PO.MCB08.04 · 分子与细胞生物学

利用多组学数据进行染色体水平分相以解析多发性骨髓瘤的单倍型,揭示染色体间影响表观遗传状态和基因表达的复杂远端相互作用

Chromosome-level phasing to resolve haplotypes using multiomic data in multiple myeloma reveals complex distal interactions between chromosomes that impacts epigenetic states and gene expression

编号 5940 展板 28 时间 4/21 02:00–05:00 区域 Section 21 主讲 Nathan Becker, MS
分会场 Genetic and Transcriptomic Dissection of Cancer Evolution
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作者与单位 Authors & Affiliations

Nathan J. Becker1, Enze Liu1, J. Zachary Sanborn2, Attaya Suvannasankha3, Kelvin Lee3, Dickran Kazandjian1, Benjamin Diamond1, Abhishek Pandey1, Rafat Abonour1, Ola Landgren1, Elizabeth M. Munding2, Aneta Mikulasova4, Brian A. Walker1

1University of Miami, Miami, FL,2Dovetail Genomics, Scotts Valley, CA,3Indiana University, Indianapolis, IN,4University of Edinburgh, Edinburgh, United Kingdom

摘要 Abstract

中文摘要
引言:将标记连接成大型相位块(phase-block),并考察不同测序模态的相互作用,能够整合复杂的基因组和表观基因组状态,从而在染色体水平生成真正的多组学单倍型。方法:使用14例多发性骨髓瘤患者来源异种移植物(PDX)生成多组学数据,包括短读长(Illumina)和长读长(PacBio)全基因组测序(WGS)以鉴定单核苷酸变异(SNV)、拷贝数(CN)异常、结构变异(SV)和DNA甲基化,以及表达、染色质状态(Cut&Tag-IT)和Micro-C/LinkPrep(Dovetail Genomics)以鉴定三维染色质结构。生成了SNV、SV、CNV、DNA甲基化、表达和染色质标记的染色体尺度单倍型。结果:首次在多发性骨髓瘤中生成了染色体水平的完整单倍型解析组装。通过100x覆盖度的基因组Micro-C/LinkPrep文库,我们能够对每条染色体的长臂和短臂进行分相,每条常染色体平均达到94.3%的单倍型分相——从而生成长达241.9 Mb的染色体长度单倍型。生成的单倍型特异性热图使我们能够考察跨染色体的复杂SV相互作用。在一个样本中,我们鉴定出一个原发性t(11;14)以及与t(11;14)相关的额外SV事件,包括t(3;14)、t(11;17)和t(3;17),它们形成了一种环状模式。我们发现70-83.5%的读段支持特定的单倍型相互作用组合,且所有四个SV事件相互连锁并涉及每条染色体上相同的单倍型。这一相互作用模式结合本例中的断点分析,提示3、11、14和17号染色体之间存在一个四向复杂相互易位。在这一复杂SV中整合表观遗传数据显示,在t(11;14)断点旁、CCND1上游17 kb处存在DNA高甲基化,同时同一单倍型上H3K27ac标记增加,提示激活性宽域从14号染色体上的IGH超级增强子扩散而来。同样,IGH启动子处的低甲基化标记经由t(3;14)扩散至3号染色体,导致原癌基因SKIL的过表达。t(3;17)也是如此,与未易位等位基因相比,其断点两侧均显示低甲基化。结论:我们在多发性骨髓瘤中生成了首个染色体尺度的单倍型解析基因组,并将其与表观遗传状态整合,以鉴定跨染色体相互作用、解析复杂SV及其表观基因组后果,从而理解基因组组织方式的复杂本质。
查看英文原文 English abstract
Introduction: Linking markers together into large phase-blocks, and examining the interaction of different sequencing modalities, allows complex genomic and epigenomic states to be integrated to generate true multiomic haplotypes at the chromosomal level. Methods: Fourteen multiple myeloma patient-derived xenografts were used to generate multiomic data including short- (Illumina) and long-read (PacBio) whole genome sequencing (WGS) to identify single nucleotide variations (SNVs), copy number (CN) abnormalities, structural variation (SV), and DNA methylation, as well as expression, chromatin states (Cut&Tag-IT), and Micro-C/LinkPrep (Dovetail Genomics) to identify 3D chromatin architecture. Chromosome-scale haplotypes of SNVs, SVs, CNVs, DNA methylation, expression, and chromatin marks were generated. Results: For the first time, complete haplotype-resolved assemblies at the chromosomal level have been generated in multiple myeloma. A 100x coverage genome Micro-C/LinkPrep libraries we were able to phase the long and short arms of each chromosome, resulting in an average 94.3% haplotype phasing per autosome - thereby generating chromosome length haplotypes up to 241.9 Mb. Haplotype-specific heatmaps were generated allowing us to examine the interaction of complex SVs across chromosomes. In one sample, we identified a primary t(11;14) and additional SV events linked to the t(11;14) including a t(3;14), t(11;17), and t(3;17) which created a cyclical pattern. We found that 70-83.5% of reads support specific combinations of haplotype interactions, and that all four SV events were linked and involved the same haplotypes on each chromosome. The pattern of interactions combined with breakpoint analysis in this case indicated a four-way complex reciprocal translocation between chromosomes 3,11,14 and 17. Integration of epigenetic data in this complex SV showed DNA hyper-methylation 17 kb upstream of CCND1 next to the t(11;14) breakpoint as well as increased H3K27ac marks on the same haplotype, indicating spreading of the activating broad domain from the IGH super-enhancer on chromosome 14. Equally, the hypomethylated DNA marks at the IGH promoter are spread to chromosome 3, via the t(3;14), resulting in over-expression of the proto-oncogene SKIL . The same is true for the t(3;17), which shows hypomethylation on both sides of the breakpoint, compared to the non-translocated allele. Conclusion: We have generated the first chromosome scale haplotype-resolved genomes in multiple myeloma and integrated them with epigenetic states to identify interactions across chromosomes and resolve complex SVs as well as their epigenomic consequences to understand the intricate nature of how the genome is organized.
利益披露 Disclosure
N. J. Becker, None.. E. Liu, None. J. Sanborn, Cantata Bio Employment. A. Suvannasankha, None.. K. Lee, None.. D. Kazandjian, None.. B. Diamond, None.. A. Pandey, None.. R. Abonour, None.. O. Landgren, None. E. M. Munding, Cantata Bio Employment. A. Mikulasova, None.. B. A. Walker, None.

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