Evidence map›Paper›PMID 24914638›Full record

ArticleAIDS research and human retroviruses2014

Short communication: HIV-1 gag genetic variation in a single acutely infected participant defined by high-resolution deep sequencing.

Laith Q Al-Mawsawi, Nicholas C Wu, Justin De La Cruz, Vivian Cai Shi, Ting-Ting Wu, Eric S Daar, Martha J Lewis, Otto O Yang, Ren Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AIDS research and human retroviruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Laith Q Al-Mawsawi1 Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California , Los Angeles, Los Angeles, California.
Nicholas C Wu
Justin De La Cruz
Vivian Cai Shi
Ting-Ting Wu
Eric S Daar
Martha J Lewis
Otto O Yang
Ren Sun

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZACK, JEROME A. · 1991 to 2018
$39.9M
HIV-1 Excape from Inhibiton by Cytotoxic T LymphocytesR01AI043203 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, OTTO O · 1998 to 2012
$4.6M
A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
Fitness Profile of HIV-1 Genome with Host Cofactor Selection PressureR21AI110261 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUN, REN · 2014 to 2015
$424k
NCI NIH HHS P30 CA016042NIAID NIH HHS AI028697NIAID NIH HHS R01 AI043203NIAID NIH HHS R21 AI110261NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

Acute HIV-1 infection is characterized by the rapid generation of highly diverse genetic variants to adapt to the new host environment. Understanding the dynamics of viral genetic variation at this stage of infection is critical for vaccine design efforts and early drug treatment. Here, using a high-resolution deep sequencing approach targeting the HIV-1 gag region, we reveal very early immune pressure with dramatic subpopulation shifts in a single acutely infected participant providing further insight into the genetic dynamics of acute HIV-1 infection.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingAdaptation, Biologicalgag Gene Products, Human Immunodeficiency VirusHIV-1HIV InfectionsHumansMolecular Sequence Datagag Gene Products, Human Immunodeficiency Virus

Identifiers

PMID24914638
PMCPMC4118717

What OpenQuestion holds

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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.