High Content Screening Assay of Inhibitors of the <i>Legionella Pneumophila</i> Histone Methyltransferase RomA in Infected Cells

Resistance to anti-microbial agents is a world-wide health threat. Thus, there is an urgent need for new treatments. An alternative approach to disarm pathogens consists in developing drugs targeting epigenetic modifiers. Bacterial pathogens can manipulate epigenetic regulatory systems of the host to bypass defences to proliferate and survive. One example is Legionella pneumophila, a Gram-negative intracellular pathogen that targets host chromatin with a specific, secreted bacterial SET-domain methyltransferase named RomA. This histone methyltransferase specifically methylates H3 K14 during infection and is responsible for changing the host epigenetic landscape upon L. pneumophila infection. To inhibit RomA activity during infection, we developed a reliable high-content imaging screening assay, which we used to screen an in-house chemical library developed to inhibit DNA and histone methyltransferases. This assay was optimised using monocytic leukemic THP-1 cells differentiated into macrophages infected with L. pneumophila in a 96- or 384-well plate format using the Opera Phenix (Perkin Elmer) confocal microscope, combined with Columbus software for automated image acquisition and analysis. H3 K14 methylation was followed in infected, single cells and cytotoxicity was assessed in parallel. A first pilot screening of 477 compounds identified a potential starting point for inhibitors of H3 K14 methylation.

Authors

Institutions

Publication Details

Journal
ChemBioChem
Published
2024-09-10
DOI
https://doi.org/10.1002/cbic.202400293
Citations
1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High Content Screening Assay of Inhibitors of the Legionella Pneumophila Histone Methyltransferase RomA in Infected Cells

Sonia Nicchi, Paola B. Arimondo, Monica Rolando, Jeanne Chiaravalli et al.
1 citations
ChemBioChem
Antibiotic Resistance in Bacteria
0.17
article

High Content Screening Assay of Inhibitors of the Legionella Pneumophila Histone Methyltransferase RomA in Infected Cells

Sonia Nicchi, Paola B. Arimondo, Monica Rolando, Jeanne Chiaravalli, Anne Danckaert, Carmen Buchrieser, Magdalena Barbachowska, Marine Ghazarian, Thomas Harivel
article en
1 citations

Abstract

Resistance to anti-microbial agents is a world-wide health threat. Thus, there is an urgent need for new treatments. An alternative approach to disarm pathogens consists in developing drugs targeting epigenetic modifiers. Bacterial pathogens can manipulate epigenetic regulatory systems of the host to bypass defences to proliferate and survive. One example is Legionella pneumophila, a Gram-negative intracellular pathogen that targets host chromatin with a specific, secreted bacterial SET-domain methyltransferase named RomA. This histone methyltransferase specifically methylates H3 K14 during infection and is responsible for changing the host epigenetic landscape upon L. pneumophila infection. To inhibit RomA activity during infection, we developed a reliable high-content imaging screening assay, which we used to screen an in-house chemical library developed to inhibit DNA and histone methyltransferases. This assay was optimised using monocytic leukemic THP-1 cells differentiated into macrophages infected with L. pneumophila in a 96- or 384-well plate format using the Opera Phenix (Perkin Elmer) confocal microscope, combined with Columbus software for automated image acquisition and analysis. H3 K14 methylation was followed in infected, single cells and cytotoxicity was assessed in parallel. A first pilot screening of 477 compounds identified a potential starting point for inhibitors of H3 K14 methylation.

ChemBioChemVol. 25(23)
Centre National de la Recherche Scientifique (FR), Institut Pasteur (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR)
Agence Nationale de la Recherche, Centre National de la Recherche Scientifique
Good health and well-being
Openalex Percentile: Top 57%
Antibiotic Resistance in Bacteria
0.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.