Back

Globular domain histone H3R131C mutation remodels chromatin accessibility to promote oncogenic transcriptional programs

Lohano, S. V.; Sad, K.; Kyle, A. J.; Hill, E. J.; Sloan, S. A.; Corbett, A. H.; Spangle, J. H.

2026-05-29 cancer biology
10.64898/2026.05.27.728333 bioRxiv
Show abstract

Histone mutations, characterized as oncohistones, have emerged as important oncogenic driver events by altering chromatin structure and/or chromatin modifications, thereby dysregulating gene expression. While H3 tail domain oncohistone mutations such as H3K27M and H3K36M are well characterized, it is currently unknown whether mutations within the H3 globular domain represent oncogenic driver events. Using publicly available cancer patient tumor data, here we identify H3R131C as a recurrent histone H3 globular domain mutation. H3R131C mutation is present in diverse human tumors including breast and bladder cancers. Phenotypic assays demonstrate that H3R131C expression does not augment cellular proliferation but enhances cellular migration and invasion. H3R131C frequently co-occurs with mutations in oncogenes including PIK3CA and ESR1, and tumor suppressors TP53 and CDKN2A with an allele frequency consistent with H3R131C representing a subclonal event that enhances tumor fitness rather than initiating transformation. Mechanistically, ATAC-seq reveals that H3R131C expression increases chromatin accessibility, with enrichment of AP-1/bZIP transcription factor motifs at gained accessible regions. Integration of chromatin accessibility and transcriptomic profiling identifies concordant upregulation of pro-oncogenic target genes including PGF, SOX5, and CCDC88C, supporting a model in which H3R131C destabilizes the nucleosome to remodel chromatin and activate transcriptional programs associated with cellular migration, angiogenesis, and epithelial plasticity. Collectively, these findings identify H3R131C as a functionally active globular domain oncohistone that reshapes the epigenome to promote oncogenic gene expression.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 11%
16.6%
2
Cell Reports
1498 papers in training set
Top 1%
11.6%
3
Oncogene
85 papers in training set
Top 0.2%
7.7%
4
Molecular Cell
350 papers in training set
Top 1%
5.3%
5
Molecular Cancer Research
49 papers in training set
Top 0.1%
5.3%
6
Science Advances
1243 papers in training set
Top 6%
4.7%
50% of probability mass above
7
Cancer Research
130 papers in training set
Top 0.7%
4.7%
8
Nature Genetics
286 papers in training set
Top 2%
4.2%
9
Cancer Discovery
66 papers in training set
Top 0.9%
2.3%
10
Cancer Cell
42 papers in training set
Top 0.7%
2.1%
11
Nature
645 papers in training set
Top 6%
2.1%
12
Nucleic Acids Research
1281 papers in training set
Top 8%
2.1%
13
Genome Medicine
183 papers in training set
Top 2%
2.1%
14
Advanced Science
286 papers in training set
Top 5%
1.7%
15
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 31%
1.5%
16
Nature Cancer
39 papers in training set
Top 0.9%
1.5%
17
Nature Cell Biology
118 papers in training set
Top 2%
1.4%
18
eLife
5828 papers in training set
Top 53%
1.4%
19
The EMBO Journal
309 papers in training set
Top 5%
1.1%
20
Clinical Cancer Research
64 papers in training set
Top 2%
1.1%
21
EMBO Reports
263 papers in training set
Top 7%
1.0%
22
Genome Biology
637 papers in training set
Top 8%
0.9%
23
Journal of Clinical Investigation
179 papers in training set
Top 6%
0.8%
24
Cancer Research Communications
51 papers in training set
Top 2%
0.8%
25
Communications Biology
993 papers in training set
Top 32%
0.8%
26
Nature Ecology & Evolution
18 papers in training set
Top 0.4%
0.8%
27
Science Signaling
65 papers in training set
Top 2%
0.6%
28
Genome Research
468 papers in training set
Top 7%
0.6%