17084 results for "free coins in fc 26 Visit Buyfc26coins.com for latest FC 26 coins news..xwWa"

in 27.03 milliseconds.

• bfast CohortD ctDNA manifest

  A list of ctDNA samples included in the dataset.

  Dataset EGAD50000000146

• Integrated Genomic and Transcriptomic Analysis Reveals Unique Characteristics of Hepatic Metastases and Pro-metastatic Role of Complement C1q in Pancreatic Ductal Adenocarcinoma

  Study EGAS00001004821

• Single cell sequencing reveals expanded cytotoxic CD4+ T cells and two clusters of peripheral helper T cells in synovial fluid of ACPA+ RA patients

  Study EGAS00001005241

• CRISPR_perturbations_IRF4_PRDM1_Bcells

  CRISPR perturbations of IRF4, PRDM1, and AAVS1 (within PPP1R12C gene) in activated B cells

  Dataset EGAD50000002113

• Immune deconvolution output

  Results of comprehensive immune deconvolution analysis through the TIMER2 web portal with algorithms specified in the publication.

  Dataset EGAD00001008789

• ATAC-seq in colon normal mucosa

  ATAC-seq

  Dataset EGAD00001007690

• Neoantigen responses to Immunotherapy in Prostate Cancer

  To determine whether antigen-specific T cell responses can be elicited following treatment with ICT in cancers that have a low TMB, a clinical trial with ipilimumab (anti-CTLA-4) was conducted in 30 patients with metastatic castration-resistant prostate cancer (CRPC). We identified 2 distinct groups of patients divided by clinical outcomes, which consisted of a cohort with Favorable and Unfavorable outcomes. Compared to the Unfavorable cohort, the patients in the Favorable cohort were more likely to have higher intratumoral CD8 T cell density and/or IFN-γ response gene signature, including five patients who had antigen-specific T cell responses that were only detectable after ipilimumab therapy. Three patients had T cell responses against tumor-associated antigens (PSMA and PAP). Importantly, two patients with a relatively low TMB had T cell responses against unique neoantigens. Collectively, our data indicate that a subset of patients with metastatic prostate cancer benefit from ICTs, particularly those who have immunological biomarkers associated with effector T cell responses. Publication: Sumit K. Subudhi, Luis Vence, Hao Zhao, Jorge Blando, Shalini S. Yadav, Qing Xiong, Alexandre Reuben, Ana Aparicio, Paul G. Corn, Brian F. Chapin, Louis L. Pisters, Patricia Troncoso, Rebecca Slack Tidwell, Peter Thall, Chang-Jiun Wu, Jianhua Zhang, Christopher L. Logothetis, Andrew Futreal, James P. Allison and Padmanee Sharma, 2020, Neoantigen responses, immune correlates, and favorable outcomes after ipilimumab treatment of patients with prostate cancer. Science Translational Medicine, 01 Apr 2020:Vol. 12, Issue 537, eaaz3577DOI: 10.1126/scitranslmed.aaz3577. https://pubmed.ncbi.nlm.nih.gov/32238575/

  Study EGAS00001004050

• NPC genome-wide human SNP array data for HongKong population

  nasopharyngeal carcinoma genome-wide human SNP array data for 423 NPC cases and 573 controls

  Dataset EGAD00010002298

• Geisinger Health System - MyCode, eMERGE III Exome Chip

  DNA samples were obtained from participants of the Geisinger MyCode biobank. Phenotype data to determine case or control status for abdominal aortic aneurysm or extreme obesity were derived from Geisinger electronic medical record data through an enterprise data warehouse. Samples were genotyped using the Illumina Human CoreExome-12 v1.0 Array. Genotype data were filtered using standard quality control measures.

  Study phs000957

• Kids First: Pediatric Research Project on Adolescent Idiopathic Scoliosis

  Both childhood cancers and structural birth defects are critical and costly conditions associated with substantial morbidity and mortality. Elucidating the underlying genetic etiology of these diseases has the potential to profoundly improve preventative measures, diagnostics, and therapeutic interventions. For the current study, families with inherited adolescent idiopathic scoliosis were included. Both affected and unaffected family members were included.

  Study phs001410

• The Genomic Complexity of Primary Human Prostate Cancer

  Seven primary prostate cancers and their paired normal counterparts were DNA-sequenced on a massively parallel sequencing platform. This approach was taken to investigate the genomes for mutations and genomic alterations that would be undetectable by lower-resolution methods. As result, tumors containing chains of balanced rearrangements that occurred within or adjacent to known cancer genes were discovered.

  Study phs000330

• Oncogenic FOXL2C134W has gain-of-function chromatin remodeling activity that reprograms glucocorticoid receptor occupancy to promote ovarian granulosa cell tumor growth

  This dataset contains bam files from the whole exome sequencing performed on granulosa cell tumors and 7 sequencing experiments performed on human-derived KGN granulosa cell tumor cells and isogenic cell lines. The latter include transcription factor ChIP-seq for Foxl2 as well as transcription factor ChIP-seq for Foxl2 and GR under dexamethasone treatment and untreated conditions, two ATAC-seq data sets, two RNA-seq data sets, and Histone marks ChIP-seq.

  Dataset EGAD50000000880

• Paired-end RNA-Seq Dataset of 72 Brain Organoid Samples: Sequencing and Gene Expression Analysis

  72 fastq sequencing files of 72 brain-organoid paired-end sequenced samples (R1/R2). RNA sequencing libraries were prepared using the NEBNext Ultra II RNA Library Prep Kit for Illumina following the manufacturer’s instructions (New England Biolabs, USA). mRNAs were first enriched with Oligo(dT) beads. The samples were sequenced using a 2x150 Pair-End configuration (ver. 1.5) on an Illumina NovaSeq 6000 The raw sequence reads were aligned to the human reference genome GRCh38 using the STAR aligner (Dobin et al., 2013). Gene expression levels were quantified using the FeatureCounts tool (Liao et al., 2014) (file: "All_Counts_final.xlsx") For more information, see "Study Description"

  Dataset EGAD50000000935

• Genotyping Data From Subjects With Brain Lesions

  These data are from subjects with adult diffuse glioma (IDH wildtype, IDH mutant/1p19q intact, and IDH mutant/1p19q co-deleted), brain lesions, tumefactive multiple sclerosis, brain metastases, central nervous system lymphoma and controls genotyped on the Affymetrix Axiom Precision Medicine array. Data from this study were used for case/control association studies and developing polygenic risk scores.

  Study phs003806

• Targeted pancancer RNA-Seq

  This dataset contains targeted RNA-Seq generated with the Illumina RNA Pan-Cancer panel. It comprises 2200 cancers from children and adults. The cancers represent a wide range of CNS, solid and haematopoeitic tumours. Samples are from pathology specimens including FFPE, fresh frozen, bone marrow aspirate and peripheral blood.The data is used for tumour driver identification. SNVs, indels and fusion detection.

  Study EGAS50000000700

• Genetic and Microenvironmental Analysis of Peripheral T-cell Lymphoma

  This study enrolled 129 patients diagnosed with PTCL, comprising 94 cases of nTFHL and 35 cases of PTCL-NOS. Whole exome sequencing (WES) and RNA sequencing (RNA-seq) were performed using DNA and RNA of sufficient quality extracted from their tumor specimens. WES was conducted for all 129 cases, while RNA-seq was performed on 57 tumor samples.

  Study EGAS50000001258

• ICARUS-LUNG01-GEOMx

  A GeoMx spatial transcriptomic study using 7 patients from the ICARUS LUNG01 trial focusing on tumour and immune cell compartments. We selected 7 paired baseline and on-treatment patient samples for analysis. We selected up to 4 regions of interest (ROI) per sample tissue. We identified tumour and immune cell areas of illumination (AOI) using CK and CD45 antibodies respectively

  Study EGAS50000001679

• Molecular profiling of MBD4-deficient acute myeloid leukaemia

  We describe two cases of MBD4-deficient acute myeloid leukaemia (AML). Clinical samples were used for molecular analysis, including genomic profiling (genome and exomes), methylation analysis (RRBS) and transcriptional profiling (RNA-sequencing). An analysis and methodological description has been published: “MBD4 guards against methylation damage and germline deficiency predisposes to clonal hematopoiesis and early-onset AML” [PMID: 30049810]

  Study EGAS00001002581

• ICGC_Benchmarking_Exercise

  The main objective of this benchmark is the comparison of the full sequencing pipeline of different ICGC partners, including procedures, methods and performance of library preparation and whole-genome deep-sequencing. A secondary objective will be a follow-up comparison of data analysis pipelines for identification of germline and somatic variants subsequent to the results of the ICGC Somatic Variant Calling Pipeline Benchmark.

  Study EGAS00001000433

• Prostate_Cancer_Whole_Genome_Validations

  We propose to definitively characterise the somatic genetics of Prostate cancer through generation of comprehensive catalogues of somatic mutations by high coverage genome sequencing. This study will aim to validate the findings of the whole genome study by re-sequencing regions of interest using a bespoke pulldown bait. See ICGC website for more information: http://icgc.org/icgc/cgp/70/508/71331

  Study EGAS00001000427

• Whole Exome Sequencing of High grade T1 non-muscle invasive bladder cancer

  High-grade T1 (HGT1) bladder cancer (BC) is the highest risk subtype of non-muscle-invasive BC with unpredictable outcome and poorly understood risk factors. Here we performed whole exome sequencing across 61 HGT1 samples to identify genomic predictors of good outcome, recurrence or progression. This study includes somatic mutation calls and clinical data for 61 HGT1 tumors.

  Study EGAS00001004603

• Gene_Characterization_in_Carbohydrate_metabolic_alterations__neonatel_diabetes___congenital_hyperinsulinemic__in_early_childhood

  Whole Exome Sequencing of trios (proband + parents) or probands only with Neonatal Diabetes Mellitus (NDM) or Congenital Hyperinsulinism of Infancy (CHI) of unknown genetic origin. This 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 EGAS00001002074

• Amplified EPOR/JAK2 genes define a unique subtype of acute erythroid leukemia

  Acute erythroid leukemia (AEL) is a unique subtype of acute myeloid leukemia characterized by prominent erythroid proliferation, whose molecular basis is poorly understood. To elucidate the underlying mechanism of erythroid proliferation, we performed comprehensive genomic study. The aim of this study is to unveil genotype phenotype correlations and the feasible molecular targets for therapy of AEL.

  Study EGAS00001005810

• Single cell RNA sequencing of bone marrow mononuclear cells

  Bone marrow aspirates were obtained from patients with relapsed/refractory large B cell lymphoma (rrLBCL), mononuclear cells isolated by ficoll density-gradient centrifugation, and loaded onto a 10X Chromium for single cell RNA-sequencing using 5’ chemistry without prior cryopreservation. Healthy donor bone marrow mononuclear cells were obtained from healthy allogeneic stem cell transplant donors and analyzed following viable cryopreservation.

  Study EGAS00001006836

• Single cell sequencing of human normal luminal cells

  The dataset includes 12 paired FASTQ files (6 samples) with single cell transcriptome sequencing data of normal breast luminal cells from ducts and TDLUs derived from reduction mammoplasties from three patients. Chromium Single Cell 3’ Reagent Kit v2 or v3 (10x Genomics) were used for processing of cells, whereafter sequencing was performed using the Illumina® NextSeq500/550 High Output Kit v2. Cell Ranger was used for generating FASTQ files and files from different lanes were concatenated prior to uploading the data to EGA. "R1" files include the feature barcodes and UMIs, while "R2" files include the reads.

  Dataset EGAD00001008499

• Whole exome and transcriptome sequencing of BPDCN

  This data set contains whole exome and transcriptome data from 47 case with BPDCN. For exome data, bam files are provided (mapped against GRCh38), for transcriptome raw fastq-files (paired-end data).

  Dataset EGAD00001008692

• Immune Response Targeted Panel + B/TCR Profiling + AbSeq + Sample Tag Multiplexing

  Multiomics data for a cohort of 20 COVID-19 patients (10 patients mild, 3 patients moderate, 4 patients severe, 3 patients critical) obtained from peripheral blood mononuclear cells (PBMCs) from longitudinally sampled at hospital admission, discharge, and 1 month thereafter. The data has been obtained a multiwell-based single-cell technology (BD Rhapsody) that includes the targeted expression of BD Immune Response Targeted Panel, the TCR/BCR profiling and a set of 52 surface proteins. The samples of the different patients at different collection times were labelled using a cell hashing strategy with the BD Single-Cell Multiplexing Kit (6 samples for each run).

  Dataset EGAD00001011319

• A new subgroup of hepatocellular adenomas with sonic hedgehog pathway activation

  Using sequencing and gene expression analyses, we identified a subgroup of HCA characterized by fusion of the INHBE and GLI1 genes and activation of sonic hedgehog pathway. Molecular subtypes of HCAs associated with different patients’ risk factors for HCA, disease progression, and pathology features of tumors. This classification system might be used to select treatment strategies for patients with HCA. Related Publication: Molecular Classification of Hepatocellular Adenoma Associates With Risk Factors, Bleeding, and Malignant Transformation Nault, Jean-CharlesLaurent, Christophe et al. Gastroenterology , Volume 152 , Issue 4 , 880 - 894.e6 http://dx.doi.org/10.1053/j.gastro.2016.11.042

  Dataset EGAD00001003092

• SCLC study George et al. - WGS data set

  Whole genome sequencing was performed with DNA extracted from fresh-frozen tumor and normal material. Short insert DNA libraries were prepared with the TruSeq DNA PCRfree sample preparation kit (Illumina) for paired-end sequencing at a minimum read length of 2x100bp. Human DNA libraries were sequenced to an average coverage of minimum 30x for both tumor and matched normal. Murine DNA libraries of tumor and matched normal were both sequenced to a coverage of 25x.

  Dataset EGAD00001001273

• RNA-Seq data for the paper titled "Orthotopic Patient-Derived Xenografts of Pediatric Solid Tumors"

  RNA-Seq data for the paper titled "Orthotopic Patient-Derived Xenografts of Pediatric Solid Tumors"

  Dataset EGAD00001003433

• A108768B

  Whole genome sequencing for single cells for library A108768B 1126 cells; filetype=bam

  Dataset EGAD00001007089

• Data Access Committee for Deciphering Developmental Disorders (DDD) Project

  Dac EGAC00001000282

• Oncotrack_450K_tumor

  Oncotrack primary tumor samples using 450K. The dataset includes shared AF analysis files oncotrackDNAmAnalysis.R and oncotrackDNAmBetaScores.txt which were applied for both Oncotrack_450K_tumor (EGAD00010001162) and Oncotrack_450K_metastatic (EGAD00010001161) datasets.

  Dataset EGAD00010001162

• Whole genome sequencing of 63 single cells isolated from bone marrow aspirates of six non-metastatic breast cancer patients after staining for disseminated tumor cells.

  Dataset EGAD00001002745

• Copy Number Arrays for study EGAS00001004165

  Copy Number Alterations arrays from 153 samples performed by Affymetrix 6.0 and Oncoscan CNV platforms

  Dataset EGAD00010001841

• SAFIR02_Cytoscan

  Genomics to select patients with metastatic breast cancer for targeted therapy (microarray_cytoscan)

  Dataset EGAD00010002239

• Sequencing data for oesophageal and related samples - OACs release 5 (RNA)

  Dataset EGAD00001005383

• Sequencing data for oesophageal and related samples - Normals release 6 (RNA)

  Dataset EGAD00001005376

• Sequencing data for oesophageal and related samples - BOs release 6 (RNA)

  Dataset EGAD00001005377

• Sequencing data for oesophageal and related samples - OACs release 4 (RNA)

  Dataset EGAD00001004021

• Clinical data IMvigor130 cohort

  Clinical data for IMvigor130 cohort of patients, including treatment, response, survial time, and tumor PDL1-IC staining score.

  Dataset EGAD50000000143

• CD8 T cell PBMC metadata

  Cell annotation for single CD8 T cells of PBMC collected from 113 patients, including UMAP coordinates and annotation

  Dataset EGAD50000000144

• Single Cell RNA-Seq

  Examination of Sample Multiplexing Reagents for Single Cell RNA-Seq. Nine techniques applied to samples from four PDX models: #105, #177, #233, #264

  Dataset EGAD50000000216

• PREGO

  Core set of the PREGO biobank containing experimental genotypes at 209,706 autosomal sites measured on Affymetrix PMRA Axiom array plates for a group of 3,234 individuals from Western France.

  Dataset EGAD00010002661

• sWGS for 92 samples of mCRC

  Shallow Whole Genome Sequencing of 92 mCRC samples. Chromosomal copy number alterations analysis was performed with the samples to predict response to bevacizumab.

  Dataset EGAD50000000992

• RNA-seq of murine osteosarcoma cell line genetically modified for CYR61

  Transcriptomic analysis of K7M2 murine osteosarcoma cells stably modified to overexpress or repress CYR61

  Dataset EGAD50000000747

• Picuris Pueblo Genomic Project – Modern Dataset

  Please refer to the Supplemental Materials of the paper for more information.

  Dataset EGAD50000001245

• WES PTCL Data

  Whole Exome Sequencing (WES) of 153 FFPE DNA samples of Peripheral T-Cell Lymphoma. Associated with "Molecular biomarkers for stratification periheral T cell lymphoma" study.

  Dataset EGAD50000001250

• DAC policy The Kids Research Institute Australia

  DAC policy related to the study: Visium CytAssist Spatial Gene Expression analysis for FFPE glioblastoma samples. Committee: Emily Fletcher emily.fletcher@thekids.org.au Anya Jones anya.jones@thekids.org.au Emma Stone emma.stone@thekids.org.au

  Dac EGAC50000000734

• Brain Mapping by Integrated Neurotechnologies for Disease Studies: Human Brain Aging Imaging Study

  Compare the MRI data with amyloid PET images and cognitive data.

  Study JGAS000277