Evidence map›Paper›PMID 23035216›Full record

ArticleJournal of virology2012

HIV-1 antisense transcription is preferentially activated in primary monocyte-derived cells.

Sylvain Laverdure, Antoine Gross, Charlotte Arpin-André, Isabelle Clerc, Bruno Beaumelle, Benoit Barbeau, Jean-Michel Mesnard

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05243381 (Inflammation, NK Cells, Antisense Protein and Exosomes, and Correlation With Immune Response During HIV Infection), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.0field-weighted citation impact, top 25% 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.

NCT05243381 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Inflammation, NK Cells, Antisense Protein and Exosomes, and Correlation With Immune Response During HIV Infection

TypeinterventionalSponsorUniversity Hospital, MontpellierRan2022 to 2024Enrolled60ConditionsHIV InfectionsArms20 ml blood test
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 35 citations in OpenAlex.

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  18. Concomitant emergence of the antisense protein gene of HIV-1 and of the pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2016
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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 at 4 institutions in 2 countries.

Sylvain LaverdureUniversité Montpellier 1, Centre d'études d'agents Pathogènes et Biotechnologies pour la Santé (CPBS), Montpellier, France.
Antoine Gross
Charlotte Arpin-André
Isabelle Clerc
Bruno Beaumelle
Benoit Barbeau
Jean-Michel Mesnard
Université de Montpellier · FRCentre d’études d’agents Pathogènes et Biotechnologies Pour la Santé · FRInstitut de Génétique Moléculaire de Montpellier · FRUniversité du Québec à Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, an antisense luciferase-expressing human immunodeficiency virus type 1 (HIV-1) molecular clone was used to infect primary cells. We found that antisense transcription activity from the 3' long terminal repeat (LTR) was significantly more abundant in monocyte-derived cells than in activated T lymphocytes. Moreover, by analyzing antisense transcription in infected monocyte-derived dendritic cells (MDDCs), we observed that the majority of HIV-1-infected MDDCs with significant antisense transcription activity did not produce Gag. We also confirmed that the negative-strand-encoded antisense protein (ASP) was expressed in monocyte-derived cells.

Indexed as

Transcription, GeneticCells, CulturedGenes, ViralHIV-1HIV Long Terminal RepeatHumansMonocytesRNA, AntisenseRNA, Antisense

Identifiers

PMID23035216
PMCPMC3503093
OpenAlexW2148184775

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.