Back

Decoding the Mechanism of Action of a Parasite TGFβAntagonist Inspires the Creation of Cell-type-specific TGFβ Modulators

van Dinther, M.; Schwartze, T.; Zhang, J.; Fan, K.; van der Zon, G.; Power, L.; Hinck, C.; Cianca, C.; Mukundan, A.; Gonzalez Prieto, R.; van Veelen, P. A.; Maizels, R. M.; Hinck, A. P.; ten Dijke, P.

2026-02-18 biochemistry
10.64898/2026.02.16.706112 bioRxiv
Show abstract

Heligmosomoides polygyrus, a mouse parasite, modulates host immunity by secreting modular transforming growth factor-{beta} (TGF{beta}) mimics (TGMs). The agonist TGM1 interacts with TGFBR1, TGFBR2, and the co-receptor CD44 through domains D1/2, D3, and D4/5, respectively. In contrast, the antagonist TGM6, which lacks D1/2, but retains TGFBR2 binding through D3, targets different subsets of cells compared to TGM1. The TGM6 co-receptor is unknown. Using X-ray crystallography and binding studies, we show that TGM6 preferentially binds mouse TGFBR2 over human TGFBR2, and that this is essential for its antagonistic function. We identified low-density lipoprotein receptor-related protein 1 (LRP1) and betaglycan (TGFBR3) as co-receptors for TGM6. LRP1 enhances TGM6 efficacy and is vital for its specific antagonistic effects by promoting TGFBR2 degradation, while betaglycan counteracts TGM6 in a TGFBR2-dependent manner. The modular organization of TGMs enabled us to rationally design TGM1/6 chimeras or TGM-D3 fusion with an affibody that recognizes a specific cell-surface receptor, thereby altering cell-type specificity and functionality. Furthermore, we developed a TGFBR2 nanobody that, on its own, has no inhibitory effect but, when fused to a receptor antibody, antagonizes TGF{beta} signaling in a cell-selective manner. Thus, we designed programmable agents that modulate TGF{beta} signaling only in target co-receptor-expressing cells.

Published in Advanced Science · training set

Matching journals

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

1
Matrix Biology
29 papers in training set
Top 0.1%
22.2%
2
eLife
5828 papers in training set
Top 7%
12.4%
3
Nature Communications
5641 papers in training set
Top 17%
11.0%
4
Life Science Alliance
285 papers in training set
Top 0.2%
7.2%
50% of probability mass above
5
Science Advances
1243 papers in training set
Top 4%
5.5%
6
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 10%
5.1%
7
Journal of Biological Chemistry
690 papers in training set
Top 2%
4.3%
8
PLOS Genetics
862 papers in training set
Top 4%
3.1%
9
Cell Reports
1498 papers in training set
Top 14%
2.7%
10
PLOS Biology
486 papers in training set
Top 3%
2.4%
11
The EMBO Journal
309 papers in training set
Top 2%
2.4%
12
EMBO Reports
263 papers in training set
Top 4%
1.7%
13
PLOS Pathogens
820 papers in training set
Top 8%
1.1%
14
Molecular Cell
350 papers in training set
Top 4%
1.0%
15
Journal of Clinical Investigation
179 papers in training set
Top 5%
1.0%
16
Science
477 papers in training set
Top 8%
1.0%
17
Nature Chemical Biology
119 papers in training set
Top 3%
0.8%
18
Cellular and Molecular Life Sciences
96 papers in training set
Top 2%
0.8%
19
Oncogene
85 papers in training set
Top 2%
0.8%
20
Nucleic Acids Research
1281 papers in training set
Top 14%
0.8%
21
Biochemical Journal
91 papers in training set
Top 2%
0.8%
22
Communications Biology
993 papers in training set
Top 35%
0.6%
23
iScience
1154 papers in training set
Top 40%
0.6%
24
PLOS ONE
5266 papers in training set
Top 65%
0.6%