5270 results for "*oma"

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• Genome and transcriptome sequence data from a metastatic osteosarcoma (left radius primary, lungmetastasis patient

  Genome and transcriptome sequence data from a metastatic osteosarcoma (left radius primary, lungmetastasis patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016395

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

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

  Dataset EGAD00001016397

• Genome and transcriptome sequence data from a metastatic adenoid cystic carcinoma of the right parotid gland to lymph nodes, lungs and bone patient

  Genome and transcriptome sequence data from a metastatic adenoid cystic carcinoma of the right parotid gland to lymph nodes, lungs and bone patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016400

• Genome and transcriptome sequence data from a metastatic clear cell sarcoma patient

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

  Dataset EGAD00001016401

• Genome and transcriptome sequence data from a braf wild-type malignant melanoma with cns metastasis patient

  Genome and transcriptome sequence data from a braf wild-type malignant melanoma with cns metastasis patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016402

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

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

  Dataset EGAD00001016404

• Genome and transcriptome sequence data from a metastatic distal esophageal adenocarcinoma with nodal and liver metastasis patient

  Genome and transcriptome sequence data from a metastatic distal esophageal adenocarcinoma with nodal and liver metastasis patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016407

• Whole-blood RNA-seq in AtezoBev-treated HCC

  This dataset contains RNA-sequencing BAM files generated from paired whole-blood RNA samples collected from patients with advanced hepatocellular carcinoma treated with first-line atezolizumab–bevacizumab immunotherapy. Samples were collected at baseline before the first infusion (T0) and immediately prior to the second infusion (T1). The dataset includes paired longitudinal samples from 24 patients, comprising 13 responders and 11 progressors. RNA sequencing was performed by Novogene using a GlobinClear-based non-directional mRNA library preparation strategy. These data support transcriptomic analyses of circulating immune activation, treatment response and resistance mechanisms under atezolizumab–bevacizumab therapy.

  Dataset EGAD00001016415

• WGS for PDX NB tumours for EGAS00001008494

  WGS from PDX of Neuroblastoma tumours from 4 patients

  Dataset EGAD00001016419

• Paediatric MN1::ZNF341-associated cancer scRNA-seq

  A lethal round-cell malignancy with an MN1::ZNF341 fusion has recently been reported. Here, using single-cell RNA sequencing data derived from monozygotic twins, we find the tumour to be transcriptionally distinct from neuroblastoma. Instead, it exhibits steroidogenic differentiation. These data, in combination with the clinical, radiological, histopathological and additional molecular findings, corroborate suggestions that this tumour is a distinct and aggressive childhood cancer.

  Dataset EGAD00001016421

• Subset of dataset EGAD00001010108

  This is a subset of data from EGAD00001010108 containing WES/RNA/WGS TFCP2-rearranged rhabdomyosarcoma samples.

  Dataset EGAD00001016432

• RNA-sequencing of HCC of metastatic and de novo origin

  Dataset consists of tumors and matched non-tumor livers from 22 patients with multifocal hepatocellular carcinoma. Tissues were obtained from at least two distinct tumor nodules undergoing liver biopsies. Note: refer to the supplementary table of the manuscript for patient IDs and further clinical data.

  Dataset EGAD50000002957

• Whole-exome sequencing of HCC of metastatic and de novo origin

  Dataset consists of tumors and matched non-tumor livers from 22 patients with multifocal hepatocellular carcinoma. Tissues were obtained from at least two distinct tumor nodules undergoing liver biopsies. Note: refer to the supplementary table of the manuscript for patient IDs and further clinical data.

  Dataset EGAD50000002958

• RNASeq on HiSeq platform of 95 pancreatic adenocarcinoma cases

  BAM outputs from RSEM (https://deweylab.github.io/RSEM/) analysis of RNASeq sequencing on HiSeq platform of tumour samples from 95 pancreatic adenocarcinoma cases.

  Dataset EGAD00001003298

• Whole genome sequencing and whole exome sequencing of DIPG tumors and matched normal tissue

  Diffuse Intrinsic Pontine Glioma (DIPG) is a fatal brain cancer that arises in the brainstem of children with no effective treatment. To understand what drives DIPGs we integrated whole-genome-sequencing with methylation, expression and copy-number profiling.

  Dataset EGAD00001003305

• Glioblastoma CRISPR Screen (2017-04-27)

  This is an in vitro genome-wide CRISPR/cas9 screen in human glioblastoma stem cells, screening for genes essential for survival of these cells. These cells express cas9 and have been transfected with a guide RNA library causing gene knockouts. We will analyse the sequencing data for depletion of guide RNAs. This dataset contains all the data available for this study on 2017-04-27.

  Dataset EGAD00001003308

• Multiple Myeloma Diagnosis to Relapse study samples (2017-04-27)

  The study will investigate serial samples from the same patient taken at the time of MGUS or SMM diagnosis, and later at the time of evolution towards MM. Samples will be sequenced by whole genome along with a matched normal to obtain the highest possible amount of information toinvestigate genomic changes at disease evolution. This dataset contains all the data available for this study on 2017-04-27.

  Dataset EGAD00001003309

• RNA-sequencing of SYSCOL colorectal adenoma-carcinoma samples

  RNA-sequencing alignment for SYSCOL colorectal adenoma-carcinoma samples

  Dataset EGAD00001003318

• Single-cell RNA sequencing on 5063 single T cells from six hepatocellular carcinoma patients

  T cells isolated from peripheral blood, tumors and adjacent normal tissues from six hepatocellular carcinoma patients. SmartSeq2 and Tang2009 protocol were used to amplify RNA from single T cells. High depth enables simultaneously expression profiling and TCR assembling.

  Dataset EGAD00001003337

• Radiotherapy induced Sarcoma exome (2017-05-17)

  Whole exome library making will be performed on genomic DNA derived from radiotherapy induced sarcoma samples and matched normal DNA from the same patients. Next Generation sequencing will be performed on the resulting libraries and mapped to build 37 of the human reference genome to facilitate the identification of mutations This dataset contains all the data available for this study on 2017-05-17.

  Dataset EGAD00001003339

• Whole Genome Sequencing of Mutifocal HCC tisue

  The differentiation of distinct multifocal hepatocellular carcinoma (HCC): multicentric disease vs. intrahepatic metastases, in which the management and prognosis varies substantively, remains problematic. We aim to stratify multifocal HCC and identify novel diagnostic and prognostic biomarkers by performing whole genome and transcriptome sequencing, as part of a multi-omics strategy.

  Dataset EGAD00001003348

• ChIP-Seq on multiple myeloma and plasma cell leukaemia cell lines

  ChIP-seq data (H3K4Me1, H3K4Me3, H3K27Ac histone modifications) in experimental triplicates on multiple myeloma cell line KMS11 and plasma cell leukaemia cell lines L363 and JJN3. ChIP reactions were performed on a Diagenode SX-8G IP-Star Compact using Diagenode automated Ideal Kit. ChIP libraries were generated using HTP Illumina library preparation kit, and sequenced using Illumina HiSeq 2000 with 100 bp single-ended reads. ChIP-seq files are in BED format.

  Dataset EGAD00001003349

• RNASeq on HiSeq platform of 56 samples from 46 melanoma cases

  BAM outputs from STAR (https://github.com/alexdobin/STAR) analysis of RNASeq sequencing on HiSeq platform of 56 tumour samples from 46 melanoma cases. Gene model = Ensembl version 70

  Dataset EGAD00001003353

• Identification of molecule relationship between intravenous leiomyomatosis and uterus myoma

  Up to now, there are two hypothesis about the pathogenesis of the relationship of intravenous leiomyomatosis and uterine myoma. One theory suggests that the IVL comes from the smooth muscle cell in the vessel wall.The other theory indicates that the IVL derives from the uterine myometrium. However, limited to the technology, few studies have been deeply explore the underlying relation. In this study, we employ the RNA sequencing to explore the molecule relationship between IVL and uterus myoma. In order to identify the molecule relationship between IVl and uterine myoma we conducted transcriptome sequencing and bioinformaitc analysis

  Dataset EGAD00001003356

• Whole exome sequencing on HiSeq platform of tumour-normal sample pairs from 53 melanoma cases

  Aligned, merged and deduplicated BAM files from HiSeq whole exome sequencing of 106 samples: matched tumour-normal pairs from 53 melanoma patients.

  Dataset EGAD00001003357