henhaobio
Sign in

iScienceSystems BiologyPeer-reviewed journal article

Small transcriptional differences among cell clones lead to distinct NF-κB dynamics

Cise KizilirmakiD, Emanuele MonteleoneiD, José Manuel García-ManteigaiD, Francesca BrambillaiD, A AgrestiiD, Marco Emilio BianchiiD, Samuel ZambranoiD

PDFDOIPreprint

Abstract

Transcription factor dynamics is fundamental to determine the activation of accurate transcriptional programs and yet is heterogeneous at single-cell level, even between very similar cells. We asked how such heterogeneity emerges for the nuclear factor {kappa}B (NF-{kappa}B), whose dynamics have been reported to cover a wide spectrum of behaviors, including persistent, oscillatory and weak activation. We found that clonal populations of immortalized fibroblasts derived from a single mouse embryo display robustly distinct dynamics upon tumor necrosis factor (TNF-) stimulation, which give rise to differences in the transcription of NF-{kappa}B targets. Notably, standard transcriptomic analyses indicate that the clones differ mostly in transcriptional programs related with development, but not in TNF- signaling. However, by combining transcriptomics data and simulations we show how the expression levels of genes coding for proteins of the signaling cascade determine the differences in early NF-{kappa}B activation; differences in the expression of I{kappa}B determine differences in its persistence and oscillatory behavior. The same analysis predicts inter-clonal differences in the NF-{kappa}B response to IL-1{beta}. We propose that small (less than twofold) differences at transcript level can lead to distinct transcription factor dynamics in cells within homogeneous cell populations, and all the more so among different cell types.

Citations
6
FWCI
0.64
Field percentile
top 37%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZambrano '20Son '19Wong '19Bass '21Tortola '21Nawar '26
73% semantic matchSystems Biology
Samuel Zambrano, Alessia Loffreda, Elena Carelli+8 more·iScience·Sep 1, 2020· 21 citations