Evidence map›Paper›PMID 33446877›Full record

ArticleScientific reports2021

Integrated, automated maintenance, expansion and differentiation of 2D and 3D patient-derived cellular models for high throughput drug screening.

Ibrahim Boussaad, Gérald Cruciani, Silvia Bolognin, Paul Antony, Claire M Dording, Yong-Jun Kwon, Peter Heutink, Eugenio Fava, Jens C Schwamborn, Rejko Krüger

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

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  12. Non-small cell lung cancer organoids: Advances and challenges in current applications.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
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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

10 authors at 5 institutions in 2 countries.

Ibrahim BoussaadLuxembourg Centre for Systems Biomedicine, Translational Neuroscience, University of Luxembourg, Luxembourg, Luxembourg.
Gérald CrucianiLuxembourg Centre for Systems Biomedicine, Translational Neuroscience, University of Luxembourg, Luxembourg, Luxembourg.
Silvia BologninDevelopmental Biology, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg, Luxembourg.
Paul AntonyLuxembourg Centre for Systems Biomedicine, Translational Neuroscience, University of Luxembourg, Luxembourg, Luxembourg.
Claire M DordingDisease Modeling and Screening Platform (DMSP), Luxembourg Centre of Systems Biomedicine (Biomedicine), University of Luxembourg and Luxembourg Institute of Health (LIH), 6 Avenue du Swing, 4367, Belvaux, Luxembourg.
Yong-Jun KwonDisease Modeling and Screening Platform (DMSP), Luxembourg Centre of Systems Biomedicine (Biomedicine), University of Luxembourg and Luxembourg Institute of Health (LIH), 6 Avenue du Swing, 4367, Belvaux, Luxembourg.
Peter HeutinkGerman Center for Neurodegenerative Diseases (DZNE)-Tübingen &, Hertie Institute for Clinical Brain Research, Otfried Müller Strasse 23, 72076, Tübingen, Germany.
Eugenio FavaGerman Center for Neurodegenerative Diseases (DZNE) - Core Research Facilities and Services - Venusberg-Campus 1, Gebäude 99, 53127, Bonn, Germany.
Jens C SchwambornDevelopmental Biology, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg, Luxembourg.
Rejko KrügerLuxembourg Centre for Systems Biomedicine, Translational Neuroscience, University of Luxembourg, Luxembourg, Luxembourg. Rejko.krueger@uni.lu.
Luxembourg Institute of Health · LUUniversity of Luxembourg · LUCentre Hospitalier de Luxembourg · LUGerman Center for Neurodegenerative Diseases · DEHertie Institute for Clinical Brain Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-derived cellular models become an increasingly powerful tool to model human diseases for precision medicine approaches. The identification of robust cellular disease phenotypes in these models paved the way towards high throughput screenings (HTS) including the implementation of laboratory advanced automation. However, maintenance and expansion of cells for HTS remains largely manual work. Here, we describe an integrated, complex automated platform for HTS in a translational research setting also designed for maintenance and expansion of different cell types. The comprehensive design allows automation of all cultivation steps and is flexible for development of methods for variable cell types. We demonstrate protocols for controlled cell seeding, splitting and expansion of human fibroblasts, induced pluripotent stem cells (iPSC), and neural progenitor cells (NPC) that allow for subsequent differentiation into different cell types and image-based multiparametric screening. Furthermore, we provide automated protocols for neuronal differentiation of NPC in 2D culture and 3D midbrain organoids for HTS. The flexibility of this multitask platform makes it an ideal solution for translational research settings involving experiments on different patient-derived cellular models for precision medicine.

Indexed as

Automation, LaboratoryCell Culture TechniquesModels, BiologicalPrecision MedicineDrug Evaluation, PreclinicalHumansOrganoids

Identifiers

PMID33446877
PMCPMC7809482
OpenAlexW3120413946

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.