Evidence map›Paper›PMID 32344836›Full record

ArticleInternational journal of molecular sciences2020

Optimization of a High-Throughput 384-Well Plate-Based Screening Platform with

Shella Gilbert-Girard, Kirsi Savijoki, Jari Yli-Kauhaluoma, Adyary Fallarero

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Shella Gilbert-GirardDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0003-2338-5698
Kirsi SavijokiDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0001-5325-925X
Jari Yli-KauhaluomaDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0003-0370-7653
Adyary FallareroDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, FI-00014 Helsinki, Finland.
University of Helsinki · FI

Funding

Horizon 2020 722467
6 · The paper itself

Abstract

In recent years, bacterial infections have become a main concern following the spread of antimicrobial resistance. In addition, bacterial biofilms are known for their high tolerance to antimicrobials and they are regarded as a main cause of recalcitrant infections in humans. Many efforts have been deployed in order to find new antibacterial therapeutic options and the high-throughput screening (HTS) of large libraries of compounds is one of the utilized strategies. However, HTS efforts for anti-biofilm discovery remain uncommon. Here, we miniaturized a 96-well plate (96WP) screening platform, into a 384-well plate (384WP) format, based on a sequential viability and biomass measurements for the assessment of anti-biofilm activity. During the assay optimization process, different parameters were evaluated while using

Indexed as

Anti-Bacterial AgentsBiofilmsColoring AgentsGentian VioletHigh-Throughput Screening AssaysHumansMicrobial Sensitivity TestsMiniaturizationOxazinesPilot ProjectsPseudomonas aeruginosaSmall Molecule LibrariesStaining and LabelingStaphylococcus aureusXanthenesAnti-Bacterial AgentsColoring AgentsGentian VioletOxazinesresazurinSmall Molecule LibrariesXanthenesbacteriabiofilmscrystal violetPseudomonas aeruginosaresazurinscreeningStaphylococcus aureus

Identifiers

PMID32344836
PMCPMC7246797
OpenAlexW3019156145

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.