Published August 31, 2022 | Version v1
Journal article Open

Spatiotemporal NF-κB dynamics encodes the position, amplitude, and duration of local immune inputs

  • 1. University of Chicago
  • 2. ETH Zürich
  • 3. University of Copenhagen

Description

Infected cells communicate through secreted signaling molecules like cytokines, which carry information about pathogens. How differences in cytokine secretion affect inflammatory signaling over space and how responding cells decode information from propagating cytokines are not understood. By computationally and experimentally studying NF-κB dynamics in cocultures of signal-sending cells (macrophages) and signal-receiving cells (fibroblasts), we find that cytokine signals are transmitted by wave-like propagation of NF-κB activity and create well-defined activation zones in responding cells. NF-κB dynamics in responding cells can simultaneously encode information about cytokine dose, duration, and distance to the cytokine source. Spatially resolved transcriptional analysis reveals that responding cells transmit local cytokine information to distance-specific proinflammatory gene expression patterns, creating "gene expression zones."Despite single-cell variability, the size and duration of the signaling zone are tightly controlled by the macrophage secretion profile. Our results highlight how macrophages tune cytokine secretion to control signal transmission distance and how inflammatory signaling interprets these signals in space and time.

Data availability

All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. RNA sequencing data have been deposited at NCBI Gene Expression Omnibus (GEO) database (GSE189062) and are publicly available as of the date of publication. Single-cell NF-κB dynamics for all experiments and codes for heatmaps and single-cell dynamics have been deposited in Zenodo (DOI: 10.5281/zenodo.6858118) and are publicly available as of the date of publication. The codes for the MDS plot and clustering of RNA sequencing data have been deposited in the same Zenodo repository.

Files

sciadv.abn6240.pdf

Files (28.4 MB)

Name Size Download all
Article
md5:4da559bc95d4a5779ad5344eb1d45d95
9.7 MB Preview Download
md5:15c4836083e2db901ef1e905f61b408b
18.8 MB Preview Download

Additional details

Identifiers

DOI
10.1126/sciadv.abn6240
Other
oai:uchicago.tind.io:11008

Funding

National Institutes of Health
R01GM128042
National Institutes of Health
R01GM127527
Army Research Office
73231-EL
Danish National Research Foundation
DNRF116

UChicago Information

Division(s)
Pritzker School of Molecular Engineering
Center(s) or Institute(s)
Institute for Genomics and Systems Biology