Evidence map›Paper›PMID 21933919›Full record

ArticlemBio2011

Next-generation sequencing reveals HIV-1-mediated suppression of T cell activation and RNA processing and regulation of noncoding RNA expression in a CD4+ T cell line.

Stewart T Chang, Pavel Sova, Xinxia Peng, Jeffrey Weiss, G Lynn Law, Robert E Palermo, Michael G Katze

Abstract read
In one paragraph

Article in mBio, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ebola virus exploits host lncRNAbioRxiv : the preprint server for biology · 2026
    Article
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  4. Article
  5. Article
  6. Article
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  9. Review
  10. Article
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  12. A functional screen identifies transcriptional networks that regulate HIV-1 and HIV-2.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
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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

7 authors.

Stewart T ChangDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Pavel Sova
Xinxia Peng
Jeffrey Weiss
G Lynn Law
Robert E Palermo
Michael G Katze

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
YILMA SIV VACCINIA VACCINE TRIALP51RR000166 · NCRR · UNIVERSITY OF WASHINGTON · PI HU, SHIU-LOK · 1985 to 2011
$161.1M
PROTEOMICS COREP30DA015625 · NIDA · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2002 to 2012
$18.9M
NCRR NIH HHS P51 RR000166NCRR NIH HHS P51RR000166NIDA NIH HHS P30 DA015625NIDA NIH HHS P30DA015625NIH HHS P51 OD010425
6 · The paper itself

Abstract

unlabelledNext-generation sequencing (NGS) enables the highly sensitive measurement of whole transcriptomes. We report the first application to our knowledge of this technology to the analysis of RNA from a CD4+ T cell line infected with intact HIV. We sequenced the total mRNA from infected cells and detected differences in the expression of both host and viral mRNA. Viral reads represented a large portion of the total mapped sequencing reads: approximately 20% at 12 h postinfection (hpi) and 40% at 24 hpi. We also detected a small but significant suppression of T cell activation-related genes at 12 hpi. This suppression persisted and expanded by 24 hpi, providing new possible markers of virus-induced T cell cytopathology. By 24 hpi, the expression of over 50% of detectable host loci was also altered, indicating widespread alteration of host processes, including RNA processing, splicing, and transport to an extent not previously reported. In addition, next-generation sequencing provided insights into alternative viral RNA splice events and the expression of noncoding RNAs, including microRNA host genes. IMPORTANCE: Recent advances in sequencing technology now allow the measurement of effectively all the RNA in a cell. This approach is especially useful for studying models of virus infection, as it allows the simultaneous measurement of both host and viral RNA. Using next-generation sequencing (NGS), we measured changes in total mRNA from a HIV-infected T cell line. To our knowledge, this is the first application of this technology to the investigation of HIV-host interactions involving intact HIV. We directly measured the amount of viral mRNA in infected cells and detected novel viral RNA splice variants and changes in the host expression of noncoding RNA species. We also detected small changes in T cell activation and other host processes during the early stages of viral replication that increased near the peak of viral replication, providing new candidate biomarkers of T cell death.

Indexed as

Down-RegulationRNA Processing, Post-TranscriptionalCD4-Positive T-LymphocytesCell LineHIV-1HIV InfectionsHumansLymphocyte ActivationRNA TransportRNA, UntranslatedRNA, ViralSequence Analysis, DNAVirus ReplicationRNA, UntranslatedRNA, Viral

Identifiers

PMID21933919
PMCPMC3175625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.