Evidence map›Paper›PMID 29762489›Full record

ArticleHigh-throughput2018

Comparison of Cell Arrays and Multi-Well Plates in Microscopy-Based Screening.

Ann-Kristin Becker, Holger Erfle, Manuel Gunkel, Nina Beil, Lars Kaderali, Vytaute Starkuviene

Abstract read
In one paragraph

Article in High-throughput, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ann-Kristin BeckerInstitute of Bioinformatics, University Medicine Greifswald, 17475 Greifswald, Germany. ann-kristin.becker@uni-greifswald.de.
Holger ErfleBioQuant, Heidelberg University, 69120 Heidelberg, Germany. holger.erfle@bioquant.uni-heidelberg.de.
Manuel GunkelBioQuant, Heidelberg University, 69120 Heidelberg, Germany. manuel.gunkel@bioquant.uni-heidelberg.de.
Nina BeilBioQuant, Heidelberg University, 69120 Heidelberg, Germany. nina.beil@bioquant.uni-heidelberg.de.
Lars KaderaliInstitute of Bioinformatics, University Medicine Greifswald, 17475 Greifswald, Germany. lars.kaderali@uni-greifswald.de.
Vytaute StarkuvieneBioQuant, Heidelberg University, 69120 Heidelberg, Germany. vytaute.starkuviene@bioquant.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-well plates and cell arrays enable microscopy-based screening assays in which many samples can be analysed in parallel. Each of the formats possesses its own strengths and weaknesses, but reference comparisons between these platforms and their application rationale is lacking. We aim to fill this gap by comparing two RNA interference (RNAi)-mediated fluorescence microscopy-based assays, namely epidermal growth factor (EGF) internalization and cell cycle progression, on both platforms. Quantitative analysis revealed that both platforms enabled the generation of data with the appearance of the expected phenotypes significantly distinct from the negative controls. The measurements of cell cycle progression were less variable in multi-well plates. The result can largely be attributed to higher cell numbers resulting in less data variability when dealing with the assay generating phenotypic cell subpopulations. The EGF internalization assay with a uniform phenotype over nearly the whole cell population performed better on cell arrays than in multi-well plates. The result was achieved by scoring five times less cells on cell arrays than in multi-well plates, indicating the efficiency of the cell array format. Our data indicate that the choice of the screening platform primarily depends on the type of the cellular assay to achieve a maximum data quality and screen efficiency.

Indexed as

cell arrayscell-based screeningRNA interference

Identifiers

PMID29762489
PMCPMC6023461

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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.