Back

H3 dopaminylation and CaMKII modulate diffuse midline glioma response to CDK9 inhibition

Murdaugh, R. L.; Eberl, B. R.; Richard, R. U.; Campos-Hensley, E. I.; Nnyagu, A. N.; Elam, W. A.; Tsao, A.-N. N.; Tremblay, J. R.; Ma, R.; Dei-Ampeh, A. K.; Pham, K.; Kraushaar, D. C.; Yu, K.; Olson, C. M.; Serin Harmanci, A.; Deneen, B.; Anastas, J. N.

2026-04-10 cancer biology
10.64898/2026.04.07.714507 bioRxiv
Show abstract

Aberrant neurotransmitter signaling and transcriptional dysregulation are hallmarks of gliomagenesis and represent potential therapeutic targets. Monoamine neurotransmitters such as dopamine and serotonin primarily activate GPCRs but can also function epigenetically as histone H3 modifications. Here, we uncover mechanisms of crosstalk between monoamine neurotransmitter signaling, H3 dopaminylation, and RNA polymerase II (Pol2) transcription in diffuse midline glioma (DMG). We find that co-treatment with Pol2-targeting CDK9 inhibitors (CDK9i) and FDA-approved neuropsychiatric drugs, including selective serotonin reuptake inhibitors (SSRIs), synergistically reduces DMG growth. Mechanistically, CDK9i+SSRI treatment alters H3 dopaminylation patterns and represses synaptic and neurodevelopmental gene transcription associated with CDK9i resistance. Further phospho-proteomic analyses show that CDK9i monotherapy activates pro-survival CaMKII signaling, which can be suppressed by co-treatment with neuromodulatory drugs. These studies establish roles for H3 dopaminylation and neurotransmitter signaling in DMG gene regulation and response to CDK9i, suggesting that monoamine neurotransmitter pathways may be exploited as a therapeutic strategy for DMG.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 19%
9.8%
2
Cell Reports
1338 papers in training set
Top 3%
9.8%
3
Cancer Research
116 papers in training set
Top 0.1%
8.2%
4
Cancer Cell
38 papers in training set
Top 0.1%
6.6%
5
Cell Reports Medicine
140 papers in training set
Top 0.5%
6.2%
6
Journal of Clinical Investigation
164 papers in training set
Top 0.4%
6.2%
7
Advanced Science
249 papers in training set
Top 6%
3.5%
50% of probability mass above
8
eLife
5422 papers in training set
Top 30%
3.0%
9
Neuro-Oncology
30 papers in training set
Top 0.3%
3.0%
10
Science Advances
1098 papers in training set
Top 11%
2.4%
11
Cell Genomics
162 papers in training set
Top 3%
2.0%
12
Molecular Cell
308 papers in training set
Top 6%
2.0%
13
Science
429 papers in training set
Top 12%
2.0%
14
Nature Cancer
35 papers in training set
Top 0.6%
1.8%
15
Cancer Discovery
61 papers in training set
Top 1.0%
1.8%
16
Gastroenterology
40 papers in training set
Top 1%
1.6%
17
Science Translational Medicine
111 papers in training set
Top 3%
1.6%
18
Genome Medicine
154 papers in training set
Top 5%
1.6%
19
Oncogene
76 papers in training set
Top 1%
1.4%
20
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 35%
1.4%
21
Brain
154 papers in training set
Top 3%
1.3%
22
Molecular Cancer
14 papers in training set
Top 0.6%
1.2%
23
Nature Cell Biology
99 papers in training set
Top 4%
1.1%
24
Cell
370 papers in training set
Top 14%
1.1%
25
Immunity
58 papers in training set
Top 3%
0.9%
26
JCI Insight
241 papers in training set
Top 6%
0.9%
27
Clinical Cancer Research
58 papers in training set
Top 2%
0.9%
28
Nature Genetics
240 papers in training set
Top 7%
0.8%
29
Nature
575 papers in training set
Top 16%
0.7%
30
Cell Stem Cell
57 papers in training set
Top 2%
0.7%