Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1255157 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33317554_1.fastq.gz | Fastqsanger.gz | |||
| SRR33317554_2.fastq.gz | Fastqsanger.gz | |||
| SRR33317555_1.fastq.gz | Fastqsanger.gz | |||
| SRR33317555_2.fastq.gz | Fastqsanger.gz | |||
| SRR33317556_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 48 |
Similar Datasets
Project description:Tracing the evolution of single-cell 3D genomes in Kras-driven cancers
| PRJNA1256505 | ENA
Project description:Tracing the evolution of single-cell 3D genomes in Kras-driven cancers
| PRJNA1151718 | ENA
Project description:Tracing the evolution of single-cell 3D genomes in Kras-driven cancers [snRNA-seq]
| PRJNA1254700 | ENA
Project description:Although three-dimensional (3D) genome structures are altered in cancer cells, little is known about how these changes evolve and diversify during cancer progression. Leveraging genome-wide chromatin tracing to visualize 3D genome folding directly in tissues, we generated 3D genome cancer atlases of oncogenic Kras-driven murine lung and pancreatic adenocarcinoma. Our data reveal stereotypical, non-monotonic, and stage-specific alterations in 3D genome folding compaction, heterogeneity, and compartmentalization as cancers progress from normal to preinvasive and ultimately to invasive tumors, discovering a potential structural bottleneck in early tumor progression. Remarkably, 3D genome architectures distinguish morphologic cancer states in single cells, despite considerable cell-to-cell heterogeneity. Gene-level analyses of evolutionary changes in 3D genome compartmentalization not only showed that compartment-associated genes are more homogeneously regulated but also elucidated prognostic and dependency genes in lung adenocarcinoma and a previously unappreciated role for polycomb-group protein Rnf2 in 3D genome regulation. Our results demonstrate the utility of mapping the single-cell cancer 3D genome in tissues and illuminate its potential to identify new diagnostic, prognostic, and therapeutic biomarkers in cancer.
2025-05-02 | GSE295857 | GEO
Project description:Although three-dimensional (3D) genome structures are altered in cancer cells, little is known about how these changes evolve and diversify during cancer progression. Leveraging genome-wide chromatin tracing to visualize 3D genome folding directly in tissues, we generated 3D genome cancer atlases of oncogenic Kras-driven murine lung and pancreatic adenocarcinoma. Our data reveal stereotypical, non-monotonic, and stage-specific alterations in 3D genome folding compaction, heterogeneity, and compartmentalization as cancers progress from normal to preinvasive and ultimately to invasive tumors, discovering a potential structural bottleneck in early tumor progression. Remarkably, 3D genome architectures distinguish morphologic cancer states in single cells, despite considerable cell-to-cell heterogeneity. Gene-level analyses of evolutionary changes in 3D genome compartmentalization not only showed that compartment-associated genes are more homogeneously regulated but also elucidated prognostic and dependency genes in lung adenocarcinoma and a previously unappreciated role for polycomb-group protein Rnf2 in 3D genome regulation. Our results demonstrate the utility of mapping the single-cell cancer 3D genome in tissues and illuminate its potential to identify new diagnostic, prognostic, and therapeutic biomarkers in cancer.
2025-05-24 | GSE275588 | GEO
Project description:Although three-dimensional (3D) genome structures are altered in cancer cells, little is known about how these changes evolve and diversify during cancer progression. Leveraging genome-wide chromatin tracing to visualize 3D genome folding directly in tissues, we generated 3D genome cancer atlases of oncogenic Kras-driven murine lung and pancreatic adenocarcinoma. Our data reveal stereotypical, non-monotonic, and stage-specific alterations in 3D genome folding compaction, heterogeneity, and compartmentalization as cancers progress from normal to preinvasive and ultimately to invasive tumors, discovering a potential structural bottleneck in early tumor progression. Remarkably, 3D genome architectures distinguish morphologic cancer states in single cells, despite considerable cell-to-cell heterogeneity. Gene-level analyses of evolutionary changes in 3D genome compartmentalization not only showed that compartment-associated genes are more homogeneously regulated but also elucidated prognostic and dependency genes in lung adenocarcinoma and a previously unappreciated role for polycomb-group protein Rnf2 in 3D genome regulation. Our results demonstrate the utility of mapping the single-cell cancer 3D genome in tissues and illuminate its potential to identify new diagnostic, prognostic, and therapeutic biomarkers in cancer.
2025-05-24 | GSE295452 | GEO
Project description:Despite the high prevalence of cancers driven by KRAS mutations, to date only the G12C mutation has been clinically proven to be druggable via covalent targeting of the mutated cysteine amino acid residue. However, in many cancer indications other KRAS mutations, such as G12D and -V, are far more prevalent and small molecule concepts that can address a wider variety of oncogenic KRAS alleles are in high clinical demand. Here we show that a single small molecule degrader can be used to simultaneously and potently target multiple KRAS alleles, including those not yet tractable by inhibitors. Degradation of oncogenic KRAS results in profound and sustained pathway modulation across a broad range of KRAS mutant cell lines. As a result, KRAS degraders inhibit growth of the majority of cancer cell lines driven by KRAS mutations while sparing models without genetic KRAS aberrations. Finally, we demonstrate that pharmacological degradation of oncogenic KRAS leads to tumour regression in vivo. Together, these findings unveil a new path towards addressing KRAS driven cancers with small molecule degraders. This experiment corresponds to Figure 2g
2024-10-01 | PXD045460 | Pride
Project description:Despite the high prevalence of cancers driven by KRAS mutations, to date only the G12C mutation has been clinically proven to be druggable via covalent targeting of the mutated cysteine amino acid residue1. However, in many cancer indications other KRAS mutations, such as G12D and -V, are far more prevalent and small molecule concepts that can address a wider variety of oncogenic KRAS alleles are in high clinical demand2. Here we show that a single small molecule can be used to simultaneously and potently degrade 13 out of 17 of the most prevalent oncogenic KRAS alleles, including those not yet tractable by inhibitors. Compared with inhibition, degradation of oncogenic KRAS results in more profound and sustained pathway modulation across a broad range of KRAS mutant cell lines. As a result, KRAS degraders inhibit growth of the majority of cancer cell lines driven by KRAS mutations while sparing models without genetic KRAS aberrations. Finally, we demonstrate that pharmacological degradation of oncogenic KRAS leads to tumour regression in vivo. Together, these findings unveil a new path towards addressing KRAS driven cancers with small molecule degraders. This is the proteomics analysis of ACBI3 and compoun 8, its negative control.
2024-10-01 | PXD050650 | Pride
Project description:Despite the high prevalence of cancers driven by KRAS mutations, to date only the G12C mutation has been clinically proven to be druggable via covalent targeting of the mutated cysteine amino acid residue. However, in many cancer indications other KRAS mutations, such as G12D and -V, are far more prevalent and small molecule concepts that can address a wider variety of oncogenic KRAS alleles are in high clinical demand. Here we show that a single small molecule degrader can be used to simultaneously and potently target multiple KRAS alleles, including those not yet tractable by inhibitors. Degradation of oncogenic KRAS results in profound and sustained pathway modulation across a broad range of KRAS mutant cell lines. As a result, KRAS degraders inhibit growth of the majority of cancer cell lines driven by KRAS mutations while sparing models without genetic KRAS aberrations. Finally, we demonstrate that pharmacological degradation of oncogenic KRAS leads to tumour regression in vivo. Together, these findings unveil a new path towards addressing KRAS driven cancers with small molecule degraders. This experiment corresponds to Extended data Figure 3.f) graph in the manuscript
2024-10-02 | PXD045416 | Pride
Project description:NSD2, through generation of the epigenetic modification histone H3 di-methylated at lysine 36 (H3K36me2), is a candidate convergent downstream effector of oncogenic KRAS-signaling. However, whether NSD2 targeting represents a therapeutic vulnerability of KRAS-driven cancers is unknown. Here, we characterize a first-in-class, clinical grade small molecule catalyticNSD2inhibitor (NSD2i) series and find pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven pre-clinical cancer models. NSD2i inhibits NSD2 potently, with single digit nM IC50values, and shows high selectively for NSD2 versus NSD1, NSD3, and other similar enzymes. Structural analyses reveal the molecular basis of NSD2i specificity for NSD2, which includesS-adenosylmethionine (SAM)-competitive binding and catalytic disruption via a dual-channel obstruction mechanism. Proteo-epigenomic and single cell strategies in pancreatic ductal adenocarcinoma (PDAC) and lung adenocarcinoma (LUAD) samples support a model in which durable NSD2i exposure reverses H3K36me2-driven pathologic chromatin plasticity, re-establishing silencing at H3K27me3-legacy loci to curtail KRAS-regulated and oncogenic-associated gene expression programs. Accordingly, NSD2i treatment inhibits PDAC and LUAD cell viability and patient-derived xenograft tumor growth. Further, NSD2 inhibition, which is well toleratedin vivo, is equally effective as KRAS inhibition (sotorasib) treatment in prolonging survival in advanced stage autochthonous KRASG12C-driven PDAC and LUAD mouse tumor models. Moreover, in these models, NSD2 inhibition and sotorasib co-treatment synergize to confer sustained survival with extensive tumor nodule regression and elimination.Together, our work uncovers targeting of the NSD2-H3K36me2 axis as an actionable vulnerability in KRAS-driven cancers and provides a mechanistic rationale for testing NSD2i-KRAS inhibition combination therapies in the clinic.
2025-04-12 | GSE273490 | GEO