16758 results for "sec+and+unspecified+malignant+neoplasm"

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• Genome and transcriptome sequence data from a extramedullary spinal ependymoma patient

  Genome and transcriptome sequence data from a extramedullary spinal ependymoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004635

• Genome and transcriptome sequence data from a metastatic endometrioid/mucinous ovarian carcinoma patient

  Genome and transcriptome sequence data from a metastatic endometrioid/mucinous ovarian carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004636

• Genome and transcriptome sequence data from a metastatic clear cell carcinoma of gynecological origin patient

  Genome and transcriptome sequence data from a metastatic clear cell carcinoma of gynecological origin patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004637

• Genome and transcriptome sequence data from a high grade serous ovarian cancer patient

  Genome and transcriptome sequence data from a high grade serous ovarian cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004638

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

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the pancreas patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004640

• Genome and transcriptome sequence data from a metastatic alveolar soft part sarcoma patient

  Genome and transcriptome sequence data from a metastatic alveolar soft part sarcoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004641

• Genome and transcriptome sequence data from a metastatic lung adenocarcinoma patient

  Genome and transcriptome sequence data from a metastatic lung adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004644

• Genome and transcriptome sequence data from a metastatic colorectal cancer patient

  Genome and transcriptome sequence data from a metastatic colorectal cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004646

• Genome and transcriptome sequence data from a metastatic uveal melanoma patient

  Genome and transcriptome sequence data from a metastatic uveal melanoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004647

• Genome and transcriptome sequence data from a high grade sarcoma of the epithelioid/spindle cell patient

  Genome and transcriptome sequence data from a high grade sarcoma of the epithelioid/spindle cell patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004648

• Genome and transcriptome sequence data from a metastatic breast carcinoma patient

  Genome and transcriptome sequence data from a metastatic breast carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004651

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

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the stomach patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004652

• Genome and transcriptome sequence data from a breast invasive ductal carcinoma patient

  Genome and transcriptome sequence data from a breast invasive ductal carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004654

• Genome and transcriptome sequence data from a locally advanced oropharyngeal carcinoma patient

  Genome and transcriptome sequence data from a locally advanced oropharyngeal carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004655

• Genome and transcriptome sequence data from a metastatic ampullar carcinoma patient

  Genome and transcriptome sequence data from a metastatic ampullar carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004657

• Genome and transcriptome sequence data from a metastatic breast cancer patient

  Genome and transcriptome sequence data from a metastatic breast cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004659

• Genome and transcriptome sequence data from a metastatic primitive neuro-ectodermal tumor of the testicle patient

  Genome and transcriptome sequence data from a metastatic primitive neuro-ectodermal tumor of the testicle patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004660

• Genome and transcriptome sequence data from a metastatic clear cell carcinoma of the ovary patient

  Genome and transcriptome sequence data from a metastatic clear cell carcinoma of the ovary patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004661

• Genome and transcriptome sequence data from a metastatic leiomyosarcoma of pancreas patient

  Genome and transcriptome sequence data from a metastatic leiomyosarcoma of pancreas patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004662

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

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the pancreas patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004663

• Genome and transcriptome sequence data from a non-small cell lung cancer patient

  Genome and transcriptome sequence data from a non-small cell lung cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004672

• Clonal structure and oncogenic potential of liver cirrhosis tissues.

  Hepatocellular carcinoma (HCC) recurrently develops in cirrhotic liver composed of numbers of regenerative nodules (RNs). The biologic or genetic basis of RNs for hepatocarcinogenesis remains unclear at present. Thus, to uncover the basis of cirrhotic liver for multicentric tumorigenesis, we investigated the oncogenic potential of RNs in LC tissues using multi-omics analysis.

  Study JGAS000134

• Comprehensive NGS Profiling to Enable Detection of ALK Gene Rearrangements and MET Amplifications in Non-Small Cell Lung Cancer

  We evaluate the analytical performance of the PGDx™ elio™ tissue complete assay, a 505 gene next-generation sequencing (NGS) tissue-based assay, that has now been FDA-cleared for use by physicians to help guide treatment decisions for cancer patients, using a NSCLC cohort of 38 patients.

  Study EGAS50000000010

• Dataset of 2485 CD8 T cells from non-muscle-invasive bladder cancer patients in context of BCG treatment

  FASTQ files from scRNAseq (smartseq2 protocol) from 2485 CD8 T cells from 4 non-muscle-invasive bladder cancer patients who received BCG treatment (induction treatment of 6 weekly instillations). Concerning the 'phenotype' column in metadata : pre-treatment samples include tumor samples ('Tumor') and normal adjacent bladder tissue ('Extratumor'). For post-treatment samples : no residual tumor was found in the bladder of the 4 patients after the BCG treatment . The post-treatment samples with 'Tumor' as phenotype denote samples from macroscopically suspect zones, but with microscopically no tumor detected.

  Dataset EGAD50000002007

• Small cell number RNA-seq (400 cells per sample)

  Transcriptional profiles for stemB and proB cells harvested from either primary or secondary xenografts. This dataset contains six types of samples: - diagnostic stemB cells harvested from primary xenografts - diagnostic proB cells harvested from primary xenografts - relapse stemB cells harvested from secondary xenografts injected with stemB cells from primary xenografts - relapse proB cells harvested from secondary xenografts injected with stemB cells from primary xenografts - relapse stemB cells harvested from secondary xenografts injected with proB cells from primary xenografts - relapse proB cells harvested from secondary xenografts injected with proB cells from primary xenografts

  Dataset EGAD50000001830

• Dataset of the transcriptomic profiling of skin biopsies from 221 psoriasis patients following treatment with Zasocitinib

  This dataset contains the paired fastq files generated from 221 samples collected from patients with moderate-to-severe plaque psoriasis and sequenced on the Illumina NovaSeq 6000 platform. Patients were randomized in a 1:1:1:1:1 ratio to receive oral Zasocitinib at doses of 2 mg, 5 mg, 15 mg, 30 mg, or placebo once daily for 12 weeks. Clinical response was defined as achieving a PASI 75 response at week 12, while histologic response was defined as the absence of KRT16-positive cells in lesional skin after 12 weeks of treatment.

  Dataset EGAD50000002224

• scRNA dataset for 15 samples

  This dataset includes single cell (sc)RNA-seq of N=3 patient-derived xenograft (PDX) samples profiled at baseline (no drug treatment) and N=12 samples from one PDX profiled during the course of treatment (N=1 sample each for 4 treatment arms x 3 timepoints). The dataset includes bam files that have been purged of reads mapping to cells where a majority of the reads from that cell mapped to the mouse genome. All scRNA-seq data were generated using the Chromium Next GEM Single Cell 5' Reagent Kits v2 (Dual Index) from 10X Genomics.

  Dataset EGAD50000001424

• LLDeep DAG2+ scRNA-seq in PBMCs

  Single cell transcriptomics of PBMCs of 47 donors from the Lifelines Deep cohort (general population, Northern part of the Netherlands). Cells of five or six different donors were pooled together in one sample pool, resulting in eight different sample pools. In total, 28.855 cells were captured and their transcriptomes were sequenced to an average depth of 74k. Genotype data was available for each donor, which allowed us to use the Demuxlet method that uses variable SNPs between the pooled individuals to determine which cell belongs to which individual. Since genotype information is lacking of 2 individuals, the transcriptome of only 45 individuals could be retrieved.

  Dataset EGAD00010001315

• EGAD00010000602

  WTCCC2 Reading and Mathematics ability (RM) samples from UK using the Affymetrix 6.0 array

  Dataset EGAD00010000602

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

  Dataset EGAD00001004021

• Transposome Bisulfite Sequencing

  DNA belonging to 16 tumour/normal samples were treated with bisulfite, then up to 5 different bisulfite PCRs were performed in each one of the samples. Amplicons form the same sample were pooled and submitted to sequencing on a MiSeq platform.

  Dataset EGAD00001001028

• Whole genome sequence of third generation family member (SFHS)

  Previously we performed deep WGS on 6 parents and 13 children from 3 large families from the Scottish Family Health Study to identify de novo mutations. This prelim is cover the additional sequencing of one grandchild from one of these three families. The inclusion of a third generation individual will provide additional experimental validation for the de novo mutations found in the initial trio. As in the previous study, the DNA will be WGS to a depth of approximately 25X to achieve this purpose.These data can only be used for the investigation of the genetic causes of the reported clinical phenotypes in these patients

  Dataset EGAD00001001454

• Native American Ancient DNA sequencing

  The morphology of the first humans in the Americas (Paleoamericans) differs from that of Native Americans, and has raised the question of whether or not there are also differences in origin or genetics. A few populations who survived until relatively recently have been suggested to retain Paleoamerican morphology. One of these populations is from La Jolla. Here, we have generated genome sequence data from four La Jolla individuals in order to investigate these questions 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/

  Dataset EGAD00001002144

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (RNA-Seq for CD4-positive, alpha-beta T cell, on genome GRCh37)

  RNA-Seq data for 212 CD4-positive, alpha-beta T cell sample(s). 212 run(s), 212 experiment(s), 212 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_rnaseq_analysis_sanger_20160816

  Dataset EGAD00001002671

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (ChIP-Seq for CD14-positive, CD16-negative classical monocyte, on genome GRCh37)

  ChIP-Seq data for 172 CD14-positive, CD16-negative classical monocyte sample(s). 572 run(s), 345 experiment(s), 340 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002672

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (ChIP-Seq for CD4-positive, alpha-beta T cell, on genome GRCh37)

  ChIP-Seq data for 154 CD4-positive, alpha-beta T cell sample(s). 355 run(s), 265 experiment(s), 250 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002673

• Blueprint: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cell types, (RNA-Seq for CD14-positive, CD16-negative classical monocyte, on genome GRCh37)

  RNA-Seq data for 197 CD14-positive, CD16-negative classical monocyte sample(s). 197 run(s), 197 experiment(s), 197 analysis(s) on human genome GRCh37. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/protocols/README_rnaseq_analysis_sanger_20160816

  Dataset EGAD00001002674

• 24 Chordoma samples (WES,WGS)

  Case series of the rare tumor entity chordoma. 9 cases sequenced with Whole Exome Sequencing (WES) and 2 cases sequenced with Whole Genome Sequencing (WGS) were recruited from the personalized oncology program NCT-MASTER/DKTK-MASTER at the German Cancer Research Center. One of the WES patients was re-sequenced at a later time point when he relapsed, this resequencing was done by WGS. Therefore there are 11 patients, one of which with two samples, all of which were sequenced with matched normal controls, amounting to a total number of 24 NGS samples.

  Dataset EGAD00001004825

• Lymphocyte LCM WGS (2020-02-20)

  Using whole genome sequencing of lymphocytes excised from human tissue using laser capture microscopy (LCM), we identify the mutations arising in these microenvironments. This work will contribute towards developing a catalogue of mutations present in tissue resident lymphocytes across a range of tissues, and will characterize the mutational signatures that result from each microenvironment. . This dataset contains all the data available for this study on 2020-02-20.

  Dataset EGAD00001005992

• Whole exome sequencing of atypical 3q26 samples

  The Genomic DNA Clean & Concentrator kit (ZYMO Research) was used to remove EDTA from the DNA samples. Sample libraries were prepared using 100 ng of input according to the KAPA HyperPlus Kit (Roche) using Unique Dual Index adapters (Integrated DNA Technologies, Inc.). Exomes were captured using the SeqCap EZ MedExome (Roche Nimblegen) according to SeqCap EZ HyperCap Library v1.0 Guide (Roche) with the xGen Universal blockers – TS Mix (Integrated DNA Technologies, Inc.). The amplified captured sample libraries were paired-end sequenced (2x100 bp) on the Novaseq 6000 platform (Illumina) and aligned to the hg19 reference genome using the Burrows-Wheeler Aligner (BWA).

  Dataset EGAD00001006102

• Whole genome sequencing data for Molecular Characterization of ETMRs

  This dataset contains whole genome sequencing data from 59 samples. WGS libraries were prepared using the Illumina TruSeq Nano DNA LT Library Prep or TruSeq Nano DNA HT Library Prep Kit following the manufacturer’s instructions. In brief, 100 ng of genomic DNA was fragmented to approximately 350 bp using a Covaris ultrasonicator (Covaris). The fragmented DNA was then end-repaired, size-selected using magnetic beads, extended with an ‘A’ base on the 3′ end and ligated with TruSeq paired-end indexing adapters. Up to four lanes per sample have been sequenced resulting in 222 Fastq files (paired end).

  Dataset EGAD00001006211

• VCF file from 16 patients affected by acute intermittent porphyria

  VCF file from 16 patients affected by acute intermittent porphyria. Whole genome sequencing of these samples was performed in an Illumina HiSeq 4000 instrument. Libraries were prepared using the Fisher PE Kit (Kapa Biosystems). BAM files were processed at the CNAG (Barcelona) with their pipeline, including GATK v3.6 for genotyping and other tools such as snpEff for annotating variants, to produce this VCF file with a total of 10,630,259 variants, out of which 8,731,523 are SNVs.

  Dataset EGAD00001006952

• Paired exome and low-coverage genome sequencing of osteosarcoma

  We perform longitudinal genome-sequencing analysis of 12 patients with metastatic or refractory osteosarcoma. The study was approved at the University Hospital Basel, following the approval of the ethical committee for mutational analysis of anonymized samples (“Ethikkommission beider Basel” ref. 274/12). All tumor samples were evaluated by an experienced bone pathologist to confirm the diagnosis.

  Study EGAS00001005199

• Defective mitophagy and enhanced oxidative stress dictate regulatory T cell impairment in autoimmunity

  Regulatory T cell (Treg) impairment is a common denominator of autoimmune pathologies. Despite the extensive characterization of Treg cell phenotype in autoimmunity, the molecular mechanisms underlying their deterioration remain ill defined. To investigate Treg dysfunction during autoimmunity we performed transcriptomic analysis of CD4+CD25highCD127- Treg cells from peripheral blood of patients with autoimmunity.

  Study EGAS00001004470

• Plasma whole genome sequencing from patients with stage IV colorectal cancer and microsatellite instability

  This study aims to explore genomic features of cancer in plasma WGS data from patients with advanced colorectal cancer. Cell-free DNA (cfDNA) was extracted from plasma using the QIAamp Circulating Nucleic Acid Kit. Libraries were prepared with 5 to 250 ng of cfDNA using the NEBNext DNA Library Prep Kit.

  Study EGAS00001006377

• Spatial tumor microenvironment characterization and outcome of relapsed/refractory classic Hodgkin lymphoma

  About half of relapsed or refractory classic Hodgkin lymphoma (r/r CHL) patients succumb to their disease after high dose chemotherapy followed by autologous stem cell transplantation (HDT/ASCT). Here, we aimed at describing spatially resolved tumor microenvironment (TME) ecosystems to establish novel biomarkers associated with treatment failure in r/r CHL.

  Study EGAS00001007261

• Orthotopic murine Group 3 medulloblastoma in C57Bl/6 mice treated with saline, cyclophosphamide or gemcitabine

  Mice with medulloblastoma (Group 3) were treated with saline, cyclophosphamide, or gemcitabine as described by Abbas et al (2020). Total RNA was isolated with RNeasy Plus Mini Kit (Qiagen), library preparation (SureSelect, Agilent), rRNA depletion (Ribo-Zero Plus, Illumina) and sequencing were carried out by GenomicsWA or Australian Genome Research Facility. Libraries were sequenced on NovaSeq 6000 S1 flow cells as paired-end 150bp reads (Illumina).

  Dataset EGAD00001008511

• Single-cell multi-omics analysis of COVID-19 patients with pre-existing autoimmune diseases

  Single-cell analysis of the transcriptome, T cell immune receptors, and surface proteome (CITE-seq) from peripheral blood mononuclear cells (PBMCs) of COVID-19 patients with pre-existing autoimmune diseases (rheumatoid arthritis n = 5, psoriasis n = 4, or multiple sclerosis n = 3), as well as COVID-19 patients without pre-existing autoimmunity as controls (n = 10) to investigate altered immune responses.

  Dataset EGAD00001007982

• RNA-seq of cells after injection into immunodeficient mice

  This dataset includes 73 samples profiled by high-throughput Illumina sequencing, in bam format, aligned to GRCh37. Normal human CD34+ cord blood (CB), bone marrow (BM), or post-natal thymus (PNT) cells were transduced with various combinations of T-ALL oncogenes, cultured in vitro on OP9-DL1 feeders for up to 25 days, and then transplanted into immunodeficient NSG or NRG mice. The samples were collected after development of frank leukemia in recipient mice.

  Dataset EGAD00001009751

• IntEnd study

  Formalin-fixed, paraffin-embedded samples from 643 colorectal adenomas collected in different hospitals in Norway, from which DNA was extracted, were analysed for DNA copy number alterations. Some adenomas had more than one block (n=42), thus 643 individuals, 685 blocks. Low-coverage whole genome sequencing was run in all samples. For 529 individuals all the clinical information was available. A subset was matched for follow-up time, age and sex in a nested case-control approach (n=366; cases - individuals who developed later on CRC; controls - individuals who did not develop CRC within the same follow-up time).

  Dataset EGAD00001010119