17426 results for "fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins They are definitely a top seller..rG5l"

in 22.14 milliseconds.

• A genome-wide association study for nasopharyngeal carcinoma in Hong Kong population

  Study EGAS00001006102

• Single_cell_RNA_sequencing_of_rhabdomyosarcoma_tumouroids

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001008273

• Single_cell_RNA_sequencing_of_rhabdomyosarcoma_tumour_tissue

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001008275

• Childhood_arthritis_DNA

  The aim of this study is to describe the transcriptome of single arthritic cells.

  Study EGAS00001002652

• Single_cell_ATAC_sequencing_of_rhabdomyosarcoma_tumour_tissue

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001008276

• The Genetic Landscape of Metastasis and Recurrence in Head and Neck Squamous Cell Carcinoma

  Recurrence and/or metastasis occur in more than half of patients with head and neck squamous cell carcinoma (HNSCC) and pose the greatest threats to long-term survival. The genetic alterations underlying recurrent/metastatic HNSCC are unknown. This study represents the first whole exome sequencing (WES) cohort study of patient-matched tumor pairs in recurrent or metastatic HNSCC. Synchronous lymph node metastases are genetically more similar to their paired index primary tumors than metachronous recurrent tumors are. Newly arisen mutations in recurrent or metastatic tumors, may have therapeutic implications. Several genes were found to be mutated in multiple metastatic or recurrent tumors, but not in their respective primaries, including C17orf104, ITPR3, and DDR2. DDR2 mutations have been shown to confer enhanced sensitivity to Src-family kinase (SFK) inhibitors in other malignancies. Similarly, we found HNSCC cell lines harboring endogenous and engineered DDR2 mutations to be more sensitive to the SFK inhibitor dasatinib, than those with WT DDR2. This study outlines the first compendium of somatic mutations in primary, metastatic and/or recurrent HNSCC cancers that arise in individual patients; and demonstrates how such data can be used to interrogate potential predictive/prognostic biomarkers to inform and guide personalized therapy.

  Study phs001007

• Multi-omic Profiling of Central Nervous System Leukemia Identifies mRNA Translation as a Therapeutic Target

  Central nervous system (CNS) dissemination of B-precursor acute lymphoblastic leukemia (B-ALL) has poor prognosis and remains a therapeutic challenge. Here we performed targeted DNA sequencing, transcriptional and proteomic profiling of paired leukemia infiltrating cells in the bone marrow (BM) and CNS of xenografts. Genes governing mRNA translation were upregulated in CNS leukemia, and subclonal genetic profiling confirmed this in both BM-concordant and BM-discordant CNS mutational populations. CNS leukemia cells were exquisitely sensitive to the translation inhibitor omacetaxine mepesuccinate, which reduced xenograft leptomeningeal disease burden. Proteomics demonstrated greater abundance of secreted proteins in CNS infiltrating cells including complement component 3 (C3) and drug targeting of C3 influenced CNS disease in xenografts. CNS infiltrating cells also exhibited selection for stemness traits and metabolic reprogramming. Overall, our study identifies therapeutic targeting of mRNA translation as a novel therapeutic approach for B-ALL leptomeningeal disease.

  Study EGAS00001005647

• Mutation screening in a large series of Japanese hearing loss patients using massively parallel DNA sequencing analysis.

  In the present study, mutation screening in a large series of Japanese hearing loss (HL) patients to clarify the prevalence and clinical characteristics of each deafness causative genes. Massively parallel DNA sequencing of 63 or 68 target genes were performed in 2969 unrelated Japanese HL patients to identify genomic variations responsible for HL.

  Study JGAS000490

• Dataset of methylation data from whole blood DNA

  This dataset includes raw data (.idat) for the Illumina Human450k beadchip and methylation levels (.txt files). Methylation level were treated for normalization and background substraction. We removed probes with at least one of the following characteristics: (1) weak signal (p > 0.01) (2128 CpG sites), (2) SNP-enriched sites (4100 sites), (3) out of a CpG context (not on a CG) (3149 sites), or (4) located on sex chromosomes (11,129 sites). A total of 465,071 CpG sites were analyzed initially. Signal was then normalized, first by scaling to the internal controls using the methylumi R package, then by applying the method of subset-quantile within array normalization (SWAN) implemented in the minfi R package.

  Dataset EGAD00010001593

• Identification of Recurrent NAB2-STAT6 Gene Fusions in Solitary Fibrous Tumor by Integrative Sequencing

  Transcriptome sequencing of solitary fibrous tumors / hemangiopericytomas from a variety of anatomic sites revealed recurrent gene fusions between two genes, NAB2 and STAT6. All SFTs examined exhibited an in-frame fusion transcript encoding a fusion protein containing the EGR1 interaction domain of NAB2 with the transcriptional activation domain of STAT6. Functional testing of the fusion alleles confirmed the conversion of the wt NAB2 repressor into a transcriptional activator. A range of individual fusion junctions can be detected by next-generation sequencing acro the sample set, highlighting the suitability of this method in the diagnostic characterization of SFTs. This study indentified the pathognomonic alteration in solitary fibrous tumors and illuminates a pathway towards targeted therapeutics for this cancer.

  Study phs000567

• Genome analysis of common diseases among older Japanese adults and development of clinical genome information storage

  A comprehensive gene expression analysis of the process leading up to the onset of Alzheimer???s disease (AD) would be helpful for understanding the mechanism. We performed an RNA sequencing analysis on a cohort of 1227 Japanese blood samples, representing 424 AD patients, 543 individuals with mild cognitive impairment (MCI), and 260 cognitively normal (CN) individuals. A total of 883 and 1169 statistically significant differentially expressed genes (DEGs) were identified between CN and MCI (CN-MCI) and between MCI and AD (MCI-AD), respectively. Pathway analyses using these DEGs, followed by protein???protein interaction network analysis, revealed key roles of ribosomal genes (RPL7, RPL11, and RPL14) and phagosomes (CDC42, PTPRC, PLCG1, and ACTR2) in MCI progression, whereas immune-related genes were involved in AD progression. Given the known effectiveness of delaying MCI progression in preventing AD, the genes related to ribosomal function and phagocytosis might emerge as biomarkers for early diagnosis.

  Study JGAS000755

• Cancer Registry of Norway - NIPH Data Access Committee for CRCbiome datasets

  The Cancer Registry of Norway - NIPH appointed Data Access Committee for the CRCbiome datasets - The microbiome as a colorectal cancer screening biomarker. https://www.mn.uio.no/sbi/english/groups/rounge-group/crcbiome/.

  Dac EGAC50000000121

• Sequencing data for Murtaza et al. Nature Communications 2015 (doi:10.1038/ncomms9760)

  Exome and targeted amplicon sequencing data for tumor, germline and plasma samples from a patient with metastatic breast cancer.

  Dataset EGAD00001002108

• Whole exome sequencing study for 8 pairs of primary NSCLCs and distant metastases

  Whole exome sequencing study for 8 pairs of primary NSCLCs and distant metastases. This dataset includes a total of 30 samples.

  Dataset EGAD00001005764

• consHLA extra samples for comparison with clinical HLA types

  Samples not in other datasets for the paper titled; consHLA: a Next Generation Sequencing Consensus-based HLA Typing Workflow

  Dataset EGAD00001015625

• Transposable elements are co-opted as oncogenic regulatory elements by lineage-specific transcription factors in prostate cancer

  Study EGAS00001007188

• Whole_genome_sequencing_of_rhabdomyosarcoma_tumouroids

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001008270

• Blina_Tumour_project

  The aim of this study is to reconstruct the embryology of childhood tumours.

  Study EGAS00001006486

• Orphan_Tumour_Study_NB_sNuc_WGS

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001006837

• Whole_Genome_sequencing_of_rhabdomyosarcoma_tumour_tissue

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001008274

• Genome-wide copy number analysis of neuroblastoma

  Neuroblastoma is the most common extracranial solid tumor in childhood. Despite the improvement of risk-stratified therapies, overall survival rate of high-risk group is still as low as 40-50%. To investigate genome-wide copy number profiles of neuroblastoma, we performed SNP array analysis and PCR-based amplicon deep sequencing of neuroblastoma-related genes in 522 neuroblastoma samples.

  Study JGAS000046

• Whole genome analysis of pediatric patients with medulloblastoma

  Cancer genomes often contain structural variations (SVs) in non-coding regions, while its impact on tumorigenesis is still unclear. Our goal is to discover genome folding changes resulted from SVs using InfoGenomeR and InfoHiC frameworks, which may reveal novel therapeutic targets. We applied our frameworks to five pediatric patients with medulloblastoma, revealing 3D genome changes of medulloblastoma driver genes.

  Study EGAS00001006653

• Center Common Disease Genomics [CCDG] - CVD - TAICHI

  The TaiChi consortium consists of 6 studies that collaborated initially in a large scale metabochip study, and became an ongoing consortium for studies of cardiometabolic disease in the Chinese population in Taiwan. The six studies included the following: 1) SAPPHIRe (Stanford-Asian Pacific Program in Hypertension and Insulin Resistance), a family based study established in 1995 with an initial goal of identifying major genetic loci underlying hypertension and insulin resistance in East Asian populations, with Taiwan subjects participating in the TaiChi consortium; 2) TCAGEN (Taiwan Coronary Artery Disease GENetic), a cohort study that the enrolled patients undergoing coronary angiography or percutaneous intervention at the National Taiwan University Hospital (NTUH) in the setting of either stable angina pectoris or prior myocardial infarction; 3) TACT (TAiwan Coronary and Transcatheter intervention), a cohort study enrolled patients with angina pectoris and objective documentation of myocardial ischemia who underwent diagnostic coronary angiography and/or revascularization any time after October 2000 at the National Taiwan University Hospital (NTUH) (similar to TCAGEN but recruitment was independent of TCAGEN); 4) Taiwan DRAGON (Taiwan Diabetes and RelAted Genetic COmplicatioN), a cohort study of Type 2 diabetes at Taichung Veterans General Hospital (Taichung VGH) in Taiwan, with participants including individuals with either newly diagnosed or established diabetes (subjects with hyperglycemia who did not meet diagnostic criteria for Type 2 DM were not included); 5) TCAD (Taichung CAD study), includes patients with a variety of cardiovascular diseases who received care at the Taichung Veterans General Hospital (Taichung VGH), i.e. specifically individuals who were hospitalized for diagnostic and interventional coronary angiography examinations and treatment; 6) TUDR (Taiwan US Diabetic Retinopathy) enrolled subjects with Type 2 diabetes who received care at Taichung Veteran General Hospital (Taichung VGH), and a small number of subjects from Taipei Tri-Service General Hospital (TSGH); TUDR subjects underwent a complete ophthalmic and fundus examination to carefully document the presence and extent of retinopathy. From these 6 studies, subjects were selected based on completeness of standard metabolic phenotyping and knowledge of cardiac disease status (early onset coronary disease), to undergo whole genome sequencing at the Broad.

  Study phs001487

• Genetics of Congenital Anomalies of the Kidney and Urinary Tract

  The Genetics of Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) contributes data from unrelated individuals who were recruited at the Columbia University Medical Center (New York, USA), the Polish Registry of Congenital Malformations (Poland), the Universities of Parma, Bari, and Brescia, and the Gaslini Institute (Italy), the University of Skopje (Macedonia), and VUMC of Amsterdam (Netherlands). These individuals consented to share their data for scientific discovery. The purpose of the study is to investigate the genetic architecture of CAKUT.  Additionally, part of the data in this study was generated from 418 DNA samples from the Randomized Intervention for Children with Vesicoureteral Reflux (RIVUR) study, and supplied by the NIDDK Central Repository. The RIVUR study was conducted by the RIVUR study investigators, and supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). The Genetics of CAKUT study was not conducted in collaboration with investigators of the RIVUR study and does not necessarily reflect the opinions or views of the RIVUR study, the NIDDK Central Repository, or the NIDDK. Genomic DNA samples were genotyped on Illumina Multi-Ethnic Global Arrays.

  Study phs001749

• Comprehensive benchmarking of methods for mutation calling in circulating tumor DNA

  This study provides a comprehensive benchmarking resource for somatic variant detection in cell-free DNA (cfDNA) from cancer patients. Longitudinal plasma samples from colorectal and breast cancer cohorts were selected to create patient-matched dilution series spanning ultra-low to high circulating-tumour-DNA (ctDNA) fractions, while preserving each individual’s germline and clonal haematopoiesis background. Deep whole-genome sequencing (150×) and ultra-deep whole-exome sequencing (2,000×) generated a reference call set of ~37,000 single-nucleotide variants and ~58,000 insertions/deletions. These data enabled systematic evaluation of nine somatic variant callers across variable ctDNA levels and sequencing depths, and were further used to explore machine-learning–guided parameter tuning. The resulting dataset offers an openly accessible framework for developers and clinicians to assess and optimize somatic variant calling in liquid biopsy applications.

  Study EGAS50000001313