Back

Monocyte Migration Emerges from a Divergent Chemokine Signaling Network

So, S. S.; Lona, A. N.; Pokhrel, R.; Morgan, A. L.; Saltikova, M.; Nguyen, T.; Carretero Chavez, W.; Ngo, T.; Robinson, H. R.; Huang, C.; Devkota, S. R.; Bhusal, R. P.; Drewry, D. H.; Steele, J. R.; Schittenhelm, R. B.; Handel, T. M.; Foster, S. R.; Kufareva, I.; Stone, M. J.

2026-05-04 systems biology
10.64898/2026.04.29.721539 bioRxiv
Show abstract

Migration of leukocytes in the context of immune homeostasis or inflammatory diseases is regulated by activation of chemokine receptors by chemokine ligands. To elucidate how these interactions give rise to cell migration, we mapped the chemokine-stimulated signal transduction network in monocytic THP-1 cells. Global phosphoproteomics revealed 630 time-resolved changes in phosphorylated proteins downstream of the chemokine receptor CCR2. We used the "PHONEMeS" network modeling algorithm to generate the most parsimonious signal transduction network consistent with the observed protein phosphorylation data. The CCR2 signaling network is highly divergent, acting via multiple branches to regulate proteins required for cell migration. We validated this model using kinase inhibitors targeting different branches of the network and successfully blocked chemokine-stimulated cell migration. Thus, chemotaxis is an emergent property resulting from an integrated cellular response to divergent signaling pathways. This paradigm suggests that physiological regulation or pharmacological blockade of chemokine-driven inflammation could potentially be achieved by inhibiting any of the divergent pathways within the network.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 0.4%
22.5%
2
Cell Reports
1338 papers in training set
Top 2%
10.1%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
8.4%
4
iScience
1063 papers in training set
Top 0.9%
6.8%
5
Nature Communications
4913 papers in training set
Top 27%
6.8%
50% of probability mass above
6
Cell Systems
167 papers in training set
Top 3%
4.8%
7
PLOS Biology
408 papers in training set
Top 3%
4.0%
8
npj Systems Biology and Applications
99 papers in training set
Top 0.5%
3.6%
9
Cell
370 papers in training set
Top 7%
3.1%
10
Science Advances
1098 papers in training set
Top 12%
2.1%
11
Science Signaling
55 papers in training set
Top 0.1%
2.1%
12
Scientific Reports
3102 papers in training set
Top 58%
1.7%
13
Molecular Systems Biology
142 papers in training set
Top 0.7%
1.7%
14
Communications Biology
886 papers in training set
Top 11%
1.5%
15
Developmental Cell
168 papers in training set
Top 10%
1.1%
16
Cell Reports Medicine
140 papers in training set
Top 8%
0.7%
17
Journal of Leukocyte Biology
40 papers in training set
Top 0.5%
0.7%
18
Life Science Alliance
263 papers in training set
Top 2%
0.7%
19
PLOS Pathogens
721 papers in training set
Top 9%
0.7%
20
Nature Microbiology
133 papers in training set
Top 5%
0.7%
21
PLOS Genetics
756 papers in training set
Top 17%
0.6%
22
Journal of Biological Chemistry
641 papers in training set
Top 5%
0.6%
23
PLOS Computational Biology
1633 papers in training set
Top 27%
0.6%
24
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 11%
0.6%
25
Molecular Cell
308 papers in training set
Top 11%
0.6%
26
The Journal of Neuroscience
928 papers in training set
Top 9%
0.6%