Back

Elevated conformational dynamics makes ACKR3 activation-prone and G protein-incompetent

Wang, K.; Ngo, T.; Khare, E.; Chitsazi, R.; Roy, S.; Schafer, C. T.; Handel, T. M.; Kufareva, I.

2026-05-20 pharmacology and toxicology
10.64898/2026.05.17.725760 bioRxiv
Show abstract

The atypical receptor ACKR3 works together with the canonical chemokine receptor CXCR4 to drive cell migration along gradients of their shared agonist CXCL12. CXCR4 promotes chemotaxis by activating canonical G protein pathways and recruiting {beta}-arrestins. ACKR3 indirectly regulates CXCR4-mediated chemotaxis by scavenging CXCL12. Unlike canonical chemokine receptors, ACKR3 does not couple to G proteins and instead is 100% biased towards {beta}-arrestins. CXCR4 activation by CXCL12 is exquisitely sensitive to subtle changes in both receptor and ligand. By contrast, ACKR3 is activation-prone: it recruits {beta}-arrestins in response to many ligands and is much less sensitive to mutations, suggesting distinct activation mechanisms compared to CXCR4. To explore the basis of these differences, we compared the dynamics of ACKR3 and CXCR4 complexes with chemokines using molecular dynamic (MD) simulations. Ten-microsecond atomistic MD simulations revealed that CXCR4 adopts a stable active state when bound to WT CXCL12 but transitions to an inactive state when in complex with the antagonist variant, [P2G]CXCL12. By comparison, ACKR3 exhibits a variable transmembrane (TM) 6 state distribution and persistently "active" TM7 when complexed with either WT CXCL12 or [P2G]CXCL12, the latter retaining substantial agonistic activity at ACKR3. We further identified ligand-mediated residue interaction networks in the TM core that regulate TM6 and TM7 activation in CXCR4 but are absent or disrupted in ACKR3, resulting in less constrained receptor dynamics. These findings were validated by BRET-based assays with CXCL12 and ACKR3 mutants. Together, the data suggests that the unique conformational dynamics of ACKR3 govern its activation propensity, its ligand promiscuity, and its atypical effector coupling.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 0.3%
23.0%
2
Nature Communications
4913 papers in training set
Top 9%
15.0%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 5%
10.3%
4
Scientific Reports
3102 papers in training set
Top 22%
4.9%
50% of probability mass above
5
Journal of Biological Chemistry
641 papers in training set
Top 0.5%
3.7%
6
Journal of Molecular Biology
217 papers in training set
Top 0.5%
3.7%
7
PLOS Biology
408 papers in training set
Top 3%
3.7%
8
mBio
750 papers in training set
Top 7%
1.9%
9
Science Advances
1098 papers in training set
Top 14%
1.9%
10
PLOS ONE
4510 papers in training set
Top 51%
1.8%
11
PLOS Genetics
756 papers in training set
Top 8%
1.7%
12
Communications Biology
886 papers in training set
Top 8%
1.7%
13
iScience
1063 papers in training set
Top 14%
1.7%
14
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
15
Human Genetics and Genomics Advances
70 papers in training set
Top 0.3%
1.5%
16
Molecular Biology of the Cell
272 papers in training set
Top 2%
1.4%
17
Computational and Structural Biotechnology Journal
216 papers in training set
Top 6%
1.2%
18
PLOS Pathogens
721 papers in training set
Top 7%
1.0%
19
Science Signaling
55 papers in training set
Top 0.3%
0.9%
20
The EMBO Journal
267 papers in training set
Top 4%
0.9%
21
EMBO reports
136 papers in training set
Top 5%
0.9%
22
Cell Reports
1338 papers in training set
Top 32%
0.8%
23
Circulation Research
39 papers in training set
Top 1%
0.8%
24
Cell Chemical Biology
81 papers in training set
Top 4%
0.7%
25
Advanced Science
249 papers in training set
Top 23%
0.5%