Evidence map›Paper›PMID 23933395›Full record

ArticleJournal of virological methods2013

Factors affecting relative fitness measurements in pairwise competition assays of human immunodeficiency viruses.

Erinn C Lanxon-Cookson, J Victor Swain, Siriphan Manocheewa, Robert A Smith, Brandon Maust, Moon Kim, Dylan Westfall, Morgane Rolland, James I Mullins

Abstract read
In one paragraph

Article in Journal of virological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Erinn C Lanxon-CooksonDepartment of Microbiology, University of Washington School of Medicine, Seattle, WA 98105-8070, United States.
J Victor Swain
Siriphan Manocheewa
Robert A Smith
Brandon Maust
Moon Kim
Dylan Westfall
Morgane Rolland
James I Mullins

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
Viral Determinants of HIV-1 Transmission in African HeterosexualsP01AI057005 · NIAID · UNIVERSITY OF WASHINGTON · PI COREY, LAWRENCE · 2003 to 2014
$20.5M
Occurrence and Outcome of Dual HIV-1 InfectionR37AI047734 · NIAID · UNIVERSITY OF WASHINGTON · PI MULLINS, JAMES IVAN · 2005 to 2014
$5.9M
NIAID NIH HHS P01 AI057005NIAID NIH HHS P01AI057005NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI27757NIAID NIH HHS P30AI27757NIAID NIH HHS R37AI04773NIAID NIH HHS R37 AI047734
6 · The paper itself

Abstract

Cell culture growth competition assays of human immunodeficiency virus type 1 (HIV-1) are used to estimate viral fitness and quantify the impact of mutations conferring drug resistance and immunological escape. A comprehensive study of growth competition assays was conducted and identified experimental parameters that can impact measurements of relative fitness including multiplicity of infection, viral input ratio, number, timing and interval of time points used to evaluate selective outgrowth, and the algorithm for calculating fitness values. An optimized protocol is developed here that is a multi-point growth competition assay that resolves reproducibly small differences in viral fitness. The optimized protocol uses an MOI of 0.005, a consistent ratio of mutant: parental viruses (70:30), and a multipoint [1+s 4,7] algorithm that uses data points within the logarithmic phase of viral growth for assessing fitness differences.

Indexed as

MutationVirus ReplicationCells, CulturedDrug Resistance, ViralHIV-1HumansLeukocytes, MononuclearVirus CultivationGrowth competitionHIV-1Replication capacityViral fitness

Identifiers

PMID23933395
PMCPMC3825816

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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.