16476 results for "sec+and+unspecified+malignant+neoplasm"

in 23.09 milliseconds.

• RNA-seq BAM files from newborn screening dried blood spot samples

  Paired-end RNA-seq BAM files from 21 newborn screening dried blood spot (DBS) samples. These DBS samples were obtained from extremely low gestional age newborns, where 10 of them were affected by a fetal inflammatory response (FIR) before birth, and 11 were unaffected. Total RNA was sequenced using an Illumina NextSeq-500 instrument. The sample preparation protocol included the depletion of rRNA and globin mRNA using the Globin Zero Gold rRNA Removal Kit from Illumina. Libraries were prepared using the NebNext Ultra TM II Directionl RNA LIbrary Prep Kit (New England Biolabs). There is one BAM file per sample and there is an additional BAM file, corresponding to sample BS13, which was downsampled to 1/4 of its original depth (see BS13_README file for details).

  Dataset EGAD00001005009

• Direct transcriptional consequences of somatic mutation in breast cancer

  The disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription; co-ordinated secondary alterations in transcriptional pathways; and increased transcriptional noise. To catalogue the rules governing how somatic mutation Overall, 59% of 6980 exonic substitutions were expressed. Compared to other classes, nonsense mutations showed lower expression levels than expected with patterns characteristic of nonsense-mediated decay. 14% of 4234 genomic rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusion transcripts and premature poly-adenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes may drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data therefore reveals the rules by which transcriptional machinery interprets somatic mutation.

  Dataset EGAD00001002236

• Targetable NOTCH1 rearrangements in reninoma

  Reninomas are exceedingly rare renin-secreting kidney tumours that derive from juxtaglomerular cells, specialised smooth muscle cells that reside at the vascular inlet of glomeruli. They are the central component of the juxtaglomerular apparatus which controls systemic blood pressure through the secretion of renin. We assessed somatic changes in reninoma and found structural variants that generate canonical activating rearrangements of NOTCH1, whilst removing its negative regulator, NRARP. Accordingly, in single reninoma nuclei we observed excessive renin and NOTCH1 signalling mRNAs, with a concomitant non-excess of NRARP expression. Re-analysis of previously published reninoma bulk transcriptomes further corroborates our observation of dysregulated Notch pathway signalling in reninoma. Our findings reveal NOTCH1 rearrangements in reninoma, therapeutically targetable through existing NOTCH1 inhibitors, and indicate that unscheduled Notch signalling may be a disease-defining feature of reninoma.

  Dataset EGAD00001010887

• Whole exome sequencing for clarification of rare causes of axonal Charcot-Marie-Tooth disease (2017-08-16)

  The project is focused on the axonal forms of Charcot-Marie-Tooth (CMT) disease. We have selected 13 families (7 from Spain and 6 from Czech Republic) that have been indepth clinically assessed and previously tested for mutations in known CMT genes without causal variants characterised. In these patients we expect to discover several CMT2 genes. Thus, we requested for exome sequencing of 45 DNAs:27 exomes in families from Spain and 18 exomes in the families from Czech Republic. 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/ This dataset contains all the data available for this study on 2017-08-16.

  Dataset EGAD00001003565

• Autozygosity pilot - QMUL

  The offspring of first cousin marriages have ~6% of their genome autozygous, i.e. homozygous identical by descent, or even more if there was further consanguinity in their ancestry. In the UK there are large populations with very high first cousin marriage rates of 20-50%. Sequencing the exomes of a sample of these individuals has the potential both to support genetic health programmes in these populations, and to provide genetic research information about rare loss of function mutations. This pilot study based on existing British-Pakistani cohort samples will identify homozygous individuals for almost all variants down to an allele frequency around 1%, plus individuals carrying hundreds of new homozygous rare loss-of-function variants, and will support development of community relations and ethics for a wider study currently being designed. The data deposited in the EGA consists of low coverage whole exome sequencing on these samples.

  Dataset EGAD00001001027

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• Walter and Eliza Hall Institute Research Data Access Committee

  Dac EGAC00001002877

• Carcinosarcoma Cohort from NHS Greater Glasgow, Clyde Biorepository, and Imperial College London

  Dac EGAC00001003299

• Department of Pathology and Tumor Biology, Kyoto University Data Access Committee

  Dac EGAC00001003220

• Data Access Commitee for single-cell analysis of multiple myeloma and precursors

  Dac EGAC00001002920

• Longitudinal DNA methylation in the Lothian Birth Cohorts of 1921 and 1936

  Dac EGAC00001000218

• Associations between APOE and cognitive ability in Generation Scotland.

  Dac EGAC00001000332

• Peter Mac Translational Breast Cancer Genomics and Therapeutics Lab Data Access Committee

  Dac EGAC00001000837

• DAC: Whole-genome and transcriptome sequencing of tumor-stage mycosis fungoides

  Dac EGAC00001000847

• The APL DAC comprises a clinician and biologist who conducted the study.

  Dac EGAC00001000865

• DAC for Integrated Genomic, Epigenetic, and Expression Analyses of Ovarian Cancer Cell Lines

  Dac EGAC00001001101

• Performance assessment of total RNA sequencing of human biofluids and extracellular vesicles

  Dac EGAC00001001591

• Human MPN RNA-seq and DNA methylation data requests committee

  Dac EGAC00001001688

• University of Helsinki Systems Biology and Turku University Hospital Data Access Committee

  Dac EGAC00001001978

• Data access committee for Gut microbiome of BA patients and normal controls

  Dac EGAC00001002146

• Department of Pathology and Tumor Biology, Kyoto University Data Access Committee

  Dac EGAC00001002205

• Variation and transmission of the human gut microbiota across generations - 16S data

  Dac EGAC00001002344

• Variation and transmission of the human gut microbiota across generations - shotgun data

  Dac EGAC00001002355

• "DAC for RNAseq from regions of insitu and invasive human mammary ductal disease"

  Dac EGAC00001002538

• DAC - U1085 Team Physiology and Physiopathology of the urogenital tract (INSERM / IRSET)

  Dac EGAC00001002830