Evidence map›Paper›PMID 30200981›Full record

ArticleBMC medical genomics2018

Comprehensive off-target analysis of dCas9-SAM-mediated HIV reactivation via long noncoding RNA and mRNA profiling.

Yonggang Zhang, Gustavo Arango, Fang Li, Xiao Xiao, Raj Putatunda, Jun Yu, Xiao-Feng Yang, Hong Wang, Layne T Watson, Liqing Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  3. Harnessing CRISPR potential for intervertebral disc regeneration strategies.Frontiers in bioengineering and biotechnology · 2025
    Review
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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

11 authors at 3 institutions in 2 countries.

Yonggang ZhangCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Gustavo ArangoDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24060, USA.
Fang LiCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Xiao XiaoCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Raj PutatundaCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Jun YuCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Xiao-Feng YangCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Hong WangCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA.
Layne T WatsonDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24060, USA.
Liqing ZhangDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24060, USA. lqzhang@cs.vt.edu.
Wenhui HuCenter for Metabolic Disease Research, Temple University Lewis Katz School of Medicine, 3500 N Broad Street, Philadelphia, PA, 19140, USA. whu@temple.edu.ORCID 0000-0001-8152-6116
Temple University · USVirginia Tech · USChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CD40 monocyte in chronic kidney diseaseR01DK113775 · NIDDK · TEMPLE UNIV OF THE COMMONWEALTH · PI WANG, HONG · 2017 to 2021
$3.3M
Hyperhomocysteinemia and HDL MetabolismR01HL117654 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI WANG, HONG · 2013 to 2017
$3.0M
Regulation of gut smooth muscle contraction and relaxation by cytokinesR01DK075964 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI HU, WENHUI · 2007 to 2016
$2.9M
The roles of miR-155 in regulating atherosclerosis and metabolically healthy obesityR01HL138749 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI YANG, XIAOFENG · 2017 to 2020
$2.6M
IL-35 suppression of endothelial cell activation and atherosclerosisR01HL132399 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI YANG, XIAOFENG · 2017 to 2020
$2.3M
RNA-mediated excision of the HIV-1 genome from latently infected cells in CNSR01NS087971 · NINDS · TEMPLE UNIV OF THE COMMONWEALTH · PI HU, WENHUI, KHALILI, KAMEL · 2014 to 2016
$1.2M
NHLBI NIH HHS R01 HL117654NHLBI NIH HHS R01 HL132399NHLBI NIH HHS R01 HL138749NIDDK NIH HHS R01 DK075964NIDDK NIH HHS R01 DK113775NINDS NIH HHS R01 NS087971
6 · The paper itself

Abstract

backgroundCRISPR/CAS9 (epi)genome editing revolutionized the field of gene and cell therapy. Our previous study demonstrated that a rapid and robust reactivation of the HIV latent reservoir by a catalytically-deficient Cas9 (dCas9)-synergistic activation mediator (SAM) via HIV long terminal repeat (LTR)-specific MS2-mediated single guide RNAs (msgRNAs) directly induces cellular suicide without additional immunotherapy. However, potential off-target effect remains a concern for any clinical application of Cas9 genome editing and dCas9 epigenome editing. After dCas9 treatment, potential off-target responses have been analyzed through different strategies such as mRNA sequence analysis, and functional screening. In this study, a comprehensive analysis of the host transcriptome including mRNA, lncRNA, and alternative splicing was performed using human cell lines expressing dCas9-SAM and HIV-targeting msgRNAs.

resultsThe control scrambled msgRNA (LTR_Zero), and two LTR-specific msgRNAs (LTR_L and LTR_O) groups show very similar expression profiles of the whole transcriptome. Among 839 identified lncRNAs, none exhibited significantly different expression in LTR_L vs. LTR_Zero group. In LTR_O group, only TERC and scaRNA2 lncRNAs were significantly decreased. Among 142,791 mRNAs, four genes were differentially expressed in LTR_L vs. LTR_Zero group. There were 21 genes significantly downregulated in LTR_O vs. either LTR_Zero or LTR_L group and one third of them are histone related. The distributions of different types of alternative splicing were very similar either within or between groups. There were no apparent changes in all the lncRNA and mRNA transcripts between the LTR_L and LTR_Zero groups.

conclusionThis is an extremely comprehensive study demonstrating the rare off-target effects of the HIV-specific dCas9-SAM system in human cells. This finding is encouraging for the safe application of dCas9-SAM technology to induce target-specific reactivation of latent HIV for an effective "shock-and-kill" strategy.

Indexed as

High-Throughput Nucleotide SequencingAlternative SplicingCRISPR-Associated Protein 9Gene Expression ProfilingHeLa CellsHIV-1HIV Long Terminal RepeatHumansPolymorphism, Single NucleotideRNA, Long NoncodingRNA, MessengerSequence Analysis, RNAVirus ActivationCRISPR-Associated Protein 9RNA, Long NoncodingRNA, MessengerCRISPRGenome editingHIVLatencyOff-targetRNA sequencingShock and killTranscriptome

Identifiers

PMID30200981
PMCPMC6131778
OpenAlexW2890130360

What OpenQuestion holds

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LicenceCC BY
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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.