Evidence map›Paper›PMID 23282062›Full record

ArticleJournal of proteome research2013

Proteomic analysis of early HIV-1 nucleoprotein complexes.

Cameron J Schweitzer, Teena Jagadish, Nicole Haverland, Pawel Ciborowski, Michael Belshan

Abstract read
In one paragraph

Article in Journal of proteome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. The Integrase: An Overview of a Key Player Enzyme in the Antiviral Scenario.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. The Role of Ku70 as a Cytosolic DNA Sensor in Innate Immunity and Beyond.Frontiers in cellular and infection microbiology · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Retroviral DNA Integration.Chemical reviews · 2016
    Review
  12. Article
  13. Proteomics, biomarkers, and HIV-1: A current perspective.Proteomics. Clinical applications · 2016
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 1 country.

Cameron J SchweitzerDepartment of Medical Microbiology and Immunology, Creighton University, Omaha, Nebraska 68178, USA.
Teena Jagadish
Nicole Haverland
Pawel Ciborowski
Michael Belshan
University of Nebraska Medical Center · USCHI Health Creighton University Medical Center - Bergan Mercy · USUniversity of Nebraska–Lincoln · US

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
Transcriptional Regulation, the Nuclear Proteome, and HIV/Meth/cART: From ProfiliR01DA030962 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CIBOROWSKI, PAWEL S, FOX, HOWARD S · 2010 to 2014
$3.1M
A Proteomic and Biochemical Study of HIV-1 Nucleoprotein ComplexesR01AI080348 · NIAID · CREIGHTON UNIVERSITY · PI BELSHAN, MICHAEL A · 2010 to 2014
$1.8M
NIAID NIH HHS R01 AI080348NIDA NIH HHS R01 DA030962NIDA NIH HHS R01DA030962NIMH NIH HHS P30 MH062261PHS HHS R01A1080348
6 · The paper itself

Abstract

After entry into the cell, the early steps of the human immunodeficiency virus type 1 (HIV-1) replication cycle are mediated by two functionally distinct nucleoprotein complexes, the reverse transcription complex (RTC) and preintegration complex (PIC). These two unique viral complexes are responsible for the conversion of the single-stranded RNA genome into double-stranded DNA, transport of the DNA into the nucleus, and integration of the viral DNA into the host cell chromosome. Prior biochemical analyses suggest that these complexes are large and contain multiple undiscovered host cell factors. In this study, functional HIV-1 RTCs and PICs were partially purified by velocity gradient centrifugation and fractionation, concentrated, trypsin digested, and analyzed by LC-MS/MS. A total of seven parallel infected and control biological replicates were completed. Database searches were performed with Proteome Discoverer and a comparison of the HIV-1 samples to parallel uninfected control samples was used to identify unique cellular factors. The analysis produced a total data set of 11055 proteins. Several previously characterized HIV-1 factors were identified, including XRCC6, TFRC, and HSP70. The presence of XRCC6 was confirmed in infected fractions and shown to be associated with HIV-1 DNA by immunoprecipitation-PCR experiments. Overall, the analysis identified 94 proteins unique in the infected fractions and 121 proteins unique to the control fractions with ≥ 2 protein assignments. An additional 54 and 52 were classified as enriched in the infected and control samples, respectively, based on a 3-fold difference in total Proteome Discoverer probability score. The differential expression of several candidate proteins was validated by Western blot analysis. This study contributes additional novel candidate proteins to the growing published bioinformatic data sets of proteins that contribute to HIV-1 replication.

Indexed as

Antigens, CDAntigens, NuclearCell LineCell NucleusCentrifugation, Density GradientChromatography, LiquidDNA-Binding ProteinsDNA, ViralGene Expression ProfilingHIV-1Host-Pathogen InteractionsHSP70 Heat-Shock ProteinsHumansKu AutoantigenLymphocytesNucleoproteinsAntigens, CDAntigens, NuclearCD71 antigenDNA-Binding ProteinsDNA, ViralHSP70 Heat-Shock ProteinsKu AutoantigenNucleoproteinsProteomeReceptors, TransferrinViral ProteinsXrcc6 protein, human

Identifiers

PMID23282062
PMCPMC3564510
OpenAlexW2333184854

What OpenQuestion holds

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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.