Evidence map›Paper›PMID 21507965›Full record

ArticleJournal of virology2011

Analysis of HIV-1 expression level and sense of transcription by high-throughput sequencing of the infected cell.

Gregory Lefebvre, Sébastien Desfarges, Frédéric Uyttebroeck, Miguel Muñoz, Niko Beerenwinkel, Jacques Rougemont, Amalio Telenti, Angela Ciuffi

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.5field-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

46 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Rapid Lentiviral Vector Producer Cell Line Generation Using a Single DNA Construct.Molecular therapy. Methods & clinical development · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  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

8 authors at 4 institutions in 1 country.

Gregory LefebvreInstitute of Microbiology, University Hospital Center and University of Lausanne, Bugnon 48, CH-1011 Lausanne, Switzerland.
Sébastien Desfarges
Frédéric Uyttebroeck
Miguel Muñoz
Niko Beerenwinkel
Jacques Rougemont
Amalio Telenti
Angela Ciuffi
University of Lausanne · CHÉcole Polytechnique Fédérale de Lausanne · CHETH Zurich · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing offers an unprecedented opportunity to jointly analyze cellular and viral transcriptional activity without prerequisite knowledge of the nature of the transcripts. SupT1 cells were infected with a vesicular stomatitis virus G envelope protein (VSV-G)-pseudotyped HIV vector. At 24 h postinfection, both cellular and viral transcriptomes were analyzed by serial analysis of gene expression followed by high-throughput sequencing (SAGE-Seq). Read mapping resulted in 33 to 44 million tags aligning with the human transcriptome and 0.23 to 0.25 million tags aligning with the genome of the HIV-1 vector. Thus, at peak infection, 1 transcript in 143 is of viral origin (0.7%), including a small component of antisense viral transcription. Of the detected cellular transcripts, 826 (2.3%) were differentially expressed between mock- and HIV-infected samples. The approach also assessed whether HIV-1 infection modulates the expression of repetitive elements or endogenous retroviruses. We observed very active transcription of these elements, with 1 transcript in 237 being of such origin, corresponding on average to 123,123 reads in mock-infected samples (0.40%) and 129,149 reads in HIV-1-infected samples (0.45%) mapping to the genomic Repbase repository. This analysis highlights key details in the generation and interpretation of high-throughput data in the setting of HIV-1 cellular infection.

Indexed as

Gene Expression ProfilingCell LineGenetic VectorsHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansMembrane GlycoproteinsRNA, MessengerRNA, ViralSequence Tagged SitesT-LymphocytesTranscription, GeneticViral Envelope ProteinsVirus ReplicationG protein, vesicular stomatitis virusMembrane GlycoproteinsRNA, MessengerRNA, ViralViral Envelope Proteins

Identifiers

PMID21507965
PMCPMC3126515
OpenAlexW2169492747

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.