Evidence map›Paper›PMID 29098230›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2017

RNA-mediated TILDA for improved cell capacity and enhanced detection of multiply-spliced HIV RNA.

Hannah M Pezzi, Scott M Berry, David J Beebe, Rob Striker

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2017. 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
–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

6 citing papers in PubMed.

  1. Review
  2. HIV Reservoir: How to Measure It?Current HIV/AIDS reports · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Hannah M PezziDepartment of Biomedical Engineering, Wisconsin Institutes for Medical Research, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, Wisconsin 53705, USA.
Scott M Berry
David J Beebe
Rob Striker

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
VERSA: An Integrated, Multi-Endpoint Platform for Circulating Tumor Cell AnalysisR01CA181648 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BERRY, SCOTT M, LANG, JOSHUA MICHAEL · 2014 to 2018
$1.6M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA181648
6 · The paper itself

Abstract

Quantification of the HIV viral reservoir is critical to understanding HIV latency, advancing patient care and ultimately achieving a cure. To quantify the reservoir, a new metric was recently introduced, which quantified cells carrying multiply spliced HIV RNA. The developed assay, Tat/rev Induced Limiting Dilution Assay (TILDA), enables quantification of cells containing multiply-spliced HIV RNA events as an indicator of reservoir size. Due to TILDA's reliance on a limiting dilution format paired with the rarity of target events, numerous individual reactions are required to obtain a single endpoint. The current assay embodiment uses a whole cell input to detect target RNA sequences without the traditional preceding nucleic acid purification steps. Thus, while the direct measurement of target events from whole cells significantly streamlines the workflow, there is a cost in sensitivity and assay throughput. Here, we apply a new technique for rapid RNA isolation, Exclusion-Based Sample Preparation, to TILDA, with the goal of alleviating these limitations without significantly adding to the workflow. By combining TILDA with multiplexed RNA extraction enabled by exclusion-based sample preparation, assay sensitivity and capacity are improved while maintaining assay simplicity, advancements that could facilitate eventual clinical implementation in detecting rare events in patients.

Indexed as

Genetic TechniquesHIV-1RNA SplicingRNA, ViralHIV InfectionsHumansLeukocytes, MononuclearPolymerase Chain ReactionT-LymphocytesVirus LatencyRNA, Viral

Identifiers

PMID29098230
PMCPMC5733636

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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.