Evidence map›Paper›PMID 25163480›Full record

ArticleVirology journal2014

Identification of molecular sub-networks associated with cell survival in a chronically SIVmac-infected human CD4+ T cell line.

Feng Q He, Ulrike Sauermann, Christiane Beer, Silke Winkelmann, Zheng Yu, Sieghart Sopper, An-Ping Zeng, Manfred Wirth

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evaluation of Reinfection in COVID-19 Patients in the World: A Narrative Review.Medical journal of the Islamic Republic of Iran · 2021
    Review
  6. A roadmap towards personalized immunology.NPJ systems biology and applications · 2018
    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

8 authors at 4 institutions in 3 countries.

Feng Q He
Ulrike Sauermann
Christiane Beer
Silke Winkelmann
Zheng Yu
Sieghart Sopper
An-Ping Zeng
Manfred WirthEpigenetic Regulation Mechanisms, Helmholtz Centre for Infection Research (HZI), Inhoffenstr, 7, 38124 Braunschweig, Germany. mwi@helmholtz-hzi.de.
Helmholtz Centre for Infection Research · DEGerman Primate Center · DEInnsbruck Medical University · ATUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe deciphering of cellular networks to determine susceptibility to infection by HIV or the related simian immunodeficiency virus (SIV) is a major challenge in infection biology.

resultsHere, we have compared gene expression profiles of a human CD4+ T cell line at 24 h after infection with a cell line of the same origin permanently releasing SIVmac. A new knowledge-based-network approach (Inter-Chain-Finder, ICF) has been used to identify sub-networks associated with cell survival of a chronically SIV-infected T cell line. Notably, the method can identify not only differentially expressed key hub genes but also non-differentially expressed, critical, 'hidden' regulators. Six out of the 13 predicted major hidden key regulators were among the landscape of proteins known to interact with HIV. Several sub-networks were dysregulated upon chronic infection with SIV. Most prominently, factors reported to be engaged in early stages of acute viral infection were affected, e.g. entry, integration and provirus transcription and other cellular responses such as apoptosis and proliferation were modulated. For experimental validation of the gene expression analyses and computational predictions, individual pathways/sub-networks and significantly altered key regulators were investigated further. We showed that the expression of caveolin-1 (Cav-1), the top hub in the affected protein-protein interaction network, was significantly upregulated in chronically SIV-infected CD4+ T cells. Cav-1 is the main determinant of caveolae and a central component of several signal transduction pathways. Furthermore, CD4 downregulation and modulation of the expression of alternate and co-receptors as well as pathways associated with viral integration into the genome were also observed in these cells. Putatively, these modifications interfere with re-infection and the early replication cycle and inhibit cell death provoked by syncytia formation and bystander apoptosis.

conclusionsThus, by using the novel approach for network analysis, ICF, we predict that in the T cell line chronically infected with SIV, cellular processes that are known to be crucial for early phases of HIV/SIV replication are altered and cellular responses that result in cell death are modulated. These modifications presumably contribute to cell survival despite chronic infection.

Indexed as

ApoptosisCaveolin 1CD4 AntigensCD4-Positive T-LymphocytesCell CycleCell LineCell ProliferationCell SurvivalGene Expression RegulationHIV-1HumansReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionSimian Immunodeficiency VirusVirus AttachmentVirus InternalizationCaveolin 1CD4 Antigens

Identifiers

PMID25163480
PMCPMC4163169
OpenAlexW2138288649

What OpenQuestion holds

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LicenceCC BY
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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.