Evidence map›Paper›PMID 35209227›Full record

ArticleMolecules (Basel, Switzerland)2022

Image-Based Annotation of Chemogenomic Libraries for Phenotypic Screening.

Amelie Tjaden, Apirat Chaikuad, Eric Kowarz, Rolf Marschalek, Stefan Knapp, Martin Schröder, Susanne Müller

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. An Introduction to Chemogenomics.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  11. Article
  12. Discovery of 3-Amino-1International journal of molecular sciences · 2022
    Article
  13. 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

7 authors.

Amelie TjadenInstitute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.ORCID 0000-0002-0423-6593
Apirat ChaikuadInstitute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.ORCID 0000-0003-1120-2209
Eric KowarzInstitute of Pharmaceutical Biology, Goethe University, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.
Rolf MarschalekInstitute of Pharmaceutical Biology, Goethe University, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.ORCID 0000-0003-4870-3445
Stefan KnappInstitute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.ORCID 0000-0001-5995-6494
Martin SchröderInstitute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.
Susanne MüllerInstitute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str.9, 60438 Frankfurt, Germany.ORCID 0000-0003-2402-4157

Funding

Innovative Medicines Initiative 875510
6 · The paper itself

Abstract

Phenotypical screening is a widely used approach in drug discovery for the identification of small molecules with cellular activities. However, functional annotation of identified hits often poses a challenge. The development of small molecules with narrow or exclusive target selectivity such as chemical probes and chemogenomic (CG) libraries, greatly diminishes this challenge, but non-specific effects caused by compound toxicity or interference with basic cellular functions still pose a problem to associate phenotypic readouts with molecular targets. Hence, each compound should ideally be comprehensively characterized regarding its effects on general cell functions. Here, we report an optimized live-cell multiplexed assay that classifies cells based on nuclear morphology, presenting an excellent indicator for cellular responses such as early apoptosis and necrosis. This basic readout in combination with the detection of other general cell damaging activities of small molecules such as changes in cytoskeletal morphology, cell cycle and mitochondrial health provides a comprehensive time-dependent characterization of the effect of small molecules on cellular health in a single experiment. The developed high-content assay offers multi-dimensional comprehensive characterization that can be used to delineate generic effects regarding cell functions and cell viability, allowing an assessment of compound suitability for subsequent detailed phenotypic and mechanistic studies.

Indexed as

Small Molecule LibrariesCell CycleCell Line, TumorDrug DiscoveryDrug Evaluation, PreclinicalGenomicsHigh-Throughput Screening AssaysHumansMolecular ImagingReproducibility of ResultsStaining and LabelingSmall Molecule Librariescell cyclechemogenomicshigh content imagingmachine learningphenotypic screening

Identifiers

PMID35209227
PMCPMC8878468

What OpenQuestion holds

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LicenceCC BY
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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.