Back

Neuroligin-3 interaction with CSPG4 regulates normal and malignant glial precursors through PIEZO1

Gillespie, S. M.; Kim, Y. S.; Geraghty, A. C.; Yalcin, B.; Mancusi, R.; Hysinger, J.; Ivec, A. E.; Reed, J.; Drexler, R.; Quezada, M.; Malacon, K.; Woo, P. J.; Yang, A.; Lam, M.; Pan, Y.; Zuchero, J. B.; Trotter, J.; Monje, M.

2025-07-17 neuroscience
10.1101/2025.07.12.664340 bioRxiv
Show abstract

Glioma pathophysiology is robustly regulated by interactions with neurons. Key to these interactions is the role of neuroligin-3 (NLGN3), a synaptic adhesion molecule shed in response to neuronal activity1-5 that functions as a paracrine factor crucial for glioma growth. Here, we elucidate the mechanistic pathway whereby shed NLGN3 interacts with glioma and their normal glial counterpart. NLGN3 interacts with Chondroitin Sulfate Proteoglycan 4 (CSPG4) on both glioma and healthy oligodendrocyte precursor cells (OPCs)6-9, facilitating CSPG4 shedding by ADAM10. NLGN3-CSPG4 interactions and consequent shedding alter membrane tension, thereby activating PIEZO1 mechanosensitive channels and causing membrane depolarization. The NLGN3-CSPG4-PIEZO1 axis maintains OPCs in an undifferentiated, stem-like state and promotes glioma proliferation, underscoring important functional roles for the NLGN3-CSPG4-PIEZO1 axis in both healthy and malignant glial precursors.

Matching journals

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

1
Nature Communications
○ 5641 papers in training set
Top 4%
26.5%
Similar papers in this journal
2
Nature Neuroscience
○ 252 papers in training set
Top 0.6%
9.8%
Similar papers in this journal
3
Neuron
○ 337 papers in training set
Top 0.7%
7.9%
Similar papers in this journal
4
Nature
○ 645 papers in training set
Top 2%
6.7%
Similar papers in this journal
50% of probability mass above
5
Cell Reports
○ 1498 papers in training set
Top 6%
5.5%
Similar papers in this journal
6
Cell
○ 431 papers in training set
Top 2%
5.1%
7
Science Advances
● 1243 papers in training set
Top 6%
4.8%
8
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 11%
4.3%
9
eLife
● 5828 papers in training set
Top 28%
4.3%
10
Cell Stem Cell
○ 62 papers in training set
Top 0.5%
3.2%
11
Developmental Cell
○ 196 papers in training set
Top 2%
2.1%
12
Nature Metabolism
○ 69 papers in training set
Top 1%
1.3%
13
Science
● 477 papers in training set
Top 7%
1.1%
14
iScience
○ 1154 papers in training set
Top 26%
1.1%
15
Advanced Science
○ 286 papers in training set
Top 8%
1.0%
16
Journal of Clinical Investigation
● 179 papers in training set
Top 6%
0.8%
17
Current Biology
○ 665 papers in training set
Top 10%
0.8%
18
Communications Biology
○ 993 papers in training set
Top 30%
0.8%
19
EMBO Molecular Medicine
○ 95 papers in training set
Top 3%
0.6%
20
Science Translational Medicine
● 127 papers in training set
Top 4%
0.6%
21
Nature Methods
○ 385 papers in training set
Top 7%
0.6%
22
The EMBO Journal
○ 309 papers in training set
Top 7%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.