12405 results for ""non-traditional+communal+storytelling+approach"+novel+segment+noted+in+critical+commentary"

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• The Diabetes Heart Study (DHS)

  The Diabetes Heart Study is a family based study enriched for type 2 diabetes (T2D). The cohort included 1220 self-reported European Americans from 475 families (Bowden et al 2010 Review of Diabetic Studies 7:188-201: PMID: 21409311; Bowden et al 2008 Annals of Human Genetics 72:598-601 PMID: 18460048) and included siblings concordant for T2D; where possible unaffected siblings were also recruited. The cohort was recruited between 1998 and 2006. Participants were extensively phenotyped for measures of subclinical CVD and other known CVD risk factors. Primary outcomes were quantified burden of vascular calcified plaque in the coronary artery, carotid artery and abdominal aorta all determined from non-contrast computed tomography scans.

  Study phs001012

• Genomic Analysis of Diffuse Large B Cell Lymphoma

  Tumors from 383 newly diagnosed diffuse large B cell lymphoma were included in this study. Tumor DNA was extracted from formalin-fixed, paraffin embedded (FFPE) tissue sections, germline DNA was extracted from blood, and whole exome sequencing (WES) of all samples (n=340 tumor normal pairs) was performed using the Agilent SureSelect XT AllExon v5 + UTR kit and sequencing was carried out on an Illumina NovaSeq, 100 x 2 paired end reads. Tumor RNA (n=321) was extracted from formalin-fixed, paraffin embedded (FFPE) tissue sections and RNA sequencing was performed using the Illumina TruSeq RNA Exome Kit (Illumina) for library preparation, sequencing platform HiSeq 4000, 100 x 2 paired end reads.

  Study phs003634

• Tumor Profiler Melanoma Study

  The Tumor Profiler Study is an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease. Technologies used are digital pathology, targeted NGS, single-cell RNA, single-cell DNA, bulk RNA, bulk proteotyping, single-cell CyTOF, imaging mass cytometry, pharmacoscopy, 4i Drug Response Profiling, and cell-free DNA. These technologies were applied to 240 tumor samples collected over 3 years across three cancer indications: metastatic melanoma, metastatic epithelial ovarian cancer, and acute myeloid leukemia (AML). Here, we publish the scRNA, scDNA, and bkRNA data of the melanoma cohort.

  Study EGAS50000000599

• Cancer-Restricted Cryptic Antigens Are Targets for T Cell Recognition

  Subjects included patients with pancreatic cancer, at least 18 years of age, who were recruited from outpatient clinics and inpatient units at Dana-Farber Cancer Institute and Brigham and Women's Hospital.Bulk and single-cell transcriptomic profiling of human pancreatic cancer patient samples (direct from tumor or profiling of patient-derived organoids) was performed. Patient-derived pancreatic cancer organoids were profiled in the presence or absence of interferon-gamma stimulation. Healthy-donor CD8 T lymphocytes were ex vivo primed and expanded with candidate non-canonical (cryptic) peptide antigens. Single-cell transcriptomic profiling with paired T cell receptor (TCR) sequencing and molecularly-barcoded HLA tetramers enabled deconvolution and identification of cryptic antigen-reactive TCRs.

  Study phs003887

• Transcriptomics of PPD and Control LCLs Exposed to Steroid Hormones

  Lymphoblastoid cell lines (LCLs) were derived from women with (n=11) and without (n=9) past postpartum depression (PPD) and compared transcriptomically in two studies. Data provided represents: 1) normalized RNA-seq expression (CPM) or 2) Ampliseq-RNA Expression (CPM).The two studies are described below.1) The first examined estradiol (E2) and progesterone (P) hormone conditions mimicking pregnancy and parturition: supraphysiologic E2+P-addback; supraphysiologic E2+P-withdrawal; and no added E2+P (Baseline). RNA-sequencing identified unique differentially expressed genes (DEGs, p2) The second exposed control and PPD LCLs to ALLO or DMSO vehicle for 60 hours and used Ampliseq to detect differentially expressed genes (DEGs, pnominal

  Study phs003820

• The genetic footprint of the European Roma diaspora: Evidence from the Balkans to the Iberian Peninsula

  Our genomic approach focuses on: (i) the internal genetic structure of Roma and its correlation with geography; (ii) the relationships between Iberian Roma and other non-Roma populations to explore possible contacts during the period of population upheaval following the Roma’s arrival on the Iberian Peninsula; (iii) estimation of the admixture events in the Iberian Roma before and after their arrival to the Iberian Peninsula; and (iv) the assessment of endogamy patterns and assortative mating of the European Roma. Our study provides a detailed analysis of the intricate population history of the Iberian Roma, offering insights from both micro-geographical and large-scale perspectives on the population history of European Roma.

  Study EGAS50000000746

• Tumor Profiler Ovarian Study

  The Tumor Profiler Study is an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease. Technologies used are digital pathology, targeted NGS, single-cell RNA, single-cell DNA, bulk RNA, bulk proteotyping, single-cell CyTOF, imaging mass cytometry, pharmacoscopy, 4i Drug Response Profiling, and cell-free DNA. These technologies were applied to 240 tumor samples collected over 3 years across three cancer indications: metastatic melanoma, metastatic epithelial ovarian cancer, and acute myeloid leukemia (AML). Here, we publish the scRNA and scDNA data of the ovarian cancer cohort.

  Study EGAS50000000885

• MATISSE Whole-exome sequencing data

  Sample availability: WES was performed on 41 available baseline tumor and blood samples (22 CCRs/MPRs, 5 PPRs, 14 CRN/NPRs). Tumor DNA was extracted from formalin-fixed paraffin-embedded (FFPE) primary tumor and lymph node metastasis sections containing at least 10% viable tumor cells present in the sample. A pathologist (LS) scored the tumor percentage and indicated the most tumor-dense region on a hematoxylin and eosin (H&E) stain slide for subsequent DNA isolation. According to the manufacturer's protocol, five to 10 FFPE slides (10 µm) were used for DNA isolation using the AllPrep DNA FFPE isolation kit (Qiagen, 80234) and the QIAcube. Germline DNA was isolated from baseline PBMCs using the AllPrep DNA / RNA / miRNA Universal isolation kit (Qiagen, 80224) and the QIAcube, according to the manufacturer’s protocol. Genetic Diagnostics and Sequencing Services (CeGaT) performed whole-exome sequencing sequencing in Germany. Data processing: Demultiplexing of the sequencing reads was performed with Illumina bcl2fastq (v2.20). Adapters of the reads were trimmed with Skewer (v0.2.2), without quality trimming. Sequencing reads were aligned with BWA (v0.7.17) to the human reference genome GRCh38 (Ensemble, v105). Duplicated reads were marked using Picard (v2.25.0) MarkDuplicates, after which quality scores were recalibrated using GATK4 (4.2.2.0) BaseRecalibrator. FastQC (v0.12.1), MultiQC (v1.14), Mosdepth (v0.3.3) and NGScheckmate (v1.0.1) were used for assessing data quality, on FASTQ files and intermediate processing steps.

  Dataset EGAD50000001469

• Biomarker Research for Anti EGFR Monoclonal Antibodies by Comprehensive Cancer Genomics

  The purpose of this study is to explore new biomarkers for predicting the effectiveness of an anti-epidermal growth factor receptor (anti-EGFR) antibody in patients with advanced colorectal cancer. The investigation involves analyzing the entire exome, conducting a genome-wide association study (GWAS), and analyzing copy number variations (CNVs) using single nucleotide polymorphism (SNP) arrays. Genetic material from both cancerous and non-cancerous tissues, as well as blood samples from patients who received the antibody treatment, will be used. The goal is to identify genetic mutations and SNPs associated with treatment efficacy and adverse events, and to assess the correlation between their presence and treatment effectiveness using statistical methods.

  Study JGAS000779

• Integrated Single-Nucleus and Spatial Transcriptomics Elucidate Heterogeneity and Hypoxia-Driven Organization of Supratentorial Ependymoma

  Supratentorial ependymomas are often life-threatening brain tumours that are characterised by significant molecular heterogeneity. In this study, single-nucleus (n = 63) and spatial transcriptomics (n = 30) was performed to delineate the cellular and spatial landscape of supratentorial ependymoma. This study characterises the transcriptional consensus programs of this entity and connects them to clinical outcome. Two previously undescribed programs – associated with the remodelling of the extracellular matrix and the ZFTA fusion identity – are shown to be related to highly unfavourable outcome and to be exclusive to ZFTA fusion-positive tumours. Also, Hypoxia is proposed as the potential driver of spatial organisation, which may affect treatment success.

  Study EGAS50000001318

• Insights into BRCA1 and TP53 associated breast cancer development from integrated whole genome analysis of mouse model mammary tumors

  Germline mutations in BRCA1 are a leading cause of hereditary breast cancer. We generated Brca1;Trp53 double conditional knockout (CKO) and Trp53 single CKO mouse models, both with either one or two copies of Trp53 deleted by Cre. We used whole-genome sequencing and optical genome mapping to interrogate the genomes of the resulting mammary tumors. Our comprehensive genomic analyses show that the Brca1;Trp53-CKO tumors recapitulate major genomic features of the human BRCA1 breast samples indicative of conserved fundamental mutational processes. This study also provides new insights into the genetic mechanisms of tumor development with potential implications for the treatment of BRCA1 cancers.

  Study EGAS50000001402

• Transcriptomic profiling of proximal and distal regions of human long head biceps tendon

  Tendinopathy is a prevalent musculoskeletal disorder marked by extracellular matrix disorganization, collagen remodeling, vascular ingrowth, and pain, yet its underlying molecular mechanisms remain insufficiently defined. The long head of the biceps tendon (LHBT) is particularly prone to mechanical overload and early degenerative changes, making it a relevant model for studying tendon pathology. In this study, we aimed to characterize region-specific gene expression changes along the LHBT to better understand the molecular basis of degeneration. We collected paired proximal and distal LHBT tissue from patients undergoing rotator cuff repair surgery and performed bulk RNA sequencing. This approach enables the identification of degeneration-associated transcriptional signatures while minimizing inter-patient variability.

  Study EGAS50000001454

• Pilot study of adoptive cell therapy using cultured tumor infiltrating lymphocytes for Japanese melanoma patients refractory to immune-checkpoint inhibitors

  To evaluate feasibility of the adoptive cell therapy (ACT) using tumor infiltrating lymphocytes (TIL) in Japanese melanoma patients who failed the immune checkpoint inhibitors (ICIs) and investigate the immune components and immunologic milieu within the pretreatment tumor and expanded TILs from there.?Three patients whose clinical subtype were mucosal, superficial spreading, and acral melanoma were treated and the all completed the TIL-ACT. Clinical response were one short-partial response, one relatively long-stable disease, and one progression disease. Whole-exome and transcriptional analysis of pretreatment tumor revealed the various?immunophenotypes including tumor mutation burden with immunogenic neoantigens and upregulation of immunosuppressive gene signatures.

  Study JGAS000249

• DNA_repair_in_BLM_deficient_hiPSCs

  We are aiming to investigate repair of a double strand break (DSB) within the genome in the presence and absence of the BLOOM protein. Zinc Finger Nucleases introduce DSBs at specified loci within the genome. Using sequencing we will assess the size of the deletion following repair. Protocol1. Transfect normal and BLOOM deficient human iPS cells with ZFNs, using AMXA2. Harvest cells after 5 days3. Perform column extraction of DNA4. PCR-amplify the ZFN region 5. Sequence and analyse repair of the DSBThis data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000740

• STREP GENE: Genetics and Severe Streptococcal Infections

  This study investigated host genetic susceptibility to invasive group A streptococcal disease in the UK. Cases were either survivors recruited retrospectively through a patient group or identified from the a tissue bank at Imperial College London. Those recruited through the patient group had survived an episode of invasive GAS disease at a UK hospital since 1980 with microbiological confirmation obtained either through Public Health England or from the treating hospital. Those identified from the tissue bank had been diagnosed with invasive GAS disease at the Hammersmith Hospital, London, UK, since 2006. All cases aged less than 65 years without long-term medical conditions genome-wide genotyped using either the Illumina HumanCore or the Global Screening Array platform.

  Study EGAS00001003421

• Exome sequencing to identify predisposition to Wilms tumour

  To identify new Wilms tumor predisposition genes, we performed whole-exome paired-end sequencing of lymphocyte DNA from 12 affected individuals from six unrelated, non-syndromic Wilms tumor families in which known causes had been excluded.We prepared DNA libraries from 1.5 mg blood-derived genomic DNA using the Paired-End DNA Sample Preparation Kit (Ilumina). DNAwas fragmented using Covaris technology and the libraries were prepared without gel size selection. We performed target enrichment using the TruSeq Exome Enrichment Kit (Illumina) by targeting 62 mb of the human genome. The captured DNA libraries were PCR amplified using the supplied paired-end PCR primers.Sequencing was performed with an Illumina HiSeq2000 generating 2?101 bp reads.

  Study EGAS00001000904

• Genomic profiling of ovarian adult type granulosa cell tumors

  To investigate the genomic landscape of primary and recurrent ovarian adult type granulosa cell tumors, we first identified an exploratory cohort comprised of cryopreserved surgical biopsies from 24 patients (primary, n = 8; recurrent, n = 16) with 20 having matched normal tissue or peripheral blood samples. We performed whole exome sequencing (WES) on these tumor samples at 200X target coverage (mean 226; range 165-296) and also performed WES on the available normal samples. In addition, we performed cancer gene panel sequencing using the T200.1 hybrid capture platform on FFPE tissue from 55 additional patients (primary, n = 27; recurrent, n = 28), of which we sequenced matched normal tissue for a total of 44.

  Study EGAS00001002833

• Gastric_Mutational_Signatures__GMS_

  This study aims to characterise the mutation burdens and signatures of adult stem cells derived from different regions of the stomach in order to gain insight into the causes and preclinical evolution of the diverse cancer subtypes. Clonal populations of cells from different anatomical locations of the stomach will be derived through organoid culture and/or laser microdissection and interrogated by whole genome sequencing and/or targeted pulldown. A total of circa 300 samples from 20 – 30 donors (cancer and non-cancer patients undergoing total/partial gastrectomy) will be analysed for mutational burden and signatures and genomic findings correlated with topology, age, risk factors and different stages of pre-neoplastic or neoplastic progression.

  Study EGAS00001002939

• Gastric_Mutational_Signatures__GMS_

  This study aims to characterise the mutation burdens and signatures of adult stem cells derived from different regions of the stomach in order to gain insight into the causes and preclinical evolution of the diverse cancer subtypes. Clonal populations of cells from different anatomical locations of the stomach will be derived through organoid culture and/or laser microdissection and interrogated by whole genome sequencing and/or targeted pulldown. A total of circa 300 samples from 20 – 30 donors (cancer and non-cancer patients undergoing total/partial gastrectomy) will be analysed for mutational burden and signatures and genomic findings correlated with topology, age, risk factors and different stages of pre-neoplastic or neoplastic progression.

  Study EGAS00001002938

• Whole genome sequencing of 25 South African individuals with myasthenia gravis

  This study investigated the genetic basis of an ophthalmoplegic subphenotype of MG (OP-MG) which occurs in a proportion of myasthenics with juvenile symptom onset and African genetic ancestry. This OP-MG subphenotype is characterised by treatment resistant weakness of the extraocular muscles (EOMs) and the pathogenetic mechanism(s) underlying its development is unknown. The aim of this study was to use a hypothesis-generating genome-wide case-control analysis to identify candidate OP-MG susceptibility genes and pathways. Whole genome sequencing (WGS) was performed on 25 AChR-antibody positive myasthenic individuals of African genetic ancestry sampled from the phenotypic extremes: 15 with OP-MG (cases) and 10 individuals with control MG (EOM treatment-responsive).

  Study EGAS00001003462

• Illumina Omni5 SNP chip genotyping of MacTel cases and unaffected controls for a genome-wide association study

  Macular telangiectasia type 2 (MacTel) is a rare neurovascular degenerative retinal disease. To identify genetic susceptibility loci for MacTel, we performed a genome-wide association study (GWAS). We genotyped 704 samples, of which 678 have consented to be available here. These samples mainly include MacTel cases but also some unaffected controls (often spouses). The samples were collected through the MacTel Project (funded by the Lowy Medical Research Institute), which includes a registry and extensive clinical analysis to confirm the presence of MacTel in affected individuals. Additional controls were obtained from dbGap [phs000429.v1.p1]. After QC steps, the GWAS utilised 476 cases and 1733 controls of European ancestry.

  Study EGAS00001002249

• EPIC arrays data for chemotherapy response project

  In this study, a total of 300 patients with MIBC receiving chemotherapy were included; 62 received NAC before cystectomy and 245 received first-line chemotherapy upon detection of locally-advanced (T4b) or metastatic disease. Treatment response, defined as pathological downstaging (< pTa,CIS,N0) after NAC or complete or partial response after first-line treatment (RECIST criteria). DNA methylation analysis was performed using DNA from 72 patients. We used 500 ng genomic DNA for bisulfite conversion followed by whole-genome amplification prior to hybridization to EPIC BeadChip (Illumina, San Diego, CA) overnight as described by the manufacturer and then scanned with the Illumina iSCAN system. Data provided here consist of 144 idat files.

  Study EGAS00001004515

• MutWP1: CRUK Grand Challenge Mutographs of Cancer: Kidney (1)

  The Mutographs project aims to advance our understanding of the causes of cancer through studies of mutational signatures. Led by Mike Stratton, together with Paul Brennan, Ludmil Alexandrov, Allan Balmain, David Phillips and Peter Campbell, this large-scale international research endeavour was awarded a Cancer Research UK Grand Challenge. Different patterns of somatic mutation are generated by the different environmental, lifestyle and genetic factors that cause cancer, many of them are still unknown. Within Mutographs, the International Agency for Research on Cancer is coordinating the recruitment of 5000 individuals with cancer (colorectal, renal, pancreatic, oesophageal adenocarcinoma or oesophageal squamous cancers) across 5 continents to explore whether different mutational signatures explain marked variation in incidence. In brief, through an international network of collaborators around the world, biological materials are collected, along with demographic, histological, clinical and questionnaire data. Whole genome sequences of tumour-germline DNA pairs are generated at the Wellcome Trust Sanger Institute. Somatic mutational signatures are subsequently extracted by non-negative matrix factorisation methods and correlated with risk factors data. Through an enhanced understanding of cancer aetiology, Mutographs unprecedented effort is anticipated to outline modifiable risk factors, lead to new approaches to prevent cancer, and provide opportunities to empower early detection, refine high-risk groups and contribute to further therapeutic development.

  Dataset EGAD00001006427

• MutWP4: CRUK Grand Challenge Mutographs of Cancer: Gastric Organoids (2019-08-07)

  The Mutographs project aims to advance our understanding of the causes of cancer through studies of mutational signatures. Led by Mike Stratton, together with Paul Brennan, Ludmil Alexandrov, Allan Balmain, David Phillips and Peter Campbell, this large-scale international research endeavour was awarded a Cancer Research UK Grand Challenge. Different patterns of somatic mutation are generated by the different environmental, lifestyle and genetic factors that cause cancer, many of them are still unknown. Within Mutographs, Kings College London will characterise the mutational signatures induced by putative human carcinogens in order to identify the origins of mutational signatures found in human cancers. To achieve this human organoid cell cultures will be exposed to a representative catalogue of known or suspected human carcinogens and mutagens and, using whole genome sequencing, the patterns of mutations induced by them will be determined. Somatic mutational signatures will be subsequently extracted by non-negative matrix factorisation methods and correlated with exposure data. Through an enhanced understanding of cancer aetiology, Mutographs unprecedented effort is anticipated to outline modifiable risk factors, lead to new approaches to prevent cancer, and provide opportunities to empower early detection, refine high-risk groups and contribute to further therapeutic development. . This dataset contains all the data available for this study on 2019-08-07.

  Dataset EGAD00001005234

• MutWP4: CRUK Grand Challenge Mutographs of Cancer: Pancreatic Organoids (2021-02-02)

  The Mutographs project aims to advance our understanding of the causes of cancer through studies of mutational signatures. Led by Mike Stratton, together with Paul Brennan, Ludmil Alexandrov, Allan Balmain, David Phillips and Peter Campbell, this large-scale international research endeavour was awarded a Cancer Research UK Grand Challenge. Different patterns of somatic mutation are generated by the different environmental, lifestyle and genetic factors that cause cancer, many of them are still unknown. Within Mutographs, Kings College London will characterise the mutational signatures induced by putative human carcinogens in order to identify the origins of mutational signatures found in human cancers. To achieve this human organoid cell cultures will be exposed to a representative catalogue of known or suspected human carcinogens and mutagens and, using whole genome sequencing, the patterns of mutations induced by them will be determined. Somatic mutational signatures will be subsequently extracted by non-negative matrix factorisation methods and correlated with exposure data. Through an enhanced understanding of cancer aetiology, Mutographs unprecedented effort is anticipated to outline modifiable risk factors, lead to new approaches to prevent cancer, and provide opportunities to empower early detection, refine high-risk groups and contribute to further therapeutic development. . This dataset contains all the data available for this study on 2021-02-02.

  Dataset EGAD00001006933