Evidence map›Paper›PMID 32241262›Full record

ArticleBMC medical genomics2020

The landscape of alternative splicing in HIV-1 infected CD4 T-cells.

Seyoun Byun, Seonggyun Han, Yue Zheng, Vicente Planelles, Younghee Lee

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Viral Modulation of Host Splicing.Annual review of virology · 2025
    Review
  4. Get Spliced: Uniting Alternative Splicing and Arthritis.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Review
  7. Cells · 2021
    Article
  8. Review
  9. Review
  10. 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 2 institutions in 1 country.

Seyoun ByunDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Seonggyun HanDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Yue ZhengDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Vicente PlanellesDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Younghee LeeDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA. younghee.lee@utah.edu.
University of Utah · USHuntsman Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElucidating molecular mechanisms that are altered during HIV-1 infection may provide a better understanding of the HIV-1 life cycle and how it interacts with infected T-cells. One such mechanism is alternative splicing (AS), which has been studied for HIV-1 itself, but no systematic analysis has yet been performed on infected T-cells. We hypothesized that AS patterns in infected T-cells may illuminate the molecular mechanisms underlying HIV-1 infection and identify candidate molecular markers for specifically targeting infected T-cells.

methodsWe downloaded previously published raw RNA-seq data obtained from HIV-1 infected and non-infected T-cells. We estimated percent spliced in (PSI) levels for each AS exon, then identified differential AS events in the infected cells (FDR < 0.05, PSI difference > 0.1). We performed functional gene set enrichment analysis on the genes with differentially expressed AS exons to identify their functional roles. In addition, we used RT-PCR to validate differential alternative splicing events in cyclin T1 (CCNT1) as a case study.

resultsWe identified 427 candidate genes with differentially expressed AS exons in infected T-cells, including 20 genes related to cell surface, 35 to kinases, and 121 to immune-related genes. In addition, protein-protein interaction analysis identified six essential subnetworks related to the viral life cycle, including Transcriptional regulation by TP53, Class I MHC mediated antigen, G2/M transition, and late phase of HIV life cycle. CCNT1 exon 7 was more frequently skipped in infected T-cells, leading to loss of the key Cyclin_N motif and affecting HIV-1 transcriptional elongation.

conclusionsOur findings may provide new insight into systemic host AS regulation under HIV-1 infection and may provide useful initial candidates for the discovery of new markers for specifically targeting infected T-cells.

Indexed as

Alternative SplicingGene Regulatory NetworksCD4-Positive T-LymphocytesComputational BiologyExonsGenetic MarkersHIV-1HIV InfectionsHumansSequence Analysis, RNAVirus ReplicationGenetic MarkersAlternative splicingCCNT1CD46CD4 T-cellHIV-1

Identifiers

PMID32241262
PMCPMC7118826
OpenAlexW3015043663

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.