Dynamic interplay between structural variation and 3D chromosome organization in pancreatic cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE185069 | GEO | 2022/05/01
REPOSITORIES: GEO
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Project description:Relapsed pediatric B-cell acute lymphoblastic leukemia (B-ALL) remains one of the leading causes of cancer mortality in children. Up to 20% of children will suffer relapse and face a poor prognosis. Our recent work on the evolution of the epigenetic landscape from diagnosis to relapse demonstrates both substantial diversity in the chromatin landscape as well as shared relapse-specific superenhancer activation, highlighting the importance of chromatin changes in disease progression. However, there is a gap in our understanding of B-ALL progression through the lens of three-dimensional (3D) chromosome topology. To uncover 3D chromatin architecture-related mechanisms underlying drug resistance in B-ALL, we performed Hi-C, ATAC-seq, and RNA-seq on 12 matched primary pediatric leukemia specimens at diagnosis and relapse. Mapping of structural variations (SVs) using Hi-C data revealed previously unidentified stable, diagnosis-specific, and relapse-specific SVs providing further evidence for clonal evolution as a mechanism for drug resistance. Moreover, Hi-C analysis revealed genome wide chromatin remodeling specifically in terms of A/B compartments, TAD interactivity, and chromatin loops. Integration with ATAC-seq and RNA-seq datasets revealed strong correlation with both gene expression and chromatin accessibility. Additionally, we identified recurrent A/B compartments and TAD interactivity changes across the patient cohort for which we were able to demonstrate a crucial role in the clonal evolution of B-ALL. Shared changes in 3D genome organization drive the expression of genes/pathways previously implicated in drug resistance as well. Lastly, enrichment analysis revealed key upstream regulators of 3D genome architecture in B-ALL disease progression. These results extend the landscape of genetic alterations in relapsed B-ALL through the addition of the 3D genomic landscape and identify a breadth of novel therapeutic targets.
2024-05-01 | GSE222686 | GEO
Project description:Relapsed pediatric B-cell acute lymphoblastic leukemia (B-ALL) remains one of the leading causes of cancer mortality in children. Up to 20% of children will suffer relapse and face a poor prognosis. Our recent work on the evolution of the epigenetic landscape from diagnosis to relapse demonstrates both substantial diversity in the chromatin landscape as well as shared relapse-specific superenhancer activation, highlighting the importance of chromatin changes in disease progression. However, there is a gap in our understanding of B-ALL progression through the lens of three-dimensional (3D) chromosome topology. To uncover 3D chromatin architecture-related mechanisms underlying drug resistance in B-ALL, we performed Hi-C, ATAC-seq, and RNA-seq on 12 matched primary pediatric leukemia specimens at diagnosis and relapse. Mapping of structural variations (SVs) using Hi-C data revealed previously unidentified stable, diagnosis-specific, and relapse-specific SVs providing further evidence for clonal evolution as a mechanism for drug resistance. Moreover, Hi-C analysis revealed genome wide chromatin remodeling specifically in terms of A/B compartments, TAD interactivity, and chromatin loops. Integration with ATAC-seq and RNA-seq datasets revealed strong correlation with both gene expression and chromatin accessibility. Additionally, we identified recurrent A/B compartments and TAD interactivity changes across the patient cohort for which we were able to demonstrate a crucial role in the clonal evolution of B-ALL. Shared changes in 3D genome organization drive the expression of genes/pathways previously implicated in drug resistance as well. Lastly, enrichment analysis revealed key upstream regulators of 3D genome architecture in B-ALL disease progression. These results extend the landscape of genetic alterations in relapsed B-ALL through the addition of the 3D genomic landscape and identify a breadth of novel therapeutic targets.
2024-05-01 | GSE222675 | GEO
Project description:Relapsed pediatric B-cell acute lymphoblastic leukemia (B-ALL) remains one of the leading causes of cancer mortality in children. Up to 20% of children will suffer relapse and face a poor prognosis. Our recent work on the evolution of the epigenetic landscape from diagnosis to relapse demonstrates both substantial diversity in the chromatin landscape as well as shared relapse-specific superenhancer activation, highlighting the importance of chromatin changes in disease progression. However, there is a gap in our understanding of B-ALL progression through the lens of three-dimensional (3D) chromosome topology. To uncover 3D chromatin architecture-related mechanisms underlying drug resistance in B-ALL, we performed Hi-C, ATAC-seq, and RNA-seq on 12 matched primary pediatric leukemia specimens at diagnosis and relapse. Mapping of structural variations (SVs) using Hi-C data revealed previously unidentified stable, diagnosis-specific, and relapse-specific SVs providing further evidence for clonal evolution as a mechanism for drug resistance. Moreover, Hi-C analysis revealed genome wide chromatin remodeling specifically in terms of A/B compartments, TAD interactivity, and chromatin loops. Integration with ATAC-seq and RNA-seq datasets revealed strong correlation with both gene expression and chromatin accessibility. Additionally, we identified recurrent A/B compartments and TAD interactivity changes across the patient cohort for which we were able to demonstrate a crucial role in the clonal evolution of B-ALL. Shared changes in 3D genome organization drive the expression of genes/pathways previously implicated in drug resistance as well. Lastly, enrichment analysis revealed key upstream regulators of 3D genome architecture in B-ALL disease progression. These results extend the landscape of genetic alterations in relapsed B-ALL through the addition of the 3D genomic landscape and identify a breadth of novel therapeutic targets.
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Project description:Relapsed pediatric B-cell acute lymphoblastic leukemia (B-ALL) remains one of the leading causes of cancer mortality in children. Up to 20% of children will suffer relapse and face a poor prognosis. Our recent work on the evolution of the epigenetic landscape from diagnosis to relapse demonstrates both substantial diversity in the chromatin landscape as well as shared relapse-specific superenhancer activation, highlighting the importance of chromatin changes in disease progression. However, there is a gap in our understanding of B-ALL progression through the lens of three-dimensional (3D) chromosome topology. To uncover 3D chromatin architecture-related mechanisms underlying drug resistance in B-ALL, we performed Hi-C, ATAC-seq, and RNA-seq on 12 matched primary pediatric leukemia specimens at diagnosis and relapse. Mapping of structural variations (SVs) using Hi-C data revealed previously unidentified stable, diagnosis-specific, and relapse-specific SVs providing further evidence for clonal evolution as a mechanism for drug resistance. Moreover, Hi-C analysis revealed genome wide chromatin remodeling specifically in terms of A/B compartments, TAD interactivity, and chromatin loops. Integration with ATAC-seq and RNA-seq datasets revealed strong correlation with both gene expression and chromatin accessibility. Additionally, we identified recurrent A/B compartments and TAD interactivity changes across the patient cohort for which we were able to demonstrate a crucial role in the clonal evolution of B-ALL. Shared changes in 3D genome organization drive the expression of genes/pathways previously implicated in drug resistance as well. Lastly, enrichment analysis revealed key upstream regulators of 3D genome architecture in B-ALL disease progression. These results extend the landscape of genetic alterations in relapsed B-ALL through the addition of the 3D genomic landscape and identify a breadth of novel therapeutic targets.
2024-05-01 | GSE222679 | GEO
Project description:Structural variants (SVs) can result in changes in gene expression due to abnormal chromatin folding and consecutive disease. However, the prediction of such effects remains a challenge. Here we present a polymer physics based approach (PRISMR) to model chromatin folding and to predict enhancer-promoter contacts. Using the Epha4 locus as a model, the effects of pathogenic SVs were predicted in-silico and compared to published Hi-C and capture Hi-C data generated from mouse limb buds and patient-derived fibroblasts. PRISMR deconvolutes the folding complexity of the studied locus, and identifies SV-induced alterations of 3D genome organization in the homozygous as well as the heterozygous state. Our method accurately predicts the specific sites of ectopic chromatin contacts that produce extensive rewiring of regulatory interactions, causing disease by gene misexpression. PRISMR can be used to predict interactions in silico thereby providing a tool for analyzing the disease causing potential of SVs.
2018-02-12 | GSE92290 | GEO
Project description:Structural variants (SVs) can result in changes in gene expression due to abnormal chromatin folding and consecutive disease. However, the prediction of such effects remains a challenge. Here we present a polymer physics based approach (PRISMR) to model chromatin folding and to predict enhancer-promoter contacts. Using the Epha4 locus as a model, the effects of pathogenic SVs were predicted in-silico and compared to published Hi-C and capture Hi-C data generated from mouse limb buds and patient-derived fibroblasts. PRISMR deconvolutes the folding complexity of the studied locus, and identifies SV-induced alterations of 3D genome organization in the homozygous as well as the heterozygous state. Our method accurately predicts the specific sites of ectopic chromatin contacts that produce extensive rewiring of regulatory interactions, causing disease by gene misexpression. PRISMR can be used to predict interactions in silico thereby providing a tool for analyzing the disease causing potential of SVs.
2018-02-12 | GSE92291 | GEO
Project description:Purpose: we utilized a mouse model that permanently labels neurons activated throughout a specific experience to decipher the interplay between chromatin accessibility, 3D-chromatin architecture and transcriptional changes across different memory phases. Non activated (basal) and activated neurons during memory encoding (early), consolidation (late) and recall (reactivated) were sorted and subjected to nuclear RNA sequencing (nRNA-seq) to determine gene expression, ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) to assess chromatin accessibility, chromosome conformation capture (Hi-C) to identify global 3D -genome architecture and promoter capture Hi-C to identify the long range promoter-enhancer interactions. Results: our data demonstrates that the initial phase of memory formation alters the chromatin accessibility landscape of activated neurons, with long lasting stable changes occurring predominantly within enhancer regions. Moreover, many of these enhancers did not return to their baseline state after stimulation ceased, but remain accessible and stable throughout all memory phases.
2020-06-23 | GSE152954 | GEO
Project description:Purpose: we utilized a mouse model that permanently labels neurons activated throughout a specific experience to decipher the interplay between chromatin accessibility, 3D-chromatin architecture and transcriptional changes across different memory phases. Non activated (basal) and activated neurons during memory encoding (early), consolidation (late) and recall (reactivated) were sorted and subjected to nuclear RNA sequencing (nRNA-seq) to determine gene expression, ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) to assess chromatin accessibility, chromosome conformation capture (Hi-C) to identify global 3D -genome architecture and promoter capture Hi-C to identify the long range promoter-enhancer interactions. Results: We have found that during each memory phase, the same promoters interact more frequently with a distinct subset of enhancers (i.e. unique). We also identified a smaller subset of interactions in which the promoters were interacting with the same enhancers across different memory phases (i.e. common). Furthermore, Reactivated neurons presented significantly stronger interaction scores (as calculated by CHiCAGO). Hence, although the number of unique interactions was similar across early, late and reactivated states, stronger interaction scores indicate that specific promoter- enhancer interactions occur more frequently during memory recall.
2020-06-23 | GSE152955 | GEO
Project description:Purpose: we utilized a mouse model that permanently labels neurons activated throughout a specific experience to decipher the interplay between chromatin accessibility, 3D-chromatin architecture and transcriptional changes across different memory phases. Non activated (basal) and activated neurons during memory encoding (early), consolidation (late) and recall (reactivated) were sorted and subjected to nuclear RNA sequencing (nRNA-seq) to determine gene expression, ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) to assess chromatin accessibility, chromosome conformation capture (Hi-C) to identify global 3D -genome architecture and promoter capture Hi-C to identify the long range promoter-enhancer interactions. Results: Our differentially expressed gene (DEG) analysis revealed relatively low amount of changes in the early phase, when compared to basal-state neurons (Basal vs. Early). In contrast, neurons from late phase presented higher numbers of DEGs despite there being more similarity in chromatin accessibility at these time points (Early vs. Late; Late vs. Reactivated). Our studies illuminate for the first time the unique transcriptional landscape of reactivated engram cells where we observed up-regulation of genes involved in mRNA transport and local protein translation in synaptic compartments. These changes corresponded to morphological and functional changes in those neurons.
2020-06-23 | GSE152775 | GEO
Project description:3D Chromosome Structure Can Reveal Stem Cell Signatures (Hi-C)
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