Evidence map›Paper›PMID 28034670›Full record

ArticleJournal of virological methods2017

Assays for precise quantification of total (including short) and elongated HIV-1 transcripts.

Philipp Kaiser, Sunil K Joshi, Peggy Kim, Peilin Li, Hongbing Liu, Andrew P Rice, Joseph K Wong, Steven A Yukl

Abstract readValidation Study
In one paragraph

Article in Journal of virological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

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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

8 authors.

Philipp KaiserSan Francisco Veterans Affairs (VA) Medical Center and University of California, San Francisco (UCSF), 4150 Clement Street, 111W, San Francisco, CA, 94121, USA; Current address: Department of Infectious Diseases, Luzerner Kantonsspital, 6000 Lucerne 16, Switzerland.
Sunil K JoshiSan Francisco Veterans Affairs (VA) Medical Center and University of California, San Francisco (UCSF), 4150 Clement Street, 111W, San Francisco, CA, 94121, USA.
Peggy KimSan Francisco Veterans Affairs (VA) Medical Center and University of California, San Francisco (UCSF), 4150 Clement Street, 111W, San Francisco, CA, 94121, USA.
Peilin LiSan Francisco Veterans Affairs (VA) Medical Center and University of California, San Francisco (UCSF), 4150 Clement Street, 111W, San Francisco, CA, 94121, USA.
Hongbing LiuDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, One Baylor Plaza, MS BCM385, Houston, TX, 77030, USA.
Andrew P RiceDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, One Baylor Plaza, MS BCM385, Houston, TX, 77030, USA.
Joseph K WongSan Francisco Veterans Affairs (VA) Medical Center and University of California, San Francisco (UCSF), 4150 Clement Street, 111W, San Francisco, CA, 94121, USA.
Steven A YuklSan Francisco Veterans Affairs (VA) Medical Center and University of California, San Francisco (UCSF), 4150 Clement Street, 111W, San Francisco, CA, 94121, USA. Electronic address: Steven.yukl@ucsf.edu.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Viral reservoirs and sanctuaries in HAART - treated patients: role and mechanismsU19AI096109 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DEEKS, STEVEN GRANT, MCCUNE, JOSEPH M · 2011 to 2015
$29.5M
Virology CoreP30AI036211 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI BUTEL, JANET S · 1994 to 2015
$21.7M
Investigating Mechanisms of HIV Persistence in the GutR01DK108349 · NIDDK · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI YUKL, STEVEN A · 2015 to 2019
$2.2M
Understanding HIV latency reversal and clearance of infected cells in vivoR01AI132128 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K, YUKL, STEVEN A · 2017 to 2021
$1.9M
Evaluating HIV expression and latency in blood and tissues at the single cell levelR33AI116218 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K · 2016 to 2018
$1.4M
Medical Scientist Training Program of Oregon Health & Science UniversityT32GM109835 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI JACOBY, DAVID B · 2016 to 2020
$1.1M
Tissue Reservoirs of HIV in Victims of Sudden DeathR56AI116342 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K · 2015 to 2015
$545k
Role of P-TEFB in HIV latencyR21AI116173 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI RICE, ANDREW P · 2014 to 2015
$435k
Quantification of HIV Reservoirs in the Gut-Associated Lymphatic SystemIK2CX000520 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI YUKL, STEVEN A · 2011 to 2015
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CSRD VA IK2 CX000520NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI036211NIAID NIH HHS R01 AI132128NIAID NIH HHS R21 AI116173NIAID NIH HHS R33 AI116218NIAID NIH HHS R56 AI116342NIAID NIH HHS U19 AI096109NIDDK NIH HHS R01 DK108349NIGMS NIH HHS T32 GM109835
6 · The paper itself

Abstract

Despite intensive study, it is unclear which mechanisms are responsible for latent HIV infection in vivo. One potential mechanism is inhibition of HIV transcriptional elongation, which results in short abortive transcripts containing the trans-activation response (TAR) region. Because the relative levels of total (including short) and processive transcripts provide measures of HIV transcriptional initiation and elongation, there is a compelling need for techniques that accurately measure both. Nonetheless, prior assays for total transcripts have been semi-quantitative and have seen limited application to patient samples. This manuscript reports the validation of quantitative reverse transcription (RT) droplet digital PCR assays for measurement of total (TAR) and processive (R-U5/gag) HIV transcripts. Traditional RT priming strategies can efficiently detect the TAR region on long HIV transcripts but detect <4% of true short transcripts. The TAR assay presented here utilizes an initial polyadenylation step, which provides an accessible RT priming site and detects short and long transcripts with approximately equal efficiency (70%). By applying these assays to blood samples from 8 ART-treated HIV+ individuals, total HIV transcripts were detected at levels >10-fold higher than elongated transcripts, implying a substantial block to transcriptional elongation in vivo. This approach may be applied to other difficult-to-prime RNA targets.

Indexed as

HIV Long Terminal RepeatReverse Transcriptase Polymerase Chain ReactionGene Expression Regulation, ViralHIV-1HIV InfectionsHumansMalePolyadenylationReverse TranscriptionRNA, ViralTranscription, GeneticVirus LatencyRNA, ViralElongationHIV-1LatencyShort or abortive transcriptTARTranscription

Identifiers

PMID28034670
PMCPMC5560404

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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.