Evidence map›Paper›PMID 25631074›Full record

ArticleJournal of virology2015

Analysis of HIV-1 Gag protein interactions via biotin ligase tagging.

Christopher Ritchie, Isabel Cylinder, Emily J Platt, Eric Barklis

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. HIV Genome-Wide Protein Associations: a Review of 30 Years of Research.Microbiology and molecular biology reviews : MMBR · 2016
    Pooled it
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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

4 authors at 1 institution in 1 country.

Christopher RitchieDepartment of Molecular Microbiology and Immunology, Oregon Health Science University, Portland, Oregon, USA.
Isabel CylinderDepartment of Molecular Microbiology and Immunology, Oregon Health Science University, Portland, Oregon, USA.
Emily J PlattDepartment of Molecular Microbiology and Immunology, Oregon Health Science University, Portland, Oregon, USA.
Eric BarklisDepartment of Molecular Microbiology and Immunology, Oregon Health Science University, Portland, Oregon, USA barklis@ohsu.edu.
Oregon Health & Science University · US

Funding

In Vitro Analysis of HIV Gag Protein InteractionsR01GM060170 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARKLIS, ERIC W · 1999 to 2019
$5.9M
HIV-1 Gag Precursor Protein InteractionsR01AI152579 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARKLIS, ERIC W · 2020 to 2024
$2.5M
Analysis of HIV-1 core assembly and inhibitionR01GM101983 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARKLIS, ERIC W · 2012 to 2015
$1.2M
NIAID NIH HHS R01 AI152579NIGMS NIH HHS R01 GM060170NIGMS NIH HHS R01 GM101983
6 · The paper itself

Abstract

unlabelledWe have examined the interactions of wild-type (WT) and matrix protein-deleted (ΔMA) HIV-1 precursor Gag (PrGag) proteins in virus-producing cells using a biotin ligase-tagging approach. To do so, WT and ΔMA PrGag proteins were tagged with the Escherichia coli promiscuous biotin ligase (BirA*), expressed in cells, and examined. Localization patterns of PrGag proteins and biotinylated proteins overlapped, consistent with observations that BirA*-tagged proteins biotinylate neighbor proteins that are in close proximity. Results indicate that BirA*-tagged PrGag proteins biotinylated themselves as well as WT PrGag proteins in trans. Previous data have shown that the HIV-1 Envelope (Env) protein requires an interaction with MA for assembly into virions. Unexpectedly, ΔMA proteins biotinylated Env, whereas WT BirA*-tagged proteins did not, suggesting that the presence of MA made Env inaccessible to biotinylation. We also identified over 50 cellular proteins that were biotinylated by BirA*-tagged PrGag proteins. These included membrane proteins, cytoskeleton-associated proteins, nuclear transport factors, lipid metabolism regulators, translation factors, and RNA-processing proteins. The identification of these biotinylated proteins offers new insights into HIV-1 Gag protein trafficking and activities and provides new potential targets for antiviral interference. IMPORTANCE: We have employed a novel strategy to analyze the interactions of the HIV-1 structural Gag proteins, which involved tagging wild-type and mutant Gag proteins with a biotin ligase. Expression of the tagged proteins in cells allowed us to analyze proteins that came in close proximity to the Gag proteins as they were synthesized, transported, assembled, and released from cells. The tagged proteins biotinylated proteins encoded by the HIV-1 pol gene and neighbor Gag proteins, but, surprisingly, only the mutant Gag protein biotinylated the HIV-1 Envelope protein. We also identified over 50 cellular proteins that were biotinylated, including membrane and cytoskeletal proteins and proteins involved in lipid metabolism, nuclear import, translation, and RNA processing. Our results offer new insights into HIV-1 Gag protein trafficking and activities and provide new potential targets for antiviral interference.

Indexed as

Host-Pathogen InteractionsProtein Interaction MappingBiotinCarbon-Nitrogen LigasesEscherichia coli Proteinsgag Gene Products, Human Immunodeficiency VirusGenes, ReporterHIV-1Repressor ProteinsStaining and LabelingBiotinbirA protein, E coliCarbon-Nitrogen LigasesEscherichia coli Proteinsgag Gene Products, Human Immunodeficiency VirusRepressor Proteins

Identifiers

PMID25631074
PMCPMC4403423
OpenAlexW2165331180

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.