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Visualization and Modeling of Inhibition of IL-1β and TNFα mRNA Transcription at the Single-Cell Level

View ORCID ProfileDaniel Kalb, View ORCID ProfileHuy D. Vo, Samantha Adikari, Elizabeth Hong-Geller, View ORCID ProfileBrian Munsky, View ORCID ProfileJames Werner
doi: https://doi.org/10.1101/2020.10.16.342576
Daniel Kalb
1Center for Integrated Nanotechnologies, Los Alamos National Laboratory
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Huy D. Vo
2Department of Chemical and Biological Engineering, Colorado State University
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Samantha Adikari
3Bioscience Division, Los Alamos National Laboratory
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Elizabeth Hong-Geller
3Bioscience Division, Los Alamos National Laboratory
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Brian Munsky
2Department of Chemical and Biological Engineering, Colorado State University
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  • For correspondence: brian.munsky@colostate.edu jwerner@1anl.gov
James Werner
1Center for Integrated Nanotechnologies, Los Alamos National Laboratory
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  • For correspondence: brian.munsky@colostate.edu jwerner@1anl.gov
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Abstract

IL-1β and TNFα are canonical immune response mediators that play key regulatory roles in a wide range of inflammatory responses to both chronic and acute conditions. Here we employ an automated microscopy platform for the analysis of messenger RNA (mRNA) expression of IL-1β and TNFα at the single-cell level. The amount of IL-1β and TNFα mRNA expressed in a human monocytic leukemia cell line (THP-1) is visualized and counted using single-molecule fluorescent in-situ hybridization (smFISH) following exposure of the cells to lipopolysaccharide (LPS), an outer-membrane component of Gram-negative bacteria. We show that the small molecule inhibitors MG132 (a 26S proteasome inhibitor used to block NF-κB signaling) and U0126 (a MAPK Kinase inhibitor used to block CCAAT-enhancer-binding proteins C/EBP) successfully block IL-1β and TNFα mRNA expression. Based upon this single-cell mRNA expression data, mathematical models of gene expression indicate that the drugs U0126 and MG132 affect gene activation/deactivation rates between the basal and highly activated states. Models for which the parameters were informed by the action of each drug independently were able to predict the effects of the combined drug treatment. From our data and models, we postulate that IL-1β is activated by both NF-κB and C/EBP, while TNFα is predominantly activated by NF-κB. Our combined single-cell experimental modeling efforts shows the interconnection between these two genes and demonstrates how the single-cell responses, including the distribution shapes, mean expression, and kinetics of gene expression, change with inhibition.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 16, 2020.
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Visualization and Modeling of Inhibition of IL-1β and TNFα mRNA Transcription at the Single-Cell Level
Daniel Kalb, Huy D. Vo, Samantha Adikari, Elizabeth Hong-Geller, Brian Munsky, James Werner
bioRxiv 2020.10.16.342576; doi: https://doi.org/10.1101/2020.10.16.342576
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Visualization and Modeling of Inhibition of IL-1β and TNFα mRNA Transcription at the Single-Cell Level
Daniel Kalb, Huy D. Vo, Samantha Adikari, Elizabeth Hong-Geller, Brian Munsky, James Werner
bioRxiv 2020.10.16.342576; doi: https://doi.org/10.1101/2020.10.16.342576

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