Ontology highlight
ABSTRACT:
PROVIDER: PRJNA486914 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7725560.fastq.gz | Fastqsanger.gz | |||
| SRR7725570.fastq.gz | Fastqsanger.gz | |||
| SRR7725580.fastq.gz | Fastqsanger.gz | |||
| SRR7725590.fastq.gz | Fastqsanger.gz | |||
| SRR7725600.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 60 |
Similar Datasets
Project description:Exploring the spatiotemporal genetic heterogeneity in metastatic lung adenocarcinoma using a nuclei flow-sorting approach
| PRJNA490199 | ENA
Project description:Intratumor mutational heterogeneity has been documented in primary non-small cell lung cancer. Here, we elucidate mechanisms of tumor evolution and heterogeneity in metastatic thoracic tumors (lung adenocarcinoma and thymic carcinoma) using whole-exome and transcriptome sequencing, SNP array for copy number alterations (CNA) and mass spectrometry-based quantitative proteomics of metastases obtained by rapid autopsy. APOBEC-mutagenesis, promoted by increased expression of APOBEC3 region transcripts and associated with a high-risk germline APOBEC3 variant, strongly correlated with mutational tumor heterogeneity. TP53 mutation status was associated with APOBEC hypermutator status. Interferon pathways were enriched in tumors with high APOBEC mutagenesis and IFN- induced expression of APOBEC3B in lung adenocarcinoma cells in culture suggesting a role for the immune microenvironment in the generation of mutational heterogeneity. CNA occurring late in tumor evolution correlated with downstream transcriptomic and proteomic heterogeneity, although global proteomic heterogeneity was significantly greater than transcriptomic and CNA heterogeneity. These results illustrate key mechanisms underlying multi-dimensional heterogeneity in metastatic thoracic tumors.
2019-05-07 | PXD012845 | Pride
Project description:Exploring differentially expressed miRNAs (DEmiRNAs) in plasma sample between lung adenocarcinoma patients and healthy people using a small RNA (sRNA) sequencing,results showed that we could used these DEmiRNAs identified could discriminate healthy peoples from lung adenocarcinoma patients. In present study, we applied an RNA sequencing (RNA-seq) approach to explore the differentially expressed miRNAs (DEmiRNAs) in plasma sample between 6 lung adenocarcinoma patients and 4 healthy people.
2021-03-09 | GSE151963 | GEO
Project description:Single cell studies have transformed our understanding of cellular heterogeneity in disease but the need for fresh starting material can be an obstacle, especially in the context of international multicenter studies and archived tissue. We developed a protocol to obtain high-quality cells and nuclei from dissected human skeletal muscle archived in the preservative Allprotect® Tissue Reagent. After fluorescent imaging microscopy confirmed intact nuclei, we performed four protocol variations that compared sequencing metrics between cells and nuclei enriched by either filtering or flow cytometry sorting. Cells and nuclei (either sorted or filtered) produced statistically identical transcriptional profiles and recapitulated 8 cell types present in skeletal muscle. Flow cytometry sorting successfully enriched for higher-quality cells and nuclei but resulted in an overall decrease in input material. Our protocol provides an important resource for obtaining high-quality single cell genomic material from archived tissue and to streamline global collaborative efforts.
2024-11-21 | GSE282362 | GEO
Project description:Variable tumor cellularity can limit sensitivity and precision in comparative genomics, because differences in tumor content can result in misclassifying truncal mutations as region-specific private mutations in stroma-rich regions, especially when studying tissue specimens of mediocre tumor cellularity such as LUADs. To address this issue, we refined a nuclei flow-sorting approach by sorting nuclei based on ploidy and the LUAD lineage marker thyroid transcription factor 1 (TTF-1) and applied this method to investigate genome-wide somatic copy number aberrations (SCNA) and mutations of 409 cancer genes in 39 tumor populations obtained from 16 primary tumors and 21 matched metastases. This approach increased the mean tumor purity from 54% (range: 7-89%) of unsorted material to 92% (range: 79-99%) after sorting. Despite this rise in tumor purity, we detected limited genetic heterogeneity between primary tumors and their metastases. In fact, 88% of SCNAs and 80% of mutations were propagated from primary tumors to metastases and low allele frequency mutations accounted for much of the mutational heterogeneity. Even though the presence of SCNAs indicated a history of chromosomal instability (CIN) in all tumors, metastases did not have more SCNAs than primary tumors. Moreover, tumors with biallelic TP53 or ATM mutations had high numbers of SCNAs, yet they were associated with a low interlesional genetic heterogeneity. The results of our study thus provide evidence that most macroevolutionary events occur in primary tumors before metastatic dissemination and advocate for a limited degree of CIN over time and space in this cohort of LUADs. Sampling of primary tumors thus may suffice to detect most mutations and SCNAs. In addition, metastases but not primary tumors had seeded additional metastases in three of four patients; this provides a genomic rational for surgical treatment of such oligometastatic LUADs.
2018-09-11 | GSE119763 | GEO
Project description:Lung cancer is the leading cause of cancer death both in men and women. Tumor heterogeneity is an impediment to targeted treatment of all cancers, including lung cancer. Here, we sought to characterize changes in tumor proteome and phosphoproteome by longitudinal, prospective collection of tumor tissue of an exceptional responder lung adenocarcinoma patient who survived with metastatic lung adenocarcinoma for more than seven years with HER2-directed therapy in combination with chemotherapy. We employed “Super-SILAC” and TMT labeling strategies to quantify the proteome and phosphoproteome of a lung metastatic site and ten different metastatic progressive lymph nodes collected across a span of seven years, including five lymph nodes procured at autopsy. We identified specific signaling networks enriched in lung compared to the lymph node metastatic sites. We correlated the changes in protein abundance with changes in copy number alteration (CNA) and transcript expression. To further interrogate the mass spectrometry data, patient-specific database was built incorporating all the somatic variants identified by whole genome sequencing (WGS) of genomic DNA from the lung, one lymph node metastatic site and blood. An extensive validation pipeline was built for confirmation of variant peptides. We validated 360 spectra corresponding to 55 germline and 6 somatic variant peptides. Targeted MRM assays demonstrated expression of two novel variant somatic peptides, CDK12 G879V and FASN-R1439Q, with expression in lung and lymph node metastatic sites, respectively. CDK12 G879V mutation likely results in a nonfunctional kinase and knockdown of CDK12 in lung adenocarcinoma cells increased chemotherapy sensitivity, explaining the complete resolution of the lung metastatic sites in this patient.
2019-01-07 | PXD010779 | Pride
Project description:The model is based on publication:
Mathematical analysis of gefitinib resistance of lung adenocarcinoma caused by MET amplification
Abstract:
Gefitinib, one of the tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR), is effective for treating lung adenocarcinoma harboring EGFR mutation; but later, most cases acquire a resistance to gefitinib. One of the mechanisms conferring gefitinib resistance to lung adenocarcinoma is the amplification of the MET gene, which is observed in 5–22% of gefitinib-resistant tumors. A previous study suggested that MET amplification could cause gefitinib resistance by driving ErbB3-dependent activation of the PI3K pathway. In this study, we built a mathematical model of gefitinib resistance caused by MET amplification using lung adenocarcinoma HCC827-GR (gefitinib resistant) cells. The molecular reactions involved in gefitinib resistance consisted of dimerization and phosphorylation of three molecules, EGFR, ErbB3, and MET were described by a series of ordinary differential equations. To perform a computer simulation, we quantified each molecule on the cell surface using flow cytometry and estimated unknown parameters by dimensional analysis. Our simulation showed that the number of active ErbB3 molecules is around a hundred-fold smaller than that of active MET molecules. Limited contribution of ErbB3 in gefitinib resistance by MET amplification is also demonstrated using HCC827-GR cells in culture experiments. Our mathematical model provides a quantitative understanding of the molecular reactions underlying drug resistance.
2024-09-02 | BIOMD0000000827 | BioModels
Project description:Here we use an improved single-cell chromatin profiling approach to determine epigenomic alterations across tumor progression in a mouse model of lung adenocarcinoma (LUAD). Specifically, we induced tumors by providing Adeno-SPC-Cre virus to mice intratracheally to induce tumors due to conditional expression the Kras G12D mutation and loss of p53 (termed the KPT model). Mice also expressed a tdTomato reporter allele allowing for the sorting of tumor cells in late-stages of tumor progression. Using a combinatorial indexing approach (sciATAC-seq), we identify an epigenomic continuum representing a loss of cellular identity and progression towards a metastatic state.
2020-07-23 | GSE145192 | GEO
Project description:Here we use an improved single-cell chromatin profiling approach to determine epigenomic alterations across tumor progression in a mouse model of lung adenocarcinoma (LUAD). Specifically, we induced tumors by providing Adeno-SPC-Cre virus to mice intratracheally to induce tumors due to conditional expression the Kras G12D mutation and loss of p53 (termed the KPT model). Mice also expressed a tdTomato reporter allele allowing for the sorting of tumor cells in late-stages of tumor progression. Using a combinatorial indexing approach (sciATAC-seq), we identify an epigenomic continuum representing a loss of cellular identity and progression towards a metastatic state.
2020-07-23 | GSE134812 | GEO
Project description:The following CGH experiments were conducted on four sectors (S1-S4) from a single primary ductal carcinoma tumor (T4) using the Sector-Ploidy-Profiling (SPP) Approach. SPP involves macro-dissecting the tumor, flow-sorting nuclei by differences in total genomic DNA content and profiling the genome of the tumor subpopulations.
2009-07-10 | GSE16602 | GEO