Evidence map›Paper›PMID 26714712›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2016

Methods to Study Determinants for Membrane Targeting of HIV-1 Gag In Vitro.

Gabrielle C Todd, Akira Ono

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2016. 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
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Gabrielle C ToddDepartment of Microbiology and Immunology, University of Michigan Medical School, 5736 Medical Science Building II, 1150 W. Medical Center Drive, Ann Arbor, MI, 48109, USA.
Akira OnoDepartment of Microbiology and Immunology, University of Michigan Medical School, 5736 Medical Science Building II, 1150 W. Medical Center Drive, Ann Arbor, MI, 48109, USA. akiraono@umich.edu.
University of Michigan–Ann Arbor · US

Funding

Molecular Mechanisms of Microbial Pathogenesis Training ProgramT32AI007528 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARRUTHERS, VERNON BRUCE · 1998 to 2024
$6.8M
Mechanisms that determine subcellular sites of HIV-1 assemblyR01AI071727 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ONO, AKIRA · 2007 to 2016
$3.6M
NIAID NIH HHS R01 AI07172NIAID NIH HHS R01 AI071727NIAID NIH HHS T32 AI007528
6 · The paper itself

Abstract

Assembly of HIV-1 viral particles is a critical step of the HIV-1 life cycle; yet many details of this complex process are unknown. The Gag polyprotein drives viral particle assembly at the plasma membrane via three different types of interactions: protein-protein, protein-RNA, and protein-membrane interactions. As an approach to tease apart the importance of these interactions during viral particle assembly, in particular at the step of Gag membrane binding, we have developed an in vitro liposome-binding assay. Below we describe how to prepare liposomes, which serve as model membranes, and how to assess their interaction with Gag by liposome flotation centrifugation. Additionally, we outline extensions of this basic assay that can be used to address the role of RNA in regulating Gag-membrane interactions.

Indexed as

AnimalsCell MembraneCentrifugationElectrophoresis, Polyacrylamide GelGene Products, gagHIV-1HIV InfectionsHumansLiposomesProtein BindingRabbitsRNAVirus AssemblyGene Products, gagLiposomesRNAGagHIV-1 assemblyLiposome flotation centrifugationMembrane bindingRNA

Identifiers

PMID26714712
PMCPMC5030775
OpenAlexW2201268198

What OpenQuestion holds

Textmetadata
LicenceTDM
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.