The role of DNA methylation modifiers in shaping the hematopoietic differentiation topology
DNA甲基化修饰剂在塑造造血分化拓扑中的作用
基本信息
- 批准号:10065012
- 负责人:
- 金额:$ 50.02万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-01 至 2022-11-30
- 项目状态:已结题
- 来源:
- 关键词:ATAC-seqAberrant DNA MethylationAffectBindingBlood CellsBone MarrowCell CycleCell LineageCellsChoices and ControlChromatinComplexCoupledDNA BindingDNA MethylationDNMT3aDataDevelopmentDiffuseEpigenetic ProcessErythrocytesErythroidFrequenciesGene ExpressionGenetic TranscriptionGenotypeGuide RNAHematopoiesisHematopoieticHematopoietic stem cellsHumanHypermethylationIn VitroIndividualInheritedJointsKnock-outKnockout MiceLeukocytesLinkMapsMethodsMethylationMinorityMusMutateMutationNatureNucleic Acid Regulatory SequencesOutputPatientsPopulationProcessRegulator GenesResolutionRoleShapesSiteSomatic MutationSorting - Cell MovementStochastic ProcessesSurfaceTechnologyWild Type Mousebisulfitebisulfite sequencingblood formationcell typedesigngenome-widehematopoietic differentiationhematopoietic stem cell differentiationhematopoietic stem cell expansionin vivomethylomemonocytemouse modelmultiple omicsmutantnovelpostnatalprogenitorprogramssingle cell sequencingsingle-cell RNA sequencingstemstem cellstranscription factortranscriptome sequencing
项目摘要
Hematopoietic differentiation is a stochastic process that delivers multiple distinct cell types at deterministically
fixed frequencies. These opposites are reconciled through a topological representation of differentiation: even
if the fate decision of each individual stem cell is stochastic, the shape of the landscape will determine the
frequencies of the differentiated populations. However, how is the differentiation topology encoded?
DNA methylation (DNAme) may be a key contributor to shaping the differentiation topology. DNAme is the
most stably inherited epigenetic mark and therefore a strong candidate for encoding topological information.
Moreover, clonal hematopoiesis in humans, a state that constitutes a significant topological disruption, often
involves somatic mutations in modifiers of DNAme, including Dnmt3a, Tet2 and Idh2.
To study how DNA methylation reshapes the differentiation topology we preformed single-cell RNAseq of
>50,000 bone marrow progenitors from Tet2, Idh2, Dnmt3a mutated and wildtype mice. Tet2 knockout showed
a decrease in erythroid-committed progenitors, and increase in monocyte-committed progenitors. Notably, this
erythroid vs. monocyte fate-decision skew is caused by disruption in priming of early, uncommitted HSCs.
Moreover, Dnmt3a deletion, which causes the opposite effect on methylation (hypomethylation), also results in
opposite topological skews. This raises the question of what is the mechanistic link between stochastic
genome-wide DNAme changes and deterministic topology skews (e.g. monocyte vs. erythroid).
We hypothesize that genome-wide DNAme gain or loss may affect fate-decision through inherent biases in the
TF motif CpG enrichment. Indeed, our analysis across lineage-defining transcription factor (TF) binding motifs
uncovered that erythroid motifs show a marked enrichment in CpG content, compared with monocytic motifs.
To further explore this hypothesis, we will examine the impact of DNAme of TF motifs on HSC priming, using
two novel complementary approaches. First, ATAC-seq coupled with bisulfite sequencing will simultaneously
study the sites of open chromatin critical to priming together with their methylation state. Second, to directly link
DNAme and the transcriptional state of HSCs, we will apply joint single-cell bisulfite sequencing and RNAseq,
to evaluate, at the single cell level, the interplay between TF binding motif DNAme and priming.
To further define the impact of motif DNAme on TF binding, we will evaluate erythroid and monocytic TF
binding in relation to DNAme using ChIP-bisulfite-seq. To functionally examine the impact of diffuse binding
motif DNAme changes, we will apply epigenetic editing with guide RNAs targeting the binding motif itself.
Finally, to examine this phenomenon in human HSC differentiation, we will apply our novel single-cell muti-
omics platforms to jointly capture single-cell methylome, transcriptone and genotype. Thus, we will compare
within the same individual with clonal hematopoiesis, the differentiation topology of mutant vs. wildtype HSCs,
and define the role of DNAme in reshaping HSC differentiation in humans.
造血分化是一个随机的过程,可以确定性地传递多种不同的细胞类型
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Dan Landau其他文献
Dan Landau的其他文献
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{{ truncateString('Dan Landau', 18)}}的其他基金
Single-Cell Multi-omics to Link Clonal Mosaicism (CM) Genotypes with Chromatin, Epigenomic, Transcriptomic and Protein Phenotypes
单细胞多组学将克隆嵌合 (CM) 基因型与染色质、表观基因组、转录组和蛋白质表型联系起来
- 批准号:
10662879 - 财政年份:2023
- 资助金额:
$ 50.02万 - 项目类别:
Genome-wide mutational integration for ultra-sensitive plasma tumor burden monitoring in immunotherapy
全基因组突变整合用于免疫治疗中超灵敏血浆肿瘤负荷监测
- 批准号:
10344658 - 财政年份:2022
- 资助金额:
$ 50.02万 - 项目类别:
Expanding the GoT toolkit to link single-cell clonal genotypes with protein, transcriptomic, epigenomic and spatial phenotypes
扩展 GoT 工具包,将单细胞克隆基因型与蛋白质、转录组、表观基因组和空间表型联系起来
- 批准号:
10698112 - 财政年份:2022
- 资助金额:
$ 50.02万 - 项目类别:
Genome-wide mutational integration for ultra-sensitive plasma tumor burden monitoring in immunotherapy
全基因组突变整合用于免疫治疗中超灵敏血浆肿瘤负荷监测
- 批准号:
10631872 - 财政年份:2022
- 资助金额:
$ 50.02万 - 项目类别:
Center for Integrated Cellular Analysis - Alanna Fields
综合细胞分析中心 - Alanna Fields
- 批准号:
10839068 - 财政年份:2020
- 资助金额:
$ 50.02万 - 项目类别:
Center for Integrated Cellular Analysis - Lina Habba
综合细胞分析中心 - Lina Habba
- 批准号:
10839082 - 财政年份:2020
- 资助金额:
$ 50.02万 - 项目类别:
Center for Integrated Cellular Analysis - Salma Amin
综合细胞分析中心 - Salma Amin
- 批准号:
10839076 - 财政年份:2020
- 资助金额:
$ 50.02万 - 项目类别:
Center for Integrated Cellular Analysis - Stephanie Figueroa Reyes
综合细胞分析中心 - Stephanie Figueroa Reyes
- 批准号:
10839077 - 财政年份:2020
- 资助金额:
$ 50.02万 - 项目类别:
Center for Integrated Cellular Analysis - Andrew Brown
综合细胞分析中心 - 安德鲁·布朗
- 批准号:
10839072 - 财政年份:2020
- 资助金额:
$ 50.02万 - 项目类别:
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