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Epigenetic evolution and lineage histories of chronic lymphocytic leukemia

ABSTRACT: Genetic and epigenetic intra-tumoral heterogeneity cooperate to shape the evolutionary course of cancer. In addition to genetic mutations, chronic lymphocytic leukemia (CLL) undergoes diversification through stochastic DNA methylation changes – epimutations. To measure the epimutation rate at single-cell resolution, we applied multiplexed reduced representation bisulfite sequencing (MscRRBS) to healthy donors B cells and CLL patient samples. We observed that the common clonal CLL origin results in consistently elevated epimutation rate (i.e., low cell-to-cell epimutation rate variability). In contrast, variable epimutation rates across normal B cells reflect diverse evolutionary ages across the B cell differentiation trajectory, consistent with epimutations serving as a molecular clock. Heritable epimutation information allowed high-resolution lineage reconstruction with single-cell data, applicable directly to patient sample. CLL lineage tree shape revealed earlier branching and longer branch lengths than normal B cells, reflecting rapid drift after the initial malignant transformation and a greater proliferative history. To validate the inferred tree topology, we integrated MscRRBS with single-cell transcriptomes and genotyping, which confirmed that genetic subclones map to distinct clades inferred solely based on epimutation information. Lastly, to examine potential lineage biases during therapy, we profiled serial CLL samples prior to and during ibrutinib-associated lymphocytosis. Lineage trees revealed divergent clades of cells preferentially expelled from the lymph node with ibrutinib therapy, marked by distinct transcriptional profiles. These data offer direct single-cell integration of genetic, epigenetic and transcriptional information in the study of leukemia evolution, providing deeper insight into its lineage topology and enabling the charting of its evolution with therapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE109085 | GEO | 2019/05/02

REPOSITORIES: GEO

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Project description:Environmental compounds including fungicides, plastics, pesticides, dioxin and hydrocarbons can promote the epigenetic transgenerational inheritance of adult-onset disease in future generation progeny following ancestral exposure during the critical period of fetal gonadal sex determination. This study examined the actions of the pesticide methoxychlor to promote the epigenetic transgenerational inheritance of adult-onset disease and associated differential DNA methylation regions (i.e. epimutations) in sperm. Gestating F0 generation female rats were transiently exposed to methoxychlor during fetal gonadal development (gestation days 8 to 14) and then adult-onset disease was evaluated in adult F1 and F3 (great-grand offspring) generation progeny for control (vehicle exposed) and methoxychlor lineage offspring. There were increases in the incidence of kidney disease, ovary disease, and obesity in the methoxychlor lineage animals. In females and males the incidence of disease increased in both the F1 and the F3 generations and the incidence of multiple disease increased in the F3 generation. There was increased disease incidence in F4 generation reverse outcross (female) offspring indicating disease transmission was primarily transmitted through the female germline. Analysis of the F3 generation sperm epigenome of the methoxychlor lineage males identified differentially DNA methylated regions (DMR) termed epimutations in a genome-wide gene promoters analysis. These epimutations were found to be methoxychlor exposure specific in comparison with other exposure specific sperm epimutation signatures. Observations indicate that the pesticide methoxychlor has the potential to promote the epigenetic transgenerational inheritance of disease and the sperm epimutations appear to provide exposure specific epigenetic biomarkers for transgenerational disease and ancestral environmental exposures. Methylated sperm DNA was isolated from rats ancestrally exposed to methoxychlor. Three independent samples from each treatment group were obtained. Differential DNA methylation between treatment groups was determined using Nimblegen microarrays. Treated samples were paired with control samples and hybridized together on arrays, resulting in three arrays for the treatment.

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Epigenetic evolution and lineage histories of chronic lymphocytic leukemia

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