Small transcriptional differences among cell clones lead to distinct NF-κB dynamics
Transcription factor dynamics is fundamental to determine the activation of accurate transcriptional programs and yet is heterogeneous at a single-cell level, even within homogeneous populations. We asked how such heterogeneity emerges for the nuclear factor κB (NF-κB). We found that clonal populati...
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Published in | iScience Vol. 26; no. 12; p. 108573 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
15.12.2023
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Transcription factor dynamics is fundamental to determine the activation of accurate transcriptional programs and yet is heterogeneous at a single-cell level, even within homogeneous populations. We asked how such heterogeneity emerges for the nuclear factor κB (NF-κB). We found that clonal populations of immortalized fibroblasts derived from a single mouse embryo display robustly distinct NF-κB dynamics upon tumor necrosis factor ɑ (TNF-ɑ) stimulation including persistent, oscillatory, and weak activation, giving rise to differences in the transcription of its targets. By combining transcriptomics and simulations we show how less than two-fold differences in the expression levels of genes coding for key proteins of the signaling cascade and feedback system are predictive of the differences of the NF-κB dynamic response of the clones to TNF-ɑ and IL-1β. We propose that small transcriptional differences in the regulatory circuit of a transcription factor can lead to distinct signaling dynamics in cells within homogeneous cell populations and among different cell types.
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•Clones from fibroblasts of a single mouse embryo have distinct NF-κB dynamics•NF-κB oscillatory responses to TNF-α and IL-1β are different across clones•Clones have small transcriptional differences in key elements of NF-κB signaling•Modeling shows that transcriptional differences lead to distinct NF-κB dynamics
Systems biology; Transcriptomics; Cell signaling; Biophysics |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2023.108573 |