3 Works

Data from: The kinetochore prevents centromere-proximal crossover recombination during meiosis

Nadine Vincenten, Lisa-Marie Kuhl, Isabel Lam, Ashwini Oke, Alastair R. W. Kerr, Andreas Hochwagen, Jennifer C. Fung, Scott Keeney, Gerben Vader & Adèle L. Marston
During meiosis, crossover recombination is essential to link homologous chromosomes and drive 22 faithful chromosome segregation. Crossover recombination is non-random across the genome, 23 and centromere-proximal crossovers are associated with an increased risk of aneuploidy, 24 including Trisomy 21 in humans. Here, we identify the conserved Ctf19/CCAN kinetochore sub- 25 complex as a major factor that minimizes potentially deleterious centromere-proximal crossovers 26 in budding yeast. We uncover multi-layered suppression of pericentromeric recombination by the 27...

Data from: Canine mammary tumours are affected by frequent copy number aberrations, including amplification of MYC and loss of PTEN

Kaja S. Borge, Silje Nord, Peter Van Loo, Ole C. Lingjærde, Gjermund Gunnes, Grethe I. G. Alnæs, Hiroko K. Solvang, Torben Lüders, Vessela N. Kristensen, Anne-Lise Børresen-Dale & Frode Lingaas
Background: Copy number aberrations frequently occur during the development of many cancers. Such events affect dosage of involved genes and may cause further genomic instability and progression of cancer. In this survey, canine SNP microarrays were used to study 117 canine mammary tumours from 69 dogs. Results: We found a high occurrence of copy number aberrations in canine mammary tumours, losses being more frequent than gains. Increased frequency of aberrations and loss of heterozygosity were...

Data from: Novel R pipeline for analyzing Biolog phenotypic microarray data

Minna Vehkala, Mikhail Shubin, Thomas R. Connor, Nicholas R. Thomson & Jukka Corander
Data produced by Biolog Phenotype MicroArrays are longitudinal measurements of cells’ respiration on distinct substrates. We introduce a three-step pipeline to analyze phenotypic microarray data with novel procedures for grouping, normalization and effect identification. Grouping and normalization are standard problems in the analysis of phenotype microarrays defined as categorizing bacterial responses into active and non-active, and removing systematic errors from the experimental data, respectively. We expand existing solutions by introducing an important assumption that active...

Registration Year

  • 2015
    3

Resource Types

  • Dataset
    3

Affiliations

  • Wellcome Trust
    3
  • Howard Hughes Medical Institute
    1
  • Oslo University Hospital
    1
  • New York University
    1
  • University of Edinburgh
    1
  • University of Oslo
    1
  • Akershus University Hospital
    1
  • Cardiff University
    1
  • Max Planck Institute of Molecular Physiology
    1
  • University of Helsinki
    1