Similar Datasets
Project description:scRNA-seq analysis evaluating transcriptional heterogeneity in mouse pre-cancer and pancreas tumors in an effort to model the progression of pancreas tumors. Single cells were captured at t=0 (before tamoxifen induction), t=5 (5 weeks after tamoxifen induction) and t=12 (12 weeks after tamoxifen induction).
2023-03-01 | GSE182396 | GEO
Project description:Identifying the cells from which cancers arise, and the paths they take towards malignancy is critical for understanding the molecular basis of tumor initiation and progression. To determine whether stem and progenitor cells can serve as cells of origin for cancer, we created a new Msi2-CreERT2 knock-in strain. When crossed to a conditional CAG-LSL-MycT58A model, Msi2-CreERT2 mice developed multiple pancreatic cancer subtypes: pancreatic ductal adenocarcinoma (PDAC), adenosquamous carcinoma of the pancreas (ASCP), acinar cell carcinoma (ACC), and rare anaplastic tumors. Combining single-cell genomics with computational analysis of developmental states and lineage trajectories, we demonstrate that oncogenic MYC preferentially triggers the transformation of the most immature subset of Msi2+ cells, leading to the rise of a common pool of pre-cancer cells with multi-lineage properties. These pre-cancer cells subsequently diverge to distinct pancreatic cancer subtypes by activation of distinct transcriptional programs and large-scale genomic changes. Importantly, the enforced expression of specific molecular signals can redirect cells toward specific subtypes. This study shows that multiple pancreatic cancer subtypes can arise from a common pool of Msi2+ cells and provides a powerful framework to understand and control the programs that shape divergent fates in pancreatic cancer.
2023-08-22 | GSE241231 | GEO
Project description:Identifying the cells from which cancers arise, and the paths they take towards malignancy is critical for understanding the molecular basis of tumor initiation and progression. To determine whether stem and progenitor cells can serve as cells of origin for cancer, we created a new Msi2-CreERT2 knock-in strain. When crossed to a conditional CAG-LSL-MycT58A model, Msi2-CreERT2 mice developed multiple pancreatic cancer subtypes: pancreatic ductal adenocarcinoma (PDAC), adenosquamous carcinoma of the pancreas (ASCP), acinar cell carcinoma (ACC), and rare anaplastic tumors. Combining single-cell genomics with computational analysis of developmental states and lineage trajectories, we demonstrate that oncogenic MYC preferentially triggers the transformation of the most immature subset of Msi2+ cells, leading to the rise of a common pool of pre-cancer cells with multi-lineage properties. These pre-cancer cells subsequently diverge to distinct pancreatic cancer subtypes by activation of distinct transcriptional programs and large-scale genomic changes. Importantly, the enforced expression of specific molecular signals can redirect cells toward specific subtypes. This study shows that multiple pancreatic cancer subtypes can arise from a common pool of Msi2+ cells and provides a powerful framework to understand and control the programs that shape divergent fates in pancreatic cancer.
2023-08-21 | GSE241226 | GEO
Project description:We applied DNA content flow cytometry to a series of adenosquamous cancer of the pancreas (ASCP) tumor samples and patient derived xenografts (PDXs). We interrogated purified sorted tumor fractions from each sample with whole genome copy number variant (CNV) and whole exome sequencing (WES) analyses. These identified a variety of somatic genomic lesions targeting chromatin regulators in ASCP genomes that were superimposed on well characterized genomic lesions including mutations in KRAS and TP53, homozygous deletion of CDKN2A, and amplification of c-MYC, that are common in PDACs. Furthermore, a comparison of ATAC-seq profiles of ASCP and pancreatic ductal adenocarcinoma (PDAC) genomes using flow sorted PDX models distinguished genes with accessible chromatin in ASCP genomes including the lysine methyltransferase SMYD2, the pancreatic cancer stem cell driver RORγ, and a FGFR1-ERLIN2 fusion associated with focal CNVs in both genes. Organoids derived from these models were used to screen compounds of interest. Notably a FGFR inhibitor had significant activity against the FGFR1-ERLIN2 fusion positive PDX.
2020-01-14 | GSE143563 | GEO
Project description:We applied DNA content flow cytometry to a series of adenosquamous cancer of the pancreas (ASCP) tumor samples and patient derived xenografts (PDXs). We interrogated purified sorted tumor fractions from each sample with whole genome copy number variant (CNV) and whole exome sequencing (WES) analyses. These identified a variety of somatic genomic lesions targeting chromatin regulators in ASCP genomes that were superimposed on well characterized genomic lesions including mutations in KRAS and TP53, homozygous deletion of CDKN2A, and amplification of c-MYC, that are common in PDACs. Furthermore, a comparison of ATAC-seq profiles of ASCP and pancreatic ductal adenocarcinoma (PDAC) genomes using flow sorted PDX models distinguished genes with accessible chromatin in ASCP genomes including the lysine methyltransferase SMYD2, the pancreatic cancer stem cell driver RORγ, and a FGFR1-ERLIN2 fusion associated with focal CNVs in both genes. Organoids derived from these models were used to screen compounds of interest. Notably a FGFR inhibitor had significant activity against the FGFR1-ERLIN2 fusion positive PDX.
2020-01-08 | GSE143256 | GEO
Project description:RNA-seq comparative analysis of Msi2-MycT58A Mouse Pancreas Tumors
2023-03-01 | GSE181166 | GEO
Project description:We used scATAC-Seq to examine BCC immune cell heterogeneity.
2023-03-29 | GSE204863 | GEO
Project description:Cell-to-cell variation is a universal feature of life that impacts a wide range of biological phenomena, from developmental plasticity to tumor heterogeneity. While recent advances have improved our ability to document cellular phenotypic variation the fundamental mechanisms that generate variability from identical DNA sequences remain elusive. Here we reveal the landscape and principles of cellular DNA regulatory variation by developing a robust method for mapping the accessible genome of individual cells via assay of transposase accessible chromatin sequencing (ATAC-seq). Single-cell ATAC-seq (scATAC-seq) maps from hundreds of single-cells in aggregate closely resemble accessibility profiles from tens of millions of cells and provides insights into cell-to-cell variation. Accessibility variance is systematically associated with specific trans-factors and cis-elements, and we discover combinations of trans-factors associated with either induction or suppression of cell-to-cell variability. We further identify sets of trans-factors associated with cell-type specific accessibility variance across 6 cell types. Targeted perturbations of cell cycle or transcription factor signaling evoke stimulus-specific changes in this observed variability. The pattern of accessibility variation in cis across the genome recapitulates chromosome topological domains de novo, linking single-cell accessibility variation to three-dimensional genome organization. All together, single-cell analysis of DNA accessibility provides new insight into cellular variation of the “regulome.” Profiles of single cell epigenomes, assayed using scATAC-seq, across 8 cell types and 4 targeted cell manipulations. The complete data set contains a total of 1,632 assayed wells.
2015-06-17 | E-GEOD-65360 | biostudies-arrayexpress
Project description:Plasmodium-specific CD4+ T cells from mice infected with Plasmodium chabaudi chabaudi AS parasites were recovered at Days 0, 4, 7, and 32 to undergo processing and to generate scATAC-seq dataset. At Day 7, CXCR5+ and CXCR6+ cells were recovered separately. At Day 32, mice were administered with either saline or artesunate (intermittent artesunate therapy - IAT). scATAC-seq dataset was analysed to investigate epigenomic landscapes of CD4+ T cells from effector to memory states.
2020-10-14 | E-MTAB-9402 | biostudies-arrayexpress
Project description:Single cell sequencing technology has been widely used for understanding the heterogeneity of complex tissue and for identifying novel cell types or cell states. Previous efforts of single cell profiling are mostly performed by measuring transcriptomes using single cell RNA sequencing (scRNA-seq). scRNA-seq is relatively well developed and around 500 analysis tools are currently available for performing different tasks. In the past five years, assays for profiling the single cell chromatin accessibility landscape have emerged and provide extra information about gene regulation at the epigenetic level. Due to its simplicity and sensitivity, single cell Assays for Transposase-Accessible Chromatin using sequencing (scATAC-seq) is widely used to obtain chromatin accessibility. This data will be used to comprehensively evaluate scATAC-seq data analysis tools and gaps in analysis workflows together with publicly available bulk ATAC-Seq and scATAC-seq data using optimised universal evaluation metrics.
2024-01-10 | GSE223319 | GEO