCOMES DETERMINED BY MONOCYTE AND TbioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  13. Article
  14. Review
  15. Multiple sclerosis and infection: history, EBV, and the search for mechanism.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Elliott D SoRelleDepartment of Molecular Genetics and Microbiology, Center for Virology, Duke University School of Medicine, Durham, United States.ORCID 0000-0002-3362-1028
Joanne DaiDepartment of Molecular Genetics and Microbiology, Center for Virology, Duke University School of Medicine, Durham, United States.ORCID 0000-0002-9879-4704
Emmanuela N BonglackDepartment of Molecular Genetics and Microbiology, Center for Virology, Duke University School of Medicine, Durham, United States.
Emma M HeckenbergDepartment of Molecular Genetics and Microbiology, Center for Virology, Duke University School of Medicine, Durham, United States.
Jeffrey Y ZhouDepartment of Medicine, University of Massachusetts Medical School, Worcester, United States.
Stephanie N GiamberardinoDuke Molecular Physiology Institute and Department of Neurology, Duke University School of Medicine, Durham, United States.
Jeffrey A BaileyDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, United States.
Simon G GregoryDuke Molecular Physiology Institute and Department of Neurology, Duke University School of Medicine, Durham, United States.
Cliburn ChanDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, United States.
Micah A LuftigDepartment of Molecular Genetics and Microbiology, Center for Virology, Duke University School of Medicine, Durham, United States.ORCID 0000-0002-2964-1907
Duke University · USBrown University · USUniversity of Massachusetts Chan Medical School · US

Funding

Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
Targeting Apoptosis and Immune Control of Epstein-Barr Virus Infected Tonsillar B CellsR01DE025994 · NIDCR · DUKE UNIVERSITY · PI Micah Alan Luftig · 2016 to 2026
$5.0M
NCI NIH HHS T32 CA009111NIDCR NIH HHS R01 DE025994
6 · The paper itself

Abstract

Lymphoblastoid cell lines (LCLs) are generated by transforming primary B cells with Epstein-Barr virus (EBV) and are used extensively as model systems in viral oncology, immunology, and human genetics research. In this study, we characterized single-cell transcriptomic profiles of five LCLs and present a simple discrete-time simulation to explore the influence of stochasticity on LCL clonal evolution. Single-cell RNA sequencing (scRNA-seq) revealed substantial phenotypic heterogeneity within and across LCLs with respect to immunoglobulin isotype; virus-modulated host pathways involved in survival, activation, and differentiation; viral replication state; and oxidative stress. This heterogeneity is likely attributable to intrinsic variance in primary B cells and host-pathogen dynamics. Stochastic simulations demonstrate that initial primary cell heterogeneity, random sampling, time in culture, and even mild differences in phenotype-specific fitness can contribute substantially to dynamic diversity in populations of nominally clonal cells.

Indexed as

Host-Pathogen InteractionsTranscriptomeB-LymphocytesCell LineHerpesvirus 4, HumanHumansRNA-SeqSingle-Cell AnalysisB-cell differentiationEpstein-Barr virushumanimmunologyinfectious diseaseinflammationlymphoblastoid cell linesmicrobiologyNFkappaBsystems modelingvirusvirus infection

Identifiers

PMID33501914
PMCPMC7867410
OpenAlexW3122943587

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.