Search Results - EGA European Genome-Phenome Archive

ATAC-Seq of healthy and IBD blood samples

PBMCs from blood samples of 9 age- and gender-matched healthy subjects and 25 IBD patients were isolated through a Ficoll density gradient and used to isolate live CD4 T cells through a magnetic cell isolation kit (Miltenyi Biotec). Twelve thousand live CD4 T cells were then used to prepare ATAC-Seq libraries. Briefly, crude nuclei of live CD4+ T cells were treated with Tagment DNA buffer and Tagment DNA Enzyme (Nextera DNA Library Prep Kit, Illumina), and then the DNA was purified by MinElute PCR Purification Kit (Qiagen). Transposed DNA fragments were amplified using specific adapters followed by purification with MinElute PCR Purification Kit (Qiagen). Fragments from 240-360pb were selected in the PippinHT system (Sage Science). The quality of the library and its DNA concentration were assessed by Bioanalyzer instruments (Agilent Technologies) and ultimately submitted for sequencing using Illumina HiSeq 2500 sequencer, V4 chemistry.

Study EGAS00001007343

Organoid drug profiling identifies methotrexate as a therapy for SCCOHT, a rare pediatric cancer

Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare and lethal tumor in adolescent and young adult patients. Currently, there is no standard-of-care treatment for these patients. Reliable models that represent this disease and can be used for translational research are scarce. To model SCCOHTs, we have established eight patient-derived tumoroid lines from tumor lesions of three patients with SCCOHT. The tumoroids recapitulate genomic and transcriptomic characteristics of the corresponding patient tumors and capture intrapatient tumor heterogeneity. Organoid drug profiling using a library of 153 clinical compounds identified methotrexate as an effective and selective drug against SCCOHTs with a clinically relevant IC50 of 35 nmol/L. RNA sequencing demonstrated that methotrexate induced TP53 pathway activation and apoptosis. These data underscore that organoid technology can support the design of therapeutic strategies for rare cancers.

Study EGAS00001007911

ProstOmics: spatial and bulk multi-omics of prostate cancer

In this ERC-funded ProstOmics project we have used spatial and bulk multi-omics on fresh frozen prostate cancer samples to investigate cancer biology and find for biomarkers to improve patient treatment. All tissue material were collected from prostate cancer patients undergoing radical prostatectomy who had not received any prior cancer-specific treatment.Of the 498 prostate tissue samples (114 patients) included in our project, 176 samples (N=37 patients) have been analyzed with bulk transcriptomics (RNA-seq). Some of these 176 samples were also analyzed with spatial transcriptomics (n=32, N=8, Visium 10x RNA-seq) and DNA methylomics (n=96, N=24, array). All datasets include metadata for histopathological evaluation. Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.

Study EGAS50000000413

RNA-seq data for study 'Smoking-dependent expression alterations in nasal epithelium reveal immune impairment linked to germline variation and lung cancer risk.'

RNA-seq data from nasal and bronchial tissues in 649 subjects, many with lung cancer. Lung cancer is the leading cause of cancer-related death in the world. In contrast to many other cancers, a direct connection to lifestyle risk in the form of cigarette smoke has long been established. More than 50% of all smoking-related lung cancers occur in former smokers, often many years after smoking cessation. Despite extensive research, the molecular processes for persistent lung cancer risk are unclear. CT screening of current and former smokers has been shown to reduce lung cancer mortality by up to 26%. To examine whether clinical risk stratification can be improved upon by the addition of genetic data, and to explore the mechanisms of the persisting risk in former smokers, we have analyzed transcriptomic data from accessible airway tissues of 487 subjects. We developed a model to assess smoking associated gene expression changes and their reversibility after smoking is stopped, in both healthy subjects and clinic patients. We find persistent smoking associated immune alterations to be a hallmark of the clinic patients. Integrating previous GWAS data using a transcriptional network approach, we demonstrate that the same immune and interferon related pathways are strongly enriched for genes linked to known genetic risk factors, demonstrating a causal relationship between immune alteration and lung cancer risk. Finally, we used accessible airway transcriptomic data to derive a non-invasive lung cancer risk classifier. Our results provide initial evidence for germline-mediated personalised smoke injury response and risk in the general population, with potential implications for managing long-term lung cancer incidence and mortality.

Dataset EGAD50000000333

13313 results for ""pdc"+"heritage+language"+census+study"

in 24.26 milliseconds.

ATAC-Seq of healthy and IBD blood samples

Organoid drug profiling identifies methotrexate as a therapy for SCCOHT, a rare pediatric cancer

ProstOmics: spatial and bulk multi-omics of prostate cancer

RNA-seq data for study 'Smoking-dependent expression alterations in nasal epithelium reveal immune impairment linked to germline variation and lung cancer risk.'

Genome and transcriptome sequence data from a metastatic large cell neuroendocrine tumour of the lung patient

Genome and transcriptome sequence data from a metastatic colorectal cancer patient

Genome and transcriptome sequence data from a metastatic breast cancer patient

Genome and transcriptome sequence data from a metastatic breast cancer patient

Genome and transcriptome sequence data from a serous carcinoma of fallopian tube patient

Genome and transcriptome sequence data from a metastatic adult granulosa cell tumour patient

Genome and transcriptome sequence data from a metastatic breast cancer patient

Genome and transcriptome sequence data from a metastatic adenocarcinoma of the lung patient

Genome and transcriptome sequence data from a metastatic medullary thyroid cancer patient

Genome and transcriptome sequence data from a metastatic colorectal cancer patient

Genome and transcriptome sequence data from a metastatic adenocarcinoma presumably of ovarian origin patient

Genome and transcriptome sequence data from a metastatic breast cancer patient

Genome and transcriptome sequence data from a metastatic uterine leiomyosarcoma patient

Genome and transcriptome sequence data from a squamous cell carcinoma of the lung patient

Genome and transcriptome sequence data from a metastatic adenocarcinoma of the rectum patient

Genome and transcriptome sequence data from a metastatic gastric cancer patient

Genome and transcriptome sequence data from a metastatic colon cancer patient

Genome and transcriptome sequence data from a metastatic breast cancer patient

Genome and transcriptome sequence data from a metastatic ductal carcinoma of the breast patient

Genome and transcriptome sequence data from a metastatic breast cancer patient

Genome and transcriptome sequence data from a metastatic breast cancer patient