Evidence map›Paper›PMID 32466195›Full record

ArticleViruses2020

A High-Throughput HIV-1 Drug Screening Platform, Based on Lentiviral Vectors and Compatible with Biosafety Level-1.

Bernhard Ellinger, Daniel Pohlmann, Jannis Woens, Felix M Jäkel, Jeanette Reinshagen, Carol Stocking, Vladimir S Prassolov, Boris Fehse, Kristoffer Riecken

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

9 authors at 4 institutions in 2 countries.

Bernhard EllingerDepartment Screening Port, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, 22525 Hamburg, Germany.ORCID 0000-0001-5703-3901
Daniel PohlmannResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Jannis WoensResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Felix M JäkelResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Jeanette ReinshagenDepartment Screening Port, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, 22525 Hamburg, Germany.
Carol StockingResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Vladimir S PrassolovEngelhardt-Institute of Molecular Biology, Russian Academy of Sciences, 117984 Moscow, Russia.
Boris FehseResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.ORCID 0000-0001-9780-7211
Kristoffer RieckenResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.ORCID 0000-0001-9050-6766
Universität Hamburg · DEFraunhofer Institute for Molecular Biology and Applied Ecology · DEEngelhardt Institute of Molecular Biology · RULeibniz Institute of Virology (LIV) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV-1 infection is a complex, multi-step process involving not only viral, but also multiple cellular factors. To date, drug discovery methods have primarily focused on the inhibition of single viral proteins. We present an efficient and unbiased approach, compatible with biosafety level 1 (BSL-1) conditions, to identify inhibitors of HIV-1 reverse transcription, intracellular trafficking, nuclear entry and genome integration. Starting with a fluorescent assay setup, we systematically improved the screening methodology in terms of stability, efficiency and pharmacological relevance. Stability and throughput were optimized by switching to a luciferase-based readout. BSL-1 compliance was achieved without sacrificing pharmacological relevance by using lentiviral particles pseudo-typed with the mouse ecotropic envelope protein to transduce human PM1 T cells gene-modified to express the corresponding murine receptor. The cellular assay was used to screen 26,048 compounds selected for maximum diversity from a 200,640-compound in-house library. This yielded z' values greater than 0.8 with a hit rate of 3.3% and a confirmation rate of 50%. We selected 93 hits and enriched the collection with 279 similar compounds from the in-house library to identify promising structural features. The most active compounds were validated using orthogonal assay formats. The similarity of the compound profiles across the different platforms demonstrated that the reported lentiviral assay system is a robust and versatile tool for the identification of novel HIV-1 inhibitors.

Indexed as

Genetic VectorsAnimalsAnti-HIV AgentsCell LineContainment of BiohazardsDrug DevelopmentDrug DiscoveryDrug Evaluation, PreclinicalHEK293 CellsHigh-Throughput Screening AssaysHIV-1HumansLentivirusMiceViral Envelope ProteinsVirionAnti-HIV AgentsViral Envelope ProteinsBSL-1 screening platformhigh-throughput screeningHIV-1 drug developmentLeGO vectorslentiviral vectorsmCat1 expressing PM1 T cell line

Identifiers

PMID32466195
PMCPMC7290285
OpenAlexW3028101950

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.