Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.64898/2026.05.11.724304

KMT5C-H4K20me3 drives changes in epigenetic landscape independent of H3K9me3

Son, J.·Shih, C.-H.·Davidson, C.·Utturkar, S. M.·Mabe, N. W.·Glaws, A.·Vertino, P. M.·Kasinski, A. L.
View original source ↗Export metadata ↓

Abstract

Histone H4 lysine 20 trimethylation (H4K20me3) is a histone modification that is critical in maintaining genome integrity. Dysregulation of H4K20me3 and KMT5C, the major methyltransferase for H4K20me3, occurs commonly in multiple types of cancer but the mechanisms surrounding how they contribute to shaping the epigenomic landscape remains unclear. Here, we show that KMT5C is involved in non-canonical deposition of H4K20me3, independent of H3K9me3, which was previously recognized as a prerequisite for H4K20me3. This novel subtype of H4K20me3 lacks canonical repressive epigenetic signatures and instead overlaps with multiple activating marks. These activating modifications likely contribute to the dynamic changes in transcript levels upon loss of H4K20me3. The mechanism involved in recruiting KMT5C to these loci is independent of HP1, the factor reported to be involved in recruitment of KMT5C to heterochromatin marked with H3K9me3. Instead, biochemical analyses revealed ZNF280C to be a novel interacting partner of KMT5C, with ZNF280C localizing specifically at H3K9me3-/H4K20me3+ sites. Together, these results suggest a novel, non-canonical function of KMT5C-H4K20me3 that protects vulnerable regions of the genome from uncontrolled expression.

Explore related subjects

genomicsPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Son, J., Shih, C.-H., Davidson, C., Utturkar, S. M., Mabe, N. W., Glaws, A., Vertino, P. M., Kasinski, A. L.. 2026-05-14. KMT5C-H4K20me3 drives changes in epigenetic landscape independent of H3K9me3. https://doi.org/10.64898/2026.05.11.724304

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Structural variation in repeat elements is widespread in normal human tissues and in tumorigenesis

Somatic mosaicism contributes to genomic variation, yet postzygotic structural variants remain under-characterized. We performed long- and short-read WGS from multiple individuals (n=47 normal tissues; n=168 samples) and identified mosaic structural variants in all individuals and germ layers, impacting a median 285.2 kb/genome. Nearly half of breakpoints were independently validated, with tissue distributions reflecting both early and late developmental origins. Most mosaic variants were repeat-mediated and 8.3% overlapped functional elements, an enrichment compared to germline variants. To extend these analyses in samples where long-read sequencing is infeasible, we measured repeat alterations from short-read sequencing, recapitulating mosaic tissue-specific differences. We characterized tumor- and tissue- specific variation in repeats across 15 cancer types and found tumor-related repeat variation to be similar in scale to that of normal mosaic variation. Tracking repeat changes in cell-free DNA provided a noninvasive approach for tumor monitoring. Our analyses revealed widespread repeat-driven structural variation in health and disease.

genomics↗
bioRxiv2026

RNA isoform-resolved multiplexed sequencing with bioorthogonal barcoding

RNA isoform dysregulation drives disease pathogenesis and is the target of FDA-approved splice-switching therapeutics. However, multiplexed sequencing methods discard splice junction information because only 3' termini are barcoded and counted. Here, we repurpose acylation and click chemistries to conjugate bioorthogonal barcodes (bobcodes) directly onto multiple internal positions along cellular RNAs. Bobcoded RNAs from multiple samples are pooled for multiplexed cDNA synthesis, during which reverse transcriptase switches from each RNA template onto its tethered bobcode with greater than 99% accuracy in species mixing experiments. Bobcode attachment intervals set cDNA insert sizes without a library fragmentation step, and priming with poly(dT) or random hexamers selects between 3'-end counting and full-length isoform capture. A bioorthogonal barcode-sequencing (BOB-seq v0.1) drug screen identifies transcriptome-wide on- and off-target RNA splicing effects and outperforms existing multiplexing RNA sequencing methods in workflow simplicity, sample-to-sample variability, and barcoding accuracy. Bobcodes add isoform resolution to scalable multiplexed RNA sequencing.

genomics↗
bioRxiv2026

Structural polymorphism and population-variable coding capacity of HERV-K(HML-2) in human pangenomes

Approximately 8% of the human genome is derived from ancient retroviral infections. The most recently integrated of these endogenous retroviruses is the HERV-K(HML-2) clade, whose expression has been associated with cancer, amyotrophic lateral sclerosis, and embryogenesis. Studies of HERV expression, particularly HML-2, have relied predominantly on short-read sequencing. However, the high similarity among HML-2 proviruses prevents many short reads from being assigned uniquely to individual loci. We therefore compared haplotype-resolved long-read genome assemblies from 292 donors to resolve variation in proviral structure and coding capacity. Several loci previously thought to be fixed were structurally polymorphic. Tandem arrays occurred at 13 loci and contained up to six proviral copies in a single array. At 8q11.23, we identified a previously undescribed full-length provirus in one haplotype. All 583 other haplotypes carried a solo-LTR. We found that standard reference genomes failed to represent the coding capacity retained in many individuals, whose proviruses contained intact open reading frames despite disruptive mutations in the reference sequences. Short-read genotypes left 32.5% of the tested donor-variant pairs unresolved at sites associated with viral reading frames. These findings show why HML-2 expression must be interpreted in the context of the structural and coding alleles each individual carries.

genomics↗