The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data

Hidden origami in Trypanosoma cruzi nuclei highlights its non-random 3D genomic organization

The protozoan Trypanosoma cruzi is the causative agent of Chagas disease and is known for its polycistronic transcription, with about 50% of its genome consisting of repetitive sequences, including coding (primarily multigenic families) and non-coding regions (such as ribosomal DNA, spliced leader [SL], and retroelements, etc). Here, we evaluated the genomic features associated with higher-order chromatin organization in T. cruzi (Brazil A4 strain) by extensive computational processing of high-throughput chromosome conformation capture (Hi-C). Through the mHi-C pipeline, designed to handle multimapping reads, we demonstrated that applying canonical Hi-C processing, which overlooks repetitive DNA sequences, results in a loss of DNA-DNA contacts, misidentifying them as chromatin-folding (CF) boundaries. Our analysis revealed that loci encoding multigenic families of virulence factors are enriched in chromatin loops and form shorter and tighter CF domains than the loci encoding core genes. We uncovered a non-random three-dimensional (3D) genomic organization in which nonprotein-coding RNA loci (transfer RNAs [tRNAs], small nuclear RNAs, and small nucleolar RNAs) and transcription termination sites are preferentially located at the boundaries of the CF domains. Our data indicate 3D clustering of tRNA loci, likely optimizing transcription by RNA polymerase III, and a complex interaction between spliced leader RNA and 18S rRNA loci, suggesting a link between RNA polymerase I and II machineries. Finally, we highlighted a group of genes encoding virulence factors that interact with SL-RNA loci, suggesting a potential regulatory role. Our findings provide insights into 3D genome organization in T. cruzi, contributing to the understanding of supranucleosomal-level chromatin organization and suggesting possible links between 3D architecture and gene expression.IMPORTANCEDespite the knowledge about the linear genome sequence and the identification of numerous virulence factors in the protozoan parasite Trypanosoma cruzi, there has been a limited understanding of how these genomic features are spatially organized within the nucleus and how this organization impacts gene regulation and pathogenicity. By providing a detailed analysis of the three-dimensional (3D) chromatin architecture in T. cruzi, our study contributed to narrowing this gap. We deciphered part of the origami structure hidden in the T. cruzi nucleus, showing the unidimensional genomic features are non-randomly 3D organized in the nuclear organelle. We uncovered the role of nonprotein-coding RNA loci (e.g., transfer RNAs, spliced leader RNA, and 18S RNA) in shaping genomic architecture, offering insights into an additional epigenetic layer that may influence gene expression.

Single-cell diploid Hi-C reveals the role of spatial aggregations in complex rearrangements and KMT2A fusions in leukemia

BACKGROUND

Simple translocations and complex rearrangements are formed through illegitimate ligations of double-strand breaks of fusion partners and lead to generation of oncogenic fusion genes that affect cellular function. The contact first hypothesis states that fusion partners tend to colocalize prior to fusion in normal cells. Here we test this hypothesis at the single-cell level and explore the underlying mechanism.

RESULTS

By analyzing published single-cell diploid Hi-C datasets, we find partner genes fused in leukemia exhibit smaller spatial distances than those fused in solid tumor and control gene pairs. Intriguingly, multiple partners tend to colocalize with KMT2A in the same cell. 3D genome architecture has little association with lineage decision of KMT2A fusion types in leukemia. Besides simple translocations, complex rearrangement-related KMT2A fusion genes (CRGs) also show closer proximity and belong to a genome-wide mutual proximity network. We find CRGs are co-expressed, co-localized, and enriched in the targets of the transcriptional factor RUNX1, suggesting they may be involved in RUNX1-mediated transcription factories. Knockdown of RUNX1 leads to significantly fewer contacts among CRGs. We also find CRGs are enriched in active transcriptional regions and loop anchors, and exhibit high levels of TOP2-mediated DNA breakages. Inhibition of transcription leads to reduced DNA breakages of CRGs.

CONCLUSIONS

Our results demonstrate KMT2A partners and CRGs may form dynamic and multipartite spatial clusters in individual cells that may be involved in RUNX1-mediated transcription factories, wherein massive DNA damages and illegitimate ligations of genes may occur, leading to complex rearrangements and KMT2A fusions in leukemia.