Evidence map›Paper›PMID 36610640›Full record

ArticleSLAS discovery : advancing life sciences R & D2023

Automated high-content imaging in iPSC-derived neuronal progenitors.

Apostolos Papandreou, Christin Luft, Serena Barral, Janos Kriston-Vizi, Manju A Kurian, Robin Ketteler

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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 at 2 institutions in 1 country.

Apostolos PapandreouUniversity College London MRC Laboratory for Molecular Cell Biology, London, UK; Developmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London, UK.
Christin LuftUniversity College London MRC Laboratory for Molecular Cell Biology, London, UK.
Serena BarralDevelopmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London, UK.
Janos Kriston-ViziUniversity College London MRC Laboratory for Molecular Cell Biology, London, UK.
Manju A KurianDevelopmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London, UK.
Robin KettelerUniversity College London MRC Laboratory for Molecular Cell Biology, London, UK.
MRC Laboratory for Molecular Cell Biology · GBUniversity College London · GB

Funding

Department of Health NIHR GOSH BRC 20DD06Department of Health NIHR-RP-2016-07-019Medical Research Council MC_U12266BMedical Research Council MR/M02492X/1Wellcome TrustWellcome Trust WT098524MA
6 · The paper itself

Abstract

Induced pluripotent stem cells (iPSCs) have great potential as physiological disease models for human disorders where access to primary cells is difficult, such as neurons. In recent years, many protocols have been developed for the generation of iPSCs and the differentiation into specialised cell subtypes of interest. More recently, these models have been modified to allow large-scale phenotyping and high-content screening of small molecule compounds in iPSC-derived neuronal cells. Here, we describe the automated seeding of day 11 ventral midbrain progenitor cells into 96-well plates, administration of compounds, automated staining for immunofluorescence, the acquisition of images on a high-content screening platform and workflows for image analysis.

Indexed as

Induced Pluripotent Stem CellsCell DifferentiationCells, CulturedHumansImage Processing, Computer-AssistedNeuronsHigh-content screeningImage analysisImmunofluorescenceLab automationMulti-well platesNeurons

Identifiers

PMID36610640
PMCPMC10602900
OpenAlexW4313559967

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.