title: Dataset for the proteomic inventory and quantitative analysis of the breast cancer hypoxic secretome associated with osteotropism.
abstract: The cancer secretome includes all of the macromolecules secreted by cells into their microenvironment. Cancer cell secretomes are significantly different to that of normal cells reflecting the changes that normal cells have undergone during their transition to malignancy. More importantly, cancer secretomes are known to be active mediators of both local and distant host cells and play an important role in the progression and dissemination of cancer. Here we have quantitatively profiled both the composition of breast cancer secretomes associated with osteotropism, and their modulation under normoxic and hypoxic conditions. We detect and quantify 162 secretome proteins across all conditions which show differential hypoxic induction and association with osteotropism. Mass Spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the dataset identifier PXD000397 and the complete proteomic, bioinformatic and biological analyses are reported in Cox et al. (2015) [1].
authors.affiliation: Biotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Copenhagen DK-2200, Denmark.
authors.forename: Thomas R
authors.initials: TR
authors.lastname: Cox
authors.affiliation: Cellular Signal Integration Group (C-SIG), Technical University of Denmark (DTU), Lyngby DK-2800, Denmark.
authors.forename: Erwin M
authors.initials: EM
authors.lastname: Schoof
authors.affiliation: The Mellanby Centre for Bone Research, The University of Sheffield, Sheffield S10 2RX, UK.
authors.forename: Alison
authors.initials: A
authors.lastname: Gartland
authors.affiliation: Biotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Copenhagen DK-2200, Denmark.
authors.forename: Janine T
authors.initials: JT
authors.lastname: Erler
authors.affiliation: Biotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Copenhagen DK-2200, Denmark ; Cellular Signal Integration Group (C-SIG), Technical University of Denmark (DTU), Lyngby DK-2800, Denmark.
authors.forename: Rune
authors.initials: R
authors.lastname: Linding
keywords: Bone metastasis; Breast cancer; Hypoxia; Lysyl Oxidase; Pre-metastatic Niche; Proteomics; Secretome