ArticleScientific reports2017
High-resolution phenotypic profiling of natural products-induced effects on the single-cell level.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed.
- Leveraging Dissolved Organic Matter Collections as a Natural Chemical Library to Link Molecular Traits with Cellular Morphological Responses.Environmental science & technology · 2026Article
- Morphological profiling for drug discovery in the era of deep learning.Briefings in bioinformatics · 2024Review
- Hepa-ToxMOA: a pathway-screening method for evaluating cellular stress and hepatic metabolic-dependent toxicity of natural products.Scientific reports · 2024Article
- A statistical framework for high-content phenotypic profiling using cellular feature distributions.Communications biology · 2022Article
- Unleashing high content screening in hit detection - Benchmarking AI workflows including novelty detection.Computational and structural biotechnology journal · 2022Article
- Stingray Venom Proteins: Mechanisms of Action Revealed Using a Novel Network Pharmacology Approach.Marine drugs · 2021Article
- Marine dissolved organic matter: a vast and unexplored molecular space.Applied microbiology and biotechnology · 2021Review
- Advanced identification of global bioactivity hotspots via screening of the metabolic fingerprint of entire ecosystems.Scientific reports · 2020Article
- Macrophage Cytological Profiling and Anti-Inflammatory Drug Discovery.Assay and drug development technologies · 2019Article
- Identification of a 3-Alkylpyridinium Compound from the Red Sea SpongeMolecules (Basel, Switzerland) · 2018Article
- Bioactive Potential of Marine Macroalgae from the Central Red Sea (Saudi Arabia) Assessed by High-Throughput Imaging-Based Phenotypic Profiling.Marine drugs · 2017Article
- Anti-cancer agents in Saudi Arabian herbals revealed by automated high-content imaging.PloS one · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural products (NPs) are highly evolved molecules making them a valuable resource for new therapeutics. Here we demonstrate the usefulness of broad-spectrum phenotypic profiling of NP-induced perturbations on single cells with imaging-based High-Content Screening to inform on physiology, mechanisms-of-actions, and multi-level toxicity. Our technology platform aims at broad applicability using a comprehensive marker panel with standardized settings streamlined towards an easy implementation in laboratories dedicated to natural products research.
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Registered trials
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.