Evidence map›Paper›PMID 29158406›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Transcriptome-wide characterization of human cytomegalovirus in natural infection and experimental latency.

Shu Cheng, Katie Caviness, Jason Buehler, Megan Smithey, Janko Nikolich-Žugich, Felicia Goodrum

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

111 citing papers in PubMed, 149 citations in OpenAlex.

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  13. Viral and host network analysis of the human cytomegalovirus transcriptome in latency.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Human cytomegalovirus and neonatal infection.Current research in microbial sciences · 2024
    Review
  19. Article
  20. Review

51 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Shu ChengBIO5 Institute, University of Arizona, Tucson, AZ 85721; fgoodrum@email.arizona.edu shucheng@email.arizona.edu.
Katie CavinessBIO5 Institute, University of Arizona, Tucson, AZ 85721.
Jason BuehlerBIO5 Institute, University of Arizona, Tucson, AZ 85721.
Megan SmitheyDepartment of Immunobiology, University of Arizona, Tucson, AZ 85721.
Janko Nikolich-ŽugichBIO5 Institute, University of Arizona, Tucson, AZ 85721.
Felicia GoodrumBIO5 Institute, University of Arizona, Tucson, AZ 85721; fgoodrum@email.arizona.edu shucheng@email.arizona.edu.
University of Arizona · US

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Integrative Cancer Scholars Training GrantT32CA009213 · NCI · UNIVERSITY OF ARIZONA · PI CAREW, JENNIFER S, CURIEL-LEWANDROWSKI, CLARA · 1985 to 2024
$8.6M
Mechanisms of Human Cytomegalovirus Latency in Primary Human Hematopoietic CellsR01AI079059 · NIAID · UNIVERSITY OF ARIZONA · PI GOODRUM, FELICIA D · 2008 to 2018
$4.4M
Mechanisms of Human Cytomegalovirus Latency in Primary Human Hematopoietic CellsR37AI079059 · NIAID · UNIVERSITY OF ARIZONA · PI Felicia D Goodrum · 2019 to 2026
$3.3M
Research Supplement to Impact on CMV Upon T-Cell Aging and Immune DefenseR01AG048021 · NIA · UNIVERSITY OF ARIZONA · PI NIKOLICH, JANKO Z. · 2014 to 2018
$2.6M
Antagonistic Viral Determinants Regulating the Outcome of InfectionR56AI105062 · NIAID · UNIVERSITY OF ARIZONA · PI GOODRUM, FELICIA D · 2013 to 2013
$380k
NCI NIH HHS P30 CA023074NCI NIH HHS T32 CA009213NIAID NIH HHS R01 AI079059NIAID NIH HHS R37 AI079059NIAID NIH HHS R56 AI105062NIA NIH HHS R01 AG048021
6 · The paper itself

Abstract

The transcriptional program associated with herpesvirus latency and the viral genes regulating entry into and exit from latency are poorly understood and controversial. Here, we developed and validated a targeted enrichment platform and conducted large-scale transcriptome analyses of human cytomegalovirus (HCMV) infection. We used both an experimental hematopoietic cell model of latency and cells from naturally infected, healthy human subjects (clinical) to define the breadth of viral genes expressed. The viral transcriptome derived from experimental infection was highly correlated with that from clinical infection, validating our experimental latency model. These transcriptomes revealed a broader profile of gene expression during infection in hematopoietic cells than previously appreciated. Further, using recombinant viruses that establish a nonreactivating, latent-like or a replicative infection in CD34

Indexed as

Gene Expression Regulation, ViralGenome, ViralHost-Pathogen InteractionsTranscriptomeVirus LatencyCell LineCytomegalovirusFibroblastsGene Expression ProfilingHematopoietic Stem CellsHumansPrimary Cell CultureSignal TransductionViral ProteinsVirus ReplicationViral Proteinscytomegalovirusherpesviruskernel density estimationlatencytranscriptome

Identifiers

PMID29158406
PMCPMC5724264
OpenAlexW2768853365

What OpenQuestion holds

Textmetadata
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.