Evidence map›Paper›PMID 27531524›Full record

ArticleBMC genomics2016

Comprehensive profiling of functional Epstein-Barr virus miRNA expression in human cell lines.

Marjolein J G Hooykaas, Elisabeth Kruse, Emmanuel J H J Wiertz, Robert Jan Lebbink

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Diverse Expression Patterns of EBV Oncogenes (Archives of Razi Institute · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Marjolein J G HooykaasDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Elisabeth KruseDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Emmanuel J H J WiertzDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands. E.Wiertz@umcutrecht.nl.
Robert Jan LebbinkDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands. R.J.Lebbink-2@umcutrecht.nl.
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpstein-Barr virus (EBV) establishes lifelong infections in its human host. The virus is associated with a broad range of malignancies of lymphoid and epithelial origin, including Burkitt's lymphoma, post-transplant lymphoproliferative disease, nasopharyngeal carcinoma and gastric carcinoma. During the latent phase of its life cycle, EBV expresses more than 40 mature miRNAs that are highly abundant in tumor cells and may contribute to oncogenesis. Although multiple studies have assessed the relative expression profiles of EBV miRNAs in tumor cells, data linking these expression levels to functional target knockdown are mostly lacking. Therefore we set out to systematically assess the EBV miRNA expression levels in EBV(+) tumor cell lines, and correlate this to their functional silencing capacity in these cells.

resultsWe provide comprehensive EBV miRNA expression profiles of the EBV(+) cell lines C666-1 (nasopharyngeal carcinoma), SNU-719 (gastric carcinoma), Jijoye (Burkitt's lymphoma), and AKBM (Burkitt's lymphoma) and of EBV(-) cells ectopically expressing the BART miRNA cluster. By deep sequencing the small RNA population and conducting miRNA-reporter experiments to assay miRNA potency, we were able to compare the expression profiles of the EBV miRNAs with their functional silencing efficacy. We observe a strong correlation between miRNA expression levels and functional miRNA activity. There is large variation in expression levels between EBV miRNAs in a given cell line, whereas the relative expression profiles are well maintained between cell lines. Furthermore, we show that miRNA arm selection bias is less pronounced for gamma-herpesvirus miRNAs than for human miRNAs.

conclusionWe provide an in depth assessment of the expression levels and silencing activity of all EBV miRNAs in B- and epithelial cell lines of different latency stages. Our data show a good correlation between relative EBV miRNA expression levels and silencing capacity, and suggest preferential processing of particular EBV miRNAs irrespective of cell-type. In addition to encoding the largest number of precursor miRNAs of all human herpesviruses, EBV expresses many miRNAs precursors that yield two functional miRNA strands, rather than one guide strand and a non-functional passenger strand. This reduced strand bias may increase the size of the EBV miRNA targetome.

Indexed as

Gene Expression ProfilingGene Expression Regulation, ViralTranscriptomeCell Line, TumorGene ExpressionGenes, ReporterHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingHumansMicroRNAsRNA, ViralMicroRNAsRNA, ViralEpstein-Barr virus (EBV)HerpesvirusmicroRNAsmiRNA reportermiRNA sensorSmall RNA sequencing

Identifiers

PMID27531524
PMCPMC4987988
OpenAlexW2516495475

What OpenQuestion 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 OpenQuestion graph.