Evidence map›Paper›PMID 28499422›Full record

ArticleHuman genomics2017

Identification of novel genes associated with HIV-1 latency by analysis of histone modifications.

Kyung-Chang Kim, Sunyoung Lee, Junseock Son, Younghyun Shin, Cheol-Hee Yoon, Chun Kang, Byeong-Sun Choi

Open access · goldAbstract readLetter
In one paragraph

Article in Human genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Review
  7. Barriers for HIV Cure: The Latent Reservoir.AIDS research and human retroviruses · 2018
    Review
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

7 authors at 1 institution in 1 country.

Kyung-Chang KimDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea. joytodeath@korea.kr.
Sunyoung LeeDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea.
Junseock SonDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea.
Younghyun ShinDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea.
Cheol-Hee YoonDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea.
Chun KangDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea.
Byeong-Sun ChoiDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Chung-buk, 28160, Republic of Korea. byeongsun@korea.kr.
Korea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA reservoir of HIV-1 is a major obstacle in eliminating HIV-1 in patients because it can reactivate in stopping antiretroviral therapy (ART). Histone modifications, such as acetylation and methylation, play a critical role in the organization of chromatin domains and the up- or downregulation of gene expression. Although many studies have reported that an epigenetic mechanism is strongly involved in the maintenance of HIV-1 transcriptional latency, neither the epigenetic control of viral replication nor how HIV-1 latency is maintained is not fully understood.

resultsWe re-analyzed a high throughput parallel DNA sequencing (ChIP-seq) data from previous work to investigate the effect of histone modifications, H3K4me3 and H3K9ac, on HIV-1 latency in terms of chromosome distribution. The outputs of ChIP-seq from uninfected CD4+ T cell lines and HIV-1 latently infected cells were aligned to hg18 using bowtie and then analyzed using various software packages. Certain chromosomes (16, 17, 19, and 22) were significantly enriched for histone modifications in both decreased and increased islands. In the same chromosomes in HIV-1 latently infected cells, 38 decreased and 41 increased islands from common islands of H3K4me3 and H3K9ac were selected for functional annotation. In Gene Ontology analysis, the 38 genes associated with decreased islands were involved in the regulation of biological process, regulation of cellular process, biological regulation, and purinergic receptor signaling pathway, while the 41 genes associated with increased islands were involved in nucleic acid binding, calcium-activated cation channel activity, DNA binding, and zinc ion binding. In Pathway Commons analysis, the 38 genes were strongly involved in the p63 transcription factor network, while the 41 genes were involved in the RNA polymerase III transcription termination pathway. Several genes such as Nuclear factor I X (NFIX) and TNF receptor association factor 4 (TRAF4) were selected as candidate genes for HIV latency. Especially, NFIX was highly expressed in HIV-1 latently infected cell lines and showed a dramatic reduction in expression after phorbol-13-myristate-12-acetate (PMA) treatment.

conclusionsThese results show that the unique enrichment of histone modifications and its linked genes in specific chromosomes might play a critical role in the establishment and maintenance of HIV-1 latency.

Indexed as

Histone CodeVirus LatencyCell LineHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsNFI Transcription FactorsSequence Analysis, DNATNF Receptor-Associated Factor 4NFI Transcription FactorsNFIX protein, humanTNF Receptor-Associated Factor 4TRAF4 protein, humanChromosomeH3K4me3H3K9acHistone modificationHIV latency

Identifiers

PMID28499422
PMCPMC5429561
OpenAlexW2612989990

What OpenQuestion holds

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Registered trials

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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.