ReviewMutagenesis2011
Laser scanning cytometry for automation of the micronucleus assay.
Review in Mutagenesis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 42 citations in OpenAlex.
- Potentials of cytokinesis blocked micronucleus assay in radiation triage and biological dosimetry.Journal, genetic engineering & biotechnology · 2024Review
- Inter-laboratory automation of the in vitro micronucleus assay using imaging flow cytometry and deep learning.Archives of toxicology · 2021Article
- Micronucleus Assay: The State of Art, and Future Directions.International journal of molecular sciences · 2020Review
- Automation of the in vitro micronucleus assay using the ImagestreamCytometry. Part A : the journal of the International Society for Analytical Cytology · 2018Article
- An Integrated Experimental Design for the Assessment of Multiple Toxicological End Points in Rat Bioassays.Environmental health perspectives · 2017Article
- Reversal of Chemoresistance in Ovarian Cancer by Co-Delivery of a P-Glycoprotein Inhibitor and Paclitaxel in a Liposomal Platform.Molecular cancer therapeutics · 2016Article
- Radiation signature on exposed cells: Relevance in dose estimation.World journal of radiology · 2015Review
- Laser scanning cytometry: principles and applications-an update.Methods in molecular biology (Clifton, N.J.) · 2013Review
- Cytometry of DNA replication and RNA synthesis: Historical perspective and recent advances based on "click chemistry".Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011Review
- Automated analysis of time-lapse imaging of nuclear translocation by retrospective strategy and its application to STAT1 in HeLa cells.PloS one · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 3 countries.
Funding
Abstract
Laser scanning cytometry (LSC) provides a novel approach for automated scoring of micronuclei (MN) in different types of mammalian cells, serving as a biomarker of genotoxicity and mutagenicity. In this review, we discuss the advances to date in measuring MN in cell lines, buccal cells and erythrocytes, describe the advantages and outline potential challenges of this distinctive approach of analysis of nuclear anomalies. The use of multiple laser wavelengths in LSC and the high dynamic range of fluorescence and absorption detection allow simultaneous measurement of multiple cellular and nuclear features such as cytoplasmic area, nuclear area, DNA content and density of nuclei and MN, protein content and density of cytoplasm as well as other features using molecular probes. This high-content analysis approach allows the cells of interest to be identified (e.g. binucleated cells in cytokinesis-blocked cultures) and MN scored specifically in them. MN assays in cell lines (e.g. the CHO cell MN assay) using LSC are increasingly used in routine toxicology screening. More high-content MN assays and the expansion of MN analysis by LSC to other models (i.e. exfoliated cells, dermal cell models, etc.) hold great promise for robust and exciting developments in MN assay automation as a high-content high-throughput analysis procedure.
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What OpenQuestion holds
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.