Comprehensive Transcriptional Analysis of Early Stage Urothelial Carcinoma using whole transcriptome sequencing

  • Jakob Hedegaard (Contributor)
  • Philippe Lamy (Contributor)
  • Iver Nordentoft (Contributor)
  • Ferran Algaba (Contributor)
  • Søren Høyer (Contributor)
  • Søren Vang (Contributor)
  • Thomas Reinert (Contributor)
  • Karin Mogensen (Contributor)
  • Mirari Marquez (Contributor)
  • Ulrika Segersten (Contributor)
  • Mattias Aine (Contributor)
  • Mattias Höglund (Contributor)
  • Karin Birkenkamp-Demtröder (Contributor)
  • Niels Fristrup (Contributor)
  • Michael Borre (Contributor)
  • Arndt Hartmann (Contributor)
  • Robert Stöhr (Contributor)
  • Sven Wach (Contributor)
  • Bastian Keck (Contributor)
  • Roman Nawroth (Contributor)
  • Tobias Maurer (Contributor)
  • Cane Tulic (Contributor)
  • Tatjana Simic (Contributor)
  • Kerstin Junker (Contributor)
  • Marcus Horstmann (Contributor)
  • Niels Harving (Contributor)
  • Willemien Beukers (Contributor)
  • Nuria Malats (Contributor)
  • Lars Dyrskjøt (Contributor)

Dataset

Description

The expression profile and sequence variants of 476 early stage urothelial carcinoma were studied using whole transcriptome sequencing. RNA-Seq libraries were prepared by Ribo-Zero treatment of total-RNA (to reduce the rRNA content) followed by library preparation using ScriptSeq. RNA-Seq libraries were paired-end sequenced (2x 101 bp) on Illumina HiSeq 2000 and the resulting fastq files were processed using tools from the Genome Analysis Toolkit (GATK and from the Tuxedo suite. Access to the sequence data (bam and vcf files), containing person identifying information, needs signature on a controlled access form, and can be accessed at The European Genome-phenome Archive (EGA) using the study ID EGAS00001001236 following request. An expression matrix of FPKM values are available without restriction at ArrayExpress.
Date made available2016
PublisherArrayExpress

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